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<h3>Job Description</h3>
Job Description
The company will not interview or hire any resumes/candidates who need sponsorships, i.e., H1BVs, only US Citizens, or Green card holders!
&nbsp;
Top Wealth Management firm needs someone who has experience in the financial services arena.. understands trading and backed up with a minimum of 5 years out of a Top Firm!!
You need to have investment management experience! This is a must!
Also must work onsite ...5 days a week! M-F.
&nbsp;
• Implementation of new and improvement of existing business applications.
• Work with various Investment teams, Trading and other business units to design, develop and maintain solutions that will enhance performance, automate workflows and reduce errors.
• Support existing systems.
&nbsp;
Qualifications and Technical Skills:
• Minimum of a bachelor’s degree in computer science or equivalent.
• Five plus years of software development experience with strong analysis, design, and modeling skills. Financial services industry preferred.
• Proficiency in SQL programming along with database modeling and design, primarily using Microsoft SQL Server.
<ul>
<li>Proficiency in using C# and/or Java for back-end development.</li>
<li>Experience with version control systems (Git, TFVC).</li>
<li>Excellent problem-solving and debugging skills.</li>
<li>Ability to work independently and as part of a team.</li>
<li>Strong communication and interpersonal skills.</li>
<li>Experience with one or more of the following will be considered a plus:</li>
<li>
<ul>
<li>Charles River Investment Management System</li>
<li>Markit EDM Platform</li>
<li>Data Warehouse Platforms</li>
<li>Front-end web frameworks like Angular/React</li>
<li>Large Language Models like GPT</li>
</ul>
</li>
</ul>
&nbsp;
In addition to a competitive base salary, a Bonus will be offered, along with full benefits!
&nbsp;
Company DescriptionGreat reputation and high employee morale! Well Established! 
<h3>Company Description</h3>
Great reputation and high employee morale! Well Established!

Software Engineer Analyst

<h3>Job Description</h3>
Job Description
Mission:
We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. 
At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects &amp; long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. 
What You'll Do:
<ul>
<li>Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI's for the validation of the autonomous vehicle performance.</li>
<li>Drive innovation by researching and developing new large scale data analysis systems.</li>
<li>Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.</li>
<li>Build high-quality datasets to improve ML products through training &amp; edge case validation.</li>
<li>Provide statistical depth on model performance &amp; generalization through rigorous error and change analysis.</li>
</ul>
What We're Looking For:
<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li>
<li>Strong programming skills in Python, SciPy, and related data analysis frameworks.</li>
<li>Experience in machine learning, data mining, and statistical analysis.</li>
<li>Experience with large-scale data processing and distributed computing technologies.</li>
<li>Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development. </li>
</ul>
Bonus Points:
<ul>
<li>Ph.D. in Computer Science or a related field.</li>
<li>Experience with cloud platforms such as AWS, Google Cloud, or Azure.</li>
<li>Experience with machine learning in the autonomous driving domain.</li>
<li>Publications or contributions to the AI/ML community.</li>
</ul>
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. 
Salary Range$159,000—$207,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. 
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit <a href="http://www.Motional.com" target="_blank">www.Motional.com</a> and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Senior Data Engineer

<h3>Job Description</h3>
Job Description
About Care Access
Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow.
With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.
To learn more about Care Access, visit <a href="http://www.CareAccess.com" target="_blank">www.CareAccess.com</a>.
How This Role Makes a Difference
We are seeking an experienced and detail-oriented professional to join our team as a Sr. Data Engineer. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices, along with strong collaboration skills to help drive excellence across our data infrastructure. 
How You'll Make An Impact
Data Engineering Strategy and Architecture:  
<ul>
<li>Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.  </li>
<li>Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows. </li>
<li>Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools.  </li>
</ul>
Data Infrastructure and Performance Optimization:  
<ul>
<li>Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).  </li>
<li>Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness.  </li>
<li>Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance.  </li>
</ul>
Collaboration and Stakeholder Engagement: 
<ul>
<li>Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions.  </li>
<li>Review and refine work completed by other team members, ensuring quality and performance standards are met.  </li>
<li>Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity</li>
</ul>
Technology and Tools: 
<ul>
<li>Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions.  </li>
<li>Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms.  </li>
<li>Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations. </li>
</ul>
Other Responsibilities:
<ul>
<li>Continuous Improvement: Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance. </li>
</ul>
The Expertise Required
<ul>
<li>Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure.  </li>
<li>Experience working with structured and semi-structured data from diverse domains.  </li>
<li>Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices.  </li>
<li>Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions. </li>
</ul>
Certifications/Licenses, Education, and Experience:
<ul>
<li>Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field.  </li>
<li>5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines.  </li>
</ul>
How We Work Together
<ul>
<li>This role requires 100% of work to be performed in a remote office environment and requires the ability to use keyboards and other computer equipment. </li>
<li>This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role. </li>
</ul>
The expected salary range for this role is $120,000-$160,000 USD per year. In addition to base pay, employees may be eligible for 401k, stock options, health and wellness benefits and paid time off.
Diversity &amp; Inclusion
We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission. 
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Care Access is unable to sponsor work visas at this time.
If you need an accommodation to apply for a role with Care Access, please reach out to: <a href="mailto:TalentAcquisition@careaccess.com" target="_blank">TalentAcquisition@careaccess.com</a>

<h3>Job Description</h3>
Job DescriptionThe Company:Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built&nbsp;in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We’re seeking the thinkers, builders, and researchers who can help us deliver the future of automation.Job Summary:Are you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.Tutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.Our Culture:We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.Responsibilities
<ul>
<li>Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops</li>
<li>Involvement in new project planning</li>
</ul>
Prerequisites
<ul>
<li>Strong programming skills in Python</li>
<li>Software engineering tooling: git, unix shell, etc</li>
<li>Collaborative nature and social skill set</li>
<li>Interest in robotics, AI, solving hard problems, or improving the future of humanity</li>
<li>Passion for building things (and just getting stuff done)</li>
</ul>
Nice to Haves
<ul>
<li>Experience building web applications with React</li>
<li>Background or interest in ML or robotics</li>
<li>Experience leading teams and projects</li>
</ul>
All offers include generous equity, fully covered health + dental, and unlimited PTO.

Platform Software Engineer

<h3>Job Description</h3>
Job Description
Job Tittle: Data Engineer 
Location - Boston, MA (Need Local) Visa: USC, GC, H4-EAD, GC-EAD 
 
Must have: Spark, Scala, AWS, ETL, Python, lambda/glue/s3 
 Key responsibilities: AWS data engineers are responsible for designing and building data pipelines and developing ETL/ELT processes using tools such as AWS Glue, EMR, and Redshift to prepare data for analytics. They integrate data from various sources and create and maintain data models efficient for storage and analysis. Ensuring data quality, security, and compliance through implementing checks, validation processes, and security best practices is also crucial. The role involves monitoring and optimizing data processing jobs and databases for performance, collaborating with stakeholders to understand data requirements, and maintaining and operationalizing existing data solutions. 
Minimum Skills Required: At least 6+ years of relevant experience in design, development, complete end-end design of enterprise-wide big data solution.
<ul>
<li>Experience in designing &amp; developing a big data solution using Spark, Scala, AWS Glue, Lambda, SNS/SQS, Cloudwatch is a must. </li>
<li>Strong Application development experience in Scala/Python. </li>
<li>Strong Database SQL experience, preferably Redshift. </li>
<li>Experience in Snowflake is an added advantage. </li>
<li>Experience with ETL/ELT process and frameworks is a must. </li>
<li>Strong background in AWS cloud services like lambda, glue, s3, emr, sns, sqs, cloudwatch, redshift </li>
<li>Expertise in SQL and experience with relational databases like Oracle, MySql, PostgreSQL </li>
<li>Proficient in Python programming for data engineering tasks, automations </li>
<li>Experience with shell scripting in Linux/Unix environments. </li>
<li>Experience with Big Data – Hadoop, Spark </li>
<li>Financial Services experience required </li>
</ul>
Nice to have - knowledge in Machine Learning models, regression, validation If you are interested, please send your Updated Resume with the following info at the earliest. 
<ul>
<li>Full Legal Name: </li>
<li>Current City, State, Zip: </li>
<li>Interview Availability: </li>
<li>Start availability: </li>
<li>Work Authorization: </li>
<li>Phone No: </li>
<li>Hourly Rate: </li>
</ul>

Data Engineer (Financial domain)

<h3>Job Description</h3>
Job DescriptionAt BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture. We are looking for a Flight Data Analytics Engineer to join our growing team. The person in this position will play a pivotal role in enhancing and expanding BETA's existing flight data capabilities by building upon established transformations, evolving our dashboard ecosystem, and ensuring continued reliable data delivery from aircraft systems to end-user dashboards. The ideal candidate enjoys turning complex technical data into actionable insights, possesses a strong understanding of analytical workflows, and is adept at collaborating with diverse stakeholders from aircraft systems engineers to commercial teams. They must be self-directed and comfortable bridging the gap between highly technical aviation systems and the varied analytical needs of flight test, engineering, and commercial teams.&nbsp;How you will contribute to revolutionizing electric aviation:
<ul>
<li>Design and maintain data transformations using Python and SQL to convert raw aircraft systems data into analysis-ready datasets, ensuring accuracy and consistency across the data pipeline</li>
<li>Define performant data models to power dashboards and reporting, maintaining their coherence and evolution over time</li>
<li>Build and maintain interactive dashboards and data exploration tools to support flight test teams, aircraft systems engineers, and other stakeholders</li>
<li>Collaborate with aircraft systems engineering teams to understand data schema changes, system interface updates, and evolving data requirements to ensure transformations remain current and accurate</li>
<li>Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations</li>
<li>Monitor data quality and integrity throughout the pipeline from aircraft systems to end-user consumption, implementing validation checks and error detection mechanisms</li>
<li>Maintain and optimize data processing workflows running on AWS infrastructure, troubleshooting issues and ensuring reliable data delivery</li>
<li>Maintain documentation of code, algorithms, and data definitions, ensuring clarity for other team members and stakeholders</li>
<li>Work with data and subject matter experts to strive for greater self-serve functionality in our data systems</li>
<li>As necessary, facilitate ad-hoc analysis requests using tools like Jupyter notebooks and direct SQL queries</li>
<li>Actively contribute to a collaborative team environment, fostering open communication, mutual respect, and a unified vision to achieve shared goals and drive business value</li>
<li>Participate in collaborative code and work reviews, providing constructive feedback to teammates and incorporating feedback to continuously improve data solutions and maintain team standards</li>
</ul>
Minimum Qualifications:
<ul>
<li>Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field</li>
<li>3+ years of experience in data analysis, business intelligence, or analytics engineering roles</li>
<li>Strong proficiency in Python for data manipulation, analysis, and pipeline development</li>
<li>Advanced SQL skills and experience with relational databases, as well as familiarity with columnar (e.g., RedShift) and non-relational (e.g. DynamoDB) databases</li>
<li>Experience with cloud platforms (preferably AWS) and containerized applications</li>
<li>Proficiency with data visualization tools and dashboard development</li>
<li>Strong analytical and problem-solving skills with attention to detail and data accuracy</li>
<li>Excellent communication skills with ability to work effectively with both technical and business stakeholders</li>
<li> Experience working with time-series data and large datasets</li>
<li>Understanding of data pipeline concepts and ETL/ELT processes</li>
<li>Aptitude for rapidly learning and integrating with APIs</li>
<li>Understanding of DevOps practices including CI/CD, version control (Git), and infrastructure as code</li>
<li>Strong project management and organizational skills</li>
<li>Exceptional troubleshooting skills with the ability to spot issues before they become problems</li>
<li>Experience supporting and working with cross-functional teams in a dynamic environment</li>
</ul>
Above and Beyond Qualifications:
<ul>
<li>Aerospace, aviation, or flight test experience with understanding of aircraft systems and operations</li>
<li>Experience with AWS services including ECS, Fargate, S3, Athena, and related data services</li>
<li>Familiarity with workflow orchestration tools such as Apache Airflow</li>
<li>Experience with modern data lakehouse architectures (Iceberg, Delta Lake, etc.) and query engines like Trino</li>
<li>Grafana expertise including advanced dashboard development, alerting, and plugin usage</li>
<li>dbt (Data Build Tool) experience for analytics engineering workflows</li>
<li>Experience with Jupyter notebooks and Python data science libraries (pandas, numpy, matplotlib, etc.)</li>
<li>Knowledge of data modeling techniques and dimensional modeling concepts</li>
<li>Experience with real-time or streaming data processing</li>
<li>Background in systems engineering or instrumentation with understanding of sensor data and measurement systems</li>
<li>Familiarity with aviation regulations and standards (DO-178, DO-254, DO-330 etc.) as they relate to data systems</li>
</ul>
The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.Build electric airplanes with us! We encourage all driven candidates to apply, even if they do not meet every listed qualification. We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace. Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Flight Data Analytics Engineer \u007C Digital Infrastructure

<h3>Job Description</h3>
Job Description
We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. As a Data Scientist in our organization, you will play a crucial role in developing machine learning algorithms, building data pipelines, and driving insights and predictive suggestions on products purchased. You will work with large amounts of data, handle data preprocessing tasks, and effectively communicate complex systems and algorithms to stakeholders.
Who we are:
Buyers Edge Platform stands at the forefront of revolutionizing the food service industry through technology, purchasing power and partnerships. We are dedicated to empowering stakeholders across the entire food service ecosystem (operators, distributors, manufacturers) with efficiency and unprecedented visibility. With a diverse portfolio of over a dozen brands, our mission is clear: to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated.   
Today, we are one of the largest players in food service, with over 200K operator locations across North America and over $50 billion of aggregated spend volume. Our commitment to food service excellence is proven in four distinct areas of value: Digital Procurement Network, Fresh Solutions, Supply Chain Management, and Software. Buyers Edge Platform is not just a provider – we are a strategic partner on the journey towards a more efficient, connected, and automated future for the foodservice industry. 
This position is fully remote. We are unable to offer work sponsorship for this role.
Your impact:
<ol>
<li>Machine Learning Algorithm Development and Predictive Modeling: Utilize your expertise in machine learning to develop algorithms that analyze and interpret large datasets. Design and implement models that provide valuable insights, predictive suggestions, and accurate forecasting on consumer behavior, product preferences, and market trends.</li>
<li>Data Pipeline Development and Data Handling: Design, implement, and maintain data pipelines to extract, transform, and load data from various sources. Process and manipulate large amounts of data efficiently, ensuring data integrity, quality, and availability. Implement data preprocessing techniques as part of the data pipeline to prepare datasets for analysis and modeling.</li>
<li>Data Analysis and Exploration: Conduct thorough data analysis and exploration to identify patterns, trends, and anomalies within large datasets. Utilize statistical techniques and visualization tools to uncover meaningful insights and drive data-driven decision-making.</li>
<li>Independent Problem Solving: Work independently on complex systems and algorithms, demonstrating strong problem-solving skills and the ability to handle challenges effectively. Take ownership of projects and drive them to successful completion, meeting both technical and business objectives.</li>
<li>Communication and Stakeholder Engagement: Effectively communicate complex technical concepts and the results of your analyses to stakeholders. Articulate the intricacies of systems, algorithms, and insights in a clear and concise manner, enabling stakeholders to make informed decisions.</li>
<li>Collaboration and Teamwork: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to gather requirements, understand business objectives, and align data science initiatives with organizational goals.</li>
</ol>
About you:
<ol>
<li>Educational Background: A bachelor's or master's degree in computer science, statistics, mathematics, or a related field.</li>
<li>Technical Skills: Proficiency in programming languages such as Python. Strong knowledge of machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li>
<li>Data Handling and Pipeline Development: Experience working with large datasets and developing data pipelines for data extraction, transformation, and loading. Proficiency in pandas for efficient data handling and manipulation.</li>
<li>Analytical Thinking: Strong analytical and problem-solving skills with the ability to think creatively and propose innovative solutions. Attention to detail and a passion for working with complex datasets.</li>
<li>Communication Skills: Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Experience presenting findings and insights to stakeholders at various levels of the organization.</li>
<li>Independence and Collaboration: Demonstrated ability to work independently on complex systems and algorithms. Strong teamwork and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.</li>
</ol>
Not sure you meet every qualification? Studies show that diverse applicants often hesitate to apply unless they check every box. At Buyers Edge Platform, we value authenticity and inclusion—if you're excited about the role, we encourage you to apply. You might be exactly who we're looking for!
What's in this for you: 
<ul>
<li>Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more—plus a 401(k) with company match.</li>
<li>Grow with us. Enjoy strong training, development, and competitive pay.</li>
<li>Work-life balance. Our flexible PTO policy lets you take time when you need it—no accrual required.</li>
</ul>
We welcome all.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.

Data Scientist

<h3>Job Description</h3>
Job DescriptionAbout Commonwealth Fusion Systems:&nbsp; Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy. Combining decades of research, top talent, and new technologies, we’re designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future.&nbsp; We’re in the best position to make it happen. Since 2018, we’ve raised nearly $3 billion in capital, making us the largest and leading private fusion company in the world. Now we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team.&nbsp; If that’s you and this role fits, we want to hear from you. Join the power movement as a Scientist - Scenarios and Integrated Modeling Scientist - Scenarios and Integrated Modeling will develop plasma physics scenarios for SPARC and ARC based on comprehensive integrated simulation and modeling of the core and edge plasma.&nbsp; Will coordinate with a multi-institutional team of plasma physics experts to develop and improve an integrated modeling toolset, and to employ that toolset for experimental planning and analysis on SPARC.&nbsp;&nbsp;Commonwealth Fusion Systems is assembling the high-field SPARC tokamak, which aims to be the first magnetic fusion device to achieve net fusion energy, and is predicted to be able to achieve high gain and fusion power up to 140MW.&nbsp; In parallel CFS is designing and optimizing the ARC fusion power plant, the first of which will be built in Virginia in the early 2030s.&nbsp;&nbsp; To achieve SPARC’s goals and validate the physics understanding necessary for optimizing ARC, we plan to develop and continuously improve a comprehensive predictive toolchain, including all physics capabilities needed to evaluate plasma scenario performance and robustness.&nbsp;&nbsp; The person in this role will coordinate and contribute to&nbsp; the development and testing of this toolchain, and its use in planning and executing experiments on SPARC, as well as in development and optimization of future power plants.&nbsp;&nbsp; The person in this role will also play a key role in defining plasma operation goals, identify optimal operation scenarios for each goal, and participate directly in execution and analysis of SPARC operations.What you'll do:
<ul>
<li>Refine, optimize, and validate a comprehensive integrated modeling toolset capable of predicting plasma performance and dynamics</li>
<li>➢&nbsp; Toolset will include models of: core turbulent and neoclassical transport, H-mode pedestal and L-mode edge, coupling to boundary, ICRH heating, energetic particle physics, MHD stability, and impurity transport</li>
<li>➢&nbsp; Toolset will include very rapid execution workflows appropriate for control, rapid execution workflows appropriate for experiment planning and optimization, as well as higher fidelity models for offline analysis and deeper exploration of critical physics</li>
<li>Work closely with a multi-institutional team of experts to incorporate state-of-the-art physics capabilities, and validate models</li>
<li>Employ integrated modeling tools to plan and execute plasma pulses to achieve key goals including net fusion power on SPARC, and continuously improve toolset as new data becomes available</li>
<li>Identify, execute, and continuously improve operational scenario for achieving SPARC goals</li>
<li>Work closely with physics, diagnostics, operations, plasma control, and software teams to design and execute plasma scenarios on SPARC</li>
<li>Contribute to physics design and optimization of ARC</li>
</ul>
What we’re looking for:
<ul>
<li>PhD in plasma physics or a closely related discipline&nbsp;</li>
<li>Minimum 2 years post-PhD experience in magnetic fusion</li>
<li>Significant experience with fusion plasma simulation and modeling software</li>
<li>Significant experience in planning, executing, and/or analyzing fusion experiments</li>
<li>Expertise in magnetic fusion experiment and simulation</li>
<li>Strong insight on physics issues associated with integration of regions (core, edge, boundary) and physics (transport, MHD, heating, plasma material interaction..) in magnetic fusion systems</li>
<li>Strong teamwork skills</li>
<li>Ability to communicate ideas and results clearly</li>
<li>Results focused with understanding of the fusion goal</li>
<li>Ability to think clearly and perform well under pressure</li>
</ul>
Bonus points for:
<ul>
<li>5+ years post-PhD experience, including hands-on experience planning and executing magnetic fusion experiments, and experience using and developing fusion simulation codes</li>
<li>Fusion experiment planning and control room experience</li>
<li>Familiarity with tokamak simulation tools including core transport models, pedestal/edge models, boundary models</li>
<li>Experience with plasma transport codes such as TRANSP, IPS-FASTRAN, ASTRA, JINTRAC, TGYRO.</li>
<li>Familiarity with ICRF physics and operation</li>
<li>Familiarity with MHD physics, and impact of non-axisymmetric fields</li>
<li>Familiarity with tokamak plasma breakdown, rampup and rampdown</li>
<li>Experience developing fusion simulation codes</li>
<li>Experience integrating simulation tools into a robust toolchain</li>
<li>Familiarity with Python, C++, Fortran, and git version control</li>
<li>Experience with broad based fusion collaborations, ideally including international collaborations</li>
</ul>
Must-have Requirements:
<ul>
<li>Perform extended activities such as typing, standing, sitting, etc.</li>
<li>Willingness to travel or work required nights/weekends/on-call regularly</li>
<li>Work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, high current, pressure systems, and cryogenics</li>
</ul>
Salary range for this full-time position + equity + benefits.&nbsp;The actual salary will depend on level, location, qualifications, and experience. The range displayed on each job posting reflects new hire salaries for the position across all US locations. Benefits include:•&nbsp; Competitive compensation with equity•&nbsp; 12.5 Company-wide Holidays•&nbsp; Flexible vacation days•&nbsp; 10 sick days•&nbsp; Generous parental leave policy•&nbsp; Health, dental, and vision insurance•&nbsp; 401(k) with employer matching•&nbsp; Professional growth opportunities•&nbsp; Team-building activities#LI-Hybrid At CFS, we excel in fast-paced environments, driven by our values of integrity, execution, impact, and self-critique. As we grow, we’re eager to bring on mission-driven folks who offer diverse perspectives and fresh ways to tackle challenges. We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law. This role requires compliance with U.S. laws concerning the export of controlled or protected technologies or information (collectively, “Export Control Laws"). Any offer of employment will be contingent on the need for compliance with such Export Control Laws.

Scientist - Scenarios and Integrated Modeling

<h3>Job Description</h3>
Job Description
Mission Summary
At Motional, data plays a critical role in fueling our ML-centered autonomous driving vehicle. Our robo-taxi fleet collects petabytes of data on the road every day – the Data Mining team is mining &amp; filtering the massive influx of fleet data by developing billion-scale data workflows and state-of-the-art mining algorithms. Through our Continuous Learning Framework we continuously improve the on-road performance of ML products for perception, prediction &amp; planning with every mile driven.
We mine for model errors, anomalies, rare objects &amp; long-tail driving scenarios across millions of driving hours – these are used for laser-focused ML model training and continuous edge case validation. We are looking for an engineer to spearhead new mining strategies &amp; workflows and help deliver high-quality data that improve our core ML products. 
Read more about Continuous Learning and Data Mining at Motional:
<ul>
<li>Continuous Learning Framework</li>
<li>Scenario Mining</li>
</ul>
What You'll Do:
<ul>
<li>Own large-scale mining workflows that surface rare objects, model errors &amp; long-tail events.</li>
<li>Build high-quality datasets to improve ML products through training &amp; edge case validation.</li>
<li>Contribute to data processing pipelines that fuel our in-house billion-scale image search engine.</li>
<li>Provide statistical depth on model performance &amp; generalization through rigorous error analysis across complex driving scenarios.</li>
</ul>
What We're Looking For:
<ul>
<li>BS in computer science or similar discipline.</li>
<li>5+ years of experience architecting and shipping high-performance &amp; large-scale distributed systems.</li>
<li>Experience with core AWS services (S3, RDS, EMR, EKS, OpenSearch etc.).</li>
<li>Experience with writing complex yet efficient SQL queries for data analysis purposes.</li>
<li>Experience with common DBMS (PostgreSQL, MySQL, MongoDB etc.).</li>
<li>Experience with data warehousing and parquet data manipulation (e.g. Athena, Redshift, BigQuery).</li>
<li>Experience with Spark, Beam, Kafka, Hadoop or other data processing tools.</li>
<li>Fluency in Python and experience on production-quality software development.</li>
<li>Solid software engineering principles (software design patterns, configuration management, source control, build processes, code reviews, testing methodologies, app containerization, continuous integration etc.).</li>
</ul>
Preferred, but not required:
<ul>
<li>MS/PhD in computer science, machine learning, statistics or computer vision.</li>
<li>Experience with at least one of the following ML techniques/models: Few-shot Learning, Metric Learning, Information Retrieval, Recommender Systems, Contrastive Learning, Semi-supervised Learning, Object Detection / Segmentation / Prediction.</li>
<li>Experience with data visualization tools (Redash, Looker, PowerBI, Tableau etc.).</li>
<li>Experience with PyTorch or other deep learning frameworks.</li>
<li>Experience with A/B testing methodologies and metrics tracking systems.</li>
<li>Experience with machine learning in the autonomous driving domain.</li>
<li>Familiarity with autonomous driving sensors (cameras, lidar, radar, localization sensors etc.). </li>
</ul>
This position can support remote work within the United States.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range$155,300—$207,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. 
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit <a href="http://www.Motional.com" target="_blank">www.Motional.com</a> and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Senior Software Engineer, Data & Machine Learning Infrastructure

<h3>Job Description</h3>
Job DescriptionWho we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. We are seeking an engineer to join our Data Acquisition (DA) team. Engineers at Zus have the opportunity to collaborate with our founding product and engineering leaders to bring our vision to the nation’s healthcare entrepreneurs. This team is responsible for collecting health data from a broad range of internal and external sources and making that data useful for users of the Zus platform.&nbsp; The engineer joining this team will help build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data.&nbsp; The ideal candidate will be excited to take on the challenge of unifying diverse health care data sources to bring a clear picture of patient needs to our customers in ways that the developers of said data sources never thought or cared about. You will work on data pipelines that operate on large scale data using a variety of AWS services (Step Functions, Lambda, DynamoDB, S3, etc).&nbsp; You will also work on RESTful services that are used both internally and externally.&nbsp; Go is our language of choice, although we also have some components written in NodeJS. The team is responsible for deploying, maintaining, and operating its pipelines and services. Our Zus engineering teams are all US-based, and we hire only in the US.&nbsp; In Data Acquisition, we work across a collection of US timezones and also collaborate with our development partners in Central European Time.&nbsp; Zus supports both remote work and hybrid work in the Boston area with an office near South Station, and our teams are a mix of both styles of work.&nbsp; We actively work to make sure all voices are heard and information is shared regardless of your work location. This role begins with a mentorship in Zus engineering best practices, processes and team culture.&nbsp; Folks joining Zus engineering in this role are required to plan on at least 3 months of 50% attendance in the Boston office to get up to speed.You are a good fit because you...
<ul>
<li>Are scrappy and you move fast</li>
<li>Have experience with operationally stable and cost efficient data pipelines</li>
<li>Enjoy owning your work and seeing it deploy safely in production</li>
<li>Have experience building backend software in any language (we use mostly Go with a bit of Node)</li>
<li>Have some experience with working with and deploying software to a cloud environment (ie, GCP, AWS, Azure)</li>
<li>Are excited to ~ finally! ~ enable a true digital revolution in healthcare</li>
<li>Thrive amid the changing landscape of a growing and evolving startup</li>
<li>Enjoy collaboration and solving unique problems</li>
<li>Are in the Boston metro and excited to collaborate in person on a hybrid schedule at least 50% of the time</li>
</ul>
It would be awesome if you were… (any of the following is a great bonus!)
<ul>
<li>Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI),&nbsp; cloud providers (AWS, Azure, GCP)), or Infrastructure as Code (Terraform, CloudFormation, Chef)</li>
<li>Experienced in building services and APIs used by third-party developers</li>
<li>Have supported customers operationally via escalations and/or incidents in a production environment.&nbsp;&nbsp;</li>
<li>Knowledgeable about application security</li>
<li>Experienced in working with healthcare data and APIs</li>
<li>Familiar with the FHIR and/or TEFCA standards</li>
</ul>
We will offer you… • Competitive compensation that reflects the value you bring to the team a combination of cash and equity• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People &amp; Talent, over video interviews. Job scams do exist so please be careful with your personal information. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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