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machine learning engineering manager, llm serving & infrastructure Jobs in Boston

machine learning engineering manager, llm serving & infrastructure

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research ai engineer intern

senior ml engineer

machine learning engineer

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
25WD92933<div></div><div>
Position Overview</div><div>
As a Senior Principal Research Engineer on the AEC Solutions team, you will join a group of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that enhances design and engineering workflows, while providing technical leadership and mentoring to junior team members.</div><div>
Report: You will report to the <i>Machine Learning</i> Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.<br>
Location: We support hybrid work; you will work near our Boston, Massachusetts or Toronto, Canada offices.</div><div>
Responsibilities</div><ul><li><div>
Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources</div></li><li><div>
Mentor junior engineers and provide technical guidance on complex data engineering challenges</div></li><li><div>
Work with large-scale, <i>multi-modal</i> datasets&mdash;including text and geometric data&mdash;to support preprocessing, augmentation, analysis, and content understanding</div></li><li><div>
Transform unstructured AEC data into representations suitable for <i>machine learning</i></div></li><li><div>
Lead cross-functional collaboration with ML Research Scientists and Engineers to align data formats with downstream training and fine-tuning of LLMs</div></li><li><div>
Apply deduplication, normalization, and validation techniques to ensure high-quality data at scale</div></li><li><div>
Architect and optimize pipelines for scalability, reproducibility, and cloud deployment</div></li><li><div>
Drive technical decision-making and influence engineering best practices across the team</div></li><li><div>
Perform requirements analysis, working with team members of different levels and documenting solutions clearly</div></li><li><div>
Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights</div></li><li><div>
Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs</div></li><li><div>
Participate in technical planning and roadmap development</div></li></ul><div>
Minimum Qualifications</div><ul><li><div><i>
Ph.D</i>. or M.Sc. in Computer Science, Engineering, or a related field</div></li><li><div>
10+ years of experience in <i>Machine Learning</i>, Engineering, or related fields</div></li><li><div>
2+ years of experience leading technical projects or mentoring junior engineers</div></li><li><div>
Demonstrated ability to provide technical leadership in cross-functional environments</div></li><li><div>
Hands-on experience in data modeling, architecture, and processing across multiple representations, including 2D/<i>3D</i> <i>geometry</i></div></li><li><div>
Experience with computational <i>geometry</i> and geometric data methods</div></li><li><div>
Familiarity with <i>machine learning</i> concepts and frameworks, and how data is represented for training</div></li><li><div>
Proficiency in Python and strong software engineering practices</div></li><li><div>
Ability to translate theoretical concepts into practical solutions and prototypes</div></li><li><div>
Strong documentation skills for code, architectures, and experiments</div></li><li><div>
Background in Architecture, Engineering, or Construction (AEC)</div></li><li><div>
Excellent communication skills with the ability to influence and guide technical decisions</div></li></ul><div>
Preferred Qualifications</div><ul><li><div>
Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)</div></li><li><div>
Knowledge of the AEC industry and its specific data processing challenges</div></li><li><div>
Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks like <i>PyTorch</i> or Lightning</div></li><li><div>
Solid understanding of core computer science algorithms and scalability considerations</div></li><li><div>
Experience with AWS cloud services and SageMaker Studio for scalable data processing</div></li><li><div>
Experience managing or leading small technical teams</div></li><li><div>
Track record of driving technical innovation and best practices</div></li></ul><div>
The Ideal Candidate</div><ul><li><div>
You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying <i>machine learning</i> techniques</div></li><li><div>
You are comfortable working in newly forming, ambiguous areas where learning and adaptability are key skills</div></li><li><div>
You collaborate easily with others and are comfortable providing technical leadership with minimal direction</div></li><li><div>
You constantly strive to learn new technologies and methodologies while helping others grow</div></li><li><div>
You seek new ways to solve hard problems and can guide others in problem-solving approaches</div></li><li><div>
You are unafraid to put your ideas out there, fail fast, and help create a culture of innovation and learning</div></li></ul><div></div><div>
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.</div><div></div><div>
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact <div>Autodesk Careers</div>.</div></div>

Senior Principal Research Engineer

athenahealth

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
<br><br>
We are looking for a Machine Learning Engineer to join the Clinical Foundations data science zone. The zone through collaboration and innovation, identifies, develops accelerate the integration of machine learning technics in Clinicals R&D - our clinicians and patients experience with athenaOne . This role focuses on developing customized models and innovative solutions which can integrate into various workflows, ensuring high reliability, security and scalability by following best practices.
<br><br>
About you
<br>You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare.
<br><br>
About the team
<br>The athenaClinicals product is a vital component of the athenaOne platform, enabling best experience for our clients and users. The Data Science team is bringing machine learning to bear in automating existing workflows and create more efficient ones. We are working with other engineering leaders in athenaClinicals product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies.
<br><br>
Job Responsibilities
<br>As a member of the athenaClinicals Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following:
<br><br>
Identify opportunities for different machine learning techniques and evaluate which are best
<br><br>
Assist in developing and deploying ML-based production services to our clients
<br><br>
Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so
<br><br>
Apply rigorous testing of statistics, models, and code
<br><br>
Contribute to the development of internal tools and AI team standards
<br><br>
Advocate for responsible AI—focusing on fairness, transparency, and data privacy
<br><br>
Actively participate in technical design discussions and propose innovative solutions to complex challenges
<br><br>
Provide timely and constructive code reviews
<br><br>
Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation
<br><br>
<b>Typical Qualifications:</b><br>
<b>Bachelors or Masters in relevant field:</b> Math, Computer Science, Data Science, Statistics, or related field
<br><br>
4-6 years of professional hands-on experience in developing evaluating & deploying machine learning models
<br><br>
Strong software engineering foundations, with expertise in Python and experience developing production-quality systems using best practices in testing, modularity, and documentation
<br><br>
Provide technical & thought leadership, designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions
<br><br>
Experience with training & fine tuning LLMs & GenAI models is a bonus
<br><br>
Familiarity with NLP or computer vision techniques
<br><br>
Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience
<br><br>
Familiarity with large-scale data processing frameworks and ETL pipelines (e.g., Spark)
<br><br>
Excellent verbal communication and writing skills
<br><br>
Passion for staying current with AI research and applying novel techniques responsibly in production
<br><br>
Understanding of ethics, fairness, and compliance implications of Ai
<br><br>
Expected Compensation
<br>The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
<br><br>
About athenahealth
<br><br>
<b>Our vision:</b> In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
<br><br>
<b>Our company culture:</b> Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.
<br><br>
<b>Our DEI commitment:</b> Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.
<br><br>
<b>What we can do for you:</b><br>
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
<br><br>
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
<br><br>
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
<br><br>
<b>Learn more about our culture and benefits here:</b> athenahealth.com/careers
<br>https://www.athenahealth.com/careers/equal-opportunity

Senior Software Engineer – Clinical Foundations

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you interested in advancing Amazon's Generative AI capabilities? Come work with a talented team of engineers and scientists in a highly collaborative and friendly team. We are building state-of-the-art Generative AI technology that will benefit all Amazon businesses and customers.<br>
<br>
Key job responsibilities<br>
As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying high performance model inference capabilities, including but not limited to multi-modality, SOTA model architectures, latency, throughput, and cost. You will collaborate closely with a team of engineers and scientists to influence our overall strategy, and define the team&rsquo;s roadmap. You will drive system architecture, spearhead best practices, and mentor junior engineers.<br>
<br>
A day in the life<br>
You will consult with scientists to get inspiration of emerging techniques, and blend those into our roadmap; You will design and experiment with new algorithms from public and internal papers, benchmark the latency and accuracy of your implementations; Most importantly you will implement production grade solutions, and see them through the deployments swiftly; You may need to collaborate with other science and engineering teams to get things done properly; You will hold highest bar in operational excellence and support production systems, and constantly create solutions to minimize the ops load.<br>
<br>
About the team<br>
Our mission is to build best-in-class, fast, accurate, and cost-efficient frontier model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>Experience with software performance optimization</li><li>Knowledge of Deep Learning and Transformer architectures</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience with Large Language Model Inference</li><li>Experience with GPU programming (TensorRT-LLM)</li><li>Experience with Python, PyTorch, and C++ programming and performance optimization</li><li>Experience with Trainium and Inferentia Development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer - Generative AI, AGIF | Inference Engine

Shopmonkey

<div><p>Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best.</p>
<p>
As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of agentic AI, applying cutting-edge LLMs and co-pilot frameworks to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver AI that's not only intelligent but trusted and useful. You'll move fast to bring AI agents from discovery all the way through production, helping to shape the future of the automotive care experience. <b>Please note for San Francisco Bay area-based candidates, this is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected to the local team there.</b></p>
<h2 class="jobSectionHeader"><b>
What You Will Do:</b></h2>
<ul><li>Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering).</li>
<li>Design and implement workflows and scripts for agentic conversations based on real-world data.</li>
<li>Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents.</li>
<li>Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.</li>
<li>Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.</li>
<li>Design evaluation agents to enhance the quality and coherence of autonomous conversations.</li>
<li>Work within a modern MLOps environment to ensure scalable and reliable deployment of models.</li>
<li>Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.</li>
<li>Translate complex ML workflows into digestible updates for cross-functional stakeholders.</li>
<li>Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.</li>
</ul><h2 class="jobSectionHeader"><b>We Are Looking For People Who Have:</b></h2>
<ul><li>Proven experience shipping models into production (not just proof-of-concepts).</li>
<li>Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data.</li>
<li>Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).</li>
<li>Cloud infrastructure experience, (e.g. GCP, AWS).</li>
<li>Understanding of MLOps, including orchestration tools like Airflow or Dagster.</li>
<li>Strong collaboration and communication skills&mdash;comfortable working with PMs, designers, engineers and other cross functional team members.</li>
<li>Conducted code reviews and have to ability to provide constructive feedback</li>
<li>Bachelor's degree in a STEM field, or equivalent practical experience.</li>
<li>5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master's or PhD) may offset years of experience.</li>
</ul>
<p><i> </i>Bonus Points:</p>
<ul>
<li>Prior experience working at a high growth startup.</li>
<li>Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).</li>
<li>Background in data processing or real-time analytics.</li>
<li>Experience with Snowflake or other large-scale data warehouse solutions.</li>
</ul>
<p>In the United States, the range is typically a salary of $163,000 to $195,000 + bonus + equity + benefits. The range provided is Shopmonkey's reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.</p><p></p><div>
<h3 class="jobSectionHeader"><b>
Why Shopmonkey?</b></h3>
<h4 class="jobSectionHeader">Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (<b>benefits below are mainly for U.S. based, full-time employees).</b> Other benefits vary upon location outside of the United States, and employment status:</h4>
<h3 class="jobSectionHeader"><b> Health &amp; Wellness</b></h3>
<ul><li>Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date</li>
<li>Short term and long term disability</li>
<li>Employee assistance program</li>
<li>Reimbursement for a personal health and wellness membership</li>
<li>Generous parental leave</li>
<li>401(k) available upon hire</li>
</ul><h3 class="jobSectionHeader"><b>&#9992;&#65039; Time Off</b></h3>
<ul><li>11 paid holidays</li>
<li>Flexible time off - take the time off you need!</li>
</ul> <h3 class="jobSectionHeader"><b>Giving Back</b></h3>
<ul><li>Matching donations for approved charitable organizations</li>
<li>Group volunteer efforts</li>
</ul><h4 class="jobSectionHeader">Check out our founder's story, life page, or hear from real employees about what it's like to work at Shopmonkey.</h4>
<h4 class="jobSectionHeader">Join our team of hungry, humble, smart people who love what they do, and change the auto industry by helping every shop thrive.</h4>
<h3 class="jobSectionHeader"><b>About the Industry</b></h3>
<h4 class="jobSectionHeader">The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience.</h4>
<h3 class="jobSectionHeader"><b>About Shopmonkey</b></h3>
<h4 class="jobSectionHeader">Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform.</h4>
<h4 class="jobSectionHeader">Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B.</h4>
<h4 class="jobSectionHeader">In 2021 Shopmonkey raised a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth.</h4>
<p>
In 2022, Shopmonkey was named #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products &amp; Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in 2023 and 2024.</p>
<h4 class="jobSectionHeader"><i>
Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission.
</i></h4><h4 class="jobSectionHeader"><i>Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</i></h4>
<p><i>
Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at </i><i>hiring@shopmonkey.io</i><i>.</i></p>
<p><b>
Please note: </b>Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:</p>
<ul>
<li>Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications.</li>
<li>Our Talent Acquisition team only corresponds from email addresses with the domain '@Shopmonkey.io'. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer.</li>
<li>While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey's Careers page, or our official LinkedIn Company Page</li>
</ul>
<p>The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiting scams and financial fraud. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.</p></div></div><p></p>

Senior ML Engineer

Fossa

<div><div><p>If you're like us, you agree that open source software is a wonderful and unique gift that the community of software developers across the world have given to each other. At FOSSA, we want to proliferate its usage with our software supply chain management platform that helps our customers know what licenses, vulnerabilities, and dependencies go into their software as they utilize open source software packages. And we won't rest until all companies, big and small, love and feel as comfortable with using open source as we are.</p>
<p><b>
FOSSA</b> is a rapidly growing series-B company with a truly distributed team. While our roots are in San Francisco, our growing team has members in several countries across many time zones. We're always working to find the perfect balance of effective approaches to distributed work, while maintaining the direct personal connections that help us work better together and love our jobs.</p></div><p>
As an applied AI software engineer on our team, you'll be working on researching, designing, prototyping, and implementing our next generation of software at FOSSA. While still working closely with the entire Engineering and Product departments, the R&amp;D team focuses on more experimental software development that will define the future of our company. Our current focus is around using a combination of static analysis, deterministic algorithms, along with LLM interactions, to provide our users with reliable, time-saving, and automated solutions to keeping their projects and the dependencies they use as healthy as possible The R&amp;D team follows a lightweight process that lets the team move fast and learn from experiments quickly. Come help us create the future of FOSSA!</p>
<h4 class="jobSectionHeader"><b>
In this role you will:</b></h4>
<ul><li>Work closely with our R&amp;D business unit to research, plan, design, prototype, and build the future of FOSSA</li>
<li>Own user-impacting functionality from conception to completion</li>
<li>Build and scale the most valuable prototypes into production</li>
<li>Have significant ownership in our technical architecture and R&amp;D roadmap</li>
<li>Primarily work in Typescript, but touch a variety of codebases in other languages, such as Rust, Haskell, or Go</li>
<li>Contribute to structured analysis of various languages (Java, Python, others) our customers use</li>
<li>Experiment with LLMs and context engineering and benchmark the results to ensure we accomplish maximal value and consistency from them</li>
</ul><h4 class="jobSectionHeader"><b>About you:</b></h4>
<ul><li>Experience working on greenfield projects as part of small teams</li>
<li>Experience building and deploying software in high-velocity environments</li>
<li>Experience building and supporting scalable SaaS products and features</li>
<li>Experience with relational databases and writing performant SQL queries</li>
<li>Experience interacting with LLM APIs as a service</li>
<li>Enjoy combining the latest technologies and tools with best practices to accelerate development</li>
<li>Passionate about getting creative with AI to work around its shortcomings in creating automated solutions to complex problems</li>
<li>Interest in the art of programming languages (design, compilers and syntax parsing, etc)</li>
<li>You're comfortable navigating complex domains and building intuitive software for them</li>
<li>You thrive in an environment that prefers prototypes over proposals</li>
<li>Proactive in sharing ideas and informed opinions with others</li>
<li>Attention to detail and quality to anticipate edge cases ahead of time</li>
<li>A growth mindset and willingness to learn new things</li>
<li>You have 6+ years of experience working as a backend or fullstack engineer</li>
</ul>
<p><b>Why you'll love working at FOSSA:</b></p>
<ul>
<li>Amazing team culture and environment</li>
<li>Named by Built In as Best Start-up to work for 2024, 2025 and Forbes 2022</li>
<li>Competitive salary and equity package</li>
<li>Comprehensive benefits package (health, dental, vision, 401k)</li>
<li>Opportunities for professional growth and career development</li>
<li>Fully Remote</li>
<li>Unlimited PTO</li>
</ul>
<p>FOSSA is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</p>
<p>
The annual cash compensation range for this position is $150,000 - $180,000 USD. Final compensation will be determined based on experience and skills and may vary from the range listed.</p></div>

Applied AI Software Engineer

Daice Labs

<div>
 <p>
  <strong>
   Company Description
  </strong>
 </p>
 <p>
  Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. Founded by MIT CSAIL scientists, we focus on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. Operating on two tracks, our Product Lab develops industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications, while our Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures.
 </p>
 <p>
  Join us in taking the next leap in productivity through collaborative innovation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Description
  </strong>
 </p>
 <p>
  This is a full-time remote role for a Research AI Engineer Intern in our R&amp;D department. The Research AI Engineer Intern will be responsible for helping developing and implementing AI and machine learning algorithms, conducting research on new AI methodologies, and applying statistical models to improve hybrid AI systems. Day-to-day tasks include analyzing data , building hybrid architectures (LLMs/DL, symbolic reasoning), and designing efficient evaluation benchmarks. Collaboration with cross-functional teams to integrate AI solutions into broader projects is also a key aspect of this role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Strong foundation in Computer Science
  </li>
  <li>
   Strong foundation in Machine learning algorithms, LLMs, agentic architectures
  </li>
  <li>
   Proficiency in Statistics, evaluation, inference, platform integration
  </li>
  <li>
   Proficiency in python and ML stack programming languages/libraries/toolkits
  </li>
  <li>
   Excellent problem-solving skills and ability to work independently
  </li>
  <li>
   Effective communication skills for collaborative work
  </li>
  <li>
   Bachelor's or Master's degree in Computer Science, AI, or related field
  </li>
  <li>
   Experience with hybrid AI system design is a plus
  </li>
 </ul>
</div>


Research AI engineer intern

CVS Health

<div><p>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.</p><p></p><p>
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.</p><p></p><p><b>
Job Summary:</b></p><p></p><p>
The AI lead, leads the development and deployment of end-to-end AI and Machine Learning (ML) pipelines, ensuring that AI initiatives align with strategic business goals. This role requires a blend of deep technical expertise in AI technologies, architectural design principles, and strong leadership to guide cross-functional teams. This high-level, strategic role requires a professional to bridge the gap between business objectives and technical AI capabilities.</p><p></p><p><b>
Key Responsibilities:</b></p><p></p><p><b>
Strategic Planning and Architectural Design</b></p><ul><li>
Develop a comprehensive AI strategy and roadmap that supports business objectives and drives innovation.</li><li>
Design and develop scalable, secure, and resilient AI systems and infrastructure.</li><li>
Translate business needs and use cases into technical AI and ML solutions.</li><li>
Evaluate and select the most appropriate AI technologies, frameworks, and cloud services (e.g., AWS, Azure, GCP).</li></ul><p><b>
Technical Implementation and Oversight</b></p><ul><li>
Oversee the entire lifecycle of AI projects, from research and design to deployment and monitoring.</li><li>
Collaborate with data scientists and engineers to build robust data pipelines for AI model training and inference.</li><li>
Ensure the seamless integration of AI applications and ML models with existing IT infrastructure and business processes.</li><li>
Optimize AI systems for performance, scalability, and cost efficiency, and troubleshoot technical issues.</li></ul><p><b>
Leadership and Collaboration</b></p><ul><li>
Provide technical leadership and guidance to development teams, including AI engineers and software developers.</li><li>
Collaborate effectively with business stakeholders, product managers, and executives to communicate the potential, limitations, and strategic value of AI initiatives.</li><li>
Foster a culture of innovation and continuous improvement across AI teams.</li></ul><p><b>
Governance and Ethics</b></p><ul><li>
Ensure AI implementations comply with ethical standards, data privacy regulations (e.g., GDPR), and security best practices.</li><li>
Establish and enforce data governance policies for AI model development and data usage.</li><li>
Mitigate risks such as adversarial attacks and data poisoning.</li></ul><p><b>
Research and Development</b></p><ul><li>
Stay up-to-date with the latest advancements in AI research, trends, and technologies.</li><li>
Recommend new methodologies and tools to improve the organization's AI capabilities.</li></ul><p></p><p><b>
Required Qualifications:</b></p><p><b>
Experience</b></p><ul><li>
Extensive experience (5 - 7 years) in software development, data science, or as an AI/ML Engineer.</li><li>
Proven track record of designing, implementing, and deploying scalable AI solutions in a production environment.</li><li>
Demonstrated experience with cloud computing platforms (AWS, Azure, GCP) and MLOps practices.</li></ul><p></p><p><b>
Technical Skills</b></p><ul><li><b>
Programming Languages:</b> Proficiency in Python is essential, along with experience in languages like R, Java, or Scala.</li><li><b>
AI/ML Frameworks:</b> Expertise in machine learning and deep learning frameworks, such as TensorFlow, PyTorch, and scikit-learn.</li><li><b>
Data Technologies:</b> Strong knowledge of big data technologies like Hadoop and Spark, as well as data processing and warehousing techniques.</li><li><b>
AI Concepts:</b> Deep understanding of machine learning models, neural networks, natural language processing (NLP), and computer vision.</li></ul><p><b>
Soft Skills</b></p><ul><li><b>
Problem-Solving:</b> Exceptional analytical and critical thinking skills to address complex technical and business challenges.</li><li><b>
Communication:</b> Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders.</li><li><b>
Leadership:</b> Demonstrated leadership and project management capabilities to guide and mentor teams.</li><li><b>
Adaptability:</b> A commitment to continuous learning to keep pace with the rapidly evolving field of AI.</li></ul><p></p><p><b>
Education</b></p><ul><li>
A Bachelor's degree in Computer Science, Data Science, AI, or a related field</li></ul><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$106,605.00 - $260,590.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 01/02/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Sr Manager, AI Engineer

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