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senior ml engineer

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

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

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

Spotify

<div><div><div><div><div><div>Engineering</div></div></div><div><div>
Machine Learning</div></div></div><div><div>
Permanent</div></div><div><div>
New York, Boston or United States of America (Home Mix)</div></div><div><div>
The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists.</div></div><div><div><div><br>
</div><div>Generative AI is transforming Spotify&rsquo;s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This ML Manager will focus on the serving of a Unified Recommender model, based on open-weight LLM and transformer technology. You will collaborate with a diverse team to establish and implement the machine learning plan for the product domain, developing innovative recommendations and agent interactions. You will work as a technology leader, managing a team and influencing peers. You will collaborate with internal customers and platform teams, offering the opportunity to profoundly build the direction of the entire Spotify experience.</div><div><br>
</div><div>Join us and you&rsquo;ll keep millions of users listening and engaging with our platform every day!</div></div></div></div><div><div><p>
What You&rsquo;ll Do</p><ul><li>
Lead a high-performing engineering team to develop, build, and deploy a high-scale, low-latency LLM Serving Infrastructure.</li><li>
Drive the implementation of a unified serving layer to support multiple LLM models and inference types (batch, offline eval flows and real-time/streaming).</li><li>
Lead all aspects of the development of the Model Registry for deploying, versioning, and running LLMs across production environments.</li><li>
Ensure successful integration with the core Personalization and Recommendation systems to deliver LLM-powered features.</li><li>
Define and champion standardized technical interfaces and protocols for efficient model deployment and scaling.</li><li>
Establish and monitor the serving infrastructure's performance, cost, and reliability, including load balancing, autoscaling, and failure recovery.</li><li>
Collaborate closely with data science, machine learning research, and feature teams (Autoplay, Home, Search, etc.) to drive the active adoption of the serving infrastructure.</li><li>
Scale up the serving architecture to handle hundreds of millions of users and high-volume inference requests for internal domain-specific LLMs.</li><li>
Drive Latency and Cost Optimization: partner with SRE and ML teams to implement techniques like quantization, pruning, and efficient batching to minimize serving latency and cloud compute costs.</li><li>
Develop Observability and Monitoring: build dashboards and alerting for service health, tracing, A/B test traffic, and latency trends to ensure consistency to defined SLAs.</li><li>
Contribute to Core LPM Serving: focus on the technical strategy for deploying and maintaining the core Large Personalization Model (LPM).</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
5+ years of experience in software or machine learning engineering, with 2+ years of experience managing an engineering team.</li><li>
Hands-on with ML Engineering: you have deep expertise in building, scaling, and governing high-quality ML systems and datasets, including defining data schemas, handling data lineage, and implementing data validation pipelines (e.g., HuggingFace datasets library or similar internal systems).</li><li>
Deep technical background in building and operating large-scale, high-velocity Machine Learning/MLOps infrastructure, ideally for personalization, recommendation, or Large Language Models (LLMs).</li><li>
Proven track record to drive complex projects involving multiple partners and federated contribution models (&quot;one source of truth, many contributors&quot;).</li><li>
Expertise in designing robust, loosely coupled systems with clean APIs and clear separation of concerns (e.g., distinguishing between fast dev-time tools and rigorous production-like systems).</li><li>
Experience integrating evaluation and testing into continuous integration/continuous deployment (CI/CD) pipelines to enable rapid 'fork-evaluate-merge' developer workflows.</li><li>
Solid understanding of experiment tracking and results visualization platforms (e.g., MLFlow, custom UIs).</li><li>
A pragmatic leader who can balance the need for speed with progressive rigor and production fidelity.</li></ul></div></div><div><div><p>
Where You&rsquo;ll Be</p><ul><li>
This role is based in New York or Boston.</li><li>
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $176,166- $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Machine Learning Engineering Manager, LLM Serving & Infrastructure

Nissin Ion Equipment USA, Inc.

<div><div>Nissin Ion Equipment USA, Inc. (NIUSA), a Sumitomo Electric Group (SEG) Company, is seeking an Implant Engineer to work in an R&amp;D environment with the engineering team and scientists to develop new technologies for ion implanters. The Implant Engineer will have a proven track record of excellence as an Implant Engineer at NIUSA, with strong skills in engineering, technical service, and teamwork, all aimed at strengthening the R&amp;D of NIUSA. Additionally, this role involves mentoring FSEs to enhance their technical expertise and professional development. This position requires on-site presence every working day in our North Billerica, MA Office</div><div>
</div><div><b>
Job Duties and Responsibilities</b></div><ul><li>
Working in an R&amp;D environment with the engineering team and scientists to develop new technologies for ion implanters.</li><li>
Perform maintenance, operate the ion implanter, and troubleshoot problems as they arise.</li><li>
Assist with facilities management, including water chillers, air compressors, HVAC equipment, and nitrogen gas delivery systems.</li><li>
On call 24/7 for any emergency facility issues on off-hours.</li><li>
Represent Nissin Ion Equipment Japan, NIUSA, and SEG with professionalism, integrity, and technical excellence.</li><li>
Lead by example, promoting a culture of collaboration, accountability, and continuous improvement.</li><li>
Support internal and external reporting needs, including customer presentations and performance updates.</li><li>
Collaborate with senior leadership on strategic initiatives and follow through on recommendations.</li><li>
Ensure proper service documentation and record-keeping.</li><li>
Plan and supervise service activities, as needed.</li><li>
Encourage open communication within the R&amp;D team and solicit feedback for improvements.</li><li>
Submit weekly operational status reports to leadership.</li><li>
Engage in ongoing professional development through training, seminars, and conferences.</li><li>
Comply with and model NIUSA policies and procedures.</li><li>
Perform other duties as assigned.</li></ul><div><b>
Qualifications</b></div><ul><li>
At least 2 + years&rsquo; experience successfully working with an Ion Implanter, or other accelerator-based technology experience.</li><li>
Requires mechanical assembly skills, electrical troubleshooting skills, vacuum system experience, vacuum leak check skills, and knowledge and experience with robotic wafer handling systems.</li><li>
Associate's degree in Electrical Engineering, Mechanical Engineering, Software Engineering, or related fields.</li><li>
(Preferably) Requires Respirator certification and Forklift operator qualification. Trainings will be provided for both of the certification and qualification as needed.</li><li>
Ability to prioritize tasks and work independently with minimal supervision.</li><li>
Understanding of industry-related laws and regulations, stats/local regulations.</li><li>
Ability to work effectively with the diverse backgrounds of staff across the globe.</li><li>
Ability to effectively gather, analyze, and interpret data and conduct needs assessments.</li><li>
Good attention to detail with high degree of accuracy and great time management.</li><li>
Ability to maintain confidentiality and handle sensitive information.</li><li>
Excellent verbal/written communication skills in order to effectively interact with coworkers and vendors.</li></ul><div><b>
Working Conditions
</b></div><ul><li>Stand by for potential calls for emergency facility issues 24 hours a day, in cooperation with management staff. The Implant Engineer will often be required to enter the clean room and follow all the clean room protocols. At times, a heavy item may need to be replaced. The Implant Engineer is often required to work with toxic gases and chemicals. Also, it requires gas bottle changes and cleaning of contaminated components in a flow hood as part of assembly rebuilds. The Implant Engineer is expected to follow all NIUSA and site safety rules, including, but not limited to, lock-out tag-out, the two-man worker rule, and proper gas handling.</li></ul><div>
</div><div>
The base annual salary for this position is $ 95,000 to $100,000 (Full-Time, Exempt Position).</div><div>
</div><div>
Compensation may vary depending on a number of factors, including a candidate&rsquo;s experience, qualifications, skills, competencies and location. Base pay is one part of the total compensation and benefits package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives.
</div><div></div><div><b>About Nissin Ion Equipment USA, Inc.
</b></div><div>
</div><div>Nissin Ion Equipment USA, Inc. (NIUSA) is a multi-national company supplying and supporting state-of-the ion implanters and flat panel display equipment. Nissin Ion has multiple subsidiaries supporting their equipment which is supplied to the world's leading foundry, logic, memory and flat panel display companies.</div><div>
</div><div>
NIUSA has two locations in the United States. The sales and service office is located in Austin, Texas while the R&amp;D and applications office is located in Billerica, Massachusetts.</div><div>
</div><div>
Please visit for more info: https://www.nissinimplanter.com/.</div><div>
</div><div>
NIUSA is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, national origin, disability, age, genetics, protected veteran status, or any other characteristic protected by law.
</div><p><b>About Sumitomo Electric Group</b></p><p>
Since the founding of Sumitomo Electric Industries, Ltd. in 1897 with copper wire production, we have developed many new technologies and products through innovative R&amp;D activities based on Sumitomo Electric manufacturing technologies for electric wires and power cables. With more than 320 subsidiaries worldwide, we continue to introduce a wide variety of products that fulfill the expectations of society in five business fields: Automotive, Information &amp; Communications, Electronics, Environment &amp; Energy, and Industrial Materials.</p><p>
To learn more about Sumitomo Electric Group, please visit www.sumitomoelectric.com.</p></div><div></div>

Implant Engineer

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