applied ai software engineer Jobs in Boston

applied ai software engineer

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

machine learning engineering manager, llm serving & infrastructure

senior ml engineer

software engineering manager Jobs in Boston

software engineering manager

sr manager, ai engineer

machine learning engineering manager llm serving infrastructure

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

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

Ness Digital Engineering

<div><p><b>Description</b><br>
</p><br>
Role: Functional Data Domain Lead &ndash; Investments<br>
Location: Boston (Hybrid)<br>
<br>
The Functional Data Domain Lead &ndash; Investments will be responsible for driving the design, integration, and governance of investment data across the enterprise. This role will serve as the primary liaison between the Investment, Technology, and Data Engineering teams to ensure data integrity, accessibility, and alignment with strategic investment objectives.<br>
<br>
<b>Key Responsibilities:</b><ul><li>
Strong understanding of Investment data management and reporting processes</li><li>
Partner with Investment teams to understand their technology needs and challenges related to Investment data, analytics, and portfolio management</li><li>
Collaborate with IT team and architects to design, develop and implement technology solutions aligned with investment strategies</li><li>
Oversee the integration of investment data from various sources into a central platform for efficient analysis and reporting</li><li>
Stay up to date on emerging technologies relevant to Insurance Investments like machine learning, AI, cloud computing.</li><li>
Participate in the development of a technology roadmap to support future investment needs and growth</li><li>
Communicate project progress and status updates to stakeholders effectively</li><li>
Identify and manage project risks, develop mitigation plans and ensure project success</li><li>
Demonstrate excellent communication, presentation and interpersonal skills</li><li>
Possess strong analytical and problem-solving abilities to navigate complex financial situations</li><li>
Possess Hands-on experience with querying and analyzing data using SQL (or similar languages)</li><li>
Ability to manage multiple priorities and deadlines effectively</li><li>
Excellent communication and stakeholder management skills</li><li>
Having min 12+ years of relevant professional experience in investment data management</li></ul><br>
<br>
Preferred Qualifications<ul><li>
Strong background in statistical analysis, machine learning, and data visualization</li><li>
Experience with data warehouse and business intelligence initiatives</li></ul></div>

Functional Data Domain Lead – Investments

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

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

AI Engineers

<div><p>AI Engineers, Inc. (AIE) is looking for a <b>Structural Engineer, Team Leader </b>to join our Bridge Inspection and Design teams in Boston, MA. This is an immediate opening for an enthusiastic, highly-organized bridge inspection engineering professional to lead inspections, with the option to assist with load rating and design on new projects. The ideal candidate should possess a &ldquo;can-do&rdquo; attitude, excellent verbal and written communication skills, and an ability to work independently as well as with a team in a dynamic, fast-paced, and innovative consulting firm. This position includes opportunities for personal and professional development and growth.</p><br>
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AIE's industry-leading compensation/benefits package features a company-paid HSA contribution, 401k match, competitive PTO package, ESOP program, mentorship and advancement opportunities, and flexible work environment. Our top-tier benefits programs reflect our passion and culture for investing in our people.</p><br>
<p></p>
<p><b>Requirements/Qualifications:</b></p>
<ul><li>Bachelor of Science in Civil Engineering or related degree</li>
<li>3+ years of experience in bridge inspection, methods, and procedures.</li>
<li>Engineer in Training (E.I.T.) is required</li>
<li>Experience with MA infrastructure projects is preferred
</li><li>MA Professional Engineer (P.E.) designation or ability to obtain within 12 months is preferred</li>
<li>Bridge Design/Rehabilitation and Bridge Load Rating experience is a plus</li>
<li>NHI Inspection and Maintenance of Ancillary Highway Structures, FCM, tunnel inspection NHI courses, railroad, and/or safety training are a plus.</li><li>
Completion of an NHI two (2) week Bridge Inspector&rsquo;s Training Certificate and/or Refresher course within the past 5 years is preferred.</li></ul><br>
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<p><b>
Responsibilities</b></p>
<ul><li> Bridge, tunnel, and ancillary/traffic safety inspections and load ratings</li></ul>
<ul><li> Preparing scheduling, writing inspection reports, assuring QA/QC, and assist with project coordination</li></ul>
<ul><li> Perform structural analyses, develop calculations, and prepare plans in accordance with federal, state, and local agency requirements.</li></ul>
<ul><li> Prepare quantities, cost estimates, and special provisions.</li></ul>
<ul><li> May perform site visits and onsite structure inspections from time to time.
</li></ul><ul><li> Manage and maintain project and QA/QC documentation.
</li></ul><ul><li> Assist project managers with assignments including schedule and budget updates and proposal preparation
</li></ul><ul><li> Perform engineering tasks related to bridge design projects and other transportation-related structural design and analysis projects as time allows</li></ul>
<ul><li> Design steel, concrete, and/or timber bridge elements, walls, and associated structures as time allows</li></ul><br>
<p></p>
<p><br>
<b>Skills &amp; Abilities:</b></p><br>
<p></p>
<ul><li> A self-starter with the ability to work with project teams and manage multiple and concurrent tasks/assignments</li></ul>
<ul><li> Strong organizational skills with ability to manage the inspection duties in the field</li><li> Data driven and detail-oriented with excellent written and verbal communication skills.</li></ul>
<ul><li> Considerable knowledge of Architecture, Engineering, Construction inspection process and procedures.</li></ul>
<ul><li> Ability to meet deadlines and complete work in a timely manner.</li></ul>
<ul><li> Ability and willingness to travel to work sites.</li></ul><br>
<p></p>
<p>AIE is a multi-disciplinary, ENR-500 company with 13 offices in the U.S and over 350 employees. We are an engineering consulting firm providing Bridge, Transportation, Construction Engineering, Water/Wastewater, Site/Civil, Building Systems, Design-Build, Survey/Mapping, and Technology services to public and private clients nationwide. Design, Analysis, Inspection &amp; Evaluation are among the core expertise of the firm, earning us a national reputation for serving on major projects in over 20 states. AIE integrates advanced equipment and technology into our infrastructure engineering services, including drones, laser scanning, artificial intelligence, and point-cloud mapping. Armed with this tech, we are enabling our engineers to perform their work at the highest level.</p><br>
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<p>AIE is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other protected characteristics protected by law. AIE fully endorses equal opportunity for all. EOE/M/F/D/VEV</p></div>

Structural Engineer, Team Leader

Explore 154+ Machine learning engineering manager llm serving infrastructure in Boston this November. Find roles across top companies and apply now to boost your career.