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machine learning engineer

Wiser Solutions

<div><b>Company Description</b><p><br>
Wiser Solutions is a suite of in-store and eCommerce intelligence and execution tools. We're on a mission to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online. Our Commerce Execution Suite is available globally.</p><b><br>
Job Description</b><p><b><br>
LOCATION</b>: This position can be based anywhere in Canada, with a preference for someone in the eastern or central time zone who can work with our teams in the US, Europe and India.</p><p><b><i>
ABOUT THE ROLE</i></b></p><p>
Wiser Solutions is seeking a Principal Machine Learning Engineer to shape and execute our AI and data science strategy. This is a senior technical leadership role for someone who combines deep expertise in machine learning, data science, and production engineering with the business acumen to translate complex capabilities into customer value.</p><p>
You will be the technical authority for AI at Wiser: defining architectural direction, representing our capabilities to customers and partners, and delivering production systems that drive measurable business outcomes. This role requires someone who operates fluidly between strategic planning and hands-on implementation, who can present to executives and debug production pipelines in the same week.</p><p>
We're building an AI-native engineering culture at Wiser, one where AI tools and techniques are woven into how we work, not just what we build. We need a Principal AI Engineer who doesn't just deliver AI products but models AI-augmented ways of working and helps the broader engineering organization adopt them. If you believe AI is fundamentally transforming software development and you're already living that transformation daily, we want to talk.</p><p><b><i>
What You Will Do</i></b></p><p><b>
Strategic Leadership</b></p><ul><li>
Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership</li><li>
Represent Wiser's AI capabilities to customers, partners, and advisors&mdash;articulating our approach, roadmap, and differentiation</li><li>
Identify high-impact opportunities where AI can solve customer problems or create competitive advantage</li><li>
Establish technical standards, patterns, and best practices that influence engineering decisions across the organization</li></ul><p><b>
Technical Execution</b></p><ul><li>
Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models</li><li>
Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results</li><li>
Bridge classical data science approaches (statistical modeling, experimentation design, feature engineering) with modern generative AI techniques</li><li>
Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability</li></ul><p><b>
Cross-Functional Impact</b></p><ul><li>
Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs</li><li>
Mentor and elevate the AI/data science team (3-5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer</li><li>
Collaborate across engineering teams to integrate AI capabilities into Wiser's broader platform architecture</li><li>
Drive build-vs-buy decisions and vendor evaluations for AI infrastructure and tooling</li><li>
Champion AI-native development practices across Wiser engineering&mdash;demonstrating how AI tools accelerate development, improve code quality, and change what's possible</li><li>
Help build an engineering culture where AI augmentation is the default, not the exception</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
15+ years of experience in data science, machine learning, or ML engineering, with demonstrated progression into technical leadership</li><li>
Deep expertise in statistical methods, experimental design, and classical ML (not just LLM integration)</li><li>
Proven ability to architect and deliver production ML/AI systems at scale on cloud platforms (AWS strongly preferred)</li><li>
Strong software engineering fundamentals: you write production-quality code, not just notebooks</li><li>
Track record of organization-wide technical influence&mdash;setting standards, driving architectural decisions, mentoring engineers</li><li>
Experience communicating technical strategy and capabilities to non-technical stakeholders, including customers and executives</li><li>
Demonstrated ability to operate autonomously, identify high-impact problems, and drive initiatives without close direction</li><li>
Active, daily use of AI coding assistants (Cursor, Claude Code, GitHub Copilot) and a demonstrated belief that AI fundamentally changes how software gets built</li></ul><p><b>
Technical Depth Expected:</b></p><ul><li>
NLP and text analytics: embeddings, semantic similarity, classification, entity extraction, and information retrieval</li><li>
LLM integration patterns: prompt engineering, RAG architectures, agent frameworks, evaluation methods</li><li>
Data engineering: pipeline design, data quality, feature stores, and working with large-scale datasets</li><li>
MLOps: model deployment, monitoring, A/B testing infrastructure, and production observability</li><li>
Python ecosystem mastery; SQL fluency; comfort with distributed systems concepts</li></ul><p><b>
Preferred:</b></p><ul><li>
Experience with transformer architectures, fine-tuning, or training custom models</li><li>
Background in retail, e-commerce, or product data domains</li><li>
Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) and vector databases</li><li>
Track record of introducing AI-augmented workflows to teams or organizations</li><li>
Opinions (and evidence) on how AI changes engineering practices, team structures, or development processes</li></ul><p><b><i>
What Success Looks Like</i></b></p><p><b>
First 90 Days:</b> Deep understanding of Wiser's data assets, current AI capabilities, and customer use cases. Identified 2-3 high-impact technical opportunities. Established credibility with the team through hands-on contribution and technical guidance.</p><p><b>
First 6 Months:</b> Delivered at least one significant AI capability to production with measurable customer impact. Documented and socialized architectural standards for AI development. Shaped our AI roadmap based on customer needs and technical opportunity.</p><p><b><i>
Supervisory Responsibility</i></b>: None</p><b><br>
Additional Information</b><p><b><br>
Other Duties</b></p><p>
This position may require being on call rotation to address critical production application issues outside of normal working hours.</p><p>
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.</p><p><b>
EEO STATEMENT</b> - Wiser Solutions, Inc. is an Equal Opportunity Employer and prohibits Discrimination, Harassment, and Retaliation of any kind. Wiser Solutions, Inc. is committed to the principle of equal employment opportunity for all employees and applicants, providing a work environment free of discrimination, harassment, and retaliation. All employment decisions at Wiser Solutions, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, national origin, family or parental status, disability, genetics, age, sexual orientation, veteran status, or any other status protected by the state, federal, or local law. Wiser Solutions, Inc. will not tolerate discrimination, harassment, or retaliation based on any of these characteristics.</p><p>
Base pay is one part of our total compensation package. Pay is established on an individual basis after considering multiple factors such as relevant experience, education, and other qualifications. In addition, we take into account geographical differentials and make sure pay is equitable with our current staff. For this position, our hiring range for base annual pay is estimated to be USD$155,000 to $170,000<b>,</b> at the time of this posting.</p><p>
Performance-based discretionary bonuses and variable pay plans are available for some positions.</p><p>
If you require accommodation to complete any part of the application process or need an alternative manner to apply, please contact us at USTalentAcquisition@wiser.com or call (855) 469-4737. &quot;</p><p>
#LI-Remote</p></div>

Principal Machine Learning Engineer

Red Hat

<div><div><div>Job Summary</div></div><div></div><div><div><div><div><div><div><div><div><div><div>
At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. The Red Hat AI Inference Engineering team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM and LLM-D projects, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.</div><div></div><div>
As a Senior Machine Learning Engineer focused on distributed vLLM infrastructure in the llm-d project, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in scalable inference systems and Kubernetes-native deployments. Your work with machine learning, distributed systems, high performance computing, and cloud infrastructure will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you want to solve cutting edge problems at the intersection of deep learning, distributed systems, and cloud-native infrastructure the open-source way, this is the role for you.</div><div></div><div>
Join us in shaping the future of AI!</div><div></div><div>
What you will do</div><ul><li><div>
Contribute to the design, development, and testing of new features and solutions for Red Hat AI Inference</div></li><li><div>
Innovate in the inference domain by participating in upstream communities</div></li><li><div>
Design, develop, and maintain distributed inference infrastructure leveraging Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments.</div></li><li><div>
Develop and maintain system components in Go and/or Rust to integrate with the vLLM project and manage distributed inference workloads.</div></li><li><div>
Develop and maintain KV cache-aware routing and scoring algorithms to optimize memory utilization and request distribution in large-scale inference deployments.</div></li><li><div>
Enhance the resource utilization, fault tolerance, and stability of the inference stack.</div></li><li><div>
Develop and test various inference optimization algorithms.</div></li><li><div>
Actively participate in technical design discussions and propose innovative solutions to complex challenges for high impact projects</div></li><li><div>
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members</div></li><li><div>
Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements</div></li><li><div>
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts</div></li><li><div>
Mentor and coach a distributed team of engineers</div></li><li><div>
Provide timely and constructive code reviews</div></li><li><div>
Represent RHAI in external engagements including industry events, customer meetings, and open source communities</div></li></ul><div><br>
</div><div>What you will bring</div><ul><li><div>
Strong proficiency in Python and GoLang or similar</div></li><li><div>
Experience with cloud-native Kubernetes service mesh technologies/stacks such as Istio, Cilium, Envoy (WASM filters), and CNI.</div></li><li><div>
A solid understanding of Layer 7 networking, HTTP/2, gRPC, and the fundamentals of API gateways and reverse proxies.</div></li><li><div>
Knowledge of serving runtime technologies for hosting LLMs, such as vLLM, SGLang, TensorRT-LLM, etc.</div></li><li><div>
Excellent written and verbal communication skills, capable of interacting effectively with both technical and non-technical team members.</div></li><li><div>
Experience providing technical leadership in a global team</div></li><li><div>
Autonomous work ethic and the ability to thrive in a dynamic, fast-paced environment</div></li></ul><div><br>
</div><div>Following is considered a plus</div><ul><li><div>
Strong proficiency in Rust, C, or C++</div></li><li><div>
Working knowledge of high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDMA is a plus.</div></li><li><div>
Deep experience with the Kubernetes ecosystem, including core concepts, custom APIs, operators, and the Gateway API inference extension for GenAI workloads.</div></li><li><div>
Experience with GPU performance benchmarking and profiling tools like NVIDIA Nsight or distributed tracing libraries/techniques like OpenTelemetry.</div></li><li><div>
Experience in writing high performance code for GPUs and deep knowledge of GPU hardware</div></li><li><div>
Strong understanding of computer architecture, parallel processing, and distributed computing concepts</div></li><li><div>
Bachelor's degree in computer science or related field is an advantage, though we prioritize hands-on experience</div></li><li><div>
Active engagement in the ML research community (publications, conference participation, or open source contributions) is a significant advantage</div></li></ul><div></div><div>
#AI-HIRING</div><div>
#LI-MD2</div></div></div></div></div></div></div></div></div></div><div></div>
The salary range for this position is $170,770.00 - $281,770.00. Actual offer will be based on your qualifications.<div></div><div>
Pay Transparency</div><div>
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat&rsquo;s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.</div><div></div><div>
About Red Hat</div><div><div>
Red Hat</div> is the world&rsquo;s leading provider of enterprise<div> open source</div> software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.</div><div></div><div>
Benefits<br>
<ul><li>Comprehensive medical, dental, and vision coverage</li><li>Flexible Spending Account - healthcare and dependent care</li><li>Health Savings Account - high deductible medical plan</li><li>Retirement 401(k) with employer match</li><li>Paid time off and holidays</li><li>Paid parental leave plans for all new parents</li><li>Leave benefits including disability, paid family medical leave, and paid military leave</li><li>Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!</li></ul></div><div></div><div>
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.</div><div></div><div>
Inclusion at Red Hat<br>
Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.</div><div></div><div>
Equal Opportunity Policy (EEO)<br>
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.</div><div><br>
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.</div><div></div><div>
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email <div>application-assistance@redhat.com</div>. General inquiries, such as those regarding the status of a job application, will not receive a reply.</div></div>

Senior Machine Learning Engineer, Distributed vLLM (llm-d)

Wayfair

<div><div><div>Salary Range: $125,000 - $145,000 per year</div>
<div>
April 2026 Start</div>
<div>
Location: Boston, MA</div><div><b><br>
Additional Details:</b></div>
<ul><li><div>
This is a Boston-based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday).</div></li></ul><div><b><br>
Who We Are:</b></div><div><i><br>
Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with experienced graduates who have 1-3 years of experience.</i></div><div><br>
The Machine Learning team builds the algorithmic systems that drive our business. With expansive workstreams (including Search, Pricing, Personalization &amp; Recommendations, Merchandising, Marketing, Measurement, B2B, Computer Vision, Sales, Services, and Supply Chain), and more than 20 specialized sub-teams, the projects that our teams work on directly impact our customers on a massive scale. You will work with great mentors who will help you all the way from defining the problem and identifying the potential solutions to planning the path to take it to product and potentially publishing your work in reputed AI/ML/DS venues.</div>
<p>
We work closely with stakeholders across the business to build scalable ML solutions and algorithmic platforms that drive incremental revenue, enhance the customer experience, &amp; improve customer loyalty. The projects that our teams work on are driven from the ground up &ndash; we look for entrepreneurial individuals who want to take ownership over their own agenda and thrive in a collaborative team environment. Take for example (1) Developing novel machine learning models in search &amp; recommendations so that the best products can be highlighted to our customers to meet their needs, (2) Optimizing profitability and business strategy by accurately forecasting future demand, costs and margin; (3) Estimating the long-term impacts on customer behavior of short-term actions via experimentation, or (4) Creating machine learning solutions to detect product duplicates across the millions of products in our catalog and scaling the solution to handle real-time uploads of new products by partners. Data is at the heart of everything we do and there is very little at Wayfair that our Machine Learning team does not touch. They work closely with various teams across the business to build and scale novel solutions to business problems via machine learning. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large and the algorithms you create will directly impact the customer&rsquo;s experience.</p>
<p><b>
What You&rsquo;ll Do:</b></p>
<ul>
<li><p>Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value</p></li>
<li><div>
Develop and scale state-of-the-art machine learning methods and quantitative models to address core business problems</div></li>
<li><div>
Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site</div></li>
<li><div>
Drive measurable business value collaborating with business teams to change the course of Wayfair</div></li>
<li><div>
Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company</div></li>
<li><div>
Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings</div></li>
<li><div>
Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers</div></li>
<li><div>
Work with a team of friendly and motivated scientists working together to build novel solutions to business problems</div></li>
<li><div>
Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices</div></li>
<li><p>
Drive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshops</p></li></ul><div><b><br>
What You&rsquo;ll Need:</b></div><div><b><br>
Basic Qualifications:</b></div>
<ul>
<li><p>1-3 years of transferable experience in a corporate environment, including internship and co-op experience.</p></li>
<li><div>
Masters degree in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.)</div></li>
<li><div>
Proficient knowledge of structured programming language(s) (e.g. Python)</div></li>
<li><div>
Experience with languages and tools relevant to data science, including Pytorch/TF, github, pyspark, Docker, SQL, GCP</div></li>
<li><div>
Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams.</div></li>
<li><p>
Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research.</p></li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li><p>Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.</p></li>
<li><div>
An affinity for data along with experience leveraging statistics and regression analysis</div></li>
<li><div>
Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value</div></li>
<li><div>
Familiarity with data structures, algorithms, OOP, and programming in a team environment</div></li>
<li><div>
Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills</div></li>
<li><div>
Ability to thrive in a dynamic environment where there can be degrees of ambiguity</div></li>
<li><div>
Ability to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decision</div></li>
<li><div>
Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges.</div></li>
<li><div>
Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems.</div></li>
<li><div>
Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and implementing CI/CD, containerization, and version control best practices.</div></li>
<li><div>
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills.</div></li>
<li><p>
Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data.</p></li>
</ul>
<div><b>Why You&rsquo;ll Love Wayfair:</b></div>
<ul>
<li><p>Time Off:</p></li>
<li><ul>
<li><div>Paid Holidays</div></li>
<li><div>
Paid Time Off (PTO)</div></li>
</ul></li>
<li><div>Health &amp; Wellness:</div></li>
<li><ul>
<li><div>Full Health Benefits (Medical, Dental, Vision, HSA/FSA)</div></li>
<li><div>
Life Insurance</div></li>
<li><div>
Disability Protection (Short Term &amp; Long Term Disability)</div></li>
<li><div>
Global Wellbeing: Gym/Fitness discounts</div></li>
<li><div>
Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)</div></li>
<li><div>
Caregiver Services</div></li>
</ul></li>
<li><div>Financial Growth &amp; Security:</div></li>
<li><ul>
<li><div>401K Matching (Employee Matching Program)</div></li>
<li><div>
Tuition Reimbursement</div></li>
<li><div>
Financial Health Education (Knowledge of Financial Education - KOFE)</div></li>
<li><div>
Tax Advantaged Accounts</div></li>
</ul></li>
<li><div>Family Support:</div></li>
<li><ul>
<li><div>Family Planning Support</div></li>
<li><div>
Parental Leave</div></li>
<li><div>
Global Surrogacy &amp; Adoption Policy</div></li>
</ul></li>
<li><div>Professional Development &amp; Recognition:</div></li>
<li><ul>
<li><div>Rewards &amp; Recognition</div></li>
<li><div>
Global Employee Anniversary Awards</div></li>
<li><div>
Paid Volunteer Work</div></li>
</ul></li>
<li><div>Unique Perks:</div></li>
<li><ul>
<li><div>Employee Discount</div></li>
<li><div>
U.S. Bluebikes Membership</div></li>
<li><div>
Global Pod Outings</div></li>
</ul></li>
<li><div>Work/Life Balance:</div></li>
<li><ul><li><div>
Emphasizing a supportive &amp; flexible work environment that encourages a balance between personal and professional commitments</div></li></ul></li></ul><div><b><br>
Purpose &amp; Inclusion at Wayfair:</b><br>
At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.</div><br>
<b>
Social Impact &amp; Responsibility:</b><br>
At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.</div><div>
<p><b>
Assistance for Individuals with Disabilities</b><br>
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.<br>
<br>
<b>Need Technical Assistance?</b><br>
For more information about applying for a career at wayfair, visit our FAQ page here.<br>
<br>
<b>About Wayfair Inc.</b><br>
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.</p>
<p>
No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.</p>
<p>
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</p></div></div>

Machine Learning Scientist I - Early Careers

Canterr, Inc.

<div>
 <p>
  Position: Senior Data Scientist
 </p>
 <p>
  Location: Boston, MA
 </p>
 <p>
  Job Type: Full Time
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
  Use data science and machine learning principles to develop effective predictive models
 </p>
 <p>
  Write software to prepare, clean, and sample data for use in developing predictive models
 </p>
 <p>
  Use cloud resources (e.g., Amazon Web Services) to prepare and process data
 </p>
 <p>
  Query and extract data from databases (Snowflake)
 </p>
 <p>
  Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
 </p>
 <p>
  Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
 </p>
 <p>
  Solve challenging, uncharted problems
 </p>
 <p>
  Work in an environment that thrives on teamwork and continuous learning opportunities
 </p>
 <p>
  <br/>
 </p>
 <p>
  Qualifications:
 </p>
 <p>
  Bachelor&rsquo;s degree required; degree in applied math, computer science, natural sciences or engineering preferred
 </p>
 <p>
  M.S. or Ph.D. in a related field highly desired
 </p>
 <p>
  5+ years of experience with machine learning, statistical modeling, and optimization techniques
 </p>
 <p>
  Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
 </p>
 <p>
  Proficient in linear algebra and statistics
 </p>
 <p>
  Familiar with scientific software principals, e.g. versioning systems, reproducibility
 </p>
 <p>
  Experience in the manufacturing industry is desired
 </p>
 <p>
  <br/>
 </p>
 <p>
  If interested share your updated resume to karun.mabbu@canterr.in
 </p>
</div>


Senior Data Scientist

YO IT Consulting

<div>
 <strong>
  Role Overview
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 Leading AI lab to engage independent
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  Data Science Experts
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 for diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation.
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  Key Responsibilities
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   Analyze large datasets to extract insights that inform model design and refinement.
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   Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
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   Conduct performance assessments and data quality reviews on AI model outputs.
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   Build reusable tools for data processing, visualization, and reporting.
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   Partner with research teams to test hypotheses and scale experimental workflows.
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  Ideal Qualifications
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   3+ years of experience in data science, machine learning, or a related analytical field.
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   Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
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   Familiarity with large-scale data environments and version-controlled workflows.
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   Strong command of statistical analysis, experimental design, and model validation.
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   Clear written communication and comfort collaborating across technical teams.
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  More About The Opportunity
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   Expected commitment: 10+ hours/week.
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   Exposure to high-impact AI research and applied experimentation.
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 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
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  Contract and Payment Terms
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   You will be engaged as an independent contractor.
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   This is a fully remote role that can be completed on your own schedule.
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   Projects can be extended, shortened, or concluded early depending on needs and performance.
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Data Scientist - Remote

Commonwealth of Massachusetts

<div></div><div><div><p><b>Position Summary</b></p><p></p><p>
We are seeking a highly motivated Geospatial AI Engineering Intern with a passion for GIS and artificial intelligence, cloud computing, and spatial data-driven development. You will work alongside our MassDOT&rsquo;s Planning division&rsquo;s GIS Data Engineering team to both develop and improve GIS data and build AI/ML applications and data pipelines using AWS services.</p><p>
This is an excellent opportunity to gain cross-functional real-world experience in the intersection of GIS and ML/AI.</p><p><b>
Duties and Responsibilities</b></p><p><br>
GIS Data Engineering Responsibilities</p><ul><li><p>
Assist in the design, maintenance, update, and transformation of GIS Data on enterprise databases.</p></li><li><p>
Assist in the publishing of enterprise GIS web services.</p></li><li><p>
Participate in GIS team reviews, sprint planning, and daily stand-up meetings with cross-functional teams.</p></li><li><p>
Perform GIS related technical support for agency staff.</p></li><li><p>
Research emerging GEOAI technology and document how it might be useful to the agency.</p></li></ul><p><br>
AI &amp; Machine Learning Responsibilities</p><ul><li>
Develop and fine-tune computer vision models and other AI technology using models like YOLO, or RT-DETR for object detection and/or SAM2 or Mask2Former for image segmentation.</li><li>
Assist in the design and deployment of AI/ML-powered applications and intelligent automation workflows.</li><li>
Participate in code reviews, sprint planning, and daily stand-up meetings with cross-functional teams.</li><li>
Research emerging AI/ML techniques and support experimentation and documentation of findings.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Familiarity with ESRI suite software (ArcGIS, Enterprise, Experience Builder).</li><li>
Strong intellectual curiosity and capacity for professional growth.</li><li>
Perform with a strong sense of urgency.</li><li>
Attention to detail with the ability to manage multiple priorities.</li><li>
High level of professionalism and focus on quality.</li><li>
Familiarity with Python, SQL etc.</li><li>
Understanding of AWS cloud technologies.</li><li>
Ability to communicate effectively and build consensus with diverse project stakeholders.</li><li>
Exposure to Agile development practices is a plus.</li><li>
Proficient with Microsoft Office with strong Word and Excel skills.</li><li>
Excellent written, verbal, and analytical skills.</li></ul><p><b>
About MassDOT</b></p><p>
The 4,000+ employees of Massachusetts Department of Transportation (MassDOT) takes great pride in connecting the Commonwealth&rsquo;s residents and communities. MassDOT is responsible for developing, implementing, and coordinating transportation policies and projects for the Commonwealth of Massachusetts and to efficiently plan, design, construct, and maintain a safe statewide transportation system which effectively meets the transportation needs of the Commonwealth. Information about MassDOT&rsquo;s culture and career opportunities can be found at mass.gov/massdot-careers.</p><p>
MassDOT&rsquo;s divisions include: Highway, Registry of Motor Vehicles, Aeronautics, and Rail &amp; Transit. Headquarters (Planning &amp; Enterprise Services) provides business and administrative support and policy leadership for each of the four (4) divisions.</p><div><br>
</div></div><div><b>
Qualifications</b><div></div><p><b><br>
Minimum Entrance Requirements</b><br>
This requisition will remain open until filled; however, first consideration will be given to those applicants that apply within the first 14 days.</p><p>
Current MassDOT employees should use their internal MassCareers account to apply.</p><p>
All job applications must be submitted online through MassCareers to be considered.</p><p>
Please provide a complete, accurate and current resume / application for MassDOT to review in order to determine if your submitted materials meet the minimum entrance requirements for the position.</p><ul><li>
For questions regarding the job posting, please email the MassDOT Talent Acquisition Team at talentacquisition@dot.state.ma.us.</li><li>
For general questions regarding MassDOT, call the Human Resources Service Center at 857-368-4722.</li><li>
For a disability‐related reasonable accommodation or alternative application method, call ADA Coordinator, Lucy Bayard, at 857-274-1935.</li></ul><p><b>
An Equal Opportunity / Affirmative Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply.</b></p><p><b>
The Commonwealth is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Research suggests that qualified women, Black, Indigenous, and Persons of Color (BIPOC) may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage individuals who believe they have the skills necessary to thrive to apply for this role.</b></p><div><br>
</div></div><div><b>
Official Title</b><b>:</b> Contracted Student Interns</div><div><b>
Primary Location</b><b>:</b> United States-Massachusetts-10 Park Plaza</div><div><b>
Job</b><b>:</b> Planning</div><div><b>
Agency</b><b>:</b> Massachusetts Department of Transportation</div><div><b>
Schedule</b><b>:</b> Full-time</div><div><b>
Shift</b><b>:</b> Day</div><div><b>
Job Posting</b><b>:</b> Mar 3, 2026, 9:56:48 AM</div><div><b>
Number of Openings</b><b>:</b> 2</div><div><b>
Salary</b><b>:</b> 20.00 - 25.00 Hourly</div><div><b>
If you have Diversity, Affirmative Action or Equal Employment Opportunity questions or need a Reasonable Accommodation, please contact Diversity Officer / ADA Coordinator</b><b>:</b> Derrick Mann - 8573688541</div><div><b>
Bargaining Unit</b><b>:</b> Non</div><div><b>
Confidential</b><b>:</b> No</div><div><b>
Potentially Eligible for a Hybrid Work Schedule</b><b>:</b> Yes</div></div>

Geospatial AI Data Engineer Co-op Fall 2026

Realign

<div>Boston, Massachusetts 02108 Posted March 2nd, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role - Agentic AI Engineer</b></div><div><b>
Location - Boston, MA (ONSITE)</b></div><div><b>
Experience &ndash; 5+</b></div><div><b>
Type - Full Time</b></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><ul><p>
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI</p><p>
Proficiency in Python and modern AI/ML frameworks, AWS</p><p>
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime</p><p>
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)</p></ul><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><ul><p>
Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.</p></ul><div></div><div><b><br>
Key Responsibilities</b></div><ul><p>
Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment</p><p>
Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime</p><p>
Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs</p><p>
Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda</p><p>
Instrument agents with CloudWatch metrics, spans, and traces; enable audits</p><p>
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions</p><p>
Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact</p></ul><div></div><div><b><br>
Required Skills &amp; Experience</b></div><ul><p>
Strong problem-solving and strategic thinking abilities</p><p>
Strong collaboration skills in research-driven environments</p><p>
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime</p><p>
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)</p><p>
Proficiency in Python and modern AI/ML frameworks</p><p>
Proficiency in vector databases and embedding models for retrieval tasks</p><p>
Experience with Data Connectors and API gateways that support seamless communication between systems</p><p>
Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets</p><p>
Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation</p><p>
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI</p><p>
Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms</p></ul><br>
<p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Agentic AI Engineer-6

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