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clinical research assistant Jobs in Boston

clinical research assistant

generative ai research and evaluation fellow grant funded

Boston Public Health Commission

<div></div><div><div><div><div><div><div><div>Req ID</div>
<div>2026-31665
</div></div><div><div>Dept</div>
<div>Dpt of Innovation &amp; Technology
</div></div><div><div>Position
</div><div>Regular Full-Time
</div></div><div><div>Location
</div><div>ASD-Mgmt Information Systems
</div></div><div><div>Union
</div><div>EXO
</div></div><div><div>Openings</div>
<div>1
</div></div><div><div>Posting End Date</div>
<div>9/9/2026
</div></div><div><div>Contact Email</div>
<div>estelle.tshitengesheriff@boston.gov
</div></div></div></div></div></div><h2 class="jobSectionHeader"><b>Overview</b><b>:
</b></h2><div><div><div><div>The City of Boston is expanding access to Generative AI tools and training for City employees. The Department of Innovation and Technology (DoIT) is seeking a part-time Generative AI Research and Evaluation Fellow to support this initiative by providing research support and assisting with training sessions for City employees.</div><div></div><div><br>
This part-time fellowship is structured like an applied research assistantship. The Fellow will support the design of evaluations, survey-based measurement, recurring adoption reporting, and analytic write-ups used by program leadership. The Fellow will work closely with the Director of Research and Evaluation and other stakeholders to support the rollout and training efforts.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities</b><b>:
</b></h2><div><div><div><ul><li>Support survey design, operations, and data management.</li><li>
Write and maintain SQL queries; clean, validate, document, and join data from multiple sources using R for adoption tracking and evaluation.</li><li>
Produce analytic outputs for internal decision-making, including tables, charts, summary metrics, and appendix-style materials.</li><li>
Support evaluation methodology and internal communications by drafting memos, documentation, and participating in regular check-ins and working sessions.</li><li>
Support training sessions for City employees and assist in developing related training materials.</li><li>
Performs other related duties as required.</li></ul><p><b>
Professional Development and Supervision:</b></p><ul><li>
The Fellow will receive close supervision from the Director of Research and Evaluation, including regular check-ins, feedback on analytic work products, and guidance on research documentation and internal writing.</li><li>
Work closely with staff across multiple City departments, gaining exposure to cross-departmental collaboration and applied policy work.</li><li>
The role provides exposure to applied evaluation work in government, including survey operations, rollout measurement, and communicating results to decision-makers.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Minimum Entrance Qualifications</b><b>:
</b></h2><div><div><div><ul><li>A bachelor's degree in economics, political science, public policy, urban planning, or a related field is preferred.</li><li>
Experience writing SQL for analysis.</li><li>
Experience cleaning and analyzing real-world datasets using R.</li><li>
Familiarity with survey-based data and basic survey operations (<i>SurveyCTO </i>is preferred).</li><li>
Understanding of evaluation or applied research methods, with interest in experimental or quasi-experimental work.</li><li>
Strong writing skills and the ability to communicate clearly with technical and non-technical audiences.</li><li>
Interest in public service and using data to improve City operations and resident outcomes.</li></ul><p><b>
BOSTON RESIDENCY REQUIRED</b></p><div><b>
Terms:</b><br>
Union/Salary Plan/Grade: Non-Union / $25 per hour<br>
Hours per week: 14</div></div></div></div></div>

Generative AI Research and Evaluation Fellow (Grant Funded)

Brigham and Women's Hospital

<div>
 Site: The Brigham and Women's Hospital, Inc.
 <br/>
 <br/>
 Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 In the Nakashima Lab at the Harvey Cushing Neuro-Oncology Laboratories, within the Department of Neurosurgery at Brigham and Women's Hospital, our research is focused on the developmental immunotherapy with tumor-permissive oncolytic viruses and tumor immune mechanisms governing highly immune tolerance and resistance in brain tumors. We use advanced DNA manipulation and animal models in conjunction with the latest molecular and immunological tools in our investigation of brain tumor and immunity. We are looking for an energetic and highly organized research assistant interested in various biological and immunological experiments, including plasmid DNA, RNA, genome extraction, (RT-)PCR, Western blot, immunohistochemistry, flow cytometry, virus, cell culture, and other essential molecular biological experiments.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Description:
 <br/>
 <br/>
 With general supervision by the Principal Investigator, Research Fellow and Lab Manger, the Research Lab Technician will be expected to carry out designated experiments. As this research involves using murine models, the Research Lab Technician may need to assist in animal care and experiments, including transgenic colony maintenance, imaging, and health check (weekly body weight, post-surgery care). Other duties may include writing laboratory SOP, preparing various regulatory protocols such as IACUC and IBC, and data formatting with Excel, R, and other bioinformatic approaches.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in biology, veterinary, neuroscience, immunology, or related field.
  </li>
  <li>
   Basic knowledge and experience with techniques of cell culture, tissue processing, molecular biology, chemistry, small animal handling and colony management skills a plus.
  </li>
  <li>
   Good laboratory practices, well organized in planning and performing lab work, maintaining good lab records and electronic notebooks are necessary.
  </li>
  <li>
   Strong motivation for curiosity-driven research, hypothesis-generation, and constant desire to improve on scientific technologies.
  </li>
  <li>
   Additional experience working in research labs or animal facilities that handle mice experience helpful; Experience with biological and immunological laboratory techniques including DNA cloning into vectors, virus propagation and titration, processing methods and analysis of DNA/RNA/protein from cells, tissues and mice, tissue culture, operations of fluorescent microscopy, flow cytometry, PCR machines, and/or ultra-centrifugation is a plus.
  </li>
  <li>
   Excellent oral and written communication skills. Ability to communicate effectively with a diverse team of researchers.
  </li>
  <li>
   Ability to make at least 1-year commitment to the position to contribute technically to newly funded NIH grant studies. Longer term contribution of more than 1 year is welcomed.
   <br/>
   <br/>
  </li>
 </ul>
 As a part of the research team, your duties and responsibilities would include:
 <br/>
 <br/>
 <ul>
  <li>
   Working with Dr. Nakashima and team to conduct research projects
  </li>
  <li>
   Contributing technically to the existing funded NIH grant studies and collect data for submission of the NIH grant proposal.
  </li>
  <li>
   Assisting with mouse studies, including colony maintenance, health monitoring, and in vivo imaging and post-surgery monitoring
  </li>
  <li>
   Maintaining biological material resources
  </li>
  <li>
   Documenting all research activities using a digital notebook (LabArchives)
  </li>
  <li>
   Making pre-experiment lab preparations (e.g., autoclave, reagent preparation, etc.)
  </li>
  <li>
   Attendance at all lab meetings
  </li>
  <li>
   Maintaining lab equipment
   <br/>
   <br/>
  </li>
 </ul>
 NOTE: This position is grant funded. Due to the nature of experimental protocols, some off-hours work may occasionally be required.
 <br/>
 <br/>
 <strong>
  Additional Job Details (if Applicable)
  <br/>
  <br/>
 </strong>
 <strong>
  Remote Type
  <br/>
  <br/>
 </strong>
 Onsite
 <br/>
 <br/>
 <strong>
  Work Location
  <br/>
  <br/>
 </strong>
 60 Fenwood Road
 <br/>
 <br/>
 <strong>
  Scheduled Weekly Hours
  <br/>
  <br/>
 </strong>
 40
 <br/>
 <br/>
 <strong>
  Employee Type
  <br/>
  <br/>
 </strong>
 Regular
 <br/>
 <br/>
 <strong>
  Work Shift
  <br/>
  <br/>
 </strong>
 Day (United States of America)
 <br/>
 <br/>
 <strong>
  Pay Range
  <br/>
  <br/>
 </strong>
 $20.16 - $29.01/Hourly
 <br/>
 <br/>
 <strong>
  Grade
  <br/>
  <br/>
 </strong>
 5
 <br/>
 <br/>
 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.
 <br/>
 <br/>
 <strong>
  EEO Statement
  <br/>
  <br/>
 </strong>
 2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran&rsquo;s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
 <br/>
 <br/>
 <strong>
  Mass General Brigham Competency Framework
  <br/>
  <br/>
 </strong>
 At Mass General Brigham, our competency framework defines what effective leadership &ldquo;looks like&rdquo; by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
</div>


Research Lab Technician I

The Brattle Group, Inc.

<div><div><p>The Brattle Group, a privately held, global economics consulting firm, is looking for a <b>Senior Data Engineer (Applied AI/ML) </b>to join our<b> Boston, MA </b>office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.</p>
<p>
On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.</p>
<p>
Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team&rsquo;s analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.</p>
<p>
The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle&rsquo;s existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows.</p><br>
<p></p>
<p><b>
Some of the day-to-day responsibilities of this role include:</b></p>
<ul>
<li>Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context</li>
<li>Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths</li>
<li>Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients</li>
<li>Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted</li>
<li>Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team&rsquo;s capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows</li>
<li>Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate</li>
<li>Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability</li>
<li>Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation</li>
<li>Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches</li>
<li>Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies</li></ul><br>
<p></p>
<p><b>
THE CANDIDATE</b></p>
<ul>
<li>Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus</li>
<li>4&ndash;7 years of professional experience in data engineering, analytics, or related technical roles</li>
<li>Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs</li>
<li>Demonstrated ability to research and pilot new technologies or methodologies</li>
<li>Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling</li>
<li>Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints</li>
<li>Experience with feature design, model evaluation, and interpretation using real, messy datasets</li>
<li>Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments</li>
<li>Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying</li>
<li>Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows</li>
<li>Hands-on experience with version control (Git) and collaborative development practices</li>
<li>Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data</li>
<li>Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)</li>
<li>Ability to translate complex technical concepts into actionable solutions</li></ul><br>
<p></p>
<p><i>
Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually. Actual salary will depend on a variety of factors, including experience and training.</i></p><br>
<p></p>
<p><i>
This position is not eligible for immigration sponsorship.</i></p><br>
<p></p>
<p><b>
EQUAL OPPORTUNITY</b></p>
<p>
The Brattle Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law.</p><br>
<p></p>
<p>
We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.</p></div><p></p><div><p><b><br>
THE EMPLOYER</b></p>
<p>
The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists. Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com.</p></div></div><p></p>

Senior Data Engineer (Applied ML / Analytics) New

Energize Group

<div>
 <p>
  <strong>
   Senior Machine Learning Engineer, Perception R&amp;D
  </strong>
 </p>
 <p>
  📍 Boston, MA (Hybrid)
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our client, a fast-growing and well-funded robotics company, is looking for a
  <strong>
   Senior Machine Learning Engineer (Perception R&amp;D)
  </strong>
  to help push the boundaries of robotic perception in real-world warehouse environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to work at the intersection of
  <strong>
   robotics, computer vision, and foundation models
  </strong>
  , solving some of the hardest problems in automation. You will be focused on enabling robots to understand and manipulate complex, unpredictable environments by leveraging
  <strong>
   Vision-Language Models, Generative AI, and large-scale foundation models
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  The team is tackling the &ldquo;long tail&rdquo; of real-world perception problems such as
  <strong>
   novel packaging, damaged goods, occlusions, and challenging lighting conditions
  </strong>
  , and translating cutting-edge research into
  <strong>
   robust systems deployed on real robots operating at scale
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  What You&rsquo;ll Be Doing
 </p>
 <p>
  &bull; Develop ML strategies to detect and handle rare or unexpected events in robotic perception pipelines
 </p>
 <p>
  &bull; Adapt and fine-tune
  <strong>
   foundation models and vision-language models
  </strong>
  for robotic manipulation tasks
 </p>
 <p>
  &bull; Build systems capable of
  <strong>
   zero-shot or few-shot generalization
  </strong>
  in real-world warehouse environments
 </p>
 <p>
  &bull; Distill large, compute-heavy models into
  <strong>
   efficient, low-latency networks for edge deployment
  </strong>
  (NVIDIA Orin)
 </p>
 <p>
  &bull; Translate academic breakthroughs in
  <strong>
   computer vision and machine learning
  </strong>
  into production-ready robotics systems
 </p>
 <p>
  &bull; Mentor junior engineers and contribute to technical direction within the perception and ML team
 </p>
 <p>
  <br/>
 </p>
 <p>
  What We&rsquo;re Looking For
 </p>
 <p>
  &bull; 5+ years of experience in
  <strong>
   computer vision and deep learning
  </strong>
  , ideally in applied research or advanced R&amp;D
 </p>
 <p>
  &bull; Strong experience with modern ML architectures including
  <strong>
   Transformers (ViT), self-supervised learning, VLMs, or zero-shot detection
  </strong>
 </p>
 <p>
  &bull; Expert-level
  <strong>
   Python and PyTorch
  </strong>
  skills
 </p>
 <p>
  &bull; Experience tackling difficult perception challenges such as
  <strong>
   occlusions, reflective surfaces, and variable lighting
  </strong>
 </p>
 <p>
  &bull; Experience with
  <strong>
   model distillation, quantization, or deploying ML models to edge hardware
  </strong>
 </p>
 <p>
  &bull; Ability to communicate complex AI research concepts to engineering and product stakeholders
 </p>
 <p>
  &bull; Familiarity with
  <strong>
   Docker, AWS/GCP, experiment tracking tools, and modern ML infrastructure
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Why This Role?
 </p>
 <p>
  You&rsquo;ll be joining a company building
  <strong>
   real-world robotic systems deployed in logistics environments
  </strong>
  , where the impact of your work will be immediate and tangible. The team is focused on shipping production systems that combine
  <strong>
   AI, robotics, and machine learning
  </strong>
  to automate physically demanding warehouse tasks.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Compensation &amp; Benefits
 </p>
 <p>
  &bull; Salary range: Up to
  <strong>
   $200k
  </strong>
 </p>
 <p>
  &bull; Equity in a high-growth robotics company
 </p>
 <p>
  &bull; Health, dental, and vision insurance
 </p>
 <p>
  &bull; 401k with employer contribution
 </p>
 <p>
  &bull; Unlimited vacation
 </p>
 <p>
  &bull; Opportunity to work on
  <strong>
   cutting-edge robotics systems deployed in the real world
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  📩 If you're interested in applying
  <strong>
   or would like to learn more
  </strong>
  , feel free to message me directly.
 </p>
</div>


Machine Learning Engineer

Realign

<div>Boston, Massachusetts 02108 Posted March 12th, 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-7

Pragmatike

<div>
 <strong>
  Location:
 </strong>
 Cambridge, MA (Eastern Time / UTC -4)
 <strong>
  Relocation package available
  <br/>
  <br/>
 </strong>
 <strong>
  Start date:
 </strong>
 ASAP
 <br/>
 <br/>
 <strong>
  Languages:
 </strong>
 English (required)
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Pragmatike is hiring on behalf of a
 <strong>
  fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital
 </strong>
 , founded by MIT CSAIL researchers.
 <br/>
 <br/>
 We are seeking a
 <strong>
  Staff / Principal ML Ops Engineer
 </strong>
 to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization.
 <br/>
 <br/>
 You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are
 <strong>
  robust, efficient, automated, and production-grade
 </strong>
 . This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution.
 <br/>
 <br/>
 <strong>
  What Youll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring.
  </li>
  <li>
   Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters.
  </li>
  <li>
   Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows).
  </li>
  <li>
   Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost).
  </li>
  <li>
   Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models.
  </li>
  <li>
   Collaborate with researchers to productionize models and accelerate training/inference pipelines.
  </li>
  <li>
   Establish ML Ops best practices, internal standards, and cross-team tooling.
  </li>
  <li>
   Mentor engineers and influence architectural direction across the entire AI platform.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Were Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected).
  </li>
  <li>
   Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure).
  </li>
  <li>
   Proficiency with Python and familiarity with TypeScript or Go for platform integration.
  </li>
  <li>
   Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding)
  </li>
  <li>
   Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling).
  </li>
  <li>
   Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries.
  </li>
  <li>
   Ability to lead technical strategy, collaborate cross-functionally, and operate in fast-paced environments
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  </li>
 </ul>
 <strong>
  Bonus Points
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience deploying and operating LLMs and generative models in production at enterprise scale.
  </li>
  <li>
   Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code.
  </li>
  <li>
   Experience optimizing GPU clusters, scheduling, and distributed training frameworks.
  </li>
  <li>
   Prior startup experience or comfort operating with ambiguity and high ownership.
  </li>
  <li>
   Experience working with data engineering, feature pipelines, or real-time ML systems.
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  </li>
 </ul>
 <strong>
  Why This Role Will Pivot Your Career
  <br/>
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 </strong>
 <ul>
  <li>
   Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
  </li>
  <li>
   Customer impact: Deploy AI solutions powering Fortune 500 clients.
  </li>
  <li>
   Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&amp;B CoreWeave).
  </li>
  <li>
   Funding &amp; growth: Oversubscribed seed round, next funding in 2026.
  </li>
  <li>
   Career growth &amp; influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
  </li>
  <li>
   Culture &amp; autonomy: Own critical systems while collaborating with world-class engineers.
  </li>
  <li>
   Aspirational impact: Solve AI performance challenges few engineers ever face.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary &amp; equity options
  </li>
  <li>
   Sign-on bonus
  </li>
  <li>
   Health, Dental, and Vision
  </li>
  <li>
   401k
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   Pragmatike
  </em>
 </strong>
 <em>
  is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
 </em>
</div>


Principal AI/ML Engineer

Plymouth Rock Assurance

<div><p>We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases.</p>
<p>
</p><p>The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development.
</p><p>You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.</p>
<p>
</p><p><b>Key Responsibilities:</b></p>
<ul>
<li>Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity.</li>
<li>Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows.</li>
<li>Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases.</li>
<li>Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing.</li>
<li>Integrate AI/ML solutions with enterprise systems, APIs, and data platforms.</li>
<li>Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance.</li>
<li>Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration.</li>
<li>Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems.</li>
<li>Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely.</li>
<li>Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures.<b>
</b></li></ul><p><b>Required Qualifications:</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field.</li>
<li>2+ years of software engineering experience, including work with machine learning (ML) or AI systems.</li>
<li>Hands-on experience building LLM-powered applications in production environments.</li>
<li>Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn.</li>
<li>Experience with LLM ecosystems such as:</li>
<li><ul><li>OpenAI / Anthropic / Google, Open-source LLMs</li>
<li>Hugging Face</li>
<li>LangChain, LlamaIndex, or similar orchestration frameworks</li>
</ul></li><li>Experience building RAG pipelines and working with vector databases.</li>
<li>Understanding of prompt engineering, embeddings, and model evaluation.</li>
<li>Experience building APIs, MCPs, and scalable backend services.</li>
<li>Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar.</li>
<li>Ability to collaborate with cross-functional teams.</li>
<li>Passion for technology and AI.</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Experience building AI agents, agentic platforms, or autonomous workflows.</li>
<li>Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.).</li>
<li>Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT).</li>
<li>Experience with cloud-based AI infrastructure (AWS, Azure, or GCP).</li>
<li>Familiarity with Java, JS, and Java applications and environments.</li>
<li>Experience with MLOps / LLMOps tools and evaluation pipelines.</li>
<li>Experience implementing AI governance, observability, and guardrails.</li>
</ul>
<p><b>Salary Range:
</b></p><p>The pay range for this position is $110,000 to $160,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
</p><p></p><p><b>Perks and Benefits:</b></p>
<ul>
<li>4 weeks accrued paid time off + 9 paid national holidays per year</li>
<li>Free onsite gym at our Boston Location</li>
<li>Tuition Reimbursement</li>
<li>Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)</li>
<li>Robust health and wellness program and fitness reimbursements</li>
<li>Auto and home insurance discounts</li>
<li>Matching gift opportunities</li>
<li>Annual 401(k) Employer Contribution (up to 7.5% of your base salary)</li>
<li>Various Paid Family leave options including Paid Parental Leave</li>
<li>Resources to promote Professional Development (LinkedIn Learning and licensure assistance)</li>
<li>Convenient location directly across from South Station and Pre-Tax Commuter Benefits</li>
</ul>
<p>About the Company</p>
<p><i>
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;</i></p>
<p>
#LI-DF1</p></div><p></p>

Artificial Intelligence Engineer

Explore 874+ Generative ai research and evaluation fellow grant funded in Boston this March. Find roles across top companies and apply now to boost your career.