Top 257 Senior ai/ml engineer Jobs in Cambridge, Ma

AI / ML Engineer
Third Way Health, Inc. —Cambridge, MA
- Full-time
- Hybrid work
- 5 years
- HIPAA
- Mentoring
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Senior Ai Engineer
Health Data Analytics Institute —Dedham, MA
- $160,367 - $185,457 a year
- Full-time
- Hybrid work
- 7 years
- AWS
- APIs
- Health savings account
- Health insurance
Quick Apply
2h
Senior Sales Account Executive - Remote
PeopleFind,Inc. —Boston, MA
- Remote
- Salesforce
- 8 years
- AWS
Quick Apply
Senior Software Engineer - Wilmington, Ma - ML/Ai/Robotics
Motion Recruitment —Wilmington, MA
- Full-time
- Hybrid work
- Computer Science
- US work authorization
- Linux
- Paid parental leave
- Health insurance
6d
Senior Principal AI Engineer
Vertex Pharmaceuticals —Boston, MA
- $188,000 - $282,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Continuous improvement
- Loan repayment program
- Health insurance
14d
Senior Software Engineer / Robotics & AI Integration / Hybrid Wilmington, MA
Motion Recruitment —Wilmington, MA
- Full-time
- Software troubleshooting
- US work authorization
- Linux
- Health insurance
- Dental insurance
6d
Senior Software Engineer / Robotics / Physical AI Integration
Motion Recruitment —Wilmington, MA
- Full-time
- 5 years
- US work authorization
- Linux
- Health insurance
- Dental insurance
6d
Senior Software Engineer / Physical AI / Robotics
Motion Recruitment —Wilmington, MA
- Full-time
- Hybrid work
- System design
- Machine learning
- US work authorization
- Health insurance
- Dental insurance
6d
Senior Hardware Integration, Analysis & Test Engineer — Receiver/Exciter
Raytheon —Tewksbury, MA
- $86,800 - $165,200 a year
- Full-time
- Heavy lifting
- 3 years
- Analysis skills
- Paid holidays
- Disability insurance
8d
Senior Data Scientist
VA Boston Healthcare System —Boston, MA
- $120,548 - $156,715 a year
- Full-time
- Background check
- Computer science
- Computer Science
- Health savings account
- Health insurance
Quick Apply
2d
Global AI/ML Engineer Senior Manager
Boston Consulting Group —Boston, MA
- $173,000 - $211,000 a year
- Full-time
- Azure
- 6 years
- Computer Science
- Profit sharing
- Paid parental leave
Senior Sales Account Executive - Remote
PeopleFind,Inc. —Massachusetts
- Remote
- Salesforce
- 8 years
- AWS
Quick Apply
Senior Director, Data Engineering
Global Partners —Newton, MA
- $182,300 - $291,500 a year
- Full-time
- Computer Science
- System design
- 11+ years
- Health insurance
- Dental insurance
Quick Apply
Senior AI/ML Engineer, Physical AI Solutions
Teradyne —North Reading, MA
- $219,800 - $351,700 a year
- Travel
- In-person
- Senior level
- Paid holidays
- Disability insurance
10d
Senior AI Engineer
Topline Pro —Boston, MA
- Full-time
- Hybrid work
- 5 years
- Office
- APIs
- Health insurance
- Dental insurance
Senior AI/ML Engineer
Pedestal Health —Boston, MA
- Hybrid work
- Computer Science
- 5 years
- System design
- Paid parental leave
- Paid holidays
Senior Applied AI Engineer
Hologic —Marlborough, MA
- 5 years
- Office
- Bachelor's degree
Senior Applied AI/ML Engineer
TetraScience —Cambridge, MA
- $150,000 - $240,000 a year
- Full-time
- Computer science
- Computer Science
- Office
- Disability insurance
- 401(k)
Quick Apply
Kearney Activate AI Engineer
Kearney —Boston, MA
- $85,000 - $160,000 a year
- Full-time
- Azure
- 6 years
- SQL
- Profit sharing
- Wellness program
Senior Principal AI Engineer
GE Vernova —Cambridge, MA
- $152,400 - $254,000 a year
- Full-time
- Computer science
- Computer Science
- Pass drug screening
- Paid parental leave
- Paid holidays

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senior ai/ml engineer jobs near cambridge, ma

AI / ML Engineer

Third Way Health, Inc.
Cambridge, MA

Quick Apply

Job Details

Full-time

Qualifications

AI models
GPU programming
Containerization systems
Performance monitoring
Software engineering
Software design
Continuous deployment
Workflow management (operations management method)
Software deployment
AI platforms (beyond public GPTs)
Computational framework
Database design
Machine learning cloud services
Machine intelligence
Model deployment
Developing large-scale AI models
Cloud Native Design
APIs
Production monitoring
Monitoring system implementation
System deployment
DevOps automation
Machine learning libraries
Machine learning frameworks
MLOps
Cross-functional communication

Full Job Description

Who we are

Third Way Health helps medical practices across the United States improve the patient experience while reducing the administrative burden on practice owners. We enable practices to enhance the experience of their patients by providing them with a leading service automation platform and a world class team of service representatives. What unites us is our passion to support physicians and provide better access for patients from all backgrounds.

About the position

We're seeking a Senior ML Engineer to build next-generation AI systems that help millions of patients access care faster. You'll architect production ML infrastructure handling thousands of hours of service interactions daily in a highly regulated healthcare environment. This is a high-impact individual contributor role—ideal for someone eager to “own the outcome” and push the boundaries of “high tech + high touch” care experiences.

Responsibilities

Architect and build large-scale AI systems that integrate high-volume voice, text, and contextual event streams with extensive knowledge bases to deliver real-time recommendations, automations, and decision support.

Design and operate workflow-oriented AI systems, including DAG-based execution graphs, stateful pipelines, and agent-driven workflows with clear observability, reproducibility, and fault tolerance.
Build agent architectures spanning agent-to-agent coordination, feedback loops, tool-calling systems, and long-running autonomous workflows, balancing control, safety, and adaptability.
Design and implement data models, feature pipelines, and APIs to support model training, low-latency inference, and continuous learning.
Develop predictive, real-time analytics systems that combine streaming data, ML inference, and event-driven triggers to surface insights and automate actions at scale.
Implement and maintain end-to-end ML platforms, including model training, evaluation, deployment, online inference, monitoring, and drift detection.
Partner closely with product managers, data scientists, and QA engineers to translate experimental models into reliable, production-grade AI services.
Identify, diagnose, and resolve performance and scaling bottlenecks across data pipelines, inference services, and orchestration layers as production workloads grow.

Required skills and qualifications

5+ years of software engineering experience, with 3+ years focused on machine learning or applied AI systems.
Strong proficiency in Python, particularly for ML pipelines, frameworks, inference services, and APIs (e.g., scikit-learn, Sanic API, PyTorch Lightning, Pydantic AI, LangGraph, Bedrock, OpenAI / Anthropic SDKs).
Experience designing ML-centric data architectures, including feature stores, vector databases, and time-series systems for monitoring and analytics.
Hands-on experience with cloud-native inference: containerized model serving, autoscaling, GPU/accelerator workloads, and low-latency production deployments.
Experience operating end-to-end MLOps platforms (e.g., MLflow, Kubeflow), including CI/CD for models, experiment tracking, and rollout strategies.
Solid understanding of workflow orchestration (graph-based execution, retries, state management) in ML and agent-based systems.
Excellent communication skills, with the ability to collaborate effectively across engineering, product, and non-technical stakeholders.
Strong interest in healthcare innovation and building AI systems that meaningfully improve health outcomes.
Working knowledge of AI safety, bias detection, and responsible AI practices.

Desired skills and qualifications

Experience building AI systems in healthcare or regulated environments, with familiarity with standards such as HIPAA, GDPR, or FDA guidance.
Proven experience leading complex technical initiatives and mentoring junior engineers.
Strong applied knowledge of event-driven architectures and streaming systems (Kafka, Pub/Sub, Kinesis, RabbitMQ).
Hands-on experience designing and operating vector search, RAG pipelines, and hybrid retrieval systems.
Experience with agent frameworks, multi-agent coordination patterns, and long-running agent loops in production environments.
Familiarity with real-time analytics stacks combining streaming data, ML inference, and operational dashboards.

Quick Apply

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senior ai/ml engineer jobs in cambridge, ma

AI / ML Engineer

Senior Ai Engineer

Senior Sales Account Executive - Remote

Senior Software Engineer - Wilmington, Ma - ML/Ai/Robotics

Senior Principal AI Engineer

Senior Software Engineer / Robotics & AI Integration / Hybrid Wilmington, MA

Senior Software Engineer / Robotics / Physical AI Integration

Senior Software Engineer / Physical AI / Robotics

Senior Hardware Integration, Analysis & Test Engineer — Receiver/Exciter

Senior Data Scientist

Global AI/ML Engineer Senior Manager

Senior Sales Account Executive - Remote

Senior Director, Data Engineering

Senior AI/ML Engineer, Physical AI Solutions

Senior AI Engineer

Senior AI/ML Engineer

Senior Applied AI Engineer

Senior Applied AI/ML Engineer

Kearney Activate AI Engineer

Senior Principal AI Engineer

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