Top 393 Deep learning engineer Jobs in Boston, Ma

VP of AI and Engineering
Health Data Analytics Institute —Dedham, MA
- $190,432 - $230,525 a year
- Full-time
- Hybrid work
- Computer Science
- HIPAA
- Office
- Health savings account
- Health insurance
Quick Apply
Senior AI Engineer - Customer Agent
Klaviyo —Boston, MA
- $148,000 - $222,000 a year
- Call employer
- 5 years
- AWS
- Travel
Agile Release Train Engineer (RTE)
General Dynamics Mission Systems, Inc —Dedham, MA
- $130,371 - $144,630 a year
- Full-time
- 3 years
- Master's degree
- Continuous improvement
- Paid parental leave
- Health insurance
Senior AI Agent Engineer
GE Vernova —Cambridge, MA
- $113,200 - $188,800 a year
- Full-time
- 18 years or older
- Computer science
- Computer Science
- Paid parental leave
- Paid holidays
Solutions Engineer/Technical Lead, Software (Guidewire Policy Center)
Liberty Mutual —Boston, MA
- $137,000 - $257,000 a year
- Full-time
- Azure
- 5 years
- System design
Principal Quant Developer (MLOps)
Fidelity Investments —Boston, MA
- $107,000 - $216,000 a year
- Full-time
- Computer Science
- System design
- Office
- Loan repayment program
- Tuition reimbursement
Senior AI Engineer - Customer Agent
Klaviyo —Boston, MA
- $148,000 - $222,000 a year
- Call employer
- 5 years
- AWS
- Travel
Quick Apply
Manager, Engineering - (Guidewire PolicyCenter Platform)
Liberty Mutual —Boston, MA
- $137,000 - $257,000 a year
- Full-time
- Azure
- 5 years
- Master's degree
AI Infrastructure Engineer
Crowe —Boston, MA
- $94,500 - $212,500 a year
- Full-time
- DevOps
- Bachelor's degree
- Machine learning
Quick Apply
9d
Clinical Data Engineering Lead
Novartis —Cambridge, MA
- $176,400 - $327,600 a year
- Full-time
- Computer Science
- Office
- Java
- Health insurance
- 401(k) matching
Senior Director & Head of Investment Engineering - LMI Technology
Liberty Mutual —Boston, MA
- $204,000 - $366,000 a year
- Full-time
- Computer Science
- AWS
- Senior level
Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC
UnitedHealth Group —Boston, MA
- $145,500 - $249,500 a year
- Full-time
- Hybrid work
- Azure
- Pass drug screening
- System design
Research Engineer, Machine Learning
Basis Research Institute —Cambridge, MA
- $120,000 - $180,000 a year
- Full-time
- Math
- Doctor of Philosophy
- APIs
Staff Machine Learning Engineer
Cohere Health —Boston, MA
- $225,000 - $240,000 a year
- Remote
- Computer Science
- System design
- Master's degree
- Paid parental leave
- Health savings account
Quick Apply
Senior Robot Learning Engineer
Analog Devices —Boston, MA
- $144,000 - $198,000 a year
- Full-time
- 3 years
- Master's degree
- Doctor of Philosophy
- Paid holidays
- Health insurance
Machine Learning Engineer
Harvard University —Boston, MA
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 3 years
- Commuter assistance
- Health insurance
MACHINE LEARNING ENGINEER (DEFENSE)
Airspace Intelligence —Boston, MA
- Full-time
- AWS
- Senior level
Machine Learning Operations Engineer II
S&P Global —Cambridge, MA
- $130,000 - $175,000 a year
- Email
- Mid-level
- Mentoring
- Training & development
- Paid parental leave
- Health insurance
Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group)
WHOOP —Boston, MA
- $150,000 - $215,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
Staff Engineer
Motional —Boston, MA
- $205,000 - $272,000 a year
- Remote
- Computer Science
- Master's degree
- C++
Quick Apply

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VP of AI and Engineering

Health Data Analytics Institute -
Dedham, MA

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Job Details

Full-time
$190,432 - $230,525 a year

Benefits

Health savings account
Health insurance
Dental insurance
401(k)
Flexible spending account
Tuition reimbursement
Paid time off
Vision insurance
401(k) matching
Flexible schedule
Life insurance
Referral program
Retirement plan

Qualifications

AI models
AWS
Business management
Master of Business Administration
Project leadership

Full Job Description

VP, AI and Engineering (local candidates only)

We are looking for a VP, AI and Engineering to join the leadership team at HDAI. You will report to the Chief Product Officer and lead the ML Operations, API Services, Frontend Engineering, and Cloud Engineering teams. These teams build and operate the HealthVision™ platform, which ingests clinical data from our health system partners, runs AI and ML inference, and delivers insights back to clinicians at the point of care.

Our platform runs on AWS, combines predictive ML models with LLM-powered clinical summarization, and serves results directly into EHR workflows. The challenge ahead is threefold: scale reliably as we onboard new health systems, deepen the AI product so clinicians get more value from every interaction, and do both while keeping cloud costs disciplined and maintaining the compliance posture (HIPAA, SOC 2, HITRUST) that our customers depend on. You will set the technical direction for how we tackle these problems and build the team and processes to execute against it.

A successful candidate has led engineering and applied AI teams in a regulated healthcare environment and knows what it takes to ship software that clinicians trust with patient care. You are as comfortable discussing model performance with a data scientist as you are reviewing an architecture decision with a cloud engineer or presenting a roadmap to a health system leader. At HDAI, we nurture a culture of continuous improvement, and one of the best assets of our leaders is a love for learning. We hope that you too share this goal. We are excited to have you as a part of this team!

Responsibilities:

Build, lead, and develop a high-performing engineering organization across multiple disciplines, setting clear goals, establishing operating rhythms, and creating meaningful career paths for the team.
Own the technical vision and architecture of the HealthVision™ platform, making sound long-term bets while delivering on near-term commitments to customers and the business.
Drive platform scalability and reliability as HDAI expands to new health system partners, ensuring that onboarding a new customer does not become a bespoke engineering project every time.
Advance HDAI’s AI and LLM capabilities from their current production state into more powerful, cost-efficient, and clinically impactful tools—working closely with clinical and product leadership to identify the highest-value problems to solve next.
Own cloud infrastructure strategy and cost management across HDAI’s AWS footprint, treating cost discipline as an engineering problem rather than an afterthought.
Ensure that compliance (HIPAA, SOC 2, HITRUST) and data security are embedded in how the team designs and ships software, not bolted on after the fact.
Partner with customer success leadership to support health system partnerships, including representing engineering in clinical and executive conversations with customers.
Establish and evolve the engineering operating model: release management, quality assurance, incident response, on-call, and post-incident learning.
Identify and implement leverage points—whether AI-assisted tooling, process improvements, or smart automation—that allow a lean team to punch above its weight.
Contribute to company strategy as a member of the executive team, bringing a grounded technical perspective to business decisions.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related technical field. An advanced degree (MS, PhD, or MBA) is a plus but not required.
10+ years of progressive engineering experience, with at least 4 years leading multi-team engineering organizations (managing managers, not just ICs).
Meaningful experience with applied AI/ML in production systems. Familiarity with modern LLM application patterns (retrieval-augmented generation, structured extraction, prompt engineering at scale) is strongly preferred.
Deep fluency with cloud-native architectures on AWS. You should be able to evaluate trade-offs in serverless vs. containerized designs, reason about event-driven systems, and have opinions about infrastructure-as-code.
Experience shipping production software in a regulated healthcare environment—you understand what HIPAA compliance means in practice, not just in policy documents. Familiarity with SOC 2, HITRUST, HL7/FHIR, or EHR integration (especially Epic) is a significant plus.
A track record of improving platform economics and performance—whether that’s reducing cloud spend, improving system throughput, or standardizing messy data pipelines—at meaningful scale.
Experience supporting enterprise customer relationships from the engineering side, including technical onboarding, integration planning, and executive-level communication with health system leaders.
Strong software engineering fundamentals. You may not write production code daily, but you have the judgment to set a high bar for quality and the credibility to hold the team to it.
Excellent communication skills—written, verbal, and visual—with the ability to translate between clinical stakeholders, engineers, and business leaders.
You exemplify strong accountability and ensure the quality of your work and your team.

Pay: $190,432.00 - $230,525.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Referral program
Retirement plan
Tuition reimbursement
Vision insurance

Work Location: Hybrid remote in Dedham, MA 02026

Quick Apply

Refine Your Search

deep learning engineer jobs in boston, ma

VP of AI and Engineering

Senior AI Engineer - Customer Agent

Agile Release Train Engineer (RTE)

Senior AI Agent Engineer

Solutions Engineer/Technical Lead, Software (Guidewire Policy Center)

Principal Quant Developer (MLOps)

Senior AI Engineer - Customer Agent

Manager, Engineering - (Guidewire PolicyCenter Platform)

AI Infrastructure Engineer

Clinical Data Engineering Lead

Senior Director & Head of Investment Engineering - LMI Technology

Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC

Research Engineer, Machine Learning

Staff Machine Learning Engineer

Senior Robot Learning Engineer

Machine Learning Engineer

MACHINE LEARNING ENGINEER (DEFENSE)

Machine Learning Operations Engineer II

Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group)

Staff Engineer

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