What is the salary for ML Engineer — Health AI at Google DeepMind?

Listed range: $160k – $230k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the ML Engineer — Health AI role based?

Boston, MA, Boston (Massachusetts). Work mode: Hybrid.

How do I apply to Google DeepMind?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0040. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Google DeepMind hiring other AI roles?

Google DeepMind (Research & applied AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

ML Engineer — Health AI

Google DeepMind· Boston, MA· Ref. EXP-2026-0040 4.7 (1,200 reviews)

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Salary: $160k – $230k / year
Type: Full-time
Location: Boston, MA · Boston (Massachusetts) · Hybrid
Valid through: 10/31/2026

Additional details

Posted: Posted 4 days ago
Applications: 15; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Massachusetts
Team: Google DeepMind — AI team
Company size: 5000+
Founded: 2010

Job description

Google DeepMind is hiring a ML Engineer — Health AI (Full-time) hybrid. This machine learning engineer role is part of the AI hiring market in Boston (Massachusetts). Build clinically validated ML systems with strict governance requirements. Listed compensation: $160k – $230k / year. Stack: Healthcare, Python, ML, Privacy.

Machine Learning Engineer profiles are in high demand in Boston: Boston and Cambridge anchor research-heavy AI hiring: biotech ML, NLP, robotics, and spinouts from MIT and Harvard.…

The team

Google DeepMind — AI team

Responsibilities

Ship production AI features with measurable quality and latency targets
Partner with product and design on roadmap and customer feedback
Improve observability, evals, and safe rollout practices

Requirements

Strong Python or TypeScript fundamentals and 3+ years relevant experience
Hands-on LLM, ML, or data platform work in production
Clear written communication and async collaboration

Tech stack

HealthcarePythonMLPrivacy

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen (30 min)
2Technical interview (60 min)
3Team fit
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

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FAQ — ML Engineer — Health AI

What is the salary for ML Engineer — Health AI at Google DeepMind?: Listed range: $160k – $230k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the ML Engineer — Health AI role based?: Boston, MA, Boston (Massachusetts). Work mode: Hybrid.
How do I apply to Google DeepMind?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0040. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.
Is Google DeepMind hiring other AI roles?: Google DeepMind (Research & applied AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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