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ML Engineering Manager

ML Engineering Manager

ML Engineering Managers at high-growth companies earn $91K–$150K. Median: $91K. Based on 371 public job postings (2025–2026).

💰 $91K–$150K salary range

Median: $91K  ·  Based on 371 public job postings  ·  Updated July 1, 2026


Individuals in this critical management position at high-growth companies are responsible for scaling foundational machine learning models from research prototypes to production-grade, high-performance systems. Based on 29 job postings, the salary range for this role typically spans $140,000 to $243,000, with a median compensation recorded at $220,000. Top earners demonstrate expertise in architecting and deploying large-scale distributed ML systems, particularly for training and fine-tuning. Proficient MLOps practices tailored for foundational models, alongside deep knowledge of inference optimization techniques, are also highly valued skills commanding premium pay. This role demands a blend of technical depth and leadership to drive the successful operationalization of cutting-edge AI.

📊 Salary breakdown

ML Engineering Manager salary by location

  • All locations: $91K median ($91K–$150K typical range)
  • San Francisco: $279K median, $201K–$348K range (+206% vs. national)
  • New York: $121K median, $119K–$168K range (+33% vs. national)
  • Remote: $198K median, $158K–$235K range (+117% vs. national)
  • Seattle: $175K median, $154K–$184K range (+92% vs. national)
  • Chicago: $92K median, $91K–$115K range (+1% vs. national)
  • Los Angeles: $91K median, $87K–$141K range (+0% vs. national)
  • Dallas: $90K median, $81K–$91K range (-1% vs. national)

Highest paying companies

San Francisco

  • Anthropic: $363K median
  • OpenAI: $339K median
  • Hayden AI: $219K median

New York

  • Versant: $120K median

Based on companies with 3+ active postings. Median of publicly advertised salary range.

What's typically included

  • Health insurance: 90% of postings
  • Equity (RSU/options): 81% of postings
  • Flexible PTO: 80% of postings
  • Parental leave: 65% of postings
  • Learning/education budget: 6% of postings
  • Visa sponsorship: 2% of postings

Typical experience required: 4–6 years.

AI/ML salaries by seniority

What does a ML Engineering Manager do?

ML Engineering Managers are machine-learning and AI engineers who build, train, and ship models into production. This benchmark reflects Manager-level base compensation at high-growth and AI-native companies.

Common questions

What is the average ML Engineering Manager salary at an AI startup?
The median pay is $91K, with a typical range of $91K–$150K, based on 371 public job postings collected in 2025–2026.

How does ML Engineering Manager pay compare in San Francisco vs. remote?
San Francisco roles pay a median of $279K, while fully-remote roles pay $198K.

Where does this salary data come from?
It is aggregated from public job postings on company career pages — no private placement or client data. We require a minimum of 15 postings per role.

Methodology

Figures are the midpoint of each posting's advertised USD salary range, aggregated from 371 public job postings (2025–2026). The range shown is the 25th–75th percentile; the median is the 50th percentile. Equity is separate and not included; where a posting's range reflects on-target earnings (OTE) for commission roles, that is included in the midpoint. Roles require at least 15 postings to be published. Last refreshed July 1, 2026.

Hiring ML Engineering Managers? RFS recruiters specialize in AI/ML placements at AI-native and high-growth startups. Talk to an RFS recruiter →

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