ML Infrastructure And MLOps salary: $242K median
From 253 open roles that publish a yearly US-dollar range. Advertised ranges, not verified pay.
$242Kmedian advertised salary
$212K – $285Kmiddle half of roles
$253Kaverage advertised salary
253roles counted
ML Infrastructure And MLOps salary by level
Lead roles advertise a median of $280K, 29% more than senior roles ($218K). The level comes from the job title; titles without a level word are counted separately.
| Level | Median salary | Middle half | Roles |
|---|---|---|---|
| Senior | $218K | $207K–$245K | 71 |
| Lead and above | $280K | $238K–$320K | 80 |
| No level in title | $248K | $198K–$300K | 99 |
ML Infrastructure And MLOps salary by location
| Name | Median salary | Roles counted |
|---|---|---|
| 🇺🇸New York | $250K | 33 |
| 🇺🇸San Francisco Bay Area | $249K | 185 |
| 🇺🇸California | $248K | 194 |
| 🇺🇸United States | $242K | 246 |
| 🇺🇸Seattle | $214K | 37 |
Top-paying companies
| Name | Median salary | Roles counted |
|---|---|---|
| Anthropic | $414K | 12 |
| $337K | 3 | |
| Perplexity | $332K | 4 |
| Roblox | $320K | 10 |
| Inworld AI | $315K | 3 |
| OpenAI | $308K | 10 |
| Zoox | $304K | 4 |
| Harvey | $286K | 4 |
| Waymo | $280K | 5 |
| Sentry | $278K | 3 |
| $276K | 5 | |
| Figma | $264K | 3 |
| SambaNova | $261K | 4 |
| Cohere | $260K | 5 |
| Modal | $260K | 3 |
| xAI | $255K | 5 |
| Baseten | $255K | 13 |
| Braze | $249K | 4 |
| Scale AI | $245K | 4 |
| Together AI | $245K | 13 |
| Crusoe | $238K | 10 |
| Databricks | $214K | 7 |
| CoreWeave | $210K | 14 |
| Lightning AI | $209K | 4 |
| Nuro | $200K | 13 |
Highest-paying open ML Infrastructure And MLOps roles
All ML infrastructure and MLOps jobs- Engineering Manager, GPU (ML Accelerator)Anthropic · 🇺🇸San Francisco, CA | New York City, NY | Seattle, WA$500K - $850KMachine Learning
- Performance Engineer, Inference SystemsAnthropic · 🇺🇸San Francisco, CA | New York City, NY | Seattle, WA$350K - $850KPythonSQLLLM
- Principal Engineer, AI PlatformPinterest · 🇺🇸San Francisco, CA, US; Remote, US$243K - $500KRemoteLeadRustJavaC++
- Software Engineer, GPU Infrastructure - HPCOpenAI · 🇺🇸San Francisco$230K - $490KGoPythonSQL
- Software Engineer, CI/CD & ML InfrastructureOpenAI · 🇺🇸San Francisco$318K - $485KRustGoPython
- Member of Technical Staff (AI Inference Engineer)Perplexity · 🇺🇸San Francisco$220K - $485KRustPythonLLM
- Member of Technical Staff (Software Engineer, GPU Cluster Infrastructure)Perplexity · 🇺🇸San Francisco$250K - $485KRustGoC++
- Senior Staff/Principal Software Engineer - GPU System Software, Onboard ExecutionZoox · 🇺🇸Foster City, CA$339K - $455KLeadC++LinuxCUDA
- Staff / Senior Staff Machine Learning Engineer, Inference - USAInworld AI · 🇺🇸Mountain View, California, USA$270K - $430KLeadRustPythonC++
- Sr. Staff Software Engineer, AI PlatformPinterest · 🇺🇸Palo Alto, CA, US; Remote, US$209K - $429KRemoteLeadPythonAI
- Software Engineer, GPU KernelsRiver AI Inc. · 🇺🇸Palo Alto, CA$200K - $420KPythonC++PyTorch
- Software Engineer, Inference SystemsRiver AI Inc. · 🇺🇸Palo Alto, CA$200K - $420KRustPythonC++
- Forward Deployed Engineer, InferenceCohere · 🇺🇸United States$240K - $415KGoPythonC++
- Senior Staff Machine Learning Engineer, GenAI PlatformReddit · 🇺🇸Remote - United States$292K - $410KRemoteLeadGoPythonTerraform
- Senior Staff Machine Learning Systems Engineer, Ads ML PlatformReddit · 🇺🇸Remote - United States$292K - $410KRemoteLeadMachine LearningKafkaAirflow
- Staff Software Engineer, AI PlatformSentry · 🇺🇸San Francisco, California$240K - $400KLeadPythonLLMAI
- Senior Software Engineer, AI PlatformSentry · 🇺🇸San Francisco, California$155K - $400KSeniorPythonTypeScriptLLM
- Product Manager, Inference PlatformBaseten · 🇺🇸San Francisco$200K - $400KMachine LearningLLMPyTorch
- Product Manager, Training PlatformBaseten · 🇺🇸San Francisco$200K - $400KMachine Learning
- AI Infrastructure EngineerMercor · 🇺🇸San Francisco$200K - $400KPythonC++GCP
Questions about ML Infrastructure And MLOps pay
- What is the average ML Infrastructure And MLOps salary?
- $253K a year on average and $242K at the median, across 253 open ML Infrastructure And MLOps postings at tech companies that state pay (November 2026). The median is the better guide: a few very high offers pull the average up.
- What is the typical range?
- The middle half of the postings offer $212K to $285K a year. A quarter offer less and a quarter offer more.
- Which companies advertise the highest ML Infrastructure And MLOps pay?
- Anthropic ($414K), Pinterest ($337K), Perplexity ($332K), by the median of their open postings that state pay (three postings or more).
- Where do these figures come from?
- From the pay ranges employers print in their own job postings, read from their careers pages every hour. The midpoint of each range is counted. These are advertised ranges for open roles, mostly in the United States and in US dollars, not what people are actually paid.
Writing about this? A sentence you can quote
The median advertised salary for ML Infrastructure And MLOps roles at tech companies is $242K a year, and the middle half of postings offer $212K to $285K. Counted from 253 open job postings that state pay, November 2026. Source: Hiring Right Now, https://jobseveryhour.com/salaries/mlops/
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