Titlesby GlyphMLOps Engineer job title trend since Apr 2011
Engineering · Established · in 0.73% of HN hiring posts · 35 open roles at 26 companies · median $250k
Runs the training, serving and monitoring infrastructure that ML teams depend on.
first seen Feb 2017, Hacker Newstook off Jun 2019
Why it exists
Written from the sources below
As companies put models into production, the code around the model (data pipelines, serving, monitoring) became most of the work and most of the risk. Google's 2015 'Hidden Technical Debt in Machine Learning Systems' paper named the problem, and MLOps borrowed DevOps practice to run the model lifecycle.
- PaperHidden Technical Debt in Machine Learning SystemsNeurIPS 2015 (Google), 2015 · backs: the maintenance cost of production ML systems
- DefinedMLOpsWikipedia, 2026 · backs: MLOps combines machine learning with DevOps continuous delivery
Where it is posted
Sectors
- AI application6
- AI lab5
- Fintech2
- Consumer2
- AI data1
- AI infrastructure1
- Data platform1
- Developer tools1
Cities
- San Francisco9
- Palo Alto6
- New York4
- Seattle3
- London, United Kingdom3
- Washington1
- Oakland1
- Austin1
- Barcelona, Spain1
- Berlin, Germany1
Countries and remote
- United States27
- United Kingdom3
- Spain1
- Germany1
- Ireland1
- Canada1
- Netherlands1
- India1
Remote option26%
Posted pay
Middle half $208k to $256k, median $250k from 21 postings that state a base range (USD a year).
Pay by level and city on SalariesWho is hiring for it
Open postings on their own job boards, read 5h ago| # | Company | Open roles | |
|---|---|---|---|
| 1 | Anduril IndustriesA company hiring most for Systems Engineer and Test Engineer. | 4 | |
| 2 | 3 | ||
| 3 | 2 | ||
| 4 | 2 | ||
| 5 | 2 | ||
| 6 | 2 | ||
| 7 | 1 | ||
| 8 | 1 | ||
| 9 | 1 | ||
| 10 | Atomic MachinesA company hiring most for Staff Engineer and MLOps Engineer. | 1 | |
| 11 | AvrideA company hiring most for Machine Learning Engineer and Data Scientist. | 1 | |
| 12 | 1 |
Open roles
8 of 35; company pages list the restSenior Machine Learning Infrastructure Engineer, Matchmaking
San Mateo, CA, United States
Senior AI Infrastructure Engineer, Physical Infrastructure
Seattle, Washington, United States
Senior Machine Learning Operations Engineer
San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
| Role | |||
|---|---|---|---|
| Senior Machine Learning Infrastructure Engineer, Matchmaking | San Mateo, CA, United States | $243k to $295k | |
| AI Infrastructure Engineer | San Francisco | $200k to $400k | |
| Senior / Staff AI Platform Engineer | San Francisco | $228k to $363k | |
| Senior AI Infrastructure Engineer, Physical InfrastructureAnduril IndustriesSeattle, Washington, United States$166k to $220k | Anduril Industries | Seattle, Washington, United States | $166k to $220k |
| Senior Machine Learning Platform Engineer - Identity | Remote - USA | $191k to $225k | |
| Principal ML Platform Engineer | United States | $175k to $325k | |
| Senior Machine Learning Operations Engineer | San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States | $167k to $208k | |
| MLOps EngineerAtomic MachinesEmeryville, California$200k to $250k | Atomic Machines | Emeryville, California | $200k to $250k |
Lineage
Share of Hacker News hiring posts
127 posts since Apr 2011November 2026 1 of 207 postings, 0.48%
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About this title
Runs the training, serving and monitoring infrastructure that ML teams depend on.
Also counted: ML platform engineer, ML infrastructure, ML infra
First sighting
...We are looking for experienced Machine Learning engineers, ML infrastructure engineers and product infrastructure engineers to join our team. At...
Median posted salary $250k from 21 postings that state a base pay range (the median of their midpoints, USD a year). Not a survey of what people earn.