ML infrastructure and MLOps job description: template and real figures
A template for hiring an ML infrastructure and MLOps, with what employers in today’s 382 open postings for this work ask for and offer. Copy it, fill in the brackets, then post the job free.
- Open postings today
- 382
- Experience asked, median
- 5 years
- Postings that state pay
- 69%
- Median advertised pay
- $242K
- Open to remote work
- 13%
ML Platform Engineer [Company] · [City, or Remote and the countries it is open to] · [Full-time] About us [Two sentences: what the company does, for whom, and one number that shows where it is now.] About the role Our ML Platform Engineer builds the computers and pipelines AI models are trained and run on. You will report to [manager’s title] and work with [team]. What you will do - [The most important result of the first year, with a number] - Model serving: [what this means in your team] - Training pipelines: [what this means in your team] - GPU scheduling: [what this means in your team] - [One more duty that is specific to this job] What we are looking for - [5]+ years of experience as an ML infrastructure and MLOps - Experience with Python - Experience with LLM - Experience with AI - Experience with Kubernetes - [One or two must-haves that are specific to this job] Pay and benefits - Pay range: $[lowest] – $[highest] a year, [plus equity or bonus if any] - Parental leave - Equity - Relocation support - [Paid time off, health cover and the rest of your benefits] How to apply [What to send, the interview steps and how long they take. Name the date you will reply by.]
What today’s ML infrastructure and MLOps postings say
| Experience asked | Median 5 years; the middle half ask 3–7 years (212 postings name a number) |
|---|---|
| Pay advertised | $212K – $285K for the middle half; median $242K (253 postings with a yearly US-dollar range) |
| Skills named most | Python (58%), LLM (45%), AI (45%), Kubernetes (42%) |
| Benefits named most | Parental leave (34%), Equity (26%), Relocation support (7%) |
| Most common level | Lead (30% of postings) |
| Titles employers use | Staff Software Engineer, AI Platform, Staff Machine Learning Engineer, ML Platform, Senior Software Engineer, AI Platform, Software Engineer, AI Infrastructure (Starshield), AI Platform Engineer, Principal Engineer, AI Platform |
Counted from the 382 open postings for this work on Nov 14, 2026, read from employers’ own careers pages. Recounted on every update.
Questions about hiring an ML infrastructure and MLOps
- What should an ML infrastructure and MLOps job description include?
- What the person will achieve in the first year, the duties, the must-have experience, the pay range and how the hiring steps work. For this work, today’s postings name Python, LLM, AI most often.
- Should an ML infrastructure and MLOps job posting show the salary?
- Yes, if you can: 69% of today’s 382 open ML infrastructure and MLOps postings here do. A range filters out people who would turn the offer down, and several US states and EU countries now require it.
- How many years of experience should I ask for?
- The median in today’s ML infrastructure and MLOps postings is 5 years. Ask for what the work needs: every extra year you require shrinks the pool of applicants.
Everything about ML infrastructure and MLOps work
See also: 382 open ML infrastructure and MLOps jobs · ML infrastructure and MLOps pay · how to hire an ML infrastructure and MLOps · all job description templates