Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Senior AI/ML Engineer
San Francisco, California, United States
Actively hiring, first seen by us 3 hours ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
What you’ll work on
Full postingDesign and ship end-to-end ML systems: data pipelines, training, evaluation, deployment
Own model performance, latency, and cost trade-offs in production
Build evaluation harnesses and offline benchmarks for fast iteration
From the employer’s posting
What you will do Design and ship end-to-end ML systems: data pipelines, training, evaluation, deployment Own model performance, latency, and cost trade-offs in production
Design and ship end-to-end ML systems: data pipelines, training, evaluation, deployment Own model performance, latency, and cost trade-offs in production Build evaluation harnesses and offline benchmarks for fast iteration
Own model performance, latency, and cost trade-offs in production Build evaluation harnesses and offline benchmarks for fast iteration Work directly with product to translate ambiguous goals into measurable model improvements
What you’ll bring
All qualificationsCore experience
- 4+ years of applied ML engineering in production environments
- Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems
- Strong Python and PyTorch (or JAX) fundamentals
- Experience with distributed training, GPU optimization, or inference serving
Qualification wording
4+ years of applied ML engineering in production environments
Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems
Strong Python and PyTorch (or JAX) fundamentals
Experience with distributed training, GPU optimization, or inference serving
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 2026today
- Recorded sightings
- 1
- Employer says posted
- Jun 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 8 and day 75.
From 5,188 similar postings that came down. Coming down is not always a hire.
clera is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
Where the posting names them
- Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems - Strong Python and PyTorch (or JAX) fundamentals - Experience with distributed training, GPU optimization, or inference serving
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
About the role
Our client is a well-funded AI startup building production-grade ML infrastructure used by enterprise customers. They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems, and inference serving at scale. Full-time, on-site in San Francisco.
What you will do
Design and ship end-to-end ML systems: data pipelines, training, evaluation, deployment
Own model performance, latency, and cost trade-offs in production
Build evaluation harnesses and offline benchmarks for fast iteration
Work directly with product to translate ambiguous goals into measurable model improvements
Mentor other engineers on ML best practices and code quality
What we are looking for
4+ years of applied ML engineering in production environments
Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems
Strong Python and PyTorch (or JAX) fundamentals
Experience with distributed training, GPU optimization, or inference serving
Pragmatic about trade-offs between research-grade and ship-grade work
This role is presented by a recruiting partner. Company name shared after an initial conversation.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, California, United States
About the role Our client is a well-funded AI startup building production-grade ML infrastructure used by enterprise customers. They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems, and inference serving at scale. Full-time, on-site in San Francisco. What you will do
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.