Pay
In line with similar jobs
$150K–$250K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
AI/ML Engineer
San Francisco, California, United States
Actively hiring, first seen by us 3 hours ago- Pay
USD 150,000–250,000/year — pay source
Compensation & Benefits Salary: $150,000 – $250,000 USD annually Visa sponsorship available
Read the full posting- 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
Before you apply
- Work authorization
- Sponsors visas
What you’ll work on
Full postingJoin an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era.
You'll collaborate closely with experts in applied AI and mechanical engineering, integrating machine learning directly into high-fidelity simulation pipelines to help customers iterate faster, diagnose failures earlier, and bring better products to market.
Research, design, and develop AI/ML algorithms to tackle complex challenges in simulation, design automation, and computer-aided engineering.
Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure.
Lead performance improvements — from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks.
From the employer’s posting
Join an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer — designing, training, and deploying models that accelerate simulation, improve accuracy, and unlock entirely new ways of exploring the design space. From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve.
You'll collaborate closely with experts in applied AI and mechanical engineering, integrating machine learning directly into high-fidelity simulation pipelines to help customers iterate faster, diagnose failures earlier, and bring better products to market. This is a rare opportunity to join early and make a foundational impact.
What You'll Do Research, design, and develop AI/ML algorithms to tackle complex challenges in simulation, design automation, and computer-aided engineering. Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure.
Research, design, and develop AI/ML algorithms to tackle complex challenges in simulation, design automation, and computer-aided engineering. Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure. Lead performance improvements — from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks.
Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure. Lead performance improvements — from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks. Guide AI/ML projects from research through to production deployment.
Education & alternatives
- Strong understanding of engineering principles in simulation, modeling, and optimization. - Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field. Nice to Have:
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
- TensorFlow
Where the posting names them
- 2+ years of technical leadership guiding AI/ML projects from research to production. - Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). - Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh data, or simulation outputs).
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
Join an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer — designing, training, and deploying models that accelerate simulation, improve accuracy, and unlock entirely new ways of exploring the design space. From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve.
You'll collaborate closely with experts in applied AI and mechanical engineering, integrating machine learning directly into high-fidelity simulation pipelines to help customers iterate faster, diagnose failures earlier, and bring better products to market. This is a rare opportunity to join early and make a foundational impact.
What You'll Do
Research, design, and develop AI/ML algorithms to tackle complex challenges in simulation, design automation, and computer-aided engineering.
Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure.
Lead performance improvements — from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks.
Guide AI/ML projects from research through to production deployment.
Contribute to MLOps practices and help build robust, end-to-end AI/ML systems.
What We're Looking For
Required:
4+ years of experience developing and deploying AI/ML models with a proven track record of delivering impact in applied engineering or scientific domains.
2+ years of technical leadership guiding AI/ML projects from research to production.
Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow).
Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh data, or simulation outputs).
Familiarity with MLOps practices and building AI/ML systems end-to-end, from prototyping to scalable deployment.
Strong understanding of engineering principles in simulation, modeling, and optimization.
Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
Nice to Have:
Experience with CAE, CAD, and/or PLM tools (e.g., Ansys, Abaqus, COMSOL, SolidWorks, NX).
Experience in a fast-paced startup environment.
Compensation & Benefits
Salary: $150,000 – $250,000 USD annually
Visa sponsorship available
Location
On-site in San Francisco, CA, United States. Candidates must be available to work from the San Francisco office.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation & Benefits Salary: $150,000 – $250,000 USD annually Visa sponsorship available
- Location & working pattern
San Francisco, California, United States
Location On-site in San Francisco, CA, United States. Candidates must be available to work from the San Francisco office.
- Work authorization
- Salary: $150,000 – $250,000 USD annually - Visa sponsorship available Location