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.
Founding Machine Learning Engineer
Munich, Bavaria, Germany
Actively hiring, first seen by us 4 hours ago- Pay
USD 100,000–250,000/year — pay source
Compensation & Benefits Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available. Location
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
- Must already have the right to work
Visa sponsorship is not available
What you’ll work on
Full postingOwn the machine learning function at an early-stage AI company, shaping post-training and agent systems from research through production.
Design and implement evaluations and benchmarks for model reasoning, planning, and experimental progress.
Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure.
From the employer’s posting
Own the machine learning function at an early-stage AI company, shaping post-training and agent systems from research through production. You will help set technical priorities and build the foundations for the ML team as it grows.
Structure, filter, and score experimental trajectories for training data pipelines. Design and implement evaluations and benchmarks for model reasoning, planning, and experimental progress. Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure.
Design and implement evaluations and benchmarks for model reasoning, planning, and experimental progress. Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure. Establish validation and provenance tracking for trajectory and data quality.
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
- Nov 7, 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
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
Where the posting names them
- Hands-on experience with post-training ML, evaluation frameworks, and post-training data pipelines, including structuring, filtering, and scoring training data. - Strong Python and systems-level software engineering skills for ML infrastructure. - Experience with agents, reinforcement learning, trajectory data, reward structures, and agent environment design.
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
Own the machine learning function at an early-stage AI company, shaping post-training and agent systems from research through production. You will help set technical priorities and build the foundations for the ML team as it grows.
What You'll Do
Structure, filter, and score experimental trajectories for training data pipelines.
Design and implement evaluations and benchmarks for model reasoning, planning, and experimental progress.
Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure.
Establish validation and provenance tracking for trajectory and data quality.
Set priorities for ML systems, experiments, and hiring, and lead technical direction as the team scales.
What We're Looking For
At least 3 years of professional experience building or delivering production machine learning systems.
Hands-on experience with post-training ML, evaluation frameworks, and post-training data pipelines, including structuring, filtering, and scoring training data.
Strong Python and systems-level software engineering skills for ML infrastructure.
Experience with agents, reinforcement learning, trajectory data, reward structures, and agent environment design.
Experience building evaluation benchmarks, replay and debugging tools, data validation, provenance tracking, or observability systems.
Ability to bridge research and production, take ownership, and work effectively in an ambiguous, fast-moving environment.
Compensation & Benefits
Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Germany.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation & Benefits Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available. Location
- Location & working pattern
Munich, Bavaria, Germany
Location On-site in Munich, Germany.
- Work authorization
Compensation & Benefits Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available. Location