---
title: "Founding Machine Learning Engineer"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-founding-machine-learning-engineer-f0f26041-0c37-4f8f-a9b5-c7781e9f14b6"
apply_url: "https://jobs.ashbyhq.com/clera/2bf9ddbe-1290-4c55-bf7d-05905c57c6ae"
workplace: onsite
location: "Munich"
employment_type: full-time
seniority: founding
role: ai-machine-learning
region: europe
skills: ["python"]
date_posted: 2026-09-23T18:19:26.415Z
first_seen_by_remjobs: 2026-09-23T18:43:02.896Z
---

# Founding Machine Learning Engineer

**Clera** · Munich

Apply: https://jobs.ashbyhq.com/clera/2bf9ddbe-1290-4c55-bf7d-05905c57c6ae

## About Clera

Stop applying to startups. Start getting introduced. Clera connects you directly with hiring managers at the companies you want to work for.

## About the role

##### About the Role

This is a founding ML engineering role at an early-stage AI startup, where you will own the machine learning function from day one. Working closely with founders and researchers, you will shape the technical direction of post-training pipelines, agent systems, and the broader ML roadmap as the team scales.

##### What You'll Do

- Structure, filter, and score experimental trajectories for training data pipelines.

- Design and implement evals and benchmarks that measure model reasoning, planning, and experimental improvement.

- Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure.

- Establish robust validation and provenance tracking for trajectory and data quality.

- Set ML roadmap priorities across systems, experiments, and hiring decisions.

- Lead the technical direction of the ML team as it grows.

##### What We're Looking For

- 3 or more years in machine learning engineering roles with a track record of delivering production ML systems.

- Hands-on experience with post-training data pipelines, including structuring, filtering, and scoring training data.

- Demonstrated experience building agent environments, tool interfaces, and RL training systems.

- Production software engineering proficiency in Python and systems-level programming for ML infrastructure.

- Experience designing and implementing evaluation frameworks and benchmarks for ML models.

- Deep understanding of trajectory data, reward modeling, and agent decision-making systems.

- Experience building data validation, provenance tracking, and observability systems for ML pipelines.

- Background at a frontier AI lab or on a post-training or evals team at scale is a strong plus.

- High agency, comfort with ambiguity, and the ability to bridge research and production seamlessly.

##### Compensation & Benefits

Salary range: **$100,000 to $170,000 USD annually.** Visa sponsorship is not available.

##### Location

On-site in Munich, Germany (primary location), with additional offices in Zurich, Switzerland and San Francisco, California. Remote arrangements may be discussed on a case-by-case basis.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-founding-machine-learning-engineer-f0f26041-0c37-4f8f-a9b5-c7781e9f14b6