Clera

AI Engineer – Model Training & Deployment

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

About the Role
Join an early-stage industrial robotics startup in Munich as a junior AI Engineer on a focused ML and robotics team. You'll work on the core deep learning stack that enables robotic work cells to perceive and act in real industrial environments — covering tasks such as surface finishing, welding, and coating. This is a hands-on, high-impact role from day one, with room to grow into deployment and MLOps responsibilities as the platform matures. Early team members participate in equity.
Note: This role is fully on-site in Munich, Germany. Visa sponsorship is not available.
What You'll Do
Train and implement deep learning models as part of the core robotics product.

Iterate on model architectures and training pipelines to improve real-world performance.

Support deployment of trained models to customer and edge environments.

Collaborate closely with the ML and robotics team on the core technical roadmap.

Contribute to on-site customer deployments and edge environment bring-up.

Design and run reproducible experiments, tracking evaluation metrics to drive continuous improvement.

What We're Looking For
Must-haves:
1+ years of hands-on experience training deep learning models using Python and PyTorch (academic thesis, research project, or industry work counts).

Proficiency with Docker for environment replication and model deployment.

Comfort working in a Linux / command-line environment.

Experience deploying trained models to production or customer environments.

Strong advantages:
Familiarity with Slurm or other cluster job scheduling systems.

Experience with ONNX or other model export / interoperability tools; interest in edge or on-device deployment.

Background or strong interest in computer vision, robotics, or physical systems.

Experience with data versioning tools such as DVC.

Cloud deployment experience.

Fluency in English; German is a plus.

Rigorous, analytical mindset with a habit of structured experimentation.

Compensation & Benefits
Competitive salary commensurate with experience.

Equity participation as an early team member.

Opportunity to shape the technical direction of a growing robotics platform.

Location
This position is on-site in Munich, Bavaria, Germany. Candidates must be eligible to work in Germany; visa sponsorship is not provided.
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Python Engineer Model Training Deployment remote

Likely questions

  1. Tell us about work you have done that is close to the AI Engineer – Model Training & Deployment role.
  2. How would you approach your first 30 days at Clera?
  3. Which of Python, Engineer and Model have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Python, Engineer and Model.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the AI Engineer – Model Training & Deployment role because I can bring practical experience in Python, Engineer and Model, learn the team quickly, and contribute to the outcomes Clera needs from this hire.

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