[CAD] Data Scientist & Engineer
Zurich, Switzerland
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou’ll work directly with researchers to turn large volumes of CAD and engineering assets into model training datasets and figure out which data actually makes the model better.
Analyse dataset composition, identify gaps and quality issues, and work with researchers to test how data selection, filtering, and mixing affect model performance.
Collaborate with world-class researchers on groundbreaking projects.
From the employer’s posting
The Role We’re hiring a Data Scientist and Engineer to create training data for a frontier CAD and mechanical design model. You’ll work directly with researchers to turn large volumes of CAD and engineering assets into model training datasets and figure out which data actually makes the model better. This is both a scientific and an engineering role. You’ll investigate the data, design experiments, and build the pipelines that turn your findings into better training datasets.
Transform raw assets into ML-ready datasets. Extraction, parsing, normalisation, deduplication, and filtering. Some transformations will be mundane, some creative; you’ll decide what’s needed. Understand and improve the training distribution. Analyse dataset composition, identify gaps and quality issues, and work with researchers to test how data selection, filtering, and mixing affect model performance. Generate and evaluate synthetic data using LLMs and VLMs. Own generation strategies, prompting, and pipelines at scale. Establish whether the resulting data improves coverage and model performance.
Why Join Us Collaborate with world-class researchers on groundbreaking projects. Competitive salary, benefits, and flexible work arrangements.
Job description
Prometheus · CAD Working Group · Zurich or London or San Francisco
The Role
We’re hiring a Data Scientist and Engineer to create training data for a frontier CAD and mechanical design model. You’ll work directly with researchers to turn large volumes of CAD and engineering assets into model training datasets and figure out which data actually makes the model better.
This is both a scientific and an engineering role. You’ll investigate the data, design experiments, and build the pipelines that turn your findings into better training datasets.
What You’ll Do
Transform raw assets into ML-ready datasets. Extraction, parsing, normalisation, deduplication, and filtering. Some transformations will be mundane, some creative; you’ll decide what’s needed.
Understand and improve the training distribution. Analyse dataset composition, identify gaps and quality issues, and work with researchers to test how data selection, filtering, and mixing affect model performance.
Generate and evaluate synthetic data using LLMs and VLMs. Own generation strategies, prompting, and pipelines at scale. Establish whether the resulting data improves coverage and model performance.
Own the pipelines and their infrastructure. Orchestration, storage, versioning, reproducibility, cost, and performance.
Work with researchers as a peer. When a result looks strange, you’re in the conversation about why—and you’ll often be the one who finds the answer in the data.
What We’re Looking For
Must have
3+ years of hands-on experience in both data science and building data pipelines for machine learning.
Strong statistical reasoning and practical experience designing experiments and evaluating their results.
Strong software engineering skills and comfort owning your own infrastructure.
Nice to have
Exposure to CAD, mechanical design, or geometric data.
Why Join Us
Collaborate with world-class researchers on groundbreaking projects.
Competitive salary, benefits, and flexible work arrangements.
A mission-driven culture where your impact is visible.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Zurich, Switzerland
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 18, 2026
- Recorded sightings
- 7
- Last seen by us
- Oct 6, 2026
- Employer says posted
- Sep 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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