Boltz-2 Jobs

2 Boltz-2 jobs currently listed

Browse 2 open positions that require Boltz-2 experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.

By the numbers

  • Mostly Senior roles
  • Often paired with AlphaFold, Boltz, Kubernetes, OpenFold
  • Top locations: Berlin

Market insights

Apheris is currently the most active employer hiring for Boltz-2.

Seniority mix

  • Senior 50%
  • Principal 50%

Top hiring companies

What you'll find here

Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.

Apheris Reposted 6 time(s)
Remote

Forward-Deployed ML Engineer – Cofolding

Remote (17 countries) - English

AlphaFold OpenFold Boltz
Apheris Reposted 3 time(s)
Remote

Principal ML Engineer - Large Molecules

Berlin, Germany (Remote) - English

Python PyTorch Kubernetes

Frequently Asked Questions

How many Boltz-2 jobs are available right now?
There are currently 2 open positions that list Boltz-2 as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires Boltz-2?
We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Boltz-2 jobs that don't use a particular framework or language.
Are salary ranges accurate?
When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.