(Senior) AI Scientist (m/f/d) at eigenblue
New York, NY
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Jul 15, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A research-heavy role focused on advancing a proprietary AI world model for multidisciplinary engineering. Day-to-day work spans developing reinforcement learning and planning methods for robotics and mechatronics, designing neural-symbolic reasoning over ontology-constrained representations, building graph and constraint-based search methods, and generating synthetic training data for safety-critical scenarios. Best suited to candidates with a PhD and a strong background in generative modeling, world models, or structured reasoning.
Senior level · National · Doctorate required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The job title is presented as '(Senior) AI Scientist', indicating the role may be filled at either a Mid or Senior level; the parenthetical framing suggests Senior is the primary target, so Senior is used for advertised seniority.
No work location is stated beyond the company name 'eigenblue'. The company appears to be a European (likely German) startup based on naming conventions and the 'm/f/d' gender designation common in German job postings — the US-based flag is set to false accordingly.
The degree requirement states 'PhD (or equivalent research experience)', which includes an experience-based alternative. However, the posting's strong emphasis on a publication record and research depth, combined with the PhD being listed first and prominently, suggests a doctorate is the practical gate for most candidates. The 'or equivalent' qualifier technically makes this None by schema rules, but the research depth framing makes PhD the de facto expectation — flagged here for the hiring manager's awareness.
Python and PyTorch/JAX appear in the requirements section with firm language ('Solid software engineering practice'). PyTorch and JAX are listed as interchangeable alternatives.
Transformer and diffusion architectures are listed as interchangeable in the requirements ('transformer and/or diffusion architectures').
Skills such as simulation environments, causal modeling, physics-based simulation, and synthetic data generation appear in the role description narrative rather than a distinct required-qualifications block, so they are marked as preferred.
No compensation, CBSA, or remote policy information is provided in the posting.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): generative modeling, causal modeling.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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