AI Benchmark & Datasets Engineer / Researcher
At a glance
Mid-level AI Research role at Pathway. Remote, United States · full-time · no salary stated · we estimate $135,000–$232,000 across the United States.
Pathway has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Find and select public or client benchmarks that match target use cases, markets and model plans
- Check benchmark instructions, data quality and scoring methods, then test candidates with baseline models
- Package benchmark specifications, data, scripts, metrics and constraints for the R&D team
- Keep benchmark terms and documentation usable across R&D and go-to-market teams
- Organize results and leaderboards, define success examples, and help turn findings into demos or public evidence
What you bring
- You meet at least one listed research or achievement bar, such as a lead or substantial paper contribution at NeurIPS, ICLR or ICML
- You have experience in ML or LLM evaluation, data science, or technical product work, preferably involving benchmarks or experiments
- You can interpret papers, leaderboards and GitHub projects and convert them into clear, repeatable evaluation plans
- You communicate technical details to engineers and customers, and are fluent in English
Who this fits
This role suits someone who can bridge hands-on model evaluation and customer-facing explanations, with careful attention to data quality, reproducibility and documentation. It is full-time and remote; applicants may be based in the EU, UK, United States or Canada. Joining is preferred immediately.
From the employer
About Pathway
Pathway builds the first post-transformer frontier model that solves AI's fundamental memory problem. While transformers wake up in the same state every time—like Groundhog Day—our architecture enables true continuous learning, infinite context reasoning, and real-time adaptation. We're not optimizing yesterday's technology; we're building what comes after transformers.
Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.
Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20.
The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California.
The Opportunity
You will design and execute rigorous benchmarks and define dataset standards. Collaborating closely with our R&D team, you will build the evaluation infrastructure that guides the evolution of Pathway’s post‑transformer models.
You Will
- Proactively identify, prioritize, and curate relevant public and client-driven benchmarks across our target use cases and markets.
- Evaluate candidate benchmarks for clarity, data quality, evaluation methodology, and fit with our model roadmap.
- Run benchmarks with baseline models to validate setup, uncover edge cases, and de‑risk R&D runs.
- Hand off “benchmark-ready” packages to R&D (specs, data, evaluation scripts, expected metrics, constraints)
- Maintain a shared vocabulary and documentation around benchmarks, datasets, and evaluation formats that GTM and R&D can both use.
- Track and organize benchmark results, model leaderboards, and “what good looks like” for different customers and scenarios.
- Contribute to demos and public‑facing proof points based on benchmark outcomes.
You will play a key role in defining and driving the benchmarking process for AI model evaluation. Your work will directly influence what we build, how we talk about it, and how customers and the market experience BDH.
Requirements
Cover letter
It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.
You are expected to meet at least one of the following criteria:
- You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions.
- You have significantly contributed to an LLM training effort which became newsworthy (topped a Hugging Face benchmark, best in class model, etc.), preferably using multiple GPU's.
- You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA).
- You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School.
You
- Have experience with ML/LLM evaluation, data science, or technical product roles, ideally around benchmarks or experimentation.
- Are comfortable reading papers, leaderboards, and Github repos, and turning them into clear, repeatable benchmark specs.
- Can talk comfortably with both engineers and customers, and translate between technical detail and business value.
- Care about high‑quality data, reproducible experiments, and crisp documentation
- Are respectful of others
- Are fluent in English
Bonus Points
- Published or open‑sourced work on LLM evaluation, benchmarking or data quality.
- Experience designing custom benchmarks or evaluation protocols for novel model capabilities.
Why You Should Apply
- Join an intellectually stimulating work environment.
- Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data.
- Be part of one of an early-stage AI startup that believes in impactful research and foundational changes.
Benefits
- Type of contract: Full-time, permanent
- Preferable joining date: Immediate. The positions are open until filled – please apply immediately.
- Compensation: based on profile and location.
- Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered.
If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.