Senior Domain Expert — Multi-Discipline AI Research Program
Job Description
Candidates must fall into one of the profiles listed above to be considered.
Tracks & Requirements:
1. Senior Software/Systems Engineer
Domain: Software Engineering
Experience: 8–12 years
Education: Bachelor's (Master's preferred)
2. Research Scientist — Formal Methods / Computational Science
Domain: Science (Math / Physics / Chemistry / Biology)
Experience: 10+ years
Education: PhD/Doctorate required
3. ML Research Engineer — Inference & GPU Kernels
Domain: Machine Learning / AI
Experience: 6–10 years
Education: PhD/Doctorate, or Master's with a strong research record
4. Enterprise Operations / Domain Analyst
Domain: Operations (Supply Chain / Finance / Compliance)
Experience: 8–12 years
Education: Bachelor's (professional certifications a plus)
5. Security Engineer — Cryptanalysis / Reverse Engineering
Domain: Security
Experience: 6–10 years
Education: Bachelor's (Master's preferred)
6. Mechanical / Hardware Design Engineer
Domain: Hardware (CAD / RTL / Robotics)
Experience: 8–12 years
Education: Bachelor's (PE license or Master's a plus)
7. Creative Technologist — Audio / Design / Linguistics
Domain: Media
Experience: 6–10 years
Education: Bachelor's (Master's a plus)
Candidates who meet the requirements and provide the requested materials will be prioritized for review. As part of this process, we conduct thorough background checks. Please apply only if you meet these requirements — candidates who meet fewer than 70% of the stated qualifications may be flagged for misrepresenting their professional experience, which could affect eligibility for future project staffing.
Why Apply
- Work directly on frontier AI research problems in your area of deep expertise
- Fully remote, flexible, asynchronous — fits around existing work
- Compensation scaled to track and seniority (see below)
Responsibilities
- Design realistic technical scenarios and problem sets within your track
- Author expert-level reference solutions and grading rubrics
- Evaluate AI-generated outputs for correctness, depth, and domain judgment
Required Qualifications
- Meets the experience and education bar for at least one track in Full Description
- Currently or recently active in the field — hands-on, not purely academic-adjacent
- Strong written communication — you'll be authoring technical explanations and structured feedback, not just doing the work itself
- Comfortable with independent, asynchronous, remote work
Preferred Qualifications
- Prior research publication record, open-source contributions, or recognized work product in your track's domain
- Experience evaluating, reviewing, or grading others' technical work (peer review, code review, grading, editing)
- Track-specific bonus signal ML: SGLang, vLLM, Mamba/Mamba2, TensorRT-LLM, or GPU kernel work
- Track-specific bonus signal Science: formal methods/theorem proving (Lean/Coq), computational biology/genomics, condensed-matter or quantum physics
- Track-specific bonus signal Security: reverse engineering, cryptanalysis, CTF experience
- Track-specific bonus signal Hardware: RTL/HDL, CAD, robotics
- Track-specific bonus signal Media: audio engineering, linguistics, multimodal design
Company Description
AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation.
We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.