AI Research Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 7h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 69d ago
The date the source published, not the day we noticed it (2026-08-25). Last seen at its source 4h ago.
We have tracked this listing since 23 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 4 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States, Canada
The description agrees: it names United States, Canada.
What the ad says
…Fully remote within the United States or Canada • Work on East Coast hours • Full-time position on a small, research-intensive team…
Pay
$130k–200k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 10d ago · last seen 4h ago
The listing
Our client is a nine-person AI infrastructure startup building the systems that make autonomous agents reliable in production. Founded in 2024, the company turns agent failures, traces, evaluations, and human feedback into replayable learning environments with regression control inside the optimization loop. It has raised $6.9M and already supports large enterprise customers across financial services, healthcare, and technology.
We are hiring an AI Research Scientist to advance the frontier of reliable agentic AI. You will be a core contributor to original methods for agent simulation, evaluation, optimization, and continuous learning, while remaining hands-on enough to turn research ideas into working systems and production-facing capabilities. Research depth is the priority, with real product impact and close collaboration across a small technical team.
What you'll do
• Develop new methods, algorithms, and systems across the lifecycle of reliable AI agents
• Create novel approaches for simulation, evaluation, optimization, and regression control in real-world agent settings
• Study agent failures, traces, and human feedback to design more reliable learning loops
• Turn research ideas into experiments, prototypes, and production-facing capabilities
• Partner with product and engineering teams to translate frontier AI work into customer value
• Help define the company's technical direction in agent reliability, evaluation, and optimization
• Contribute independent ideas and challenge assumptions with rigorous experimental evidence
Requirements
• A PhD in computer science, machine learning, or a closely related field, or equivalent research depth
• At least one year of research experience focused on LLM agents or agentic systems
• Expertise in evaluations, novel applications of AI agents, or agent frameworks
• Strong publication evidence at venues such as NeurIPS, ICLR, ICML, or ACL, or meaningful contributions to widely used open-source projects
• Proficiency in Python and the ability to implement research ideas hands-on
• Independent research judgment and the ability to clearly explain your personal contributions
• Availability to work East Coast hours from the United States or Canada
Bonus points
• Experience as a first research hire or member of a small startup research team
• Research experience at an AI lab or applied AI company
• Experience translating AI research into production systems and enterprise products
• Familiarity with reinforcement learning, continuous learning, simulation systems, or agent optimization
• A fresh PhD is welcome if the research fit and hands-on ability are strong
Benefits
• Base salary of $130K-$200K
• Approximately 1% equity
• Direct collaboration with recognized researchers and repeat founders
• Visa transfers, STEM OPT, H-1B transfer, or TN support may be available
• Fully remote within the United States or Canada
• Work on East Coast hours
• Full-time position on a small, research-intensive team