Posted 2 months ago
AI Research Scientist
@ Raydar
Remote in Canada
Overview
Raydar is hiring an AI Research Scientist, a full-time role within a nine-person AI infrastructure startup developing methods for reliable agentic AI. The work covers original research on agent simulation, evaluation, optimization and continuous learning, turned into working systems. The posting states a base salary of $130K-$200K, roughly 1% equity, and fully remote work within the United States or Canada on East Coast hours.
Responsibilities:
- Develop new methods and systems for reliable AI agents
- Create approaches for simulation, evaluation, optimization and regression control
- Study agent failures, traces and human feedback
- Turn research ideas into prototypes and production-facing capabilities
- Partner with product and engineering teams
Requirements summary:
- PhD in computer science, machine learning or related field, or equivalent research depth
- At least one year of research on LLM agents or agentic systems
- Strong publications at NeurIPS, ICLR, ICML or ACL, or major open-source contributions
- Proficiency in Python
- Availability for East Coast hours from the US or Canada
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-08-25
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Data & analytics |
| Experience | 1+ years |
| Hours per week | 40 (estimated) |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Doctorate (required) |
| Fields of study | computer science, machine learning |
| Perks mentioned | Visa sponsorship, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Raydar
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Creating solutions for the future
Full company description
At Raydar we help innovative companies find the solutions they need to supercharge their growth. See website for full list of active open roles: www.raydar.xyz/open-roles
- LinkedIn followers
- 77,412
- People associated on LinkedIn
- 28
- Reported office locations
- 1514 17th St, 205, Santa Monica, California 90404, US
- Other recorded names
- Raydar
- Profile identifies a recruitment agency
- No
At Raydar we help innovative companies find the solutions they need to supercharge their growth. See website for full list of active open roles: www.raydar.xyz/open-roles
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 11-50 employees |
| Headquarters | Santa Monica, California |
| Organization type | Privately Held |
| Year founded | 2021 |
| Open jobs on Jobsy | 33 |
| View page |
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
• 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
• 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
Journal
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