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Member of Technical Staff – Agent
Company WatchAI Engineer developing scalable systems for training large-scale agents in machine learning, working within a research team to push boundaries of agentic AI.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in Agentic AI, with a strong focus on designing and developing high-performance systems for large-scale agents. Proven ability to mentor teams, conduct rigorous evaluations, and bridge research with engineering practices.
Highest-signal resume keywords
Agentic AI ExpertiseFoundation Models (LLMs/VLMs)Machine LearningCollaboration in Research EnvironmentsTechnical Mentorship
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
System Architecture DesignHigh-Performance System ImplementationBenchmark Creation and ManagementLearning Algorithm DevelopmentCode Review and Technical Innovation
Soft Skills
Impactful CommunicationTeamwork OrientationProblem-Solving
Certifications & Qualifications
PhD in Machine Learning or Computer Science
Industry Keywords
Frontier AI LabResearch ScientistNeurIPSICMLICLR
About the role
Key responsibilities & impact- Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs).
- Design, implement, and scale complex, high-performance systems for training large-scale agents.
- Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures.
- Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities.
- Mentor and guide other engineers and researchers on the team, fostering technical excellence.
- Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle.
Requirements
What you’ll need- Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab
- Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science.
- Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs).
- Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment.
- Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly.
- Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI.
Benefits
Comp & perks- Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
- Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
- Enjoy a competitive salary.
- Unlock opportunities for professional growth, continuous learning, and career development.