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About the Role

We’re hiring an AI Research Engineer to push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool. You’ll design and run experiments, build agents, curate datasets from complex technical documents, and create rigorous evaluations. You’ll write production‑quality research code and work closely with engineering to ship improvements to customers. Impact through research and building is key.

Responsibilities

Design and implement multi‑agent and RL approaches for agentic code generation and tool‑use.
Build research prototypes that integrate with our agentic code generation tool; collaborate to productionize wins.
Create evaluation suites: task specs, pass/fail checkers, coverage, cost/latency dashboards.
Acquire and curate datasets from PDFs/logs/tables; generate synthetic data where appropriate; maintain data cards and licensing.
Analyze experiments with disciplined ablations; document results and decisions.
Stay current on LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, and program synthesis.

Requirements

PhD in CS/AI/ML (or equivalent research experience) with publications ideally in multi‑agent RL, agentic AI, or RL for language/code.
Strong Python and ML framework experience (PyTorch preferred; JAX/HF a plus).
Demonstrated ability to turn research into working systems; reproducibility mindset (tests, seeds, configs, logging).
Experience designing eval harnesses and success metrics for sequential/agentic tasks.
Comfortable with data acquisition/curation from documents/logs; good instincts about data quality and licenses.
Clear communicator who partners well with engineers.

Skills

Python
PyTorch
JAX
Hugging Face
LLM agents
Reinforcement Learning (RL)
Offline RL
Online RL
RLHF
RLAIF
Constrained decoding
Program synthesis
Data acquisition
Data curation
Evaluation harnesses
Success metrics
Sequential tasks
Agentic tasks
Semiconductor/chip domains
Technical specifications

Location

Remote

Work Type

Full-time

Experience Level

PhD or equivalent research experience

Education Level

PhD in CS/AI/ML

About the Company

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities.
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.