
Research Engineer/ Applied Scientist
Wisdom AI
Posted 2026-07-09
USD 280,000+ per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
We seek a senior Research Engineer/Applied Scientist to turn cutting‑edge AI research into production‑grade systems for enterprise customers. You will design rigorous experiments, build evaluation frameworks, and ship LLM‑based solutions that directly impact how businesses interact with data.
Role Snapshot
- Applied ML research
- Production AI systems
- Experiment design & evaluation
- LLM and agent architectures
- Python engineering
- Enterprise AI impact
Must-Have Requirements
- Python (production‑grade)
- AI frameworks (e.g., PyTorch, TensorFlow)
- Large language models & agent architectures
- Evaluation framework design & benchmarking
- NL‑to‑SQL generation, retrieval, ranking
- applied machine learning
- NLP
- large language models
- AI research
- Master's degree in Computer Science, Machine Learning, Artificial Intelligence, NLP, or related field
Nice-to-Have Signals
- Publications at top AI/NLP conferences
- Open‑source AI contributions
- Experience adapting foundation models and deploying production‑scale LLM systems
- publications at leading AI conferences
- open‑source AI project contributions
- PhD (strong plus)
Work Setup
- Location: San Mateo, United States
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Travel requirement
- Security clearance
- Coding test
What You'll Likely Work On
- Design and run rigorous experiments (ablations, benchmarking, error analysis) for NL‑to‑SQL, retrieval, ranking, and agentic reasoning
- Advance multi‑turn conversational understanding via context retention, entity resolution, memory, and clarification strategies
- Build robust evaluation frameworks, including automated benchmarks, regression suites, and LLM‑as‑a‑judge methods
- Prototype, validate, and productionize ML techniques such as fine‑tuning, distillation, retrieval optimization, and agent architectures
- Evaluate emerging foundation models and rapidly translate promising advances into production experiments
- Contribute technical reports or conference talks to the broader AI community
Good Fit If You Have
- Scientific mindset with a focus on rigorous experimentation
- Balance of elegant research and measurable production impact
- Enjoys digging into production failures to uncover new research directions
- Thrives in high‑standards, ambitious problem environments
Skills
- Large language models (LLMs)
- Python (production‑grade)
- AI frameworks (e.g., PyTorch, TensorFlow)
- NL‑to‑SQL generation & retrieval
- Conversational memory & entity resolution
- Model fine‑tuning & distillation
- Evaluation frameworks & benchmarking
- Data‑driven performance optimization