Ovii Job Board

Research Engineer/ Applied Scientist

Wisdom AI

San Mateo, United States • Onsite - San Mateo, United States • Full-Time • 5+ years

Posted 2026-07-09 USD 280,000+ per year Tech & Engg

Apply on employer site

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