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

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Job Description

Ovii's Interpretation of the Role

We are seeking a Research Engineer / Applied Scientist to turn cutting‑edge AI research into production‑grade systems for enterprise customers. The role blends rigorous experiment design, model evaluation, and large‑language‑model engineering with a strong software engineering focus.

Role Snapshot

  • Applied AI research
  • Production ML systems
  • NL‑to‑SQL & conversational AI
  • Experiment design & evaluation
  • Python & modern AI frameworks
  • Enterprise impact

Must-Have Requirements

  • Python
  • Modern AI frameworks
  • LLM and agent architectures
  • Design rigorous evaluation frameworks
  • applied machine learning
  • NLP
  • large language model production
  • Master's degree in Computer Science, Machine Learning, AI, NLP, or related field
  • On‑site work in San Mateo, CA

Nice-to-Have Signals

  • Publications at leading AI/NLP conferences
  • Open‑source AI contributions
  • Experience adapting foundation models
  • AI conference publications
  • 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
  • Remote eligibility
  • Notice period
  • Travel
  • Security clearance
  • Coding test
  • Portfolio
  • GitHub
  • Writing sample
  • Cover letter

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 automated evaluation frameworks, regression suites, and LLM‑as‑a‑judge pipelines
  • Prototype, validate, and productionize ML techniques such as fine‑tuning, distillation, retrieval optimization, and agent architectures
  • Assess emerging foundation models and translate promising advances into production experiments
  • Publish technical reports or present at conferences to contribute to the broader AI community

Good Fit If You Have

  • Track record of publications at top AI/NLP conferences (nice‑to‑have)
  • Contributions to open‑source AI projects (nice‑to‑have)
  • Scientific mindset with strong emphasis on rigorous experimentation
  • Ability to balance research curiosity with pragmatic shipping

Skills

  • Large language models (LLMs)
  • Agent architectures
  • Python programming
  • Modern AI frameworks (e.g., PyTorch, TensorFlow)
  • NL‑to‑SQL generation
  • Retrieval optimization
  • Model fine‑tuning & distillation
  • Evaluation frameworks & benchmarking
  • Data‑driven performance trade‑offs