Artificial Intelligence Researcher

Ovii's Interpretation of the Role

Innovaccer seeks an AI Researcher to design, prototype, and ship production‑grade AI systems for healthcare. The role blends cutting‑edge research with hands‑on engineering, collaborating across product, data, and engineering teams.

Role Snapshot

• AI research & prototyping
• Production‑grade model deployment
• Cross‑functional collaboration
• Python & PyTorch development
• Evaluation & experimentation
• Healthcare domain focus

Must-Have Requirements

• Python
• PyTorch
• Strong Python and PyTorch proficiency
• hands‑on AI model development
• research publication record
• open‑source contributions
• MS or PhD in Computer Science, Machine Learning, or related quantitative field
• Must hold MS or PhD (or exceptional BS with strong research/open‑source record)
• Must have strong Python and PyTorch skills

Nice-to-Have Signals

• HuggingFace ecosystem
• FSDP or DeepSpeed
• vLLM or SGLang
• Multi‑GPU training exposure
• Sharding strategy knowledge
• research internship at AI lab
• experience shipping models to users
• Exceptional BS candidates with substantial research or open‑source work

Work Setup

• Location: San Francisco, United States
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Cover letter

What You'll Likely Work On

• Design and build AI‑powered applications such as LLM agents, retrieval‑augmented generation, and intelligent automation workflows.
• Prototype, train, and ship models at scale using HuggingFace, FSDP/DeepSpeed, and multi‑GPU pipelines.
• Create robust serving stacks (vLLM, SGLang) and integrate models into real products with product‑level accuracy targets.
• Define hypotheses, run ablation studies, and construct rigorous evaluation frameworks before model release.
• Translate research findings into production code and explain results to clinicians, operators, and product partners.

Good Fit If You Have

• Hands‑on curiosity and comfort moving ideas from paper to production.
• Track record of first‑author publications at top ML conferences or substantial open‑source work.
• Ability to communicate complex AI concepts to non‑technical healthcare stakeholders.
• Experience fine‑tuning open‑weight models and choosing appropriate tuning strategies.