
Senior Artificial Intelligence Researcher
Innovaccer
Posted 2026-08-24
Tech & Engg
Job Description
Ovii's Interpretation of the Role
We seek a senior AI researcher to design, build, and ship production‑grade AI solutions—including LLMs, agents, and retrieval‑augmented generation—within a healthcare data platform. The role blends hands‑on model engineering, experimental rigor, and cross‑functional collaboration with product, engineering, and data teams.
Role Snapshot
- Senior AI researcher
- Production‑grade AI systems
- LLM, RAG, and AI agent development
- Cross‑functional collaboration
- Python & PyTorch engineering
- Large‑scale model training & deployment
Must-Have Requirements
- Python
- PyTorch
- Multi‑node GPU training
- Model fine‑tuning
- Production model deployment
- Data pipeline ownership
- Research‑to‑production AI system development
- Large‑scale model training and serving
- Data pipeline engineering for model training
- MS or PhD in Computer Science, Machine Learning, or related quantitative field
Nice-to-Have Signals
- Mentoring or technical direction
- Research publications at top conferences
- Open‑source ML contributions
- Familiarity with HuggingFace, DeepSpeed/FSDP, vLLM/SGLang
- Top‑conference publications
- Open‑source contributions
- Mentoring junior engineers
Work Setup
- Location: San Francisco, United States
- Work mode: ONSITE
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Coding test
What You'll Likely Work On
- Design, prototype, and ship AI‑powered features such as LLM‑based agents and RAG pipelines
- Build and scale the model layer, selecting model sizes and composing multiple models into a product‑ready system
- Run rigorous experiments, hypothesis testing, and evaluation to validate model performance
- Optimize training and serving pipelines on multi‑GPU clusters using DeepSpeed/FSDP or equivalent
- Own end‑to‑end data pipelines for training, including deduplication, filtering, and format normalization
- Collaborate with product, engineering, and data teams to translate research ideas into production outcomes
- Mentor junior engineers and help set technical direction as the team grows (preferred)
Good Fit If You Have
- Hands‑on curiosity and ability to move research from paper to production
- Experience shipping models that meet real‑world accuracy and latency targets
- Strong communication skills for explaining AI results to clinicians and non‑technical stakeholders
- Track record of publications or impactful open‑source contributions
Skills
- Python programming
- PyTorch
- Large language model fine‑tuning (parameter‑efficient & full)
- Multi‑node GPU training (tens of GPUs, >10B‑parameter models)
- Model serving stacks (HuggingFace, DeepSpeed/FSDP, vLLM/SGLang)
- Data pipeline engineering for training data
- Experiment design & evaluation
- Research publication record (NeurIPS, ICML, ICLR, ACL, EMNLP)
- Open‑source ML contributions
- Mentoring or technical direction for engineers