Member of Technical Staff - Model Training
$175k - $350kInflection AI
About Inflection AI Inflection AI is a Public Benefit Corporation empowering people with human-centered, emotionally intelligent AI. We're shaping the future of AI by combining emotional intelligence (EQ) and raw intelligence (IQ) to elevate people's potential. Inflection AI created Pi, the world's first emotionally intelligent AI, to help people work through decisions, emotions, and challenges. Pi is a personal AI agent powered by Inflection AI's foundation model, proving that AI can be personal, empathetic, and contextually aware. About the Role As a Model Training engineer, you will design, build, and scale the post-training pipelines that turn a general LLM into a brand-fluent, production-ready assistant. Your innovations in fine-tuning and preference optimization (RLHF, DPO, GRPO, RLAIF) will directly improve reliability, alignment, and cost. This is a good role for you if you:
- Have hands-on experience training and fine-tuning large transformer models on multi-GPU / multi-node clusters.
- Are fluent in PyTorch and its ecosystem tools (Torchtune, FSDP, DeepSpeed) and enjoy digging into distributed-training internals, mixed precision, and memory-efficiency tricks.
- Have shipped or published work in RLHF, DPO, GRPO, or RLAIF and understand their practical trade-offs.
- Care deeply about training tools, pipelines, and reproducibility-you automate the boring parts so you can iterate on the fun parts.
- Balance research curiosity with product pragmatism-you know when to run an ablation and when to ship.
- Communicate crisply with both technical and non-technical teammates.
- Have a bachelor's degree or equivalent in a related field to the offered position requirements.
- Contribute to end-to-end post-training workflows-dataset curation, hyper-parameter search, evaluation, and rollout-using PyTorch, Torchtune, FSDP/DeepSpeed, and our internal orchestration stack.
- Prototype and compare alignment techniques (e.g., curriculum RL, multi-objective reward modeling, tool-use fine-tuning) and push the best ideas into production.
- Automate training at scale: build robust pipeline components, tools, scripts, and dashboards so experiments are reproducible and easy to trace.
- Define the metrics that matter; run A/B tests and iterate quickly to meet aggressive quality targets.
- Collaborate with inference, safety, and product teams to land improvements in customer-facing systems.
- Diverse medical, dental and vision options
- 401k matching program
- Unlimited paid time off
- Parental leave and flexibility for all parents and caregivers
- Support of country-specific visa needs for international employees living in the Bay Area
Vacancy posted 2 days ago
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