Member of Technical Staff - Model Training
Job in
Palo Alto, Santa Clara County, California, 94306, USA
Listed on 2026-02-17
Listing for:
Inflection AI
Apprenticeship/Internship
position Listed on 2026-02-17
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
The next era of AI will be defined by agents we trust to act on our behalf.
We're pioneering this future with human-centered AI models that unite emotional intelligence (EQ) and raw intelligence (IQ)-transforming interactions from transactional to relational, to create enduring value for individuals and enterprises alike.
Our work comes to life in two ways today:
Pi, your personal AI, designed to be a kind and supportive companion that elevates everyday life with practical assistance and perspectives.
Platform - large-language models (LLMs) and APIs that enable builders, agents, and enterprises to bring Pi-class emotional intelligence into experiences where empathy and human understanding matter most.
We are building toward a future of AI agents that earn trust, deepen understanding, and create aligned, long-term value for all.
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, Deep Speed) 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.
Responsibilities include:
* Contribute to end-to-end post-training workflows-dataset curation, hyper-parameter search, evaluation, and rollout-using PyTorch, Torchtune, FSDP/Deep Speed, 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.
Employee Pay Disclosures
At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary to fall within the range of $175,000 to $350,000, depending on a candidate's qualifications and level of experience. This role also includes a meaningful equity component, allowing employees to share in the long-term success of the company.
Benefits
Inflection AI values and supports our team's mental and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include:
* 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
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