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<div class="content-intro"><h2><strong>About Inflection AI</strong></h2>
<p>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.<br><br>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.</p></div><h2>About the Role</h2>
<p>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.</p>
<p><strong>This is a good role for you if you:</strong></p>
<ul>
<li>Have hands-on experience training and fine-tuning large transformer models on multi-GPU / multi-node clusters.</li>
<li>Are fluent in PyTorch and its ecosystem tools (Torchtune, FSDP, DeepSpeed) and enjoy digging into distributed-training internals, mixed precision, and memory-efficiency tricks.</li>
<li>Have shipped or published work in RLHF, DPO, GRPO, or RLAIF and understand their practical trade-offs.</li>
<li>Care deeply about training tools, pipelines, and reproducibility—you automate the boring parts so you can iterate on the fun parts.</li>
<li>Balance research curiosity with product pragmatism—you know when to run an ablation and when to ship.</li>
<li>Communicate crisply with both technical and non-technical teammates.</li>
<li>Have a bachelor’s degree or equivalent in a related field to the offered position requirements.</li>
</ul>
<p><strong>Responsibilities include:</strong></p>
<ul>
<li>Contribute to end-to-end post-training workflows—dataset curation, hy