Senior Machine Learning Engineer
July 28
🏢 In-office - London
Description
• As machine learning engineer, you’ll contribute to our ML research and development in areas including data collection, data curation, continued pre-training, ablation studies, evals, creation of hand-crafted supervised fine-tuning data, preference optimization, and state-of-the-art reinforcement learning research. • You'll also contribute to our internal tooling for making models better and understanding how our models are performing in production. • You’ll be primarily working with 70B parameter models as well as fine-tuning GPT-4o, through our partnership with OpenAI. • You will be responsible for reading papers and identifying state-of-the-art techniques for us to learn from. • Our application backend is written in Kotlin and our ML stack (PyTorch) utilizes modern tooling in the ML space, including some that we’ve developed in-house. • We write high-quality, typed, Zen code.
Requirements
• 3+ years developing deep learning models in PyTorch, TensorFlow or JAX, include 1+ years in a production environment. • Experience fine-tuning language models, like Llama. • A demonstrated track record of excellence, including coming up with new ideas or improving upon existing ideas in machine learning. • Experience with software engineering best practices and have a deep appreciation for what good code looks like. • You're fast-paced and pragmatic. You'd rather prove out an idea through quick MVP code than present a slide deck to explain it. • You can explain complex ideas to non-technical people • You understand why deep learning is magic.
Benefits
• Competitive compensation (90th percentile) • Hybrid environment, highly collaborative, fast-paced culture • Work with a crazy passionate team that cares deeply about the impact of our work on mental health, especially in a post-AGI world
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