Senior Engineer in ML Infrastructure Development

Transform machine learning capabilities with Preference Model as a Senior Engineer focused on ML infrastructure. Engage in developing scalable systems for advanced AI research.
This Senior ML Infrastructure Engineer role emphasizes designing robust architectures that enhance the efficiency of post-training large language models. You will develop internal tooling, establish benchmarking infrastructures, and partner with researchers to refine their needs into actionable requirements. Play a pivotal role in enhancing ML research outcomes.

Key Responsibilities:

• Design infrastructure for post-training research on ML models

• Maintain and develop tooling for reproducible experimentation

• Create evaluation and debugging support systems

• Collaborate directly with research teams for timely feedback
Requirements:

• Strong foundation in software engineering and infrastructure

• Hands-on experience with ML frameworks like PyTorch or JAX

• Solid understanding of cloud systems and distributed principles

• Experience with data pipelines and engineering practices

• Familiarity with LLM internals is advantageous
Be part of an innovative startup leading the way in machine learning advancements.
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