Machine Learning Engineer

What you'll do

• Develop and deploy scalable models for information extraction, data selection, and synthetic data generation across large datasets.
• Design and analyze experiments on large language models and lead research projects, including cross-functional initiatives.
• Build data tooling to improve workflow velocity, reliability, and scalability.

What they ask for

• 4+ years of experience with LLMs, LMMs, computer vision, or related AI/ML technologies.
• Experience developing and evaluating ML models, building large-scale ML systems, and using distributed data processing frameworks.
• Strong programming skills and hands-on experience with a deep learning framework such as PyTorch, TensorFlow, or JAX.
• Master's degree or Ph.D. in a related field, or equivalent industry experience.

Nice to have

• Experience advancing state-of-the-art LLMs or LMMs and deploying models for production-scale inference.
• Experience with Transformers, mixture-of-experts (MoE), multimodal models, or publications/significant industry impact in AI.

Pay

$216,200 and $324,800 (base salary)

Tools

PyTorch, TensorFlow, JAX, Transformers, mixture-of-experts (MoE)

AI focus

Pre-training data curation and model development for foundation models, including LLMs and multimodal models; research, data selection, synthetic data generation, and model evaluation.