Machine Learning Performance Engineer

Company Summary: A leading tech-driven trading firm is seeking a Machine Learning Performance Engineer to join a pivotal AI initiative in New York City. This role offers the opportunity to make a significant impact on machine learning infrastructure, training, and inference challenges that directly support advanced trading strategies.

Key Responsibilities

• Build scalable and robust training and inference pipelines for deep learning models.
• Dive into the internals of open-source deep learning frameworks and enhance their functionality.
• Identify and eliminate performance bottlenecks across systems.
• Collaborate closely with researchers and engineers to optimize workflows.
• Develop a deep understanding of trading systems and their integration with ML solutions.

Key Qualifications

• Expertise in the internals of deep learning frameworks such as PyTorch, JAX, TensorFlow, etc.
• Strong understanding of computer architecture.
• Proficiency in C++ and Python programming.

Nice to Have

• Experience with the JAX ecosystem (XLA, Flax, etc.).
• Programming experience for GPUs or other accelerators (CUDA, Triton, Pallas, etc.).
• Linux system programming skills.
• Familiarity with large-scale distributed training.
• Contributions to open-source projects in data science or machine learning.

What You'll Get

• Work alongside top-tier professionals from over 40 countries.
• A performance-based bonus structure that fosters collaboration and rewards impact.
• Ownership of initiatives that directly solve business problems.
• Generous benefits including:
• 25 paid vacation days plus market holidays
• Daily breakfast and lunch
• Training and development opportunities
• Charitable match programs
• Regular social events and clubs