Machine Learning Research Engineer

Optiver; New York (NY); On-site; USD 200,000 - 230,000; Full time

Job summary

Optiver is seeking a Machine Learning Research Engineer to drive AI initiatives that enhance trading strategies. This role involves conducting research on deep learning, building robust pipelines, and collaborating with a diverse team in a tech-driven environment. Candidates should have a PhD and expertise in deep learning frameworks like PyTorch, JAX, or TensorFlow, along with Python proficiency.

Benefits

Highly competitive compensation package

Global profit-sharing and performance bonuses

401(k) match up to 50%

Comprehensive health, mental, dental, vision, disability, and life coverage

25 paid vacation days plus holidays

Office perks like meals, social events, clubs, and sports leagues

Qualifications

• PhD or equivalent experience in a relevant field.
• Expertise in deep learning models with PyTorch, JAX, or TensorFlow.
• Proficient in Python programming.

Responsibilities

• Conduct innovative research on deep learning for price forecasting.
• Build scalable and robust training and inference pipelines.
• Collaborate closely with researchers and engineers.

Skills

Deep learning models

Python programming

Large data sets

Education

PhD or equivalent experience

Tools

PyTorch

JAX

TensorFlow

Job description

Join to apply for the Machine Learning Research Engineer role at Optiver.

Optiver is seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role offers the opportunity to significantly impact Machine Learning infrastructure, training, and inference challenges to advance our trading strategies.

What you'll do:

• Conduct innovative research on deep learning for price forecasting
• Build scalable and robust training and inference pipelines for deep learning
• Enhance open-source deep learning frameworks and their functionalities
• Collaborate closely with researchers and engineers
• Develop an in-depth understanding of trading systems

What you’ll get:

Join a culture of collaboration and excellence, surrounded by curious thinkers and problem-solvers. Thrive in a supportive, high-performing environment with talented colleagues tackling tough challenges in financial markets.

Additional benefits include:

• Work alongside professionals from over 40 countries
• Highly competitive compensation package
• Global profit-sharing and performance bonuses
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days plus holidays
• Office perks like meals, social events, clubs, and sports leagues

Who you are:

• PhD or equivalent experience in a relevant field
• Expertise in deep learning models with PyTorch, JAX, or TensorFlow
• Proficient in Python programming
• Experience with large data sets in research

Nice to have:

• Experience with JAX ecosystem (XLA, Flax, etc.)
• GPU programming experience (CUDA, Triton, Pallas)
• Open-source contributions in data science and ML
• Strong publication record (NeurIPS, ICML, etc.)
• Deep understanding of ML frameworks internals
• Experience with distributed training
• C++ programming skills

About us:

Optiver is a tech-driven trading firm and global market maker, trusted across 70+ exchanges. Our mission is to improve markets by providing liquidity, transparency, and stability, ensuring efficient markets for all participants.

Diversity statement:

We are committed to diversity and inclusion.

Note: The base salary for this role is estimated at $200,000 USD, with final offers based on experience and performance. Compensation includes potential bonuses and benefits.