Machine Learning Performance Engineer (2025)

Optiver US LLC; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking trading firm as a Machine Learning Performance Engineer, where you'll play a crucial role in enhancing AI initiatives that significantly impact futures trading strategies. In this dynamic environment, you will build robust training and inference pipelines, dive into the internals of deep learning frameworks, and collaborate closely with talented professionals from around the globe. With a strong focus on continuous improvement, you will not only tackle performance bottlenecks but also gain a deep understanding of trading systems. This role offers an unmatched performance-based bonus structure and a supportive culture that encourages ownership and innovation. If you are passionate about technology and want to make a real difference, this opportunity is for you.

Benefits

25 paid vacation days

Fully paid health insurance

Daily breakfast and lunch

401(k) match up to 50%

Charitable match opportunities

Regular social events and clubs

Qualifications

• Expertise in deep learning frameworks and programming in C++ and Python.
• Deep understanding of computer architecture and performance optimization.

Responsibilities

• Build scalable training and inference pipelines for deep learning.
• Collaborate with researchers to enhance deep learning frameworks.

Skills

Deep Learning Frameworks

Computer Architecture

C++ Programming

Python Programming

Tools

PyTorch

JAX

TensorFlow

CUDA

Job description

Optiver is seeking a Machine Learning Performance Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.

Who we are:

Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates.

What you'll do:

1. Build scalable and robust training and inference pipelines for deep learning.
2. Dive into internals of open-source deep learning frameworks and enhance their functionality.
3. Identify and eliminate performance bottlenecks.
4. Collaborate closely with researchers and other engineers.
5. Develop an in-depth understanding of trading systems.

What you’ll need:

1. Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
2. Deep understanding of computer architecture.
3. Experience in programming in C++ and Python.

Nice to have:

1. Experience with JAX ecosystem (XLA, Flax, etc.).
2. Experience in programming for GPUs or other accelerators (CUDA, Triton, Pallas, etc.).
3. Experience with large-scale distributed training.
4. Contributions to open-source projects related to data science and machine learning.

What you’ll get:

1. Work alongside best-in-class professionals from over 40 different countries.
2. Performance based bonus structure that is unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool fostering a truly collaborative environment to work in.
3. Ownership over initiatives that directly solve business problems.

Alongside this, you will get great benefits such as 25 paid vacation days and market holidays, fully paid health insurance, daily breakfast and lunch, training opportunities, 401(k) match up to 50% and charitable match opportunities, regular social events and clubs, and many more.

At Optiver, we are committed to creating a diverse and inclusive environment of mutual respect. Optiver recruits, employs, trains, compensates and promotes regardless of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.