Machine Learning Research Engineer

Optiver is a seeking a Machine Learning Research 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.

What you'll do

As a Machine Learning Research Engineer, your key responsibilities include:

Conducting innovative research on deep learning for price forecasting

Building scalable and robust training and inference pipelines for deep learning

Diving into internals of open-source deep learning frameworks and enhance their functionality

Collaborating closely with researchers and other engineers

Developing an in-depth understanding of trading systems

What you’ll get

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

The opportunity to work alongside best-in-class professionals from over 40 different countries

A highly competitive compensation package

Global profit-sharing pool and performance-based bonus structure

401(k) match up to 50%

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

25 paid vacation days alongside market holidays

Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are

PhD or equivalent industry experience in a field related to machine learning

Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow

Experience in programming in Python

Experience in computationally intensive research on very large data sets

Nice to have

Experience with JAX ecosystem (XLA, Flax, etc.)

Experience in programming for GPUs or other accelerators (CUDA, Triton, Pallas, etc.)

Contributions to open-source projects related to data science and machine learning

Strong publication record at conferences like NeurIPS, ICML, etc.

Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.

Experience with large-scale distributed training

Experience in programming in C++

Who we are

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Below is the expected base salary for this position. This is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.

Base Salary Range

$200,000—$200,000 USD