Machine Learning Research Engineer
Optiver · New York, New York ·
- Category
- ML ai
- Company size
- 1000+
- Salary
- USD 200,000 / year
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Research and build deep-learning systems for price forecasting in a proprietary trading firm, using frameworks like PyTorch or JAX and optimizing training/inference pipelines.
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:
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:
Who you are
Nice to have
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 position will also be eligible for a discretionary bonus and Optiver’s benefits package with the benefits listed above.
eFinancialCareers · London