DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a Machine Learning Operations Specialist, you will be an integral member of a collaborative trading team. You will work on deploying, monitoring and managing machine learning (ML) and artificial intelligence (AI) models in production. You will also help build critical infrastructure and tooling that leverages ML and AI technology to enhance productivity and efficiency.
Key Responsibilities:
* Deploy, manage and monitor ML and AI models in production.
* Help drive development of ML infrastructure and AI driven applications.
* Collaborate with software developers, researchers, traders and research scientists.
* Implement automated systems for training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
* Create and maintain feature pipelines, feature stores, and model stores.
* Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.
Qualifications:
* Bachelor’s degree in a quantitative field such as Computer Science or related fields.
* Good programming skills in Python.
* Hands-on experience with infrastructure and tooling.
* Proficient in problem-solving and analytical reasoning.
* Exceptional communication and collaboration skills.
* Familiarity with compute infrastructure necessary to support operating ML technology.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
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DRW Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DRW and has not been reviewed or approved by DRW.
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Career-Linked Recognition & Rewards — Pay is considered competitive to strong in revenue-adjacent roles, with substantial cash components that reward performance. Feedback suggests totals can be compelling when teams and markets perform well.
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Wellbeing & Lifestyle Benefits — Day-to-day perks such as daily catered meals, wellness offerings, and on-site amenities are consistently highlighted. These office-centric benefits enhance the overall value of the package, especially in major hubs.
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Healthcare Strength — Core medical, dental, and vision coverage is described as comprehensive with broad networks under common plan options. Feedback suggests health coverage is a solid pillar of the total rewards.
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What We Do
A diversified trading firm that utilizes our own capital and trades at our own risk. We bring sophisticated technology and exceptional people together to solve complex problems in markets around the world and across many asset classes. We are motivated to compete at the highest level and commit to operate with respect, curiosity and an open mind.
Why Work With Us
The DRW approach is simple: tenure, experience and titles don’t matter as much as ideas, execution and results. We believe in creating opportunity to take on more complex problems, more interesting projects and more specialized skills. It’s a results-driven environment where friendships grow and respect is the norm.
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