drjobs Machine Learning Researcher

Machine Learning Researcher

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1 Vacancy
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Job Location drjobs

Boulder, CO - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago with a satellite office in Boulder Colorado. Our teams work hard to provide liquidity to the market through their marketmaking activities by combining their deep expertise in commodities interest rates exchangetraded funds (ETFs) and equity index options with a cuttingedge technological system. Our trading models and software systems are continually developed optimized and upgraded in order to stay competitive in an everchanging market. We work closely with our technology team to continuously and iteratively improve our proprietary solutions.
Highperformance proprietary development is the source of our success and competitive advantage at Belvedere further fueling our passion for performance. We are a team driven by intellectual curiosity seeking answers that will change not only how we trade in this technological age but also the future landscape of the trading industry. We place a high premium on defining developing and deploying highperformance trading software using a teambased holistic development approach. We are looking for passionate team members whose contributions will be critical to our continued success.

This role is focused on developing and refining selfadaptive feedbackdriven models that can learn from and react to rapidly changing environments potentially replacing or augmenting human decisionmaking. Youll be joining a collaborative team of researchers and engineers working on cuttingedge ML applications in a highimpact domain. If you thrive in a fastpaced environment and have a passion for solving complex challenges wed love to hear from you.

What youll do

    • Research and develop machine learning models for realtime closedloop systems with feedback
    • Embrace the uncertainty persistent in the marketplace to balance the riskreward in each individual trade
    • Design and test adaptive algorithms capable of evolving with incoming data and shifting regimes
    • Build models that simulate or replace human decisionmaking in complex uncertain systems
    • Integrate control theory principles to improve model stability responsiveness and robustness
    • Collaborate with engineers to deploy research into production environments with realtime constraints
    • Continuously iterate and improve models based on system performance and market dynamics
    • Communicate findings and methodologies clearly with other researchers engineers and stakeholders
    • Develop best machine learning practices for larger quantitative group

What youll need

    • Ph.D. in Computer Science Engineering Applied Mathematics or a related quantitative field
    • 5 years of experience applying machine learning in feedbackloop systems robotics autonomous decisionmaking or control systems
    • Familiarity in dealing with uncertainty in problem statements
    • Strong knowledge of machine learning algorithms especially in reinforcement learning online learning or adaptive control with practical experience deploying ML models in production
    • Solid programming skills in Python (preferred) and experience with ML libraries like PyTorch TensorFlow or JAX
    • Strong analytical thinking and a track record of tackling openended systemslevel problems
    • Demonstrated ability to work with Data Engineers to deliver robust data pipelines
    • Financial market knowledge is a plus but not required (we value technical depth and research excellence first and foremost)
    • Active team player motivated by a fastpaced environment and conviction to focus on difficult longduration problems that require iteration
    • Availability to work in a hybrid structure out of our Chicago or Boulder offices
$140000 $240000 a year
Additionally certain positions at Belvedere Trading are eligible for discretionary bonuses. Our employees have access to a variety of benefits which can be found on our website here.



Employment Type

Full-Time

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