Full-Time

AI Engineer

Updated on 3/14/2025

DRW

DRW

1,001-5,000 employees

Proprietary trading and risk management firm

Compensation Overview

$175k - $300kAnnually

+ Bonus

Mid, Senior

Chicago, IL, USA

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
LLM
Python
Tensorflow
Pytorch
Machine Learning
Requirements
  • Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 3+ years of experience working with machine learning and artificial intelligence technology.
  • Strong understanding of core machine learning and artificial intelligence concepts.
  • Excellent programming skills in Python.
  • Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
  • Hands-on experience with MLOps and AIOps infrastructure and tooling.
  • Proficient in problem-solving and analytical reasoning.
  • Exceptional communication and collaboration skills.
  • Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX.
  • Experience with Large Language Models, including RAG and fine-tuning techniques.
  • Familiarity with compute infrastructure necessary to support operating AI and ML technology.
Responsibilities
  • Drive end-to-end development of AI infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
  • Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
  • Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
  • Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
  • Create and maintain feature pipelines, feature stores, and model stores.
  • Develop frameworks to enable scalable, reproducible research.
  • Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.

RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors distinguishes itself from competitors with its global presence and commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Company Size

1,001-5,000

Company Stage

M&A

Total Funding

N/A

Headquarters

Chicago, Illinois

Founded

2001

Simplify Jobs

Simplify's Take

What believers are saying

  • Machine learning algorithms enhance predictive accuracy and risk management in trading.
  • DeFi platforms offer new opportunities for higher returns in crypto-assets.
  • Quantum computing revolutionizes trading strategies with faster, complex data analysis.

What critics are saying

  • Increased competition from algorithmic trading firms may erode DRW's market share.
  • Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.
  • Talent war in tech and finance sectors may impact DRW's ability to retain top talent.

What makes DRW unique

  • DRW combines technology, research, and risk management for diversified trading opportunities.
  • They operate using their own capital, allowing quick pivots to capture opportunities.
  • DRW has expanded into real estate, venture capital, and crypto-assets.

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Benefits

Daily catered breakfast & lunch

Massages

Social events

Gym subsidy

Flexible work arrangements

Monthly tastings

Game room

On-site yoga classes and meditation

Employee led affinity groups

Mentor/mentee outings

Trivia nights

Educational opportunities

DRW-sponsored sports teams

Poker tournament

Private mother's suite