ML Engineer - NinjaTrader
Chicago, IL
About the Job
JOIN US ON OUR MISSION TO BECOME THE #1 RETAIL TRADING PLATFORM IN THE WORLD
Welcome to the dynamic world of NinjaTrader! As an industry-leading trading platform and futures broker, we're on a mission to empower traders to take control of their financial destiny. How do we do it? We provide cutting-edge products and services that enhance the trading journey. Whether a seasoned pro or just starting out, NinjaTrader equips traders with award-winning software and brokerage services to navigate the world's leading financial markets with confidence.
Our growth story is nothing short of exhilarating. Over the last 20 years, NinjaTrader has been dedicated to understanding and supporting traders on their journey toward trading triumph. In the last 5 years alone, our user base has grown by 400% to over 2 million users and we have become the number one rated futures brokerage worldwide.
But we're not stopping there. We're constantly evolving, pushing boundaries, and modernizing the futures industry. Our commitment to innovation means users will always have access to dynamic tools, real-time support, and a community of like-minded traders.
So, why work at NinjaTrader? Here, you're not just part of a team; you're part of a movement. We empower employees to reach new heights in their careers by providing a dynamic culture focused on social connection, professional development, and employee recognition initiatives. Sounds too good to be true? Take it from our employees.
Join us as we redefine what's possible in trading, advocate for our customers, and continue our journey toward becoming the world's top retail-focused trading platform in the world.
About You:
We are seeking a Machine Learning & Data Science Engineer who will design, implement, and optimize machine learning models while building scalable data pipelines. This role will require a deep understanding of both machine learning and data engineering principles to solve complex problems in product optimization, trading strategies, fraud detection, and predictive modeling.
What you'll do:
- Build, deploy, and maintain machine learning models for financial analytics, predictive insights, and recommendation systems.
- Explore opportunities to leverage generative AI to automate processes for users and internal stakeholders.
- Collaborate with cross-functional teams to integrate ML models into production environments.
- Develop and manage data pipelines for handling large volumes of structured and unstructured financial data.
- Ensure the accuracy, scalability, and performance of data architectures and ML models.
- Implement best practices in model governance, explainability, and risk mitigation.
- Perform model validation and retraining based on performance metrics and real-time feedback.
- Stay abreast of industry trends and research in AI, data science, and fintech.
What you need:
- Bachelor's/Master's in Computer Science, Data Science, or related field.
- 3+ years of experience in machine learning and data engineering.
- Expertise in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Strong experience with data pipeline tools (Airflow, Kafka) and cloud platforms (AWS, GCP, Azure).
- Proficiency in big data technologies (e.g., Spark, Hadoop) and data governance practices.
- Strong knowledge of futures trading or fintech systems is a plus.
- Experience deploying or incorporating generative AI or LLMs in production systems is a plus.
Bonus Points for:
- FinTech or Financial Services experience.
Our Core Benefits Include:
- Hybrid Schedule with Extra Remote Flexibility (Totalling over 55% remote time)
- Generous PTO
- 7 Paid Holidays Annually + 5 Conditional Holidays Annually
- 1 Service Day Annually
- 401k with 3.5% Company Match
- Health, Vision, Dental Coverage
- Life and Disability Insurance Covered 100% by NinjaTrader
- Flexible Spending Accounts for Transit and Parking
- Gym Membership
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
