Lead Machine Learning Engineer
Launch PotatoFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $155K - $185K.
This is a remote-first role with travel expected for company offsites at a minimum 2 times a year.
Requirements include a BS degree in engineering, computer science, finance or mathematics, 4+ years in data mining, machine learning, statistical analysis or predictive modeling, strong Python and SQL skills, experience with ML packages like scikit-learn, LightGBM, XGBoost, and comfort working with cross-functional partners.
You'll work within a talented DS team on Tilt Cash Advance and Thrive Line of Credit products, collaborating closely with engineering, operations, product, credit, and business teams in a remote-first company that holds regular offsites.
A strong candidate has 4+ years of experience building predictive models from scratch, deep knowledge of statistics and ML techniques, strong Python/SQL skills, experience with ML libraries like scikit-learn and XGBoost, and excels at solving complex problems while collaborating cross-functionally.
Provides personalized investment strategies and services
Arta Finance provides tailored investment solutions for a variety of clients, including individual investors and institutional entities. The company focuses on creating personalized investment strategies that align with the specific financial and tax needs of its clients. Revenue is generated primarily through management fees for overseeing investment portfolios and transaction fees for executing trades. Arta Finance promotes a client-centric approach, encouraging clients to evaluate investment opportunities based on their own objectives and risk tolerance. While the company offers expert advice, it does not guarantee the success of its strategies, emphasizing the risks involved in investing. Additionally, it advises clients to consult tax professionals to consider tax implications before making investment decisions.