Machine Learning Engineer, Financial Services
hace 2 semanas
We are a technology-driven company specializing in unsecured credit solutions for underserved communities. Our innovative approach combines physical onboarding kiosks with a documentless 3-minute video onboarding process, providing a bridge to remote communities and offering liquidity to those in need.
This asset-light acquisition strategy, coupled with a superior risk model based on computer vision and natural language processing, enables us to offer the lowest interest rates available to today's underserved.
Job SummaryWe are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of innovative credit decision-making approaches. The ideal candidate will have a strong background in machine learning, experience working with tabular data, and a creative and strategic approach to solving complex problems.
Key Responsibilities- Design and develop machine learning models for credit decision-making, leveraging computer vision and natural language processing techniques.
- Collaborate with cross-functional teams to identify business problems and develop solutions.
- Work on ongoing projects, such as using our lie detector to inform loan decisions, and contribute to the development of new projects from concept to deployment.
- Stay up-to-date with industry trends and advancements in machine learning and risk modeling.
- Master's degree in a STEM field.
- At least 3 years of professional experience in machine learning, with a strong focus on tabular data.
- Excellent Python skills and familiarity with Git.
- Creative and strategic approach to solving complex problems.
- Verifiable track record of designing great machine learning models for tabular data.
- Experience in the financial industry and knowledge of auto-regressive models.
- Experience with end-to-end machine learning systems, cloud platforms, data pipelines, and model monitoring.
- Knowledge of our tech stack, including LightGBM, DVC, Pants, FastAPI, Docker, GitHub Actions, and TrueFoundry.
- Attractive compensation package with stock options.
- Fast-paced environment with many growth opportunities.
- Relocation package.
- 15 annual vacation days + 7 annual personal days.
- Possibility to work remote 3-4 days per week.
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