Affirm6 дней назад
Machine Learning Engineer II (Underwriting ML)
Зарплата не указана
РЫНОК
18 058 ₽медиана по профессии
Data Scientist · 9 вакансий с указанной зарплатой
12 500половина предложений: 13 417–20 00031 333
Работодатель не указал зарплату — сравните с рынком сами.
Remote Canada
Обязанности
- 01develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data
- 02build and scale feature pipelines and training datasets from proprietary and third-party signals
- 03prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls
- 04help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness
- 05instrument and monitor model and data health, and help define retraining/backtesting workflows
- 06collaborate across Engineering, Risk Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences
Требования
- 01total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field
- 02strong Python skills and experience writing production-quality code
- 03experience building and evaluating models for classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar)
- 04experience with a deep learning framework (PyTorch preferred)
- 05experience working with distributed data processing or parallel compute frameworks (Spark preferred; Ray/Dask or similar)
- 06experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms)
- 07proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows
- 08mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code
- 09comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews
- 10experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders
- 11strong verbal and written communication skills that support effective collaboration with our global engineering team
- 12requires either equivalent practical experience or a Bachelor’s degree in a related field
Условия
- 01Pay Grade - L
- 02Equity Grade - 5
- 03CAN base pay range per year: $133,000 - $183,000
- 04Location - Remote Canada
- 05remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan
- 06Affirm is proud to be a remote-first company
- 07Affirm covers all premiums for all levels of coverage for you and your dependents
- 08generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- 09competitive vacation and holiday schedules
- 10An employee stock purchase plan enabling you to buy shares of Affirm at a discount