Staff Machine Learning Engineer

Creditly-posted 6 months ago
Full-time • Senior
Remote • New York, NY
11-50 employees
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As a Staff Machine Learning Engineer, you will be responsible for building and maintaining our Machine Learning (ML) and Artificial Intelligence (AI) infrastructure, and to help our team build, deploy, and monitor ML and AI models and services. Additionally, you will provide hands-on technical leadership and mentorship for a growing team of AI/ML Engineers. The successful candidate will have a strong background in ML, and significant prior experience in delivering end-to-end Software Development projects. This role is expected to collaborate very closely with our AI/ML team as well as with Credit Genie's Engineering, Data Engineering, and Product teams.

  • Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company's ML/AI Engineering roadmap in collaboration with our leadership team.
  • Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences).
  • Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements.
  • Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team.
  • Have fun working on hard and highly impactful problems.
  • 8+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity.
  • Strong foundation in Software Development and prior experience leading impactful ML software projects.
  • Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability.
  • Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts).
  • Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features).
  • Proficiency in multiple programming languages beyond Python (e.g., TypeScript, Rust, Go).
  • Experience with the AWS cloud.
  • Experience with Snowflake.
  • Experience with ML/AI tools and frameworks (scikit-learn, PyTorch, Tensorflow, LangGraph/CrewAI/PydanticAI).
  • 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
  • Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness.
  • 401(k) with a 2.5% match and immediate vesting.
  • Meal program for breakfast, lunch, and dinner.
  • Life and accidental insurance.
  • Flexible PTO.
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