Senior Backend, Data & ML Developer

You'll take technical ownership of our Backend, Data & ML team and lead the backend development team. You'll design and scale our backend services, APIs, and data systems, and bring data science and ML models into production. You'll also be the main technical link to the React Native and Next.js teams.

Responsibilities:

• Own backend architecture, API design, databases, and data infrastructure.
• Design and build data pipelines and data models for analytics and ML.
• Lead the implementation, deployment, and monitoring of ML models and data science algorithms in production.
• Work closely with the React Native and Next.js teams on API contracts, data flows, and ML/DS integrations.
• Mentor the backend and data team, review code, and set engineering standards along with the TPM.
• Ensure system reliability, security, scalability, and observability.
• Take part in the senior on-call rotation, including international paging.

Requirements:

• 6+ years of backend development, with significant data engineering experience.
• Strong expertise in Django, relational databases, and API design (REST/GraphQL).
• Hands-on experience building data pipelines.
• Some practical experience deploying ML models to production, including serving, versioning, monitoring, and retraining (MLOps).
• Some understanding of common data science algorithms and ML techniques.
• Experience with cloud infrastructure (AWS, GCP or Azure), containers and CI/CD.
• Experience leading or mentoring engineers.
• Excellent communication skills. You should be able to explain backend and data decisions clearly to mobile and web teams.
• Experience with the Python ML ecosystem (for example, scikit-learn, PyTorch, TensorFlow, or pandas).
• Experience with LLMs, recommendation systems, or real-time data processing.
• Experience with unstructured data
• Familiarity with Next.js or React Native.
• Familiarity with US data protection requirements and compliance laws, such as FERPA or COPPA.

Skills

Analytics, Backend, DWH, Data Engineering, Django, ETL, MLOps, Machine Learning, Pipelines, PyTorch, Python, Scikit-learn, TensorFlow