Nift is looking to build the data and ML platform that powers product decisions and production models to disrupt performance marketing and deliver millions of new customers to brands.
Requirements
- Strong coding, debugging, performance analysis, testing, and CI/CD discipline; reproducible builds
- Production experience on AWS, Docker + Kubernetes (EKS/ECS or equivalent)
- Terraform or CloudFormation for managed, reviewable environments
- Expert SQL, data modeling, schema design, modern orchestration (Airflow/Step Functions) and ETL tools
- MLflow/SageMaker (or similar) with a track record of production ML pipelines
- Databricks, Redshift and lake formats (Parquet)
- Data/ML monitoring (quality, drift, performance) and pipeline alerting
Responsibilities
- Design and implement our data storage strategy (warehouse, lake, transactional stores) with scalability, reliability, security, and cost in mind
- Build and maintain robust data pipelines (batch/stream), including orchestration, testing, documentation, and SLAs
- Productionize training and inference (batch/real-time), establish CI/CD for models, data/versioning practices, and model governance
- Centralize feature generation (e.g., feature store patterns), manage model registry/metadata, and streamline deployment workflows
- Implement monitoring for data quality, drift, model performance/latency, and pipeline health with clear alerting and dashboards
- Optimize compute/storage (e.g., spot, autoscaling, lifecycle policies) and reduce pipeline fragility
- Refactor research code into reusable components, enforce repo structure, testing, logging, and reproducibility
Other
- 5+ years in data engineering/MLOps or related fields, including ownership of data/ML infrastructure for large-scale systems
- Excellent communication, comfortable working with data scientists, analysts, and engineers in a fast-paced startup
- Proactive and self-driven with a strong sense of initiative; takes ownership, goes beyond expectations, and does what’s needed to get the job done
- Flexible remote work
- Unlimited Responsible PTO
