Job description
Northstar AI Labs is seeking a Senior AI Engineer to join our Seattle-based team. You will lead the design and delivery of production-ready AI systems that solve real-world problems for enterprise clients. This role blends research, engineering, and product impact in a fast-paced, collaborative environment.
As part of our team, you will work across a modern stack and apply best practices in model development, data engineering, and ML operations to drive business value while maintaining high standards for reliability and ethics.
Responsibility
- Lead design and development of scalable machine learning and AI systems that power customer-facing products.
- Collaborate with product managers and data scientists to translate complex business problems into robust ML solutions.
- Architect end-to-end data pipelines, feature stores, model training, evaluation, and deployment.
- Optimize models for latency, throughput, cost, and reliability in production environments.
- Mentor and guide junior engineers; contribute to code reviews, architecture decisions, and best practices.
- Drive MLops initiatives including CI/CD for models, monitoring, governance, and performance tracking.
- Stay at the forefront of AI research, run experiments, and communicate results to stakeholders.
Qualification
- Master's degree in computer science, AI, machine learning, or a related field (PhD a plus).
- 5+ years of industry experience building and deploying AI/ML systems with a track record of shipped projects.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow, plus experience with scikit-learn.
- Strong data engineering skills including SQL, Spark, data warehousing, and feature store concepts.
- Hands-on experience deploying models to production and moderating model performance in cloud environments (AWS, GCP, or Azure).
- Familiarity with ML Ops tools, containerization (Docker), orchestration (Kubernetes), and monitoring/alerting.
- Excellent communication, collaboration across product and engineering teams, and ability to mentor others.
- Publications, patents, or prior research contributions are a plus.