Job description
Join a leading AI-focused team in Seattle. You will champion end-to-end AI solutions from research to production, partnering with product, data, and engineering teams to deliver measurable impact.
We’re seeking a hands-on engineer who can blend ML research with production-ready software delivery, driving scalable and reliable AI systems.
Responsibility
- Design, implement, and optimize machine learning models for production-ready deployment.
- Develop and maintain scalable data pipelines and feature stores to support ML workloads.
- Experiment with state-of-the-art ML techniques to improve product metrics.
- Collaborate with software engineers to integrate AI components into services and apps.
- Monitor, evaluate, and retrain models to ensure performance and reliability.
- Mentor junior engineers and contribute to best practices in model governance and MLOps.
Qualification
- MS or PhD in Computer Science, AI, ML, or related field; 5+ years of industry experience.
- Proficiency in Python with hands-on experience using PyTorch or TensorFlow.
- Strong knowledge of ML algorithms, DL architectures, and evaluation methods.
- Experience with data processing frameworks (Pandas, Spark) and feature stores.
- Cloud platform experience (AWS, GCP, or Azure) and MLOps tooling.
- Excellent communication skills and ability to work cross-functionally.
- Experience with Git, CI/CD, Docker, and Kubernetes.