Senior Machine Learning Engineer
Skills
Computer ScienceArtificial IntelligenceData ScienceEngineeringMachine LearningPattern RecognitionProgramming
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor or PhD in Data Science Artificial Intelligence Computer Science or Machine Learning
- 4+ years building or contributing to ML systems used in production
- Experience with embeddings retrieval ranking or recommendation systems
- Ability to ship end-to-end solutions not just models or analyses
- Strong programming skills in Python
- Strong data querying and manipulation skills with Pandas and SQL
- Comfort working across data modeling APIs and infrastructure
- Experience operating ML systems at meaningful scale
Nice to have
- Hands-on
- High-impact
- Fast-moving
- Collaborative
- Detail-oriented
- Pragmatic
Day to day
- Design and ship production-grade machine learning pipelines from raw data through model inference and orchestration.
- Build and deploy ML-powered APIs and services that support user-facing personalization search and recommendation features.
- Own the full ML lifecycle including experimentation deployment monitoring and iterative improvement while collaborating closely with leadership and peers.
- Create scalable reliable and observable ML infrastructure using AWS containerization EC2 and service orchestration.