Sr. Machine Learning Engineer
Austin, Texas, United States
USD 160K-203K (estimate) Senior-level Full Time
Tasks
- Build RESTful and event driven APIs
- Build and optimize recommender systems and personalization
- Collaborate to define API contracts and scalable solutions
- Contribute to technical roadmap and reduce technical debt
- Design and build ML model integration with production APIs
- Design and maintain data pipelines
- Develop GraphQL APIs and federated subgraphs
- Develop LLM and RAG based GenAI services
- Drive API design best practices and versioning
- Implement MLOps workflows for model deployments
- Mentor engineers on MLOps and GraphQL patterns
- Optimize service performance for low latency and high availability
- Serve as technical lead for consumer facing ML initiatives
Perks/Benefits
- Company 401k match
- Financial Planning Sessions
- Flexible time off
- Free snacks
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid volunteer time off
- Student debt retirement savings match
- Tuition reimbursement
Skills/Tech-stack
AWS Lambda | Amazon EC2 | Amazon EKS | Amazon S3 | Argo Workflows | ArgoCD | CI/CD | Data Pipelines | Event Driven | Event-driven architecture | Federated GraphQL | Generative AI | GraphQL | Kubernetes | LLM | Learning operations | MLOps | Machine Learning | Machine Learning Operations | Metaflow | Personalization | RAG | REST | Recommender Systems | Retrieval-Augmented Generation | Search & Ranking
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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