Senior Machine Learning Engineer
3 weeks ago
We are seeking a Senior Machine Learning Engineer to lead the development of a first-of-its-kind personalization service for healthcare. As the technical owner of this service, you will be responsible for the entire range of ML engineering, from literature reviews and paper research to architecture, design, implementation, and launch. You will work closely with engineers from other teams, product managers, designers, and user research to recommend solutions, define timelines, and solve customer problems.
Key Responsibilities:
- Develop and maintain the personalization service, ensuring it meets the highest standards of quality, reliability, and performance.
- Collaborate with cross-functional teams to design and implement new features and improvements.
- Ensure the service is scalable, secure, and compliant with industry standards.
- Mentor junior engineers and provide guidance on best practices and technologies.
- Stay up-to-date with industry trends and research, and apply this knowledge to drive innovation and improvement.
Requirements:
- Bachelor's Degree in Computer Science or equivalent experience.
- 8 years of experience building services at web scale.
- 4 years of experience with dependency injection and other core features, including design of RESTful microservices and cloud hosting.
- 4 years of experience with operational ownership of production services, including working with DevOps and/or SRE teams.
- 2 years of experience with performance testing, tuning, and analysis in SOA systems.
- 2 years of experience with Continuous Integration and Continuous Deployment methodologies.
Preferred Qualifications:
- Master's Degree or Ph.D. in Computer Science or equivalent experience.
- History of turning state-of-the-art ML research into production systems.
- Experience with research and/or productionalization of personalization and/or recommender systems.
- Entrepreneurial spirit and ability to build new systems from scratch.
- Intense curiosity and drive to continuously learn and grow.
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