Lead Machine Learning Engineer
2U
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Posted:
August 22, 2023
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Remote
About the position
As a lead ML Engineer at 2U, you will play a crucial role in improving revenue operations by leveraging analytics, experimentation, and modeling. You will collaborate with cross-functional teams to uncover new opportunities, design and analyze experiments, and deliver solutions with a significant business impact. Your responsibilities will include designing and managing scalable ML infrastructure, building pipelines for ML models, and addressing data quality and system scalability issues. This high-impact role will allow you to influence product and marketing decisions and drive growth and engagement at 2U.
Responsibilities
- Architecture and design of engineering solutions around Machine Learning products
- Building pipelines to productionize ML Models and workflows
- Designing, implementing, and managing scalable ML infrastructure for Data Science
- Maintaining and developing tools for 2U-specific Data Science applications
- Collaborating with Data Science and Engineering teams to identify and address issues related to data quality, model performance, and system scalability
- Working with other Engineering Leads to design cross-domain architecture and data streaming
- Monitoring and maintaining ML systems to ensure high availability, reliability, and performance
- Developing and maintaining automated testing and monitoring processes
- Participating in code reviews and contributing to the development of best practices for ML infrastructure and operations
- Mentoring and helping develop engineers
- Assisting in MLE roadmap and timeline development
- Keeping up-to-date with industry best practices and emerging technologies
Requirements
- 8+ years of experience working with data pipelines, data warehousing, ML infrastructure and operations
- Experience with real-time streaming system and modeling
- Solid understanding of ML concepts
- Strong programming skills in Python and experience with ML frameworks
- Familiarity with containerization technologies such as Docker and Kubernetes
- Experience with CI/CD pipelines, automated testing and monitoring tools
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration skills
- Experience with Dataiku a plus
Benefits
- Comprehensive medical, dental, and vision coverage
- Life insurance, disability, and 401(k) employer match
- Employee stock purchase plan
- Free snacks and drinks in-office
- Generous paid holidays and leave policies, including unlimited PTO
- Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break
- Anticipated base salary range ($145,000 - $174,000) with potential bonus eligibility
- Commitment to diversity and inclusion
- Reasonable accommodations during the recruitment process
- Equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable laws.