Lead Machine Learning Engineer

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 for 2U.

• 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

• 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

• 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 of ($145,000 - $174,000) with potential bonus eligibility
• Opportunities for career advancement and professional development
• Inclusive and diverse work culture
• Remote work option with the possibility of working out of the HQ office in Lanham, MD
• Working US East Coast hours
• Occasional travel to Lanham, MD may be required