Staff Machine Learning Engineer

BetterHelp is on a mission to make mental health care more accessible, and they are seeking a Staff Machine Learning Engineer to join their growing Data team. In this role, you will design and build machine learning models, collaborate with cross-functional teams, and help define the future of their ML platform.

Responsibilities:

• Design, prototype and productionize scalable machine learning and optimization models
• Play a critical in setting up the best practices in machine learning, setting direction of the machine learning platform
• Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks
• Partner with data scientists to troubleshoot and optimize complex data pipelines
• Work with product managers and business partners to gather requirements for machine learning models
• Build model deployment platform that can simplify implementing new models
• Build end-to-end reusable pipelines from data acquisition to model output delivery
• Mentor and guide junior data scientists to deploy their models into production
• Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp

Requirements:

• 6+ years of experience in machine learning
• Proven experience deploying and integrating machine learning models into production systems
• Strong expertise in machine learning techniques, including deep learning, neural networks, statistical modeling, tree-based methods, boosting, regression, and dimensionality reduction
• Extensive experience building personalization and recommendation systems
• Working knowledge of operations research concepts such as mathematical modeling, linear and integer programming, and discrete event simulation
• Familiarity with large language models, fine-tuning methods, and reinforcement learning from human feedback (RLHF)
• Solid foundation in computer science fundamentals, including object-oriented programming, data structures, and algorithms
• Advanced proficiency in Python and SQL
• Excellent written and verbal communication skills
• Experience developing data pipelines and machine learning libraries/tools
• Eagerness to learn and adopt new technologies
• Interest in mentoring junior machine learning engineers and data scientists
• Comfortable working in fast-paced, high-growth, and agile environments