Staff Machine Learning Engineer

BetterHelp is an online therapy service focused on making mental health care more accessible. The Staff Machine Learning Engineer will design and productionize machine learning and optimization models, build scalable ML infrastructure, and partner with data scientists, engineers, and product managers to expand machine learning capabilities across the business.

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
• Comfortable working in fast-paced, high-growth, and agile environments
• Candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel
• Interest in mentoring junior machine learning engineers and data scientists