[Hiring] Staff Machine Learning Engineer @BetterHelp

Role Description

As a Staff Machine Learning Engineer at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. You’ll help drive a range of impactful, ML-driven initiatives that power our products and improve outcomes for our users.

• Design, prototype and productionize scalable machine learning and optimization models
• Play a critical role 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

Benefits

• Remote work with regular in-person bonding experiences sponsored by the company
• Competitive compensation
• Holistic perks program (including free therapy, employee wellness, and more)
• Excellent health, dental, and vision coverage
• 401k benefits with employer matching contribution
• The chance to build something that changes lives – and that people love
• Any piece of hardware or software that will make you happy and productive
• An awesome community of co-workers