Staff Machine Learning Engineer

🕒 September 3

🏄 California – Remote

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💵 $170k - $245k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 20%

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Logo of BetterHelp

BetterHelp

1 - 10 employees

Founded 2013

🏥 Healthcare

⚕️ Healthcare Insurance

🧘 Wellness

Healthcare • Healthcare Insurance • Wellness

BetterHelp is the world's largest online therapy service, offering professional, licensed, and vetted therapists to help with a range of issues including depression, anxiety, relationships, trauma, and more. The platform allows users to communicate with therapists via text, chat, phone, and video sessions, providing convenience and flexibility similar to traditional in-office therapy. BetterHelp matches users with licensed providers such as psychologists, licensed professional counselors, and clinical social workers, and offers therapy solutions for individuals, couples, and teens.

📋 Description

• Design, prototype and productionize scalable machine learning and optimization models • Set up best practices in machine learning and set 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 a model deployment platform that simplifies 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 and build ML engineering solutions that unlock new ML modeling capabilities for BetterHelp • Collaborate with Data Engineers, Software Engineers, Product Managers, and the Director of ML/Data Engineering

🎯 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 • Any piece of hardware or software that will make you happy and productive • Performance bonus • Extensive benefits listed in the Teladoc Health Benefits 2026 document • Travel expenses covered for required office visits and company offsite • Reasonable accommodations for those under unique circumstances who cannot travel

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