Machine Learning Engineer

BetterHelp is a leading online counseling platform that provides accessible, affordable, and convenient mental health services through licensed therapists via messaging, live chat, phone, and video sessions. Founded in 2013, the company aims to remove barriers to mental health care by leveraging technology to connect individuals with professional support anytime and anywhere. BetterHelp serves a global client base and offers personalized therapy tailored to individual needs, promoting mental wellness and emotional support. As part of the telehealth industry, BetterHelp has positioned itself as a trusted resource for mental health, emphasizing privacy, flexibility, and quality care.

BetterHelp is seeking a Staff Machine Learning Engineer to join the Data team to drive impactful ML-driven initiatives that power products and improve outcomes for users. The role involves designing, prototyping, and productionizing scalable machine learning and optimization models; developing frameworks, pipelines, libraries, utilities and tools to process large-scale data for ML tasks; building model deployment platforms and end-to-end reusable pipelines from data acquisition to model output delivery; partnering with data scientists to troubleshoot and optimize complex data pipelines; and collaborating with product managers and business partners to gather model requirements. The position also includes setting ML best practices and direction for the ML platform and mentoring junior data scientists and engineers.

Lead design and productionization of scalable machine learning and optimization models and platforms to power BetterHelp products and improve user outcomes.

Staff Machine Learning Engineer

United States

BetterHelp is seeking a Staff Machine Learning Engineer to join the Data team to drive impactful ML-driven initiatives that power products and improve outcomes for users. The role involves designing, prototyping, and productionizing scalable machine learning and optimization models; developing frameworks, pipelines, libraries, utilities and tools to process large-scale data for ML tasks; building model deployment platforms and end-to-end reusable pipelines from data acquisition to model output delivery; partnering with data scientists to troubleshoot and optimize complex data pipelines; and collaborating with product managers and business partners to gather model requirements. The position also includes setting ML best practices and direction for the ML platform and mentoring junior data scientists and engineers.Requirements:<ul><li> 6+ years of experience in machine learning</li><li> Proven experience deploying and integrating machine learning models into production systems</li><li> Strong expertise in machine learning techniques, including deep learning, neural networks, statistical modeling, tree-based methods, boosting, regression, and dimensionality reduction</li><li> Extensive experience building personalization and recommendation systems</li><li> Working knowledge of operations research concepts such as mathematical modeling, linear and integer programming, and discrete event simulation</li><li> Familiarity with large language models, fine-tuning methods, and reinforcement learning from human feedback (RLHF)</li><li> Solid foundation in computer science fundamentals, including object-oriented programming, data structures, and algorithms</li><li> Advanced proficiency in Python and SQL</li><li> Excellent written and verbal communication skills</li><li> Experience developing data pipelines and machine learning libraries/tools</li><li> Eagerness to learn and adopt new technologies</li><li> Interest in mentoring junior machine learning engineers and data scientists</li><li> Comfortable working in fast-paced, high-growth, and agile environments</li></ul>Benefits:<ul><li> Remote work with regular in-person bonding experiences sponsored by the company</li><li> Competitive compensation</li><li> Holistic perks program (including free therapy, employee wellness, and more)</li><li> Excellent health coverage</li><li> Excellent dental coverage</li><li> Excellent vision coverage</li><li> 401k benefits with employer matching contribution</li><li> Travel expenses covered for required in-person meetings</li><li> Company-sponsored offsite</li><li> Any piece of hardware or software that will make you happy and productive</li><li> An awesome community of co-workers</li><li> Performance bonus eligibility</li><li> Extensive Teladoc Health benefits (per eligibility) for 2026</li></ul>

BetterHelp

Staff Machine Learning Engineer Lead design and productionization of scalable machine learning and optimization models and platforms to power BetterHelp products and improve user outcomes. BetterHelp is seeking a Staff Machine Learning Engineer to join the Data team to drive impactful ML-driven initiatives that power products and improve outcomes for users. The role involves designing, prototyping, and productionizing scalable machine learning and optimization models; developing frameworks, pipelines, libraries, utilities and tools to process large-scale data for ML tasks; building model deployment platforms and end-to-end reusable pipelines from data acquisition to model output delivery; partnering with data scientists to troubleshoot and optimize complex data pipelines; and collaborating with product managers and business partners to gather model requirements. The position also includes setting ML best practices and direction for the ML platform and mentoring junior data scientists and engineers. Machine Learning Engineer AI Engineer BetterHelp Mental Health Care Telehealth Online Therapy Health and Wellness Python SQL deep learning neural networks statistical modeling tree-based methods boosting regression dimensionality reduction recommendation systems personalization operations research linear programming integer programming discrete event simulation large language models fine-tuning reinforcement learning from human feedback (RLHF) California

As a Staff Machine Learning Engineer you will design, prototype, and productionize scalable ML and optimization models and build ML platforms and pipelines. You will collaborate with data scientists, engineers, and product managers to scale ML efforts and mentor junior team members.

Product Data Scientist

Talkiatry is a telepsychiatry company dedicated to providing accessible, high-quality mental health care through virtual platforms. Founded in 2019, the company connects patients with licensed psychiatrists and therapists via video consultations, aiming to reduce barriers to mental health treatment. Talkiatry's mission is to improve mental health outcomes by leveraging technology to offer convenient, affordable, and personalized psychiatric care. The company serves a broad patient base across the United States and is recognized for its innovative approach to telemedicine in mental health.

We are looking for a Sr. Product Data Scientist to join our growing Data team in our Product organization. This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics. The ideal candidate is not only technically strong, but also proactive in uncovering opportunities, framing insights, and ensuring leaders have the context they need to make the right calls. We are looking for this individual to bring analytical thought leadership as we continue to rapidly grow and iterate on our product offerings across Talkiatry. You’ll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to improving patient engagement and clinical efficiency. You’ll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering and Design) as well as stakeholders across Operations, Clinical, and Finance. Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.

The Senior Product Data Scientist will lead data-driven insights and analytics to support product decisions and improve patient engagement at Talkiatry.

Senior Product Data Scientist

We are looking for a Sr. Product Data Scientist to join our growing Data team in our Product organization. This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics. The ideal candidate is not only technically strong, but also proactive in uncovering opportunities, framing insights, and ensuring leaders have the context they need to make the right calls. We are looking for this individual to bring analytical thought leadership as we continue to rapidly grow and iterate on our product offerings across Talkiatry. You’ll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to improving patient engagement and clinical efficiency. You’ll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering and Design) as well as stakeholders across Operations, Clinical, and Finance. Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.Requirements:<ul><li> 4+ years of experience in data science, analytics, or related fields, with a track record of delivering measurable business impact.</li><li> Advanced proficiency in Python (pandas, scikit-learn, statsmodels and all other common data science packages) and SQL; experience with modern data warehouses (Snowflake, Redshift, BigQuery).</li><li> Strong foundation in experimental design, causal inference, and statistical methods.</li><li> Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders.</li><li> Experience in DBT is a plus, but not required.</li><li> Experience on a Product growth team, where experimentation and opportunity identification were key aspects of the role, is a plus.</li><li> Strong applied experience in data science is essential; a Master’s or PhD in a quantitative field is a plus.</li></ul>Benefits:<ul><li> Excellent benefits: medical, dental, vision, effective day 1 of employment</li><li> 401K with match</li><li> Generous PTO plus paid holidays</li><li> Paid parental leave</li><li> Collaborative environment: be part of building something from the ground up at a fast-paced startup</li><li> Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands</li><li> It all comes back to care: we’re a mental health company, and we put our team’s well-being first</li></ul>

Talkiatry

Senior Product Data Scientist The Senior Product Data Scientist will lead data-driven insights and analytics to support product decisions and improve patient engagement at Talkiatry. We are looking for a Sr. Product Data Scientist to join our growing Data team in our Product organization. This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics. The ideal candidate is not only technically strong, but also proactive in uncovering opportunities, framing insights, and ensuring leaders have the context they need to make the right calls. We are looking for this individual to bring analytical thought leadership as we continue to rapidly grow and iterate on our product offerings across Talkiatry. You’ll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to improving patient engagement and clinical efficiency. You’ll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering and Design) as well as stakeholders across Operations, Clinical, and Finance. Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. Product Data Scientist Analyst Talkiatry Mental Health Care Telemedicine Healthcare Python SQL Snowflake Redshift BigQuery

As a Senior Product Data Scientist, you will own projects that guide strategic decisions through data analysis and experimentation. You will collaborate with cross-functional teams to enhance product offerings and patient care.

Unknown Position

BetterHelp is on a mission to make mental health care more accessible worldwide. As a Staff ML/AI Platform Engineer, you will be responsible for building and scaling AI/ML models, developing frameworks and pipelines, and deploying models into production. You will collaborate with data scientists, ML engineers, and product teams to optimize ML workflows and create reusable solutions. The role offers the opportunity to lead machine learning efforts, mentor junior staff, and influence the company's AI strategy. The position is fully remote, with occasional travel to San Jose, CA. The company emphasizes work-life balance, professional growth, and a supportive community.

Join BetterHelp as a Staff ML/AI Platform Engineer to develop scalable AI/ML models and infrastructure.

BetterHelp is on a mission to make mental health care more accessible worldwide. As a Staff ML/AI Platform Engineer, you will be responsible for building and scaling AI/ML models, developing frameworks and pipelines, and deploying models into production. You will collaborate with data scientists, ML engineers, and product teams to optimize ML workflows and create reusable solutions. The role offers the opportunity to lead machine learning efforts, mentor junior staff, and influence the company's AI strategy. The position is fully remote, with occasional travel to San Jose, CA. The company emphasizes work-life balance, professional growth, and a supportive community.Requirements:<ul><li> 3+ years of experience in machine learning platform systems</li><li> Experience with autoscaling, and autoscaling such as load balancing</li><li> Solid understanding of distributed computing and proven experience with them</li><li> Superb written and oral communication skills</li><li> Experience integrating ai/machine learning models in production</li><li> Strong background in shell or bash scripting</li><li> Experience building CICD pipelines</li><li> Experience with infrastructure as service tools such as terraform, cloud formation</li><li> Experience working with AWS Lambda, ECS, ECR, Sagemaker or other cloud based platforms</li><li> Prior experience in production deployments on AWS Lambda, Fargate, EMR, or Airflow</li><li> Experience with development environment and deployments using Docker</li><li> Strong knowledge of computer science fundamentals, including object oriented programming, data structures, and algorithms</li><li> Experience in writing data pipeline and machine learning libraries and utilities</li><li> Willingness to learn new technologies</li><li> Willingness to mentor junior ml engineers and data scientists</li><li> Comfortable in a high-growth, fast-paced and agile environment</li></ul>Benefits:<ul><li> Remote work with regular in-person bonding experiences sponsored by the company</li><li> Competitive compensation</li><li> Holistic perks program (including free therapy, employee wellness, and more)</li><li> Excellent health, dental, and vision coverage</li><li> 401k benefits with employer matching contribution</li><li> The chance to build something that changes lives – and that people love</li><li> Any piece of hardware or software that will make you happy and productive</li><li> An awesome community of co-workers</li></ul>

Unknown Position Join BetterHelp as a Staff ML/AI Platform Engineer to develop scalable AI/ML models and infrastructure. BetterHelp is on a mission to make mental health care more accessible worldwide. As a Staff ML/AI Platform Engineer, you will be responsible for building and scaling AI/ML models, developing frameworks and pipelines, and deploying models into production. You will collaborate with data scientists, ML engineers, and product teams to optimize ML workflows and create reusable solutions. The role offers the opportunity to lead machine learning efforts, mentor junior staff, and influence the company's AI strategy. The position is fully remote, with occasional travel to San Jose, CA. The company emphasizes work-life balance, professional growth, and a supportive community. Unknown Position Developer Relations (DevRel) BetterHelp Mental Health Care Telehealth Online Therapy Health and Wellness AWS Lambda ECS ECR Sagemaker Fargate EMR Airflow Docker terraform cloud formation shell bash data pipelines object oriented programming data structures algorithms

BetterHelp is seeking a Staff ML/AI Platform Engineer to lead the development and deployment of machine learning models and platforms. The role involves designing scalable solutions, mentoring junior staff, and working closely with cross-functional teams in a remote, fast-paced environment.

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