Headspace Sourcing
Staff Software Engineer, Machine Learning
Headspace Sourcing, San Francisco, California, United States, 94199
Staff Software Engineer, Machine Learning
About the Staff Software Engineer, Machine Learning at Headspace: Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and clinicians through the mindful application of Machine Learning. These applications include building conversational AI systems, healthcare assistance tools, and recommendation and personalization systems. You will be responsible for owning and delivering cutting edge language-based ML applications that power the core features of Headspace, including leading vision, alignment, development, deployment, and evangelization of these solutions. Location : We are currently hiring this role in San Francisco (hybrid), Los Angeles (remote), New York City (remote) and Seattle (remote). Candidates must permanently reside in the US full-time and be based in these cities. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model if within a 30 mile radius of office. You’ll work 3 days per week from our office, with remote work the rest of the week. What you will do
Technical Leadership:
Lead the development of complex, scalable AI models and applications from inception to production. Drive impactful ML technology initiatives that shape the delivery of mental healthcare. Serve as a go-to expert and mentor, exemplifying excellence in AI/ML engineering and inspiring technical career growth. Shape ML Platform Architecture:
Drive the design, development, and evolution of our internal ML platform, taking it from high-level vision to robust implementation. Collaborative Problem-Solving:
Partner with cross-functional teams to align technical decisions with organizational goals, ensuring cohesive and impactful solutions. Champion Code Quality:
Advocate for and contribute to high-quality engineering standards through rigorous code reviews and constructive, actionable feedback. What you will bring
Required Skills:
Bachelor of Science degree or higher in Computer Science, Statistics, Mathematics or a related field OR equivalent experience 5+ years of ML engineering experience in an academic or professional setting, programming in Python 5+ years of experience with any of the following fundamental technologies: vector search, embedding models, recommender systems, supervised/unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems 3+ years of experience with modern NLP tools and machine learning libraries (scikit-learn, PyTorch, TensorFlow, spaCy) Experience with unit, integration, and end-to-end testing, version control Strong problem solving and communication skills and ability to influence across internal organizations Mentorship of junior engineers and contribution to DEIB initiatives Preferred Skills:
Master’s degree in relevant field or equivalent experience Professional experience with clinical and/or healthcare applications of machine learning Familiarity with current ML literature including optimization methods and agent-based models Experience with implementation of robust and highly scalable services Experience with AWS, including SageMaker, Lambda, S3, DynamoDB, IAM Compensation : The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits. Salary ranges reflect geographic markets; individual compensation is determined by location and factors including relevant experience, skills, and education. Your recruiter will provide more details on the specific salary range for your location during the hiring process. Headspace offers a Total Rewards package including base salary, stock awards, healthcare coverage, wellness stipend, retirement match, and other benefits. About Headspace
Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and accessible whenever they need it. Our values are Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. Why You’ll Love Working Here : A mission that matters—with impact you can see and feel A collaborative, inclusive culture grounded in our values The chance to shape the future of mental health care Competitive pay and benefits that support your whole self Diversity, Equity, Inclusion and Belonging : Headspace is committed to a safe, welcoming environment free of discrimination and harassment. We are an equal opportunity employer and prohibit unlawful discrimination. See recruitment process for details about voluntary self-identification and DEIB initiatives.
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About the Staff Software Engineer, Machine Learning at Headspace: Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and clinicians through the mindful application of Machine Learning. These applications include building conversational AI systems, healthcare assistance tools, and recommendation and personalization systems. You will be responsible for owning and delivering cutting edge language-based ML applications that power the core features of Headspace, including leading vision, alignment, development, deployment, and evangelization of these solutions. Location : We are currently hiring this role in San Francisco (hybrid), Los Angeles (remote), New York City (remote) and Seattle (remote). Candidates must permanently reside in the US full-time and be based in these cities. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model if within a 30 mile radius of office. You’ll work 3 days per week from our office, with remote work the rest of the week. What you will do
Technical Leadership:
Lead the development of complex, scalable AI models and applications from inception to production. Drive impactful ML technology initiatives that shape the delivery of mental healthcare. Serve as a go-to expert and mentor, exemplifying excellence in AI/ML engineering and inspiring technical career growth. Shape ML Platform Architecture:
Drive the design, development, and evolution of our internal ML platform, taking it from high-level vision to robust implementation. Collaborative Problem-Solving:
Partner with cross-functional teams to align technical decisions with organizational goals, ensuring cohesive and impactful solutions. Champion Code Quality:
Advocate for and contribute to high-quality engineering standards through rigorous code reviews and constructive, actionable feedback. What you will bring
Required Skills:
Bachelor of Science degree or higher in Computer Science, Statistics, Mathematics or a related field OR equivalent experience 5+ years of ML engineering experience in an academic or professional setting, programming in Python 5+ years of experience with any of the following fundamental technologies: vector search, embedding models, recommender systems, supervised/unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems 3+ years of experience with modern NLP tools and machine learning libraries (scikit-learn, PyTorch, TensorFlow, spaCy) Experience with unit, integration, and end-to-end testing, version control Strong problem solving and communication skills and ability to influence across internal organizations Mentorship of junior engineers and contribution to DEIB initiatives Preferred Skills:
Master’s degree in relevant field or equivalent experience Professional experience with clinical and/or healthcare applications of machine learning Familiarity with current ML literature including optimization methods and agent-based models Experience with implementation of robust and highly scalable services Experience with AWS, including SageMaker, Lambda, S3, DynamoDB, IAM Compensation : The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits. Salary ranges reflect geographic markets; individual compensation is determined by location and factors including relevant experience, skills, and education. Your recruiter will provide more details on the specific salary range for your location during the hiring process. Headspace offers a Total Rewards package including base salary, stock awards, healthcare coverage, wellness stipend, retirement match, and other benefits. About Headspace
Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and accessible whenever they need it. Our values are Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. Why You’ll Love Working Here : A mission that matters—with impact you can see and feel A collaborative, inclusive culture grounded in our values The chance to shape the future of mental health care Competitive pay and benefits that support your whole self Diversity, Equity, Inclusion and Belonging : Headspace is committed to a safe, welcoming environment free of discrimination and harassment. We are an equal opportunity employer and prohibit unlawful discrimination. See recruitment process for details about voluntary self-identification and DEIB initiatives.
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