Machine Learning Engineer, Spring Health
$120-165.3k
+ Stock options
2-3 days a week in office (Embarcadero Center, CA)
Personalized mental healthcare
Be an early applicant
Personalized mental healthcare
1001+ employees
Be an early applicant
$120-165.3k
+ Stock options
2-3 days a week in office (Embarcadero Center, CA)
1001+ employees
Company mission
To eliminate every barrier to mental health.
Role
Who you are
- Proven Experience: Demonstrated experience building and delivering production-grade software, with significant, hands-on experience in LLM or Generative AI engineering
- A Platform Builder's Mindset: You think in terms of abstractions, reusability, and creating leverage for other engineers
- You have experience building internal tools, libraries, or platforms and understand the importance of clear documentation and API design for your internal customers
- Technical Proficiency: Strong proficiency in Python and familiarity with the modern AI/ML stack, including cloud services (AWS, GCP, or Azure) and CI/CD pipelines
- You are adept at making smart, practical tradeoffs to meet goals
- LLM & Generative AI Expertise: Hands-on experience building or working with key components of the modern LLM stack
- Direct experience with orchestration frameworks (e.g. , LangChain, LangGraph), observability tools (e.g. , LangSmith), and the infrastructure for Retrieval-Augmented Generation (RAG) like vector databases is a significant plus
- Pragmatic Problem-Solving: The ability to operate at a feature scope, breaking down clearly defined solutions into smaller, manageable tasks
- You can proactively identify and mitigate risks and think through what might be coming in the next sprint
- Resilience and Drive: A high degree of grit and comfort with the ambiguity that comes with a fast-paced, high-growth environment
- You take ownership, see challenges as opportunities, and are resourceful in finding solutions
- Education: A Bachelor's degree in a technical field or equivalent practical experience
- We value the diverse perspectives that different backgrounds bring to our team
- Security and Privacy Awareness: A deep understanding of the importance of handling sensitive data
What the job involves
- As a Machine Learning Engineer on our AI and ML Infrastructure team, you'll be a key player in our mission to accelerate improvements that remove barriers to mental health
- Your role is to build the foundational LLM infrastructure, tools, and automated systems that empower all of our product teams to deliver features faster, safer, and more reliably
- This is a hands-on role where you will build the "paved road" for AI development at Spring Health
- You will tackle complex technical challenges by turning clear solutions into well-defined technical plans for LLM Ops and shared LLM components
- You will not only build for today's needs but also lay the groundwork for future capabilities
- Build Foundational LLM Tooling: Design, build, and maintain the core components of our LLM infrastructure
- This includes operationalizing tools like LangSmith for observability, creating shared patterns for using orchestration frameworks, and developing reusable libraries that make our feature teams more productive
- Develop Advanced AI Capabilities: Build the platform to support sophisticated LLM use cases
- You will help deploy and build the pipelines for a vector database to enable Retrieval-Augmented Generation (RAG) across multiple product teams
- Pioneer Future-State Infrastructure: Contribute to proofs-of-concept and the architectural groundwork for future innovations
- Ensure Platform Excellence & Scalability: Consistently add logging, monitoring, and alerting to the platform services you build
- Your team is accountable to ensure the platform is stable, performant, and cost-effective for its internal users
- Partner with Feature Teams: Work closely with engineers across the organization to understand their needs and challenges
- You will act as a consultant and enabler, providing the tools and patterns that unblock their work and accelerate their AI roadmaps
- Accelerate onboarding by cutting the time it takes for new engineers to make their first successful call to the platform
- Improve developer satisfaction and drive adoption of new platform features each quarter
- Meet or exceed SLOs for core services, such as uptime and latency, and lower the average time to resolve incidents (MTTR)
- Increase automation by improving test coverage and reducing repetitive support questions through better documentation
- Deliver committed roadmap items on schedule each sprint or quarter
- Produce high-quality work, from clear technical designs to clean, maintainable code
- Earn positive feedback from internal platform users and stakeholders
- Elevate the team by improving internal processes and sharing knowledge through mentorship and documentation
Our take
Large companies often provide employees with mental health services, but small businesses find it challenging to offer similar support. Additionally, existing support systems are usually generalized, failing to deliver the personalized mental healthcare that individuals need. To address this gap, Spring Health has developed AI-driven tools for employers to create tailored mental wellness plans for their employees, including treatment options, daily routines, and medication plans based on individual data.
Spring Health has recently expanded its services to the family and pediatric space through the acquisition of Weldon, offering mental wellness guidance to parents. This expansion includes chats with therapists, social workers, and parenting coaches, as well as group support with other parents and access to educational content. By focusing on personalized care, Spring Health aims to enhance mental wellness support for families alongside its existing employee services.
The behavioral health market is projected to grow to $242B by 2027. While many solutions prioritise fast access to therapy or meditation, Spring Health differentiates itself by emphasizing the right type of care for each individual. With substantial funding raised, Spring Health is well-positioned to continue its innovative approach to mental health services.
Freddie
Company Specialist at Welcome to the Jungle
Insights
77% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jul 2024
$100m
SERIES E
Apr 2023
$71m
LATE VC
Total funding: $465.1m
Company benefits
- Health, Dental, Vision benefits start on your first day at Spring Health. You and your dependents also receive an individual One Medical account which is valued at $199/year per user. HSA and FSA plans available
- A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
- 10 allocated sick days per year
- Flexible paid time off in addition to 12 paid holidays throughout the year
- Access to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management
- Spring Renewal: When you hit your four-year Springaversary, you’ll be awarded a four week, fully paid, sabbatical leave to renew and recharge
- 4-4.5 months of fully paid parental leave
- Spring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care
- Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses
- Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively
- On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!
- Employer sponsored 401(k) match of up to 2% after 90 days of employment
- Flexible work arrangements: 66% of Spring Health team members work fully remote while 33% work in a hybrid model from our New York City offices
- Focus Fridays: no meetings, no distractions, just time for you to get work done
- Focus Weeks: In Spring 2023, we held our first ever Focus Week, we canceled all non-essential meetings, minimized distractions, and you, our team members, to dive into the key work that gets chopped up or deprioritized during the regular day-to-day. We saw a 36% jump in the average energized score after those five days of flow state work and are finalizing a plan for quarterly Focus Weeks for team members
- Up to $1,000 Professional Development Reimbursement per calendar year
- $200 per year donation matching to support your favorite causes
Company HQ
Flatiron District, New York, NY
Leadership
Adam Chekroud
(Co-Founder)Previously President of The Oxford Guild Business Society for 2 years and Researcher at FMRIB Centre - University of Oxford for 1 year.
April Koh
(Co-Founder & CEO)Previously Chief Product Officer & Co-Founder at Spylight for 1 year. Also worked in the Product Management Department at Shazam for 5 months.
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