Senior Machine Learning Engineer, Spring Health
AI & ML Platform
$183-205.5k
+ Stock options
More information about location
2-3 days a week in office
Personalised mental healthcare
Be an early applicant
Personalised mental healthcare
1001+ employees
Be an early applicant
$183-205.5k
+ Stock options
More information about location
2-3 days a week in office
1001+ employees
Company mission
To eliminate every barrier to mental health.
Role
Who you are
- Degree in Computer Science, Data Science, or a related field with a focus on Artificial Intelligence and Machine Learning
- 4-6 years of Python development experience with GenAI and ML libraries and frameworks (such as LangChain, Pydantic, Scikit-Learn, and more)
- Experience maintaining and configuring engineering tools (third-party and in-house built), including deployment within a Kubernetes stack
- Experience driving the adoption of generalized platforms with a continuous focus on improving internal Developer Experience (DX)
- Demonstrated ability to architect solutions for a full project as a lead prior to implementing a new feature, software, or tool in an enterprise environment while keeping project and organization constraints in mind
- Demonstrated ability to mentor junior engineers and communicate complex technical ideas effectively to both technical and non-technical audiences to create buy-in and alignment
- Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply
Desirable
- Experience with MLOps and best practices for creating and deploying machine learning models
- Background in a DevOps-style operational environment, including on-call rotations and cloud infrastructure management
- Experience debugging and resolving issues within cloud environments (such as AWS or Azure) and Kubernetes clusters
- 1-2 years of Ruby on Rails experience
What the job involves
- Reporting to the Senior Engineering Manager of the AI & ML Platform team, this Senior Machine Learning Engineer will play a key part in building and scaling a centralized AI platform (services, tools, best practices, and more) that powers our care capabilities. This role is part of the AI & ML Platform team and is instrumental in stewardship of a shared foundation of AI and ML development at Spring Health
- Collaborate to build and scale our AI platform, tooling, and best practices, enabling the rapid deployment of GenAI capabilities across the organization
- Monitor and maintain the uptime of critical AI and ML tools to ensure high availability for key platform features
- Contribute to backlog prioritization by identifying high-impact engineering opportunities that drive internal adoption of our centralized AI platform
- Act as a technical advocate for the team by participating in on-call rotations, hosting internal office hours, and contributing to cross-functional AI working groups
- Lead refactoring initiatives for key platform services to establish and enforce centralized coding standards for engineering contributors
- Partner with machine learning teams to consult on and periodically modernize MLOps best practices
- Drive cross-team collaboration to accelerate the adoption of AI and ML platform offerings, serving as a technical partner and consultant to feature teams
- Troubleshoot and debug cloud (AWS and Azure) and Kubernetes (K8s) infrastructure issues to ensure the reliability and availability of platform services
- Identify and recommend process optimizations to help the team effectively balance feature development, operational support, and internal consultations
- What success looks like in this role
- Maintain internal support service level agreements (SLAs) by achieving a 24-hour initial response time and ensuring active follow-up or resolution within 72 hours for cross-functional engineering inquiries
- Reduce feature time-to-production for GenAI capabilities to meet established internal velocity targets
- Improve internal Net Promoter Score (NPS) among engineering teams by reducing implementation friction and establishing centralized adoption standards for GenAI features
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 generalised, failing to deliver the personalised 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 personalised care, Spring Health aims to enhance mental wellness support for families alongside its existing employee services.
The behavioural 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 emphasising the right type of care for each individual. With substantial funding raised and a 2026 placement on the TIME100 Most Influential Companies List, 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 & President)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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