Senior Learning Experience Designer Jobs in Boston, MA
Senior Learning Experience Designer jobs in Boston are in strong demand, concentrated in the Longwood Medical Area, the Seaport District, and Kendall Square across healthcare, higher education, life sciences, and technology. Employers hiring right now include Whoop, Zoox, and WHOOP. See the openings below and apply to the ones that match your experience.
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WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
The Health Insights team is responsible for developing novel algorithms and features that expand our health capabilities. Our work spans several key areas, including women’s health, medical device-grade metrics, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members.
As a Senior Machine Learning Engineer on our Health Insights team, you will help develop and deploy machine learning systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and health research, contributing to scalable ML solutions built on physiological and behavioral data streams. This role emphasizes robust system design, performance, and reliability in production.
RESPONSIBILITIES:
- Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers
- Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
- Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency
- Collaborate with researchers and product teams to align model development with physiological insights and member impact
- Participate in on-call rotations for data science services, ensuring uptime and performance in production environments
QUALIFICATIONS
- Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred).
- 4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems
- Strong coding skills in Python with a track record of writing clean, production-quality code
- Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
- Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models
- Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices
- Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems
- Preferred: 2+ years of experience applying advanced mathematical and statistical techniques
- Preferred: Experience working with time series data (wearable, physiological, or high-frequency sensor data)
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
The Health Insights team is responsible for developing novel algorithms and features that expand our health capabilities. Our work spans several key areas, including women’s health, medical device-grade metrics, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members.
As a Senior Machine Learning Engineer on our Health Insights team, you will help develop and deploy machine learning systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and health research, contributing to scalable ML solutions built on physiological and behavioral data streams. This role emphasizes robust system design, performance, and reliability in production.
RESPONSIBILITIES:
- Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers
- Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
- Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency
- Collaborate with researchers and product teams to align model development with physiological insights and member impact
- Participate in on-call rotations for data science services, ensuring uptime and performance in production environments
QUALIFICATIONS
- Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred).
- 4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems
- Strong coding skills in Python with a track record of writing clean, production-quality code
- Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
- Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models
- Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices
- Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems
- Preferred: 2+ years of experience applying advanced mathematical and statistical techniques
- Preferred: Experience working with time series data (wearable, physiological, or high-frequency sensor data)
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Find JobsSenior Learning Experience Designer Job Market in Boston
Who's Hiring
- Whoop10
- Zoox4
- Wayfair4
- Amazon3
Top Industries Hiring
- Technology & Software15
- Science & Research8
- E-Commerce & Online Marketplaces6
- Automotive4
- Artificial Intelligence4
Senior Learning Experience Designer Jobs in Boston: Frequently Asked Questions
How do I get a senior learning experience designer job in Boston?
Boston's strongest hiring comes from its sprawling healthcare and life sciences corridor, its dense cluster of universities and colleges, and its growing technology sector in the Seaport and Kendall Square. Candidates who stand out here pair instructional design credentials with domain fluency in clinical training, compliance learning, or technical onboarding. A portfolio that shows measurable learning outcomes and experience with enterprise authoring tools gives you a clear edge in this market.
Which companies hire senior learning experience designers in Boston?
Boston senior learning experience designer roles are posted by Whoop, Zoox, and WHOOP and others right now, based on current listings on Migrate Mate as of July 2026. The local market skews toward large hospital systems, research universities, biotech firms, and professional services companies with substantial training and development functions.
Are there remote senior learning experience designer jobs in Boston?
Yes, senior learning experience designer work is well-suited to remote and hybrid arrangements because most of the core work, such as course development, stakeholder collaboration, and LMS administration, does not require daily on-site presence. About 31% of senior learning experience designer openings tied to Boston are remote or hybrid as of July 2026, with fully on-site roles most common at hospitals and research labs in the Longwood Medical Area.
How can I get a senior learning experience designer job in Boston with little or no experience?
The most realistic entry path in Boston is through an instructional designer or learning coordinator role at one of the city's many universities, hospital networks, or mid-size technology companies, which regularly hire junior talent and promote from within. Building a portfolio with real projects, even volunteer or freelance work for Boston nonprofits or continuing education programs, accelerates the transition. Familiarity with tools common in Boston's healthcare and higher education sectors, such as Articulate and Canvas, strengthens any application significantly.
Which industries hire the most senior learning experience designers in Boston?
The sectors hiring the most senior learning experience designers in Boston are Technology & Software, Science & Research, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of July 2026. Boston's concentration of world-class medical institutions, research universities, and venture-backed life sciences companies creates sustained, specialized demand for senior instructional talent beyond what most comparable cities see.
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See All 63 Senior Learning Experience Designer Jobs in Boston
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