Bold · 1 day ago
Machine Learning Engineer
Los Angeles, CA
Full-time
Hybrid
Mid, Senior Level
$170K/yr - $200K/yr
3+ years expBold is the leading healthy aging platform, offering personalized exercise programs for Medicare members. They are seeking a Machine Learning Engineer to own the end-to-end ML lifecycle, building and deploying production machine learning systems to personalize the Bold experience and drive measurable health outcomes.
FitnessHealth CareWellness
Responsibilities
Develop and deploy production ML models that power content recommendation systems, member-specific predictions, and personalized experiences across the Bold platform, ensuring models are scalable, reliable, and clinically aligned with our mission
Collaborate cross-functionally with data scientists, software engineers, and product managers to integrate ML capabilities into products and applications, translating business requirements into technical solutions that drive measurable member outcomes
Build and optimize recommendation systems using supervised and unsupervised learning methods, Transformers, and state-of-the-art ML techniques to match members with the right exercise programs and interventions at the right time
Own the full ML lifecycle from experimentation and testing to deployment, monitoring, and iteration, establishing best practices for model performance tracking, versioning, and continuous improvement
Enable internal and external data products by creating robust ML pipelines and APIs that make predictions accessible to stakeholders while maintaining data quality, model explainability, and system reliability
Qualification
Required
Bachelor's degree in Computer Science, Machine Learning, Data Science, Statistics, or related technical field (Master's or PhD strongly preferred but not required)
3-5+ years developing and deploying machine learning models in production environments, with demonstrable impact on product metrics or business outcomes
Proven track record building recommendation systems, predictive models, or ML-powered features; experience with both supervised and unsupervised learning methods
Strong software engineering background with experience shipping production code, working in collaborative development environments, and maintaining ML systems at scale
Expert-level proficiency in Python, PyTorch, and Scikit-learn; proven ability to take models from research to production with proper testing, validation, and monitoring
Deep understanding of content recommendation algorithms, collaborative filtering, embeddings, and Transformer architectures for sequential and contextual predictions
Strong foundation in software development principles, version control (Git), CI/CD practices, and writing clean, maintainable, well-documented code that integrates seamlessly with production systems
Ability to translate complex technical concepts for non-technical stakeholders, work effectively in multidisciplinary teams, and balance technical rigor with pragmatic product delivery
Intellectually curious and action-oriented approach to staying current with ML advances, debugging complex issues, and finding creative solutions to novel problems in the healthy aging space
Preferred
Experience with Generative AI models, building agentic workflows, MLOps tools and practices (model registries, feature stores, experiment tracking), cloud platforms (AWS/GCP/Azure)
Startup or high-growth environment experience preferred–comfortable with ambiguity and wearing multiple hats
Health, wellness, or healthcare industry experience is a plus (especially enterprise/B2B settings)
Benefits
Meaningful equity in the form of a stock option grant
Company
Bold
Empowering exercise programs designed just for you, so you can chase the life you want at any age.
11-50 employees
H1B Sponsorship
Bold has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Early StageTotal Funding
$27MKey Investors
Rethink ImpactAndreessen Horowitz
2023-09-12Series A· $17M
2022-09-12Series Unknown· $3M
2021-02-04Seed· $7M
Leadership Team
A
Amanda Rees
Co-Founder & CEO
Hari Arul
President, Co-Founder
Recent News
agebold.com
2026-01-14
2026-01-14
2025-11-19
Company data provided by crunchbase