Machine Learning Engineer at Age Bold

Los Angeles, California, United States

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Technology, MedicareIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

PythonPyTorchScikit-learnMachine LearningRecommendation SystemsML InfrastructureSoftware EngineeringProduction MLData Science

Questions & Answers

Common questions about this position

What is the work arrangement or location for this role?

The position is hybrid in Los Angeles, but Bay Area-based candidates are welcome if they can travel to LA periodically.

What technical skills are required for this Machine Learning Engineer role?

Expertise in Python, PyTorch, and Scikit-learn is required, along with experience building recommendation systems using supervised and unsupervised learning, Transformers, and state-of-the-art ML techniques.

What experience level is needed for this position?

Candidates need 3-5+ years of experience developing and deploying machine learning models in production environments with demonstrable impact.

What is the salary or compensation for this role?

This information is not specified in the job description.

What education is required for this Machine Learning Engineer position?

A Bachelor's degree in Computer Science, Machine Learning, Data Science, Statistics, or related field is required, with Master's or PhD strongly preferred.

Age Bold

Personalized online workout programs for seniors

About Age Bold

Bold provides personalized online workout programs specifically designed for older adults to improve balance, build strength, and reduce pain. These programs are based on scientific research and have been shown to decrease the risk of falls by 46%, addressing a major concern for seniors, as one in three adults over 65 experiences a fall each year. Bold primarily targets individuals aged 65 and older, partnering with health insurance providers to offer these programs at no cost to eligible participants, making them widely accessible. Unlike many competitors, Bold's business model focuses on collaboration with health plans, which helps reduce healthcare costs associated with falls while ensuring a steady user base. The goal of Bold is to enhance the physical health and well-being of older adults, ultimately helping them lead safer and more active lives.

Los Angeles, CaliforniaHeadquarters

2019Year Founded

$26.3MTotal Funding

SERIES_ACompany Stage

HealthcareIndustries

11-50Employees

Benefits

Stock Options

Risks

Increased competition from established platforms like SilverSneakers and Renew Active.

Potential challenges in maintaining user engagement due to technological barriers.

Reliance on health insurance partnerships poses revenue risks if agreements change.

Differentiation

Bold offers personalized, science-backed exercise programs for older adults.

The platform reduces fall risk by 46%, a significant health benefit for seniors.

Bold partners with health plans to provide free access to eligible participants.

Upsides

Bold raised $17M in Series A funding to expand its Medicare partnerships.

The platform covers over 10 million Medicare members, enhancing its market reach.

Growing demand for senior-focused digital health solutions supports Bold's expansion.

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