Staff Machine Learning Engineer, Hims & Hers
$210-230k
+ Equity and Employee Stock Purchase Program (ESPP)
Multi-specialty telehealth platform
Be an early applicant
Multi-specialty telehealth platform
1001+ employees
Be an early applicant
$210-230k
+ Equity and Employee Stock Purchase Program (ESPP)
1001+ employees
Company mission
To help the world feel great through the power of better health.
Role
Who you are
- 5+ years of experience in Machine Learning and/or Engineering, with a deep focus on hands-on model development and deployment
- Expert-level proficiency in Python and deep experience in ML frameworks like PyTorch
- Proven success leading ML model development and deployment efforts across multiple projects
- Strong background in LLMs and NLP applications, including applications like summarization and chatbots
- Proficiency in ML deployment best practices, with the ability to bring models from research to production
- Experience with ML infrastructure tools (e.g., Databricks, MLFlow, AWS SageMaker) is a plus
- A Master’s degree in Computer Science, Machine Learning, or a related field (not strictly required)
- A collaborative mindset, strong problem-solving skills, and the ability to influence direction across teams and technical areas
What the job involves
- How can we use data to build systems that enable access to significantly better health care? In this role as Staff Machine Learning Engineer, you will play a technical leadership role in leading the development and deployment of machine learning models that drive care personalization, treatment recommendations, and automation across our platform. Your work will directly impact strategic components of MedMatch, our AI-powered system that enhances provider-patient interactions, optimizes treatment recommendations, and expands into new verticals
- Lead and contribute to the design and deployment of ML and LLM models for recommendation systems and personalized treatment strategies
- Work extensively with Python and ML libraries like PyTorch to scale and refine complex models
- Write high-quality, scalable, and production-ready code to support advanced ML applications
- Collaborate with engineers and product managers to deliver ML models integrated into real-world systems
- Design, scale, and improve ML infrastructure components to accelerate model training, evaluation, and deployment
- Research and integrate cutting-edge ML tools and frameworks, keeping the company at the forefront of ML and LLM advancements
- Mentor engineers within and across squads, sharing expertise in ML modeling, deployment, and best practices
- Drive improvements in team process and foster cross-team collaboration
Our take
Hims & Hers is a direct-to-consumer brand made for men and women, offering products for skin care, birth control, erectile dysfunction, hair loss and more. The company aims to create an open and honest culture of care that is accessible for everyone, no matter who you are or where you live.
Hims & Hers approach healthcare differently through a telemedicine approach combined with a comprehensive wholesale and branding strategy. This allows customers to get diagnosed and treated at a lower cost and with greater convenience whilst the company simultaneously increases customer brand's presence across the US.
The company is increasingly focused on becoming a modern healthcare brand, and has a huge addressable market to go after. Recent launch of an app has helped the company grow significantly. Further, it is focusing investment into platform infrastructure and the development of partnerships with physical stores including retail giant Walmart, as well as continuing to launch new products such as its range of volumising shampoos.
Steph
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2019
$100m
LATE VC
Jul 2018
$50m
SERIES B
Total funding: $197m
Company benefits
- Dental insurance
- Maternity & Paternity Leave
- Gym Membership
- Commuter Checks & Assistance
- Work from home opportunities
- Health insurance
Company HQ
Marina District, San Francisco, CA
Leadership
Andrew Dudum
(CEO)Previously co-founder of Atomic, Homebound, Terminal and Bungalow and Investor & Advisor at Stable Auto, TalklQ, and Mira Technologies.
Hilary Coles
(Senior VP Brand & Innovation)Previously earned an MBA from the Kellogg School of Management at Northwestern University.
Jack Abraham
(Investor)Founder and Managing Partner of Atomic. Co-Founder and Investor at Replicant, Raydiant, Bungalow, Homebound, Terminal and Zenreach.
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