Lead Machine Learning Engineer

hims & hers; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading health and wellness platform is seeking a Lead Machine Learning Engineer to develop and deploy machine learning models that enhance personalization and recommendations. The role involves collaborating with cross-functional teams and mentoring engineers. Competitive salary and comprehensive benefits are offered, along with a flexible remote work environment.

Benefits

Unlimited PTO

Comprehensive health benefits

Employee Stock Purchase Program

401k benefits with employer matching

Offsite team retreats

Qualifications

• 10+ years of experience in Machine Learning and/or Engineering.
• Expert-level proficiency in Python and deep experience in ML frameworks.

Responsibilities

• Develop and deploy ML and LLM models for recommendation systems.
• Collaborate with data scientists and engineers to integrate ML models.

Skills

Machine Learning

Python

Collaboration

Problem Solving

Education

Master’s degree in Computer Science

Tools

PyTorch

TensorFlow

Scikit-learn

AWS SageMaker

Job description

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

About the Role:

How can we use data to build systems that enable easier and more affordable access to health care? In this role as Lead Machine Learning Engineer, you will play a critical role in developing and deploying machine learning models that drive personalization, recommendations, and automation across our platform. Your work will directly impact MedMatch, our AI-powered system that enhances provider-patient interactions, optimizes treatment recommendations, and expands into new verticals.Help guide and make technical decisions based on your knowledge of productionizing data science and ML models, balancing innovation and operational efficiency.

You Will:

• Develop and deploy machine ML and LLM models for recommendation systems and personalized treatment strategies

• Work extensively with Python and ML libraries like PyTorch, TensorFlow, and Scikit-learn to build and optimize models

• Write clean, efficient, and production-ready code to support scalable ML applications

• Collaborate with data scientists, engineers, and product managers to integrate ML models into real-world systems

• Set up necessary ML infrastructure components to streamline model training, evaluation, and deployment

• Evaluate and implement cutting-edge ML tools and frameworks, keeping the company at the forefront of ML and LLM advancements

• Mentor engineers, sharing expertise in ML modeling, deployment, and best practices

• Actively participate in retrospectives and help drive continuous improvement in our process and culture

You Have:

• 10+ years of experience in Machine Learning and/or Engineering, with a strong emphasis on hands-on model development and coding

• Expert-level proficiency in Python and deep experience in ML frameworks like PyTorch, TensorFlow, and Scikit-learn

• Experience with building and deploying ML models and recommendation systems

• Strong background in LLMs and NLP applications, including applications like summarization and chatbots

• Familiarity with 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

• A collaborative mindset, strong problem-solving skills, and the ability to work cross-functionally

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles

• Unlimited PTO, company holidays, and quarterly mental health days

• Comprehensive health benefits including medical, dental & vision, and parental leave

• Employee discounts on hims & hers online products

• Employee Stock Purchase Program (ESPP)

• 401k benefits with employer matching contribution

• Offsite team retreats

#LI-Remote

We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.

Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [e-mail] and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.

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