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Lead Machine Learning Engineer

Remote

Hims & Hers Health, Inc. (better known as 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 revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.

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 and forhers.com, or visit our investor site. 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 work with engineers, data scientists,  product managers, and others to implement and productionize data-driven products that help advance our mission to eliminate stigmas and break down barriers to access.

You Will:

  • Collaborate with ML engineers, data scientists, product managers and other engineering teams to build, deploy, and scale machine learning-based systems, ensuring their reliability and performance in production
  • Help guide and make technical decisions based on your knowledge of productionizing data science and ML models, balancing innovation and operational efficiency
  • Evaluate and implement state-of-the-art tools and frameworks, bringing a broad awareness of the machine learning and LLM production landscape into the company
  • Mentor and be mentored by other engineers
  • Actively participate in retrospectives and help drive continuous improvement in our process and culture

You Have:

  • 10+ years working in Engineering and/or Machine Learning Engineer with a proven record of developing and maintaining machine learning production systems 
  • Expertise with the modern machine learning orchestration and deployment tool stack (such as Databricks MLFlow, AWS SageMaker, Metaflow)
  • Proficiency in Python and machine learning libraries and frameworks (e.g., PyTorch, Scikit-learn, Tensorflow)
  • Strong understanding of MLOps principles and experience automating workflows for model training, deployment, and monitoring
  • Familiarity with machine learning fundamentals, statistical modeling techniques, and data preprocessing pipelines
  • Experience with LLM deployment tooling is a plus
  • Masters in Computer Science or related fields
  • A collaborative mindset and excellent communication skills

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 Stock Purchase Program (ESPP)
  • Employee discounts on hims & hers & Apostrophe online products
  • 401k benefits with employer matching contribution
  • Offsite team retreats

#LI-Remote

Outlined below is a reasonable estimate of H&H’s compensation range for this role for US-based candidates. If you're based outside of the US, your recruiter will be able to provide you with an estimated salary range for your location.

The actual amount will take into account a range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.

Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors.

An estimate of the current salary range is

$190,000 - $230,000 USD

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

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 accommodations@forhims.com 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.

To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.

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At Hims & Hers, we seek to establish an inclusive environment and are committed to building a team that reflects the unique perspectives, life experiences and varying backgrounds of the diverse populations that make up our customer base. To help us ensure we are meeting our equal employment obligations under U.S. employment law and identify areas of improvement in our process, we invite all U.S.-based candidates to complete the following demographic questions (if you are based outside of the United States, please select “I don't wish to answer”). 

 

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