hims & hers Logo

hims & hers

Sr. Machine Learning Engineer

Reposted 3 Days Ago
Remote
Hiring Remotely in US
180K-205K Annually
Mid level
Remote
Hiring Remotely in US
180K-205K Annually
Mid level
As a Sr. Machine Learning Engineer, you will develop and deploy ML models, enhance care personalization, and mentor teams while optimizing workflows.
The summary above was generated by AI

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 access to significantly better health care? In this role as Sr. Machine Learning Engineer, you will play a critical role in developing and deploying machine learning models that drive care personalization, treatment 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.

You Will:
  • Develop and deploy ML and LLM models for recommendation systems and personalized treatment strategies

  • Work extensively with Python and ML libraries like PyTorch to build and optimize models

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

  • Collaborate with 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:
  • 3+ 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

  • Experience with building and deploying production ML models at scale

  • 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 (not strictly required)

  • 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 Stock Purchase Program (ESPP)

  • 401k benefits with employer matching contribution

  • Offsite team retreats

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 [email protected] 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.

Top Skills

Aws Sagemaker
Databricks
Mlflow
Python
PyTorch

Similar Jobs

10 Days Ago
Remote or Hybrid
United States
131K-211K Annually
Senior level
131K-211K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design and build scalable AI/ML products, collaborate with cross-functional teams to implement AI solutions, and enhance data strategies for marketing.
Top Skills: AgnoAutogenAWSAzureCrewaiDatabricksGCPLangchain AgentsMlflowPythonPyTorch
11 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
158K-265K Annually
Senior level
158K-265K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
As a Senior Machine Learning Engineer, you will design ML APIs, build data pipelines, deploy models, and collaborate with various engineering teams to improve ML solutions for physical operations.
Top Skills: C++DockerGoJavaKubernetesPythonPyTorchScalaSparkTensorFlow
12 Days Ago
Remote
United States
236K-320K Annually
Senior level
236K-320K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Responsible for designing and deploying large-scale machine learning systems, optimizing performance, collaborating with cross-functional teams, and ensuring safe and responsible AI practices.
Top Skills: C/C++GoHuggingfaceKerasPythonPyTorchScikit-LearnTensorFlow

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account