Sr. Machine Learning Engineer

August 19

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hims & hers

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Healthcare Insurance • eCommerce • Wellness

Hims & Hers is an online platform with over 1 million subscribers that connects patients to licensed healthcare professionals across all 50 states in the U. S. The service offers comprehensive support for sexual health, weight loss, hair regrowth, mental health, and skincare through a 100% online process. Clients can receive personalized treatment plans which may include prescription medications, and benefit from free and discreet shipping. Hims & Hers prides itself on providing accessible and affordable healthcare without the need for insurance, offering transparent pricing and support from licensed providers. It aims to empower individuals by making healthcare and treatment conveniently available on their own terms, including mental health support, which includes treatments for anxiety and depression.

201 - 500 employees

Founded 2017

⚕️ Healthcare Insurance

🛍️ eCommerce

🧘 Wellness

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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