Machine Learning Engineer • Lead

Who you are

You have a strong background in machine learning and data science, with experience in building and deploying machine learning models in production environments. Your collaborative spirit allows you to work effectively with cross-functional teams, including engineers, product managers, and data scientists. You are passionate about using data to solve real-world problems, particularly in the healthcare sector, and you understand the importance of reliability and performance in machine learning systems.

You possess excellent problem-solving skills and are comfortable navigating complex technical challenges. Your ability to communicate effectively with both technical and non-technical stakeholders ensures that you can advocate for the needs of the machine learning team while aligning with broader organizational goals. You are committed to continuous learning and staying updated on the latest advancements in machine learning and data science.

What you'll do

In this role, you will lead the development and implementation of machine learning-based systems that enhance healthcare access. You will collaborate closely with ML engineers and data scientists to design, deploy, and scale these systems, ensuring they meet performance and reliability standards. Your responsibilities will include guiding the technical direction of projects, mentoring junior team members, and fostering a culture of innovation within the team. You will also engage with product managers to align machine learning initiatives with user needs and business objectives, ensuring that the solutions you develop are impactful and user-friendly.

What we offer

Hims & Hers provides a flexible and supportive work environment that prioritizes employee well-being and professional growth. You will have the opportunity to work on meaningful projects that directly impact healthcare access and improve the lives of individuals. The company values diversity and encourages applications from candidates with varied backgrounds and experiences. We believe in the power of collaboration and innovation, and we are committed to creating a workplace where everyone can thrive.