ML Infrastructure Engineer
About LifeCo
Our mission is to conclusively solve healthcare for humankind.
First, we are developing a new healthcare service to replace America's failed insurance model — ensuring certainty of care for everyone.
We're building a team of exceptional engineers and scientists. No healthcare experience is required — talent, ambition, and a track record of building things that work matter most.
All positions are full-time in New York City. Reach us at jobs@life.co.
Working at LifeCo
Our team is small, highly motivated, and focused on engineering excellence. We operate with a flat organizational structure. All team members are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.
All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the role
You will design and build scalable infrastructure for training and deploying machine learning models. Optimize performance of ML systems and develop tools for monitoring and debugging. Implement efficient data pipelines and collaborate with research scientists to bring models to production.
Requirements
BS/MS in Computer Science or related field • 3+ years of experience building ML infrastructure • Strong programming skills in Python • Experience with distributed systems • Knowledge of ML frameworks like PyTorch or TensorFlow • Familiarity with cloud computing platforms.
Tech stack
Interview process
Please submit your application via email to jobs@life.co with a statement that includes proof of past work that best showcases your abilities. Our team will review your application within one week of receipt. If your application passes this initial screening, you'll be invited to a 30-minute phone interview where a team member will ask basic questions to get to know you. Candidates who successfully complete the phone interview will proceed to the main selection process, which consists of three stages:
1. Problem solving: Demonstrate practical skills in a live problem-solving session.
2. Walkthrough: Deep-dive into your past work.
3. Final coversational interview with CEO
Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Decisions and offers will be provided within 2 weeks of finishing main process.
Compensation
$160k-380k + Offers Equity
LifeCo is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics.