Engineering/Machine Learning Lead, Life Science Project

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

About The Team

We are a team of scientists and engineers dedicated to creating transformative computational tools for biology. Our moonshot is to accelerate discovery and innovation in human health and other life science applications.

A biology background is helpful but not required; curiosity and passion for learning are essential. If you are excited to make a difference in this space, we’d love to talk with you.

About The Role

You will be leading the software and ML platform for the project. This includes iterating quickly through prototypes and deciding which projects to evolve into longer-term designs, as well as scaling up solutions to robust software components. This position calls for passion for early stage projects and comfort with ambiguity.

You will work closely with experimental and computational biologists to identify the most impactful ways to accelerate their research, and with partners inside and outside Alphabet to understand and translate their needs. Our team is developing technologies that redefine what is possible in a rapidly evolving field.

How You Will Make 10x Impact

• Roll up your sleeves and get stuff done as an early member of the team.
• Drive tight innovation loops to build tools that are useful today without losing track of the big picture.
• Set the technical direction for a team of software and machine learning engineers.
• Work cross-functionally with biologists and machine learning experts to define and build stage-appropriate infrastructure.
• Communicate effectively with team leads, product managers, industry and academic partners, and experts in biology and related disciplines.

What You Should Have

We’re looking for a motivated and versatile engineering lead who understands the requirements of an early-stage environment.

• BS/MS in CS or equivalent practical experience
• PhD in CS or a natural science is preferred
• Experience leading software development for data-heavy scientific applications
• 5+ years of experience building software in an enterprise environment
• Startup experience, or equivalent experience on early stage teams
• People management experience

The US base salary range for this full-time position is $174,000-$ 276,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.