About the role

Aplyr's Quick Take

This role is for a Senior Machine Learning Engineer focused on developing advanced models for drug discovery using large-scale single-cell datasets. You'll be designing and iterating on machine learning architectures to tackle complex biological problems. It's primarily an individual contributor role requiring strong technical skills in ML and statistics.

Good fit

Ideal candidates have a solid background in machine learning, statistics, and a passion for applying these skills in biotechnology. Experience in drug discovery or related fields would be beneficial, along with a creative, non-incremental approach to problem-solving.

Worth noting

The company emphasizes a collaborative and open approach to innovation, which may appeal to those looking for a dynamic work environment. However, the role's focus on cutting-edge technology might not suit everyone, especially if you're more comfortable with established methods.

About Tahoe Therapeutics

Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world’s largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response.

By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them.

Your role

With Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we’re looking for people who want to push the frontier of what’s possible.

As a Senior Machine Learning Engineer, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe’s large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery.

Skills & Tags

machine learning ai data design

Aplyr's read

Tahoe Therapeutics is at the intersection of biotechnology and AI, attracting talent passionate about revolutionizing drug discovery and development.
Synthesized from recent postings & public sources

What's promising

•Tahoe Therapeutics uses cutting-edge AI to streamline drug discovery, potentially shortening development timelines.
•The company is positioned at the forefront of biotech innovation, integrating AI into traditional drug development.
•Recent hires indicate a strong focus on building a robust AI team to enhance research capabilities.

What to watch

•The heavy reliance on AI technology may face challenges if algorithms fail to deliver expected results.
•Limited public information about the company's financial health could pose a risk for job stability.
•Navigating regulatory hurdles in biotech can slow down the commercialization of new discoveries.

Why Tahoe Therapeutics

•Tahoe Therapeutics uniquely combines AI expertise with biotechnology to innovate drug discovery processes.
•The company prioritizes AI-driven solutions, distinguishing itself from traditional biotech firms.
•Tahoe's focus on AI integration offers a unique career path for tech-savvy scientists and engineers.

Aplyr’s read is generated by AI from public sources. Was it useful?