(Senior) AI Engineer at Stealth Life Sciences Startup

ABOUT US 

We are an early stage startup using generative AI to fundamentally change life sciences research and accelerate the pace of biomedical discovery. 

Genomic data are at the heart of most modern molecular studies and tools, from basic research to clinical decision support, but these data are hard to work with. Genomic data require expensive laboratories, sophisticated computational infrastructure, and big teams to produce and analyze. Generating and analyzing genomic data takes weeks or months. We’re building generative AI models to cut that time down to minutes or hours. 

Our platform addresses a huge need in the large and rapidly growing use of genomics in research, from basic science to therapeutic development. mRNA therapeutics alone - a subset of the overall market we serve - is projected to be a $100 billion market by 2026. This is an opportunity to be part of a mission to transform life sciences R&D by dramatically accelerating the pace of discovery.

WHO WE ARE

Our team has dedicated their careers to moving the needle in biomedical research and education and has a deep understanding of how to build a transformative product in this space. Our founders each have ~20 years of experience in life sciences, genomic data generation and analysis, and AI/ML and data science. Our team has leading experts in the design, execution, collection, and application of AI/ML methods to large biological studies; has previously led and scaled startups; and are experts in scientific training and enablement. We have lived the problem and are ready to solve it!

WHAT YOU’LL DO IN THIS ROLE

We are looking for a (senior) machine learning engineer/researcher who wants to join our mission and be an early part of building our AI-powered platform at the intersection of machine learning and life sciences discovery.

You will help to set and build out our machine learning program and long-term technical vision:

• Be part of the initial team to develop and iterate a roadmap for model development
• Build foundational generative models for experimental biology data
• Scale model training across multiple GPUs and nodes in the cloud
• Deploy and monitor models in production
• Apply experiences and insights on the challenges to designing and building forward-focused models that can transform how life sciences data are generated, analyzed, and interpreted

TYPICAL QUALIFICATIONS

The best candidates do not always match the limited criteria mentioned in the job description. If you are excited about our vision and feel that you could be a valuable asset to our team, please apply.

This role requires experience with building AI/ML models. The exact types of models can vary, but a desire and ability to learn quickly is essential. An interest in applying your skills to our mission is the key ingredient.

Tech Skills & Experience

Must have...

• Development experience with PyTorch, Tensorflow, JAX, or similar
• Experience fine tuning and prompting Large Language Models
• Experience training AI/ML models with AWS, Microsoft Azure, or Google Cloud Platform
• Knowledge of key MLOps, including model training, hosted inference options, and batch/stream processing
• Experience deploying AI/ML models in production environments

Ideally you have some...

• Experience managing model experimentation, development, and evaluation
• Experience reading the AI/ML literature and implementing/developing new methodology based on research ideas
• Building models that are relevant to highly technical scientific domains

Bonus skills/experience...

• Building Retrieval Augmented Generation (RAG) pipelines
• Understanding of or interest in computational genomics and applications of AI to biology

No minimum number of years or degree requirements, provided demonstrated understanding of the range of approaches needed (e.g. model architectures, cloud infrastructure, etc.).

Approach

• Innovation-focused
• Desire to be a key player
• Open-minded and adaptable; willing to change focus and direction quickly in response to product/market demands
• Comfortable working both independently and in close collaboration within your own team as well as other teams with complementary expertise
• Strong communication and ability to explain complex AI and ML concepts to non-experts

WHY YOU’LL LOVE WORKING WITH US

Our founders have strong reputations as thoughtful, forward-thinking colleagues and mentors who cultivate talent. We’ll think intentionally and collaboratively about your career and how we build our team. Our founders’ experiences in workforce development and commitment to diversity, equity, and inclusion are central to our approach.

• Impact — Our platform will accelerate the pace of scientific discovery and therapy development to advance human health. This is an opportunity to build something from the ground up in a space that has a real, positive impact. 
• Early employee impact — As a member of the very early team, you will play a pivotal role in helping shape our product, team, and culture. For the rest of our days, no matter how many thousands of people join after you, you will always have that honor and distinction. It looks great on a resume, too.
• Early stage equity — A benefit of joining early. None of us (neither our founders nor our investors) would be here if we didn’t think that our company will create tremendous value over time. 
• Flexible location and hours – We are whole people with whole lives and expect that you are, too. We’ll trust each other to make progress as a team, in times and places that work for everyone. Preference for Seattle area. Travel to Seattle will be required from time to time – it’s a beautiful city!

About the AI2 Incubator:

The AI2 Incubator helps entrepreneurs come up with ideas, find co-founders, engage pilot customers, refine their product, work with research paper authors to incorporate the latest A.I. techniques into their technology, and raise millions of dollars in venture funding. They have a strategic relationship with the Allen Institute for A.I.—a world-leading research institute with over 200 A.I. PhDs, researchers, engineers, and support staff—allowing them to dive deep into the latest tech and access one of the most talented groups of researchers. 

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