Senior Machine Learning Engineer at Stealth Life Science Startup

AI2 Incubator

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Senior Machine Studying Engineer at Stealth Life Science Startup

A portfolio firm of the AI2 Incubator

ABOUT US 

We’re an early stage startup utilizing generative AI to basically change life sciences analysis and speed up the tempo of biomedical discovery.

Genomic information are on the coronary heart of most fashionable molecular research and instruments, from primary analysis to scientific resolution assist, however these information are onerous to work with. Genomic information require costly laboratories, refined computational infrastructure, and large groups to provide and analyze. Producing and analyzing genomic information takes weeks or months. We’re constructing generative AI fashions to chop that point right down to minutes or hours.

Our platform addresses an enormous want within the massive and quickly rising use of genomics in analysis, from primary science to therapeutic improvement. mRNA therapeutics alone – a subset of the general market we serve – is projected to be a $100 billion market by 2026. This is a chance to be a part of a mission to rework life sciences R&D by dramatically accelerating the tempo of discovery.

WHO WE ARE

Our crew has devoted their careers to shifting the needle in biomedical analysis and training and has a deep understanding of how you can construct a transformative product on this area. Our founders every have ~20 years of expertise in life sciences, genomic information technology and evaluation, and AI/ML and information science. Our crew has main consultants within the design, execution, assortment, and utility of AI/ML strategies to massive organic research; has beforehand led and scaled startups; and are consultants in scientific coaching and enablement. Now we have lived the issue and are prepared to resolve it!

WHAT YOU’LL DO IN THIS ROLE

We’re in search of a senior machine studying engineer who desires to hitch our mission and be an early a part of constructing our AI-powered platform on the intersection of machine studying and life sciences discovery.

You’ll assist to set and construct out our machine studying fashions and improvement surroundings:  

  • Be a part of the founding crew to develop and iterate roadmap for mannequin improvement
  • Construct developmental generative fashions for experimental biology information
  • Collaborate with platform crew to deploy fashions into manufacturing
  • Develop and implement analysis framework and metrics for fashions
  • Apply experiences and insights to the challenges of constructing forward-focused fashions that may rework how life sciences information are generated, analyzed, and interpreted 

TYPICAL QUALIFICATIONS

The most effective candidates don’t all the time match the restricted standards talked about within the job description. If you’re enthusiastic about our imaginative and prescient and really feel that you may be a precious asset to our crew, please apply.

This position requires expertise with constructing AI/ML fashions. The precise kinds of fashions can differ, however a want and talent to be taught rapidly is crucial. An curiosity in making use of your expertise to our mission is the important thing ingredient.

Tech expertise

  • Expertise constructing generative fashions utilizing PyTorch, Tensorflow, JAX, HuggingFace, or comparable
  • Information of widespread generative architectures, together with transformer and diffusion fashions
  • Expertise coaching and deploying AI/ML fashions in manufacturing environments
  • Information of cloud computing environments and privacy-preserving architectures
  • Expertise with Microsoft Azure, AWS, or Google Cloud Platform
  • Information of key MLops, together with mannequin coaching, hosted inference choices, and each batch and stream processing.

Expertise

  • Expertise in mannequin improvement and deployment at scale in both massive tech or growth-stage startup firms
  • Constructing fashions which are related to extremely technical scientific domains
  • No minimal variety of years or diploma necessities, offered demonstrated understanding of the vary of approaches wanted (e.g., mannequin architectures, cloud infrastructure, and so forth.)
  • Desired: Ideally, you might have some publicity to or curiosity in studying about genomic measurement applied sciences and life sciences analysis

Method

  • Innovation-focused
  • Open-minded and adaptable; prepared to vary focus and course rapidly in response to product/market calls for
  • Snug working each independently and in shut collaboration with your personal crew in addition to different groups with complementary experience
  • Robust communication and want to be a key participant

WHY YOU’LL LOVE WORKING WITH US

Our founders have sturdy reputations as considerate, forward-thinking colleagues and mentors who domesticate expertise. We’ll suppose deliberately and collaboratively about your profession and the way we construct our crew. Our founders’ experiences in workforce improvement and dedication to range, fairness, and inclusion are central to our method.

  • Affect — Our platform will speed up the tempo of scientific discovery and remedy improvement to advance human well being. This is a chance to construct one thing from the bottom up, outline a brand new product, and lead a crew over time in an area that has an actual, optimistic influence.
  • Early worker influence — As a member of the very early crew, you’ll play a pivotal position in serving to form our product, crew, and tradition. For the remainder of our days, regardless of what number of 1000’s of individuals be a part of after you, you’ll all the time have that honor and distinction. It seems to be nice on a resume, too.
  • Early stage fairness — A good thing about becoming a member of early. None of us (neither our founders nor our traders) could be right here if we didn’t suppose that our firm will create great worth over time.
  • Wage — We’re a startup. You possibly can anticipate salary raises that deliver you nearer to market charges as we develop. Plus, you’ll have the power and pleasure of a startup and the distinctive advantages and studying alternatives of taking an early threat.
  • Versatile location and hours – We’re complete individuals with complete lives and anticipate that you’re, too. We’ll belief one another to make progress as a crew, in instances and locations that work for everybody. Choice for Seattle space. Journey to Seattle will probably be required every now and then – it’s an exquisite metropolis!
  • Visa assist – We can’t present visa assist at the moment.

Concerning the AI2 Incubator:

The AI2 Incubator helps entrepreneurs provide you with concepts, discover co-founders, interact pilot clients, refine their product, work with analysis paper authors to include the newest A.I. strategies into their expertise, and lift tens of millions of {dollars} in enterprise funding. They’ve a strategic relationship with the Allen Institute for A.I.—a world-leading analysis institute with over 200 A.I. PhDs, researchers, engineers, and assist workers—permitting them to dive deep into the newest tech and entry one of the gifted teams of researchers.

PRIVACY NOTICE & DISCLAIMER: This job publish is managed by The Allen Institute for Synthetic Intelligence (AI2). AI2’s job posts could embody open roles for third events, the place functions are coordinated with the hiring celebration. By submitting your utility, you hereby consent to AI2 processing your data as described in its Privacy Policy. You additional consent to AI2’s disclosure of your data and utility supplies to AI2 Incubator Inc. or AI2 Incubator startup firms.

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