Machine Learning Scientist

Healthcare is quickly moving digital. Physicians are treating patients online more than ever, but they don’t have the patient vitals they need to do their job. We are an AI startup focused on unlocking the digital health revolution by making health measurement ubiquitous. Our products will turn your smartphone into a medical device, enabling the measurement of a multiple biomarkers using just the hardware already in your pocket. Our technology is based on cutting-edge research from one of the top AI for Health research labs in the world – the University of Washington Ubiquitous Computing Lab.

We are seeking a Machine Learning Scientist to build deep learning algorithms for our suite of smartphone health sensing products. In this role, you will work alongside world leaders in AI for healthcare to develop, train, and evaluate new ML models to measure important health metrics. 

We would love for you to join us in making quality healthcare more accessible to patients around the globe.

To be successful in this role, it would help if you have:

• Passion for building tools that can meaningfully impact the healthcare industry
• Curiosity for the latest research in deep learning 
• Collaborative spirit and willingness to work closely with colleagues toward a shared goal
• Growth mindset and desire to continually improve your technical skills

Qualifications:

• Principal-level experience and MS or PhD in computer science or related field
• 3+ years experience as a hands-on, expert-level practitioner of machine learning
• 2+ years designing and developing deep learning algorithms
• Expertise in Python and ML frameworks such as Tensorflow and Pytorch
• Strong understanding of deep learning model architectures such as convolutional/recurrent neural networks and transformers
• Knowledge of the state-of-the-art in deep learning and a passion for reading and implementing papers
• Ability to effectively multi-task and adapt within a fast-paced environment
• Excellent communication and organizational skills

What’s in it for you?

• Huge impact opportunity: Build and scale a company from the ground up 
• Growth and equity opportunities at a venture backed startup
• Work on a daily basis with the founding team and core advisors including the CEO of AI2
• The opportunity to build and grow a team

More questions? Reach out at info@measurelabs.com

A note about diversity:

We believe incorporating diverse viewpoints early on is key to building an inclusive culture and a transformative product. If you think you might have a diverse perspective to share, we're eager to hear it. We hope you'll apply.

At the AI2 Incubator, we are committed to fostering a diverse, inclusive environment and to encourage these values in our wider entrepreneurship community. We provide an environment of mutual respect where equal entrepreneurial support opportunities are available to all founders without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We believe that diversity and inclusion among our founders is critical to the success of our incubator and our spinouts, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Invitation to our incubator program is decided purely on the basis of qualifications, merit, and business need.

About AI2:

The AI2 Incubator is an initiative of the Allen Institute for A.I.-a world-leading research institute with over 175+ A.I. PhDs, researchers, engineers, and support staff. Our 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.

Our incubator is also backed by some of the best investors and executives in the world including Madrona Venture Group, Sequoia, Kleiner Perkins, and Two Sigma Ventures-along with Jeff Dean (Google Senior Fellow), Jeff Wilke (CEO Amazon Worldwide Consumer), Adam Selipsky (CEO Tableau Software), Sujal Patel (Founder of Isilon), Carol Reiley (co-founder of Drive.ai), Laura Butler (Microsoft Technical Fellow), Leigh McMillan (CEO of Whitepages), Charlie Bell (SVP of Amazon Web Services), Chris Re (Stanford Professor & Founder of Lattice), and more.

Ready to Get Started?