Tesseract Health Company Logo Guilford, CT Neurotech Job Opening Positions

Machine Learning/Computer Vision Scientist – Remote (US)

 

Machine Learning/Computer Vision Scientist

Data Science & Advanced Technology       ·       United States       ·       Full time

 

Who We Are

Tesseract’s mission is to democratize healthcare delivery to everyone on a global scale. We are reinventing medical devices to leverage the health information in the human eye and championing a new era of healthcare by creating portable, affordable, easy to use, connected devices for early disease detection and monitoring. Tesseract is well-funded and recently raised a series B round of $80M.

We are part of 4Catalyzer – a rapidly growing health-tech incubator founded by Dr. Jonathan Rothberg, an award-winning scientist and highly successful serial entrepreneur. Our 4Catalyzer sister companies include Butterfly Network, the first whole-body Ultrasound-on-ChipTM, and Hyperfine, the first FDA-cleared portable MRI. We are fostering a culture of technical excellence and positive teamwork to solve real-world problems that help improve healthcare for billions of people around the world.

Joining Tesseract is the opportunity to redesign the future of healthcare through the power of technology. Join us on this journey to maximize global impact, motivated by the idea that our products will change lives, including the ones of people you love.

 

What We Live By

  • Patients First: We are driven to make products that will improve people’s lives.
  • Data-Driven: We search for the best solutions: objective, backed by data, and optimized for speed, simplicity and scale.
  • Team-Oriented: We collaborate with and support each other every step of the way.

 

What You Will Be Doing

As the Machine Learning / Computer Vision Scientist, you will play a large role in the success and accuracy of our automated disease prediction models, to bring Tesseract’s product at scale and impact millions of patients. You will be developing novel machine learning and associated methods for achieving these goals.

As part of our team, your core responsibilities will be: 

  • Develop and optimize state-of-the-art algorithms within one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, segmentation, and generative adversarial networks
  • Design, code and evaluate solutions for disease prediction on retinal scan datasets
  • Follow cutting-edge research in the fields of machine learning, computer vision, clinical AI, multimodal deep learning as it applies to the field of ophthalmology across various labs and conferences and identify opportunities for Tesseract to innovate
  • Work alongside other research scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products
  • Develop novel methods and contribute to the existing knowledge pool through conference presentations and publications.

 

What We Are Looking For

Baseline Skills, Experiences, & Attributes

  • MS or PhD in Machine Learning, Computer Science, Artificial Intelligence or related field
  • 5 years of strong experience in medical imaging, with a preference for ophthalmic imaging data such as OCT and fundus images
  • Expertise in designing, building and optimizing machine learning solutions for classification, segmentation and quality enhancement as applied to large healthcare imaging datasets
  • Ability to quickly iterate on hypotheses and innovate / adapt and tune state of the art models to achieve set target requirements  
  • Deep theoretical understanding of state of the art machine learning literature and training processes
  • Staying involved with research communities, attending conferences / publishing results
  • Strong software development experience in Python, and comfortable with CS fundamentals such as OO design, data structures, algorithm design etc.
  • Experience in full machine learning development lifecycle from scoping to production
  • Proficiency with popular libraries and frameworks such as Scikit-learn, Pandas, Keras and TensorFlow 
  • Previous experience building productionized machine learning solutions that delivered measurable impact  
  • Team and goal oriented while embracing shared values and being excited about our team’s mission to democratize healthcare

 

Preferred Qualifications

  • Experience with cloud computing infrastructure and software (AWS, Kubernetes, Docker, etc.) for ML applications
  • Active engagement with the research community with a track record for publications in top tier journals innovating and applying ML to large scale problems
  • Ability to see the bigger picture on how the source of data (hardware) relates to the algorithms

 

What We Offer

  • Fully covered medical insurance plan, and dental & vision coverage (as a health-tech company, we place great worth on our team’s well-being)
  • Competitive salaried compensation (you should feel appropriately valued and excited to join us)
  • Equity (employees are important and should have a stake in our success)
  • Pre-tax commuter benefits (let’s make your commute costs more reasonable) 
  • Free onsite meals + kitchen stocked with snacks at our Guilford, CT campus (sponsored brain fuel)
  • While we would love to see you face to face everyday, we are flexible and open to people being remote. We will always have opportunities to meet your coworkers off the screen at one of our many team outings. (no pressure though)
  • 401k plan (everyone should be encouraged to save for their retirement adventures)
  • The opportunity to build a revolutionary healthcare product and save millions of lives! 

For this role, we provide visa assistance for qualified candidates. 

 

Tesseract does not accept agency resumes.

Tesseract is an E-Verify and equal opportunity employer regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines.

#LI-Remote

 

Please click here to apply.

 

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