Machine Learning / Computer Vision Internship

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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 Intern, 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), segmentation, and generative adversarial networks
  • Design, code and evaluate solutions for image quality assessment/enhancement on retinal scan datasets
  • Follow cutting-edge research in the fields of machine learning, computer vision, clinical AI, multimodal deep learning across various labs and conferences in particular as it applies to the field of ophthalmology, 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

  • Currently pursuing MS or preferably PhD in Machine Learning, Computer Vision, Computer Science, Artificial Intelligence or related field.
  • Experience in medical imaging, with a preference for ophthalmic imaging such as fundus images
  • Experience in using well-known CNN architectures like U-Net, ResNet, VGG16.
  • Expertise in designing, building and optimizing machine learning solutions for classification and quality enhancement
  • 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
  • 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.
  • Proficiency with popular libraries and frameworks such as Scikit-learn, Pandas, Keras and TensorFlow 
  • 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
  • Relevant experience as a researcher, including internships, full-time, or at a lab.
  • Active engagement with the research community with a track record for publications in top tier journals innovating and applying ML to large scale problems

How We Hire

  • Call with our Recruiter

This will be a 30 minute call with our Technical Recruiter who will be your point of contact throughout the interview process. During this call you will be able to discuss your experience, what motivates you, what you are looking for in your next opportunity, and ask any questions you may have. We will share who we are and why we love working here at Tesseract. 

  • Take-Home Assignment: The assignment will be sent a few days after your initial call

Depending on the role you are interviewing for, after you meet with the team and we determine that we will be moving forward, you will receive a take home assignment where we will ask you to either solve, create, or strategize a problem. This part of the interview process will give us an insight into how you tackle situations and how you can relay the solutions to specific problems. 

  • Meet The Team: This will take place (calendars willing) a week after we have received your assignment

Here you will speak with a handful of our team members so that you can learn what it is truly like working at Tesseract. Of course we will be diving more into your background and experience to learn how you can help us grow and move forward. We want to figure out if you've got the right experience for this position

  • Final Meeting: This will take place a week after your assignment is submitted

This is it! This is the final meeting with our CEO Vicky Demas. Take a breath! This is just a conversation and your opportunity to ask any hot pressing questions. It is your time to learn more about what we are all about. You can really ask her anything. You can ask about Tesseract, what she loves about the med-tech world, her career path or what she does on a Saturday morning. Utilize this time to dig deep into Tesseract and the leader of the company. 

  • References: This will be asked a week after your meeting with Vicky

Almost to the finish line! We will move to references once we get the okay and this is where we will reach out to former managers and colleagues just to gain a better understanding of your past experiences

  • The Offer: You should receive the good news a week after we get your references

You did it! If you have reached this point then you are all set to join us and start revolutionizing the healthcare industry! Our recruiter will be reaching out to share the positive news and let you know the next steps. 

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 (sponsored brain fuel post-COVID, fingers crossed)
    • 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.

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Location

Our office is located right in the heart of the Flatiron District and great restaurants! We are conveniently located by various train and bus stops.

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