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Deep Learning & Computer Vision Engineer

Company: Danaher
Location: Vista
Posted on: June 12, 2021

Job Description:

Position Summary

In Leica Biosystems' Artificial Intelligence and Machine Learning SBU, as a Deep Learning & Computer Vision Engineer you will be responsible for designing and developing deep learning and computer vision models to advance the frontier in cancer diagnostics. At Leica, we believe "the best team wins." You will be a valued member of a high-touch technical team recognized by the organization as leading the charge in catalyzing the industry's rapid migration to digital pathology. You will bring your intellect and experience to attack a customer-vetted prioritized list of computer vision use cases.

Major Responsibilities

  • You will be responsible for knowing exactly where the state of deep learning intersects with digital health, especially in the sub-domain of computational pathology using whole-slide-imaging inputs. Through Voice-Of-Customer interviews, webinars, academic research papers, and partner presentations, you will synthesize the salient successes and outstanding challenges associated with developing computer vision models for a given cancer indication.

  • In a supervised learning setting, you will be responsible for directing pathologists to provide useful annotations. You will cultivate an expanding set of labeled images that we can leverage to assess the efficacy of partner models as well as develop our own models.

  • You will explore saliency maps, occlusion sensitivity, class activation maps to develop evidence as to why customers should use our CNN models.

  • You will determine how many slides per case as well as what magnifications best train our models.

  • You will be intimately familiar with when to bias for precision vs recall.

  • You will be familiar with establishing ground-truth for a cancer indication as well as the knowing the degree of pathologist concordance for that indication.

  • You will assess what components are the "hard" problems in the training pipeline.

  • You will be responsible for the integrity of the hold-out sets.

  • You will understand intimately the trade-offs between cloud and edge deployments.

Education and Experience:

  • Strong desire to do meaningful work in the world and chunk on challenging problems.

  • Minimally, Master's degree in science/technology (PhD preferred)

  • Healthcare industry experience in Diagnostics, Medical Device or Pharmaceuticals

  • 3+ years of developing increasingly challenging distributed AI/Deep Learning/Computer Vision solutions

  • Experience with CNNs, ResNets, GANs, PyTorch, TensorFlow, Keras, AWS or GCP

  • Ability to mentor deep learning developers

  • Experience with Agile Scrum and/or Kanban

  • Be prepared to talk about your specific projects, what problem you were solving, why was it important to your organization, how did the outcome compare with the objective?

  • Bonus points for any combination of the following:
  • Git repo

  • Google Scholar

  • Presentations/publications i.e. NeurIPS, ICLR

  • Open-source contributions

  • Experience in Kaggle-type competitions

Travel: 10%


  • English fluency required. Bonus points for additional languages (esp. German, Mandarin)


  • Self-starter, highly organized: Able to explore a space, individually develop a research plan, and execute on that plan.

  • Team player: Cooperate actively, but able to maintain key focus on impact and accountability

  • Problem Solver: Can grind on hard problems and present reasoned arguments around possible solutions.

  • Able to learn quickly: About a new industry, identify and work with key players

  • Balance of interest and domain knowledge: Augment your knowledge of deep learning in the large to the specific domains of cancer diagnostics, therapeutics, and patient outcomes.

Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The "EEO is the Law" poster is available here.

Keywords: Danaher, Vista , Deep Learning & Computer Vision Engineer, Other , Vista, California

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