Deep Learning & Computer Vision Engineer
Posted on: June 12, 2021
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.
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
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
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
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
You will be responsible for the integrity of the hold-out
- You will understand intimately the trade-offs between cloud and
Education and Experience:
Strong desire to do meaningful work in the world and chunk on
Minimally, Master's degree in science/technology (PhD
Healthcare industry experience in Diagnostics, Medical Device or
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:
Presentations/publications i.e. NeurIPS, ICLR
- Experience in Kaggle-type competitions
- 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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