Research Scientist, Computer Vision

5 Months ago • 3 Years + • Research & Development • $170,000 PA - $200,000 PA

Job Summary

Job Description

Research Scientist, Computer Vision with 3+ years of experience in Python/C++, PyTorch/OpenCV/PIL, Depth Estimation, Point Cloud Processing.
Must have:
  • Python/C++ Experience
  • PyTorch/OpenCV/PIL
  • Depth Estimation
  • Point Cloud Processing
Good to have:
  • Digital Geometry
  • Visual Signal
  • ISP Pipeline
  • Image/Video/Depth
Perks:
  • Health Insurance
  • Flexible Working

Job Details

Research Scientist, Computer Vision

Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users.

We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others.

OUR ENGINEERING TEAM

Our engineers develop resilient and scalable solutions on internal projects as well as external projects with our partners across animation, visual effects, mixed reality, social media and game production. All of our engineers contribute to an agile product development lifecycle by applying skills that span from requirements analysis, design, graphics tools, pipeline tools, workflow analysis and pipeline integration.

WHAT YOU'LL DO

  • You will formulate and solve numerical optimization problems in computer vision and computer graphics
  • You will design and develop and train complex machine learning models
  • You will optimize ML solutions for on-device deployment
  • You will collaborate with other researchers and engineers to develop experiments, prototypes, and concepts
  • Take ownership of technical issues and work to resolve them

WHO YOU ARE

  • PhD/MS in Computer Science or related field
  • Minimum 3 years experience using Python or C++
  • Experienced with Pytorch/openCV/PIL
  • Experience with depth estimation, point cloud processing, and digital geometry processing
  • Knowledge of basic visual signal processing tasks such as classification, segmentation, tracking, denoising
  • Familiar with all components in the training of ML model, including data loader, backbone search, choice of regressors/objectives/optimizers, hyperparameter search, model finetune, model quantization/optimization/format conversion
  • Self-motivated with strong communications skills and able to work both in a team and independently
  • Basic knowledge of the ISP pipeline is desirable*
  • Knowledge on image/video/depth data processing is desirable*
  • Experience of delivering software product in C/C++ and exposure to Android code base is desirable*
  • Proof of eligibility to work in the United States

COMPENSATION & BENEFITS

  • The annual salary range for this position is $170,000 to $200,000 plus equity (per qualifications)
  • The base pay actually offered will take into account internal parity, job-related knowledge, skills, and experience among other factors
  • Health Insurance - Medical, Dental, Vision and Life Insurance
  • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
  • Flexible working environment and more!

ADDITIONAL INFO

This is a hybrid position in the Bay Area.

DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined to ensure that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.


DigitalFish is not able to sponsor immigration petitions for this role at this time.
All applicants must have the right to work in the United States.
We look forward to hearing from you!

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