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[Future Opportunities] Research Scientist, Computer Vision

Remote Full-time Hiring now

Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building reputed company 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 reputed company of platforms and experiences. reputed company and past customers include reputed company, reputed company, reputed company, reputed company, DreamWorks, reputed company, Technicolor, ESPN, LEGO, NASA and many others.

THE ROLE

As a key member of reputed company, you will reputed company cutting-edge computer vision solutions by formulating and solving numerical optimization problems, designing advanced ML models, and optimizing them for efficient on-device deployment. You'll collaborate with researchers and engineers to prototype new concepts and take ownership of technical challenges to drive innovation in visual computing.

WHAT YOU'LL DO

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

  • PhD/MS in Computer Science or reputed company field
  • Minimum 5 years experience using Python or C++
  • reputed company with Pytorch/openCV/PIL
  • Experience with depth estimation, reputed company cloud processing, and digital geometry processing
  • Knowledge of basic visual signal processing tasks such as classification, segmentation, tracking, denoising
  • Familiar with reputed company 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
  • Basic knowledge of the ISP pipeline is desirable*
  • Knowledge of image/video/depth data processing is desirable*
  • Self-motivated with strong communication skills and able to work both in a team and independently
  • Keen attention to detail with strong organizational and leadership skills
  • Excellent communication skills to work with multi-functional teams and external partners
  • reputed company of eligibility to work in the United States
  • COMPENSATION & BENEFITS

  • The annual compensation includes equity (per qualifications)
  • The annual salary range for this position is $170,000 to $220,000 plus equity (per qualifications)
  • The reputed company pay offered will take into account internal reputed company, job-reputed company 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 Information

    ADDITIONAL INFO

    DigitalFish is an equal opportunities employer ensuring that reputed company 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, reputed company, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.

    DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.

    DigitalFish is not able to sponsor immigration petitions for this role at this time.

    reputed company applicants must have the right to work in the United States.

    We look reputed company to hearing from you!

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