Machine Learning Engineer, NeRF

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.

THE ROLE

The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields. As a member of our team, your work will be critical in advancing our technology and staying at the forefront of innovation in the field of computer vision and machine learning for AR/VR.

What You'll Do

Develop and implement state-of-the-art neural radiance field models for various applications such as novel view synthesis, 3D reconstruction, and relighting
Collaborate with cross-functional teams to integrate neural radiance field models into existing systems and products
Design and implement efficient and scalable algorithms for training and deploying neural radiance field models
Evaluate and analyze the performance of neural radiance field models and identify areas for improvement
Write clean, maintainable, and well-documented code
Collaborate within the team and cross teams, working with researchers and software
engineers
Prioritize usability, maintainability, scalability, ease of debugging and clear documentation

Who You Are

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
Strong background in computer vision, machine learning, and deep learning
Experience with neural radiance fields and related techniques such as volume rendering, gaussian splatting, and differentiable rendering
Proficiency in Python and experience with deep learning frameworks such as PyTorch
Strong troubleshooting and debugging skills
Clear and effective written and verbal communication skills.
Demonstrated successful collaboration with teams from varying domains and backgrounds
Familiar with basic computer vision concepts and knowledge, including depth estimation, multiple view geometry, and related fields*
Experience with large-scale dataset processing and management*
Knowledge of C++ and experience with real-time graphics programming*
Experience with building and maintaining ML infrastructure*

Compensation & Benefits

The annual salary range for this position is $125,000 to $150,000 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 BASED 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!

DigitalFish

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Machine Learning Engineer, Neural Radiance Fields