Staff Software Engineer, On Device Machine Learning
- Machine learning
- Other places
- 06/12/2024
- -
Company: Samsung Research America
Location: Mountain View, CA
Job Title: Staff Software Engineer, On Device Machine Learning
At Samsung's Mountain View Mobile R&D lab, we're not just keeping up with technology trends; we're setting them. Our engineers tackle some of the most challenging problems in our industry, from prototyping next-generation products for Samsung Galaxy phones to enhancing the core platform's performance. We create mobile applications that resonate with global consumers and explore pioneering technologies. Now, you have the chance to be a part of this transformative team.
As a Staff Software Engineer focused on Machine Learning, you’ll join our Samsung Avatar team to develop cutting-edge AI-based Avatars. Engage in crafting our AR-Emoji platform and make your mark in a burgeoning area of mobile graphics and AI-driven avatars within our Immersive Experience Lab.
Candidates should have an MS/PhD in Computer Science or a related field, combined with at least 6 years of pertinent industry experience. You must have a robust background in data structures, algorithm design, and machine learning frameworks such as TensorFlow, Keras, or PyTorch.
We provide a compelling compensation package, with a base pay range of $151,200—$207,750 USD, plus eligibility for an annual bonus and comprehensive benefits. This role is based in our office, equipped with high-standard facilities to support your best work.
Samsung Research America is an Affirmative Action and Equal Opportunity Employer. We consider all qualified applicants regardless of race, color, religion, sex, national origin, disability, or protected veteran status. We uphold strong ethics regarding the employment of individuals with disabilities and ensure all applicable laws are followed.
If this opportunity excites you, apply today and revolutionize the way we interact with technology! Contact [email protected] for any accommodations required during the application process due to disability.