Machine Learning Engineer Graduate (On-Device AI) - 2025 Start (PhD)

$136,800 - $205,000/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The On-Device AI Team at TikTok is at the forefront of embedding advanced AI technologies directly into devices worldwide. Leveraging our proprietary AI engine, we streamline the creation, integration, testing, and deployment of AI-driven features. Our work enhances user experience by powering diverse functionalities, including visual enhancements, video editing tools, and creative camera filters, both within TikTok and other applications. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok. Successful candidates must be able to commit to an onboarding date by the end of the year 2025. We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis, and we encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.

Responsibilities

• Develop and enhance the core On-Device AI engine for diverse platforms.
• Employ efficient machine learning techniques and hardware optimizations to improve algorithmic performance.
• Seamlessly integrate state-of-the-art AI algorithms into TikTok and additional products.
• Translate emerging research into practical, user-centric applications.

Requirements

• PhD in Computer Science or in a related field
• 3+ years of professional Python/C++ experience, solid CS fundamentals and problem-solving skills
• 1+ years experience of AutoML / model optimization
• Excellent communication and teamwork skills, capable of thriving in a fast-paced work environment.

Nice-to-haves

• Experience with inference acceleration and performance tuning. Have a deep understanding of GPU and NPU
• Deep knowledge in machine learning optimizations such as quantization, pruning, knowledge distillation, Neural Architecture Search (NAS), and optimizations for large models.
• Familiar with one or more open-source deep learning frameworks, such as PyTorch, DeepSpeed, Jax etc. Experience in contributing to open-source projects is preferred.
• Published research papers or contributions to the ML system and AutoML community would be a significant plus.

Benefits

• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with a company match
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care
• 10 paid holidays per year
• 17 days of Paid Personal Time Off (PPTO)
• 10 paid sick days per year
• 12 weeks of paid Parental leave
• 8 weeks of paid Supplemental Disability
• Mental and emotional health benefits through our EAP and Lyra
• 401K company match
• Gym and cellphone service reimbursements