Machine Learning Engineers

KanzSan Jose, CA, United States

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Job Overview

Senior Research Engineer, Machine Learning at TikTok. Location : San Jose. Employment type : Regular. Department : R&D. Job ID : M1758.

Responsibilities

Participate in the construction of a multi-party joint modeling and data analysis platform
Work with product teams to understand key privacy requirements from TikTok product family and convert research outcomes into technical solutions and product prototypes
Collaborate with research teams on complex experiments requiring optimized algorithms running on large datasets or sophisticated data processing
Build open-source tools and infrastructure for privacy-related research and engage with community contributors in external events including meetups, hackathons, and summits

Qualifications

PhD or Master's degree in Computer Science or a related field, or 3+ years of experience in related fields

Familiar with federated learning / distributed machine learning algorithms and experienced in federated learning frameworks and applications development

Familiar with machine learning and deep learning frameworks, such as TensorFlow, PyTorch, JAX

Interest in privacy-enhanced techniques (PET) and related domains : data and identity anonymization, differential privacy, secure multi-party computation, federated ML, on-device ML, interpretable AI, privacy-preserving tech for LLMs / foundation models, privacy-preserving regulation tech

Proficiency in at least one programming language : Go, C++, Python, Rust, or Java

Ability to work globally and collaborate within a team

Company Information & Benefits

TikTok is committed to an inclusive space and to celebrating diverse voices. TikTok provides reasonable accommodations in recruitment for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. For assistance or accommodation, contact us.

Compensation (base) : The base salary range for this position in the selected city is $194,000 - $355,000 annually. Total compensation may include bonuses / incentives and RSUs. Benefits include medical, dental, vision, disability, life insurance, FSA options, PTO, paid holidays, parental leave, mental health benefits, 401K match, and more. The Company reserves the right to modify benefits at any time.

Job Details

Seniority level : Mid-Senior level

Employment type : Full-time

Industry : Technology, Information and Internet

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Machine Learning Engineer • San Jose, CA, United States