TikTok's U.S. Data Security (USDS) subsidiary is looking to enhance collaboration and cross-functional partnerships to inspire creativity and bring joy through short-form mobile video, while ensuring the security and protection of U.S. user data.
Requirements
- Strong machine learning background. Proficiency or publications in modern machine learning theories and applications, with at least one deep learning framework experience (e.g., PyTorch, TensorFlow);
- Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm;
- Minimum 2 years of industry experience in machine learning;
- Bachelor or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors;
- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.
- Industrial experience with large-scale production environments or high-growth tech companies;
- Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors;
Responsibilities
- Design and build machine learning solutions to support various AI features;
- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load;
- Run experiments to evaluate and debug models in production environments;
- Collaborate with cross-functional teams to ensure smooth deployment and monitoring of ML systems, uplevel machine learning excellence with large-scale data;
Other
- Ability to work in the office 3 days a week, or as directed by their manager/department;
- Bachelor or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors;
- Minimum 2 years of industry experience in machine learning;
- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
