ML Engineer: Real-Time Recommendations

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 123,000 - 187,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

10 paid holidays

10 paid sick days

17 days of Paid Personal Time

Job summary

TikTok USDS Joint Venture is seeking graduates for roles in machine learning and data systems to design, build, and scale high-impact ML solutions for US users. You will work on recommendation engines, search relevance, and e-commerce systems with strong emphasis on privacy, data governance, and security.

Successful candidates will join a team focused on onboarding before year-end and will contribute to end-to-end ML pipelines, offline-to-online deployment, and continuous experimentation to

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Math, Statistics or related discipline.
• Solid background in Data Structures, Algorithms, Computer Systems, and Software Design.
• Strong theoretical understanding and practical knowledge of machine learning concepts.

Responsibilities

• Design, build, train, and evaluate machine learning models for recommendation systems or search ranking.
• Implement efficient pipelines for feature extraction, model training, evaluation, offline-to-online deployment, and A/B testing.
• Process and analyze massive user behavior data and catalog logs using distributed systems to construct real-time and offline features.
• Optimize online inference latency and system throughput for high-QPS production microservices.
• Conduct continuous A/B testing, analyze online metrics, identify bottleneck areas, and iterate on models to drive business goals.

Skills

Machine Learning

Distributed Systems

Data Analysis

A/B Testing

Education

Bachelor's or Master's degree in Computer Science, Engineering, Math, Statistics

Job description

TikTok USDS Joint Venture is seeking graduates for roles in machine learning and data systems to design, build, and scale high-impact ML solutions for US users. You will work on recommendation engines, search relevance, and e-commerce systems with strong emphasis on privacy, data governance, and security.

Successful candidates will join a team focused on onboarding before year-end and will contribute to end-to-end ML pipelines, offline-to-online deployment, and continuous experimentation to