Machine Learning Engineer Graduate

About the Role

The Tech and Product team of TikTok USDS empowers TikTok users with strong data security and privacy protections, focusing on compliance, reliability, business and product support, and efficiency improvement. This role involves building and scaling high-impact Machine Learning solutions, including recommendation engines, search relevance, and e-commerce systems, for personalized, high-performing experiences while ensuring data governance, privacy compliance, and system security for US users. This is a graduate role with opportunities for growth, innovation, and tackling complex challenges.

Key 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.

Requirements & Tech Stack

• Solid background in Data Structures, Algorithms, Computer Systems, and Software Design.
• Strong theoretical understanding and practical knowledge of machine learning concepts.
• Commitment to an onboarding date by the end of the year.

Qualifications

• Individuals who are completing or have recently completed a Bachelor's/Master's degree in Computer Science, Engineering, Math, Statistics, or a related discipline.
• Preferred: Experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
• Preferred: Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup.

Job Information

• Base Salary Range: $100,320 - $177,840 annually.
• Compensation may vary based on qualifications, skills, competencies, experience, and location.
• Potential eligibility for additional discretionary bonuses/incentives, and restricted stock units.
• Benefits: Medical, dental, and vision insurance (day one access), 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits.
• Paid Time Off: 10 paid holidays, 10 paid sick days, 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
• This role requires an in-person schedule up to 5 days a week.