Machine Learning Engineer Graduate (Recommendations and Search)

Location: San Jose, United States; fully in-person schedule up to 5 days a week

Salary: $122,574–$187,200 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates TikTok’s U.S. data privacy, cybersecurity, trust and safety, and user experience programs.

What you will do

• Design, build, train, and evaluate machine learning models for recommendation systems and search ranking.
• Develop pipelines for feature extraction, model training, evaluation, deployment, and A/B testing.
• Process large-scale user behavior data and catalog logs with distributed systems to create real-time and offline features.
• Optimize online inference latency and throughput for high-QPS production microservices.
• Analyze online metrics, identify bottlenecks, and iteratively improve models to support business goals.

Requirements

• Completing or recently completed a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
• Strong foundation in data structures, algorithms, computer systems, and software design.
• Strong theoretical and practical knowledge of machine learning concepts.
• Ability to commit to an onboarding date by the end of 2027 and clearly state availability and graduation date in the resume.

Nice to have

• Experience with recommendation systems, online advertising, information retrieval, natural language processing, machine learning, or large-scale data mining.
• Publications in relevant machine learning and information retrieval conferences or journals.
• Experience in data mining or machine learning competitions such as Kaggle or KDD Cup.

Culture & Benefits

• Medical, dental, and vision insurance from day one.
• 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
• Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
• Inclusive workplace with reasonable accommodations available during recruitment.
• On-site collaboration focused on speed, alignment, team development, and integrated execution.

Hiring process

• Applications are reviewed on a rolling basis.
• Candidates may apply to a maximum of two company or affiliate positions and are considered in application order.