Machine Learning Engineer Graduate (Tech and Product, USDS) - 2027 Start (AI)

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

Salary: $100,320–$177,840 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 content ecosystem programs.

What you will do

• Design, build, train, and evaluate machine learning models for recommendation systems, search ranking, query understanding, and conversion prediction.
• Implement pipelines for feature extraction, model training, evaluation, deployment, and A/B testing.
• Process massive 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 iterate on models to improve business and product outcomes.

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.
• Availability to commit to an onboarding date by the end of 2027 and clearly state availability and graduation date in the resume.

Nice to have

• Internship or project experience in recommendation systems, search engines, computational advertising, or e-commerce AI.
• Experience with distributed computing frameworks.

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.
• 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
• Work in a privacy- and security-focused environment supporting U.S. users and data.
• Reasonable accommodations are available during recruitment for protected needs.