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19 часов назад

Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start (PhD)

136 800 - 259 200$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start (PhD) (Machine Learning/Recommendations and Search): Building and scaling machine learning solutions for recommendation engines, search relevance, and e-commerce systems with an accent on model training, feature pipelines, and personalized user experiences. Focus on processing massive user behavior data, optimizing high-QPS online inference, and designing continuous A/B testing for production systems.

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

Salary: $136,800–$259,200 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates TikTok products for U.S. users with a focus on data privacy, cybersecurity, trust and safety, reliability, and product support.

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 system throughput for high-QPS production microservices.
  • Analyze online metrics, identify bottlenecks, and iterate on models to support business goals.

Requirements

  • Completing or recently completed a PhD 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.
  • Availability to onboard by the end of 2027 and a clearly stated graduation date in the resume.
  • Ability to work fully in person in San Jose, up to 5 days per week.

Nice to have

  • Experience with recommendation systems, online advertising, information retrieval, natural language processing, large-scale data mining, or related fields.
  • Publications in relevant machine learning, data mining, or information retrieval conferences and journals.
  • Experience in machine learning or data mining 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, life insurance, and wellbeing benefits.
  • 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
  • Inclusive workplace with reasonable accommodations available during recruitment.

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