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3 дня назад

Senior Machine Learning Engineer, Recommendations - USDS

187 040 - 359 720$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Senior Machine Learning Engineer, Recommendations - USDS (Machine Learning/Recommendation Systems): Building large-scale recommendation algorithms and predictive models for TikTok feeds, e-commerce, live streams, and short videos with an accent on user interest modeling, candidate generation, ranking, and real-time data pipelines. Focus on feature engineering, deep learning model optimization, and solving large-scale personalization challenges across systems serving 10 million to 100 million users.

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

Salary: $187,040–$359,720 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

USDS Joint Venture operates TikTok apps under data privacy and cybersecurity safeguards designed to protect U.S. user data, the apps, and the algorithm.

What you will do

  • Build large-scale recommendation algorithms and systems for commodity, e-commerce, live stream, and short video recommendations.
  • Develop long- and short-term user interest models from large and diverse datasets.
  • Design, evaluate, and iterate on predictive models for candidate generation and ranking, including click-through-rate and conversion-rate prediction.
  • Build real-time data pipelines, perform feature engineering, and optimize machine learning models.
  • Design supporting and debugging tools for recommendation systems.

Requirements

  • Bachelor’s degree or higher in Computer Science or a related field.
  • Strong programming and problem-solving skills.
  • Applied machine learning experience with algorithms such as collaborative filtering, matrix factorization, factorization machines, Word2vec, logistic regression, gradient boosting trees, deep neural networks, or wide and deep models.
  • Experience with TensorFlow or PyTorch.
  • Proficiency in at least one programming language, such as C++ or Python.

Nice to have

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

Culture & Benefits

  • On-site collaboration supports fast decision-making, team development, and integrated execution.
  • 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.

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