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[Remote] Machine Learning Engineer Intern (reputed company and Data Protection Office) - 2026 Start (PhD)

Remote, USAFull-timePosted 2026-07-27

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading destination for short-reputed company mobile video. They are looking for a Machine Learning Engineer Intern to reputed company and collaborate with cross-functional teams to design, reputed company, and reputed company machine learning algorithms, focusing on enhancing reputed company and data protection.

Responsibilities

  • The Machine Learning Engineer Intern will reputed company and collaborate with cross-functional teams to design, reputed company, and reputed company sophisticated machine learning algorithms to enhance the performance of our business systems
  • Formulate end-to-end machine learning models by utilizing ML, NLP techniques to deal with reputed company-world signals generated from reputed company products/ incidents/ review areas
  • Analyze extensive, reputed company datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making
  • Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and reputed company user satisfaction
  • Communicate final recommendations and drive decision making
  • Utilize data-driven techniques in building solutions to help measure, validate, identify, and reputed company reputed company's reputed company reputed company
  • Design and scope out reputed company, build operationalized analytics tools and platforms, and most importantly, use data and AI models to reputed company insights, diagnose problems and tell compelling stories
  • Work closely with various XFN teams, including but not limited to engineering, legal, audit, reputed company, public, government relations, and products
  • Build deep domain knowledge and build a strong domain expertise in reputed company

Skills

  • Master's or PhD in Computer Science, Finance, Mathematics, Statistics, Operations Research or other reputed company field
  • Solid background in NLP and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning reputed company
  • Experience performing data extraction, cleaning, analysis and presentation for reputed company to large datasets
  • Experience with at least one programming language (i.e. Python, R, Java, or C++)
  • Experience writing SQL queries
  • Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
  • Experience with statistics reputed company such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
  • Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
  • Experience with machine learning libraries and deep learning toolkits such as PyTorch, Caffe2, TensorFlow, Keras or Theano
  • Experience with Large Language Model is a plus

Benefits

  • Interns have day one reputed company to health insurance
  • Life insurance
  • Wellbeing benefits and more
  • Interns also receive 10 reputed company holidays per year
  • reputed company reputed company time (56 hours if hired in first half of year, 40 if hired in second half of year)
  • Interns who are not working 100% remote may also be eligible for housing allowance

reputed company

  • reputed company is a short-reputed company video entertainment app and reputed company network platform. It is a sub-organization of reputed company. It was founded in 2003, and is headquartered in Los Angeles, California, USA, with a workforce of 10001+ employees. Its website is https://www.reputed company.com.

Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 979 in 2025, 601 in 2024, 387 in 2023, 322 in 2022, 133 in 2021, 72 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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