ByteDance

1 day ago

Machine Learning Engineer (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Design and implement global-scale machine learning systems powering feeds, ads, and search ranking. Build and improve ML infrastructure usability, flexibility, and multitenancy resource management. Enhance model training and serving workflows, including data pipelines. Optimize overall ML system performance and develop tools to analyze model effectiveness, helping teams iterate faster at scale.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and implement global-scale ML systems for feeds, ads, and search ranking models.
•Improve ML infrastructure usability and flexibility.
•Enhance model training and serving workflows, including data pipelines and resource management for multitenancy ML systems.
•Optimize performance of the ML system.
•Design and implement tools to analyze ML model performance.

Pay and Benefits

Salary: USD 174,304 - 316,800 annually

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science/Engineering/Information Systems/Data Science/Mathematics (or related) with 1 year of related experience, or a Bachelor’s degree (or foreign equivalent) with 3 years of related experience.
•1 year of experience coding using Python or C++.
•1 year of experience optimizing, training, and deploying machine learning models with Python and mainstream ML frameworks.
•1 year of experience using big data frameworks including MySQL, Spark, Hadoop, or Flink.
•1 year of experience building and optimizing components/models/strategies for e-commerce or ad delivery systems, including bidding, ranking, and auction.

Experience:1-3 years

Education:Master's in Computer Science, Engineering, Information Systems, Data Science, or Mathematics (or related field)

Skills:Problem-solvingCuriosityHumilityImpact-oriented

Tech Stack:PythonC++Machine learningMachine learning frameworksMySQLSparkHadoopFlinkData pipelinesMultitenancyBiddingRankingAuctionE-commerceAd deliveryFeedsSearch ranking

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

1 day ago

Machine Learning Engineer (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and implement global-scale ML systems for feeds, ads, and search ranking models.
•Improve ML infrastructure usability and flexibility.
•Enhance model training and serving workflows, including data pipelines and resource management for multitenancy ML systems.
•Optimize performance of the ML system.
•Design and implement tools to analyze ML model performance.

Pay and Benefits

Salary: USD 174,304 - 316,800 annually

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science/Engineering/Information Systems/Data Science/Mathematics (or related) with 1 year of related experience, or a Bachelor’s degree (or foreign equivalent) with 3 years of related experience.
•1 year of experience coding using Python or C++.
•1 year of experience optimizing, training, and deploying machine learning models with Python and mainstream ML frameworks.
•1 year of experience using big data frameworks including MySQL, Spark, Hadoop, or Flink.
•1 year of experience building and optimizing components/models/strategies for e-commerce or ad delivery systems, including bidding, ranking, and auction.

Experience:1-3 years

Education:Master's in Computer Science, Engineering, Information Systems, Data Science, or Mathematics (or related field)

Skills:Problem-solvingCuriosityHumilityImpact-oriented

Tech Stack:PythonC++Machine learningMachine learning frameworksMySQLSparkHadoopFlinkData pipelinesMultitenancyBiddingRankingAuctionE-commerceAd deliveryFeedsSearch ranking

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn