Applied Machine Learning Engineer, Smart Devices (PICO-Lab) - San Jose

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: phdSkills: ["Teamwork","Problem-solving","Investigative skills","Self-motivation","Continuous learning"]

Build and prototype AI applications for smart wearables including smart glasses and MR headsets. You’ll develop and maintain machine learning models using open models or training new ones, design evaluation frameworks, and implement data collection pipelines for tuning and assessment. Work closely with a product incubation team to create multimodal AI features, stay current with the latest ML techniques, and translate them into practical technical solutions.

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ByteDance
ByteDance
1 month ago

Applied Machine Learning Engineer, Smart Devices (PICO-Lab) - San Jose

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and prototype AI applications for smart wearables including smart glasses and MR headsets. You’ll develop and maintain machine learning models using open models or training new ones, design evaluation frameworks, and implement data collection pipelines for tuning and assessment. Work closely with a product incubation team to create multimodal AI features, stay current with the latest ML techniques, and translate them into practical technical solutions.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop AI applications for smart glasses, AR glasses, MR headsets, and other smart wearables.
  • •Engage with innovative product concepts and lead AI software prototyping efforts and user studies.
  • •Develop and maintain ML models using open models and training new models; design and run evaluation frameworks.
  • •Create and deploy multimodal AI features that redefine smart device experience.
  • •Propose, design, and implement data collection solutions to collect, clean, and use data to tune and evaluate models.

Key Requirements

  • •Master or PhD in Computer Science or equivalent.
  • •Experience with machine learning or deep learning.
  • •5+ years of experience with ML infrastructure, including model deployment, evaluation, optimization, data processing, and debugging.
  • •Self-motivated to learn new skills daily.
  • •Preferred: PhD in Computer Science, plus expertise in NLP/LLMs or computer vision and experience with mobile development.
Experience:5+ yearsXRWearablesMultimodal AIMachine learning
Education:PhD / Doctorate
Skills:TeamworkProblem-solvingInvestigative skillsSelf-motivationContinuous learning
Tech Stack:Machine learningDeep learningML infrastructureModel deploymentModel evaluationNLPLLMComputer visionMultimodal AI

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
WebsiteLinkedIn