Applied Machine Learning Engineer, Smart Devices- Pico- San Jose

ByteDance

Education
Benefits
Qualifications
Skills

Responsibilities

About Team:

PICO is a leading VR/AR platform with independent innovation and R&D capabilities, focusing on VR all-in-one technology. PICO is committed to offering immersive and interactive VR experiences to our customers, including providing tailor-made solutions for our enterprise clients in the fields of education and healthcare.

Responsibilities

  • Develop AI applications for Smart Glasses, AR Glasses, MR Headsets and more smart wearables.
  • Engage early on innovative product concepts in the Product Incubation Team. Lead AI software prototyping efforts and user studies. Create and deploy innovative multimodal AI features that redefine smart device experience.
  • Develop and maintain Machine Learning (ML) models. Leverage open models as well as training new models. Design evaluation framework and carry out evaluations of the ML models.
  • Stay up-to-date on the latest machine learning techniques and technologies and apply them to our technical solutions. Propose, design, and implement data collection solutions, collect and clean data to tune and evaluate machine learning models.

Qualifications

Minimum Qualifications

  • Master or PhD in Computer Science or Equivalent.
  • Experience with Machine Learning or Deep Learning.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Self-motivated to learn new skills on a daily basis.

Preferred Qualifications

  • PhD in Computer Science.
  • Experience with Mobile Development.
  • Expertise in NLP, LLM, or Computer Vision.
  • Excellent teamwork, problem-solving, and investigative skills.
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Confirmed 9 hours ago. Posted a day ago.

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