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

About Team: PICO system prototyping team’s mission is to incubate the next generation XR products including MR headsets, AR glasses and more smart wearables.

Based on ByteDance group’s vision, the team independently comes up with product vision, roadmap, definition, architecture as well as initial designs including experience, structural, electrical, firmware as well as software.

The startup style team has always been working on system-level missions that are tremendously commercially valuable yet seem technically impossible, therefore, we are also called the IMF.

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.

Minimum Qualifications - Master or PhD in Computer Science or Equivalent. - Experience with Machine Learning or Deep Learning. - 5+ 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.