ML Data and Search Engineer - SPG

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI


Role Number:200439674
Play a role in bringing autonomous technologies to the real world. As an engineer in the Special Projects Group, you will be part of a team building infrastructure, models, and tools for new technologies that will shape the future. We are looking for an experienced and highly motivated engineer to help build the next generation of data processing, modeling, and search systems. In this team, you will have the opportunity to explore and prototype solutions using the latest technologies, and engineer software products that help accelerate the development of cutting-edge autonomous systems.

Key Qualifications

  • Experience working with large/distributed datasets and non-/relational databases
  • Strong software engineering skills in complex, multi-language systems; fluency in Python
  • Experience working with cloud data processing technologies (AWS, Spark, Elasticsearch, SQL, Presto, etc)
  • Experience working with non-standard data types (e.g. camera imagery, serialized formats, bonus: ROS bags or similar)
  • Knowledge of data mining, statistical modeling, and machine learning methodologies
  • Ability to thrive in a fast-paced work environment
  • Clear and concise written and verbal communication skills


You will be building and integrating end-to-end data processing pipelines. You will contribute to developing a compelling and intuitive platform for introspecting and analyzing large datasets. You will work cross-functionally with specialists across robotics, high-performance computing, and machine learning to build data-driven solutions. • Develop and scale data processing pipelines using the latest open-source technologies • Develop novel analytical strategies to evaluate the data that an autonomous system both consumes and produces • Work on applied ML solutions in the areas of data mining, modeling, and forecasting • Be self-motivated in seeking solutions when the correct path isn’t always known • Mentor fellow engineers in your areas of expertise; contribute to a team culture that values effective collaboration, direct communication, technical perfection, and innovation • Influence and lead cross-functional initiatives that will align the project toward data-driven decision making

Education & Experience

• MS/PhD or equivalent experience in physical sciences, computer science, data science/machine learning, or other engineering background • 3+ years industry experience

Additional Requirements

Pay & Benefits