Staff Software Engineer - Human Understanding (Physiology,Activity,State)

Meta • United States, United States • 2w ago

Summary:

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.

Required Skills:

Staff Software Engineer - Human Understanding (Physiology,Activity,State) Responsibilities:

Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences

Implement custom user interfaces using latest programming techniques and technologies

Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews

Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members

Architect efficient and scalable systems that drive complex applications

Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt

Work on a variety of coding languages and technologies

Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:

Programming experience in a relevant language

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Demonstrated experience driving change within an organization and leading complex technical projects

Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Preferred Qualifications:

PhD or equivalent experience in a relevant field (e.g., Computer Vision, Machine Learning, Signal Processing, Robotics, Human-Computer Interaction, Biomedical Engineering or related)

Proven track record of leading design and deployment of end-to-end systems for an complex sensing feature on consumer-facing hardware (such as edge devices, wearables) involving algorithms for sensor-derived data streams, machine learning for real-world data

Proven experience in designing and overseeing data collection strategies for user-facing features for relevant sensors, ensuring data quality and scalability through effective cross-functional collaboration

Experience with large-scale model training, transfer learning and data-efficient ML in relevant field

Experience in building scalable multi-modal data pipelines, model training, and deployment frameworks for wearables or mobile devices in relevant technologies

Experience with privacy, security, or regulatory aspects of data-driven products in the relevant field

Industry: Internet

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