Google - New York, NY

posted 2 months ago

Full-time - Mid Level
New York, NY
Web Search Portals, Libraries, Archives, and Other Information Services

About the position

As a Senior Software Engineer in Machine Learning at Google Research, you will be responsible for developing next-generation technologies that enhance how users connect and interact with information. This role involves working on critical projects that require a blend of software engineering and machine learning expertise, with opportunities to influence product development and conduct fundamental research. You will manage project priorities, deadlines, and deliverables while designing, developing, testing, deploying, maintaining, and enhancing software solutions.

Responsibilities

  • Write and test product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
  • 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with ML/AI algorithms and tools, deep learning or natural language processing.

Nice-to-haves

  • Master's degree or PhD in Computer Science or related technical field.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.

Benefits

  • Health insurance
  • 401k
  • Paid holidays
  • Flexible scheduling
  • Professional development
  • Tuition reimbursement
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service