Software Engineer III – AI/ML – Gtech
Company | |
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Location | San Francisco, CA, USA, Irvine, CA, USA, Pittsburgh, PA, USA, Sunnyvale, CA, USA, Boulder, CO, USA |
Salary | $141000 – $202000 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with data structures or algorithms.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Responsibilities
- Write product or system development code, and contribute towards improving code health, data hygiene and overall system reliability.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Preferred Qualifications
- Master’s degree or PhD in Computer Science or related technical fields.
- Experience developing accessible technologies.
- Experience working with Generative AI or ML platforms.
- Experience with prompt engineering and optimization.
- Ability to analyze metrics, solve problems, and iterate quickly.
- Ability to work cross-functional teams on high-velocity projects.