Software Engineer – Early Career – AI/Machine Learning
| Company | |
|---|---|
| Location | Cambridge, MA, USA, Seattle, WA, USA, San Francisco, CA, USA, Austin, TX, USA, Los Angeles, CA, USA, San Jose, CA, USA, Irvine, CA, USA, Raleigh, NC, USA, San Bruno, CA, USA, Durham, NC, USA, Pittsburgh, PA, USA, Kirkland, WA, USA, Reston, VA, USA, New York, NY, USA, Bellevue, WA, USA, Sunnyvale, CA, USA, Mountain View, CA, USA, Atlanta, GA, USA |
| Salary | $141000 – $202000 |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- PhD degree in Computer Science or related technical field.
- Experience coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, Python, or Golang.
- Experience in Machine Learning or Artificial Intelligence.
- Experience with Recommendation/Ranking/Prediction (RRP), Computer Vision (CV), Natural Language Processing (NLP), Speech/Audio, Deep Learning/Neural Networks, Reinforcement Learning, Distributed Machine Learning.
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide on 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.
Preferred Qualifications
- Experience in code and system health, diagnosis and resolution, and software test engineering.
- Experience developing accessible technologies.
- Ability to start full-time role in 2025.
Benefits
-
No information provided on Benefits.