Software Engineer, AI/ML, PhD, Early Career, 2026
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Software Engineering
In short
Google seeks a Software Engineer with a PhD in Computer Science or a related field for an early career role in Bengaluru, India. This position focuses on AI/ML, including speech/audio processing, reinforcement learning, and ML infrastructure, requiring proficiency in programming languages like Python or C++.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
- Contribute to existing documentation or educational content.
- Triage product or system issues and debug/track/resolve them.
- Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Requirements
- PhD degree in Computer Science, Electrical Engineering, or a related technical field.
- 1 year of experience with one or more of the following: Speech/audio, reinforcement learning, 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).
- Experience coding in one of the following programming languages including but not limited to: C, C++, Python, Java, or Golang.
Desired Qualifications
- 2 years of experience with data structures and algorithms.
- Experience in areas such as algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or general systems.
- Demonstrated success in publishing peer-reviewed articles in prestigious conferences or journals (e.g., ICML, ICLR, ACL, KDD, SOSP, Nature).
- Availability to commence a full-time position in 2026.
Benefits
- Opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
- Work on a specific project critical to Google’s needs.
#AI/ML#Software Engineering#Computer Science#Electrical Engineering#Speech/Audio#Reinforcement Learning#ML Infrastructure#Data Structures#Algorithms#Artificial Intelligence#Machine Learning#Data Mining#Distributed Systems#Networking#Systems