Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
4 weeks ago
Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start Locations: Sunnyvale, CA, USA; Atlanta, GA, USA; Kirkland, WA, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; San Bruno, CA, USA; Seattle, WA, USA. Minimum qualifications PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical experience. Experience coding in one of the following programming languages: Python, C, C++, Java, JavaScript, or Golang. Experience in Machine Learning or Artificial Intelligence. Preferred qualifications Research experience in designing, developing, or applying ML/AI systems or applications in a large‑scale distributed environment. Experience in designing, training, or refining complex ML/AI models. Experience in deep learning frameworks like TensorFlow, Jax, or PyTorch. Experience building a stack for an AI‑powered application, including data ingestion and processing pipelines, building APIs, and connecting the model to a user‑facing interface. Familiarity with model architectures such as CNNs, NLP Transformers, and Diffusion/Vision Transformers. Availability to start full‑time in 2026. Responsibilities Collaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using research expertise. Support building end‑to‑end ML systems that involve working across the full stack, from low‑level hardware acceleration and compiler optimizations to high‑level model architecture and production APIs, transforming research expertise into robust, scalable products. Optimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems to meet stringent customer goals. Elevate engineering excellence by writing well‑tested code, conducting code reviews, and fostering a culture of quality by advocating best engineering practices. The US base salary range for this full‑time position is $141,000–$202,000 plus bonus, equity, and benefits. Salary is determined by role, level, and location and may vary based on experience and skills. Google is proud to be an equal‑opportunity and affirmative‑action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any basis protected by law. #J-18808-Ljbffr
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