Software Engineer III, Machine Learning, Search Intelligence

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.
• 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, data processing, debugging).

Nice to haves:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience programming in C++.
• Experience with or strong interest in model distillation, knowledge transfer, or teacher-student model architectures.
• Experience processing large datasets or fine-tuning models utilizing Large Language Models (Prompting, SFT, RL).
• Experience with ML frameworks (e.g., JAX, TensorFlow, or PyTorch) and performance optimization.
• Familiarity with search ranking systems, information retrieval metrics, and handling long-tail data distributions.

What you'll be doing:

• Design, train, test, and deploy core ranking and machine learning models for Google Search.
• Build and maintain data pipelines to transition training data from human ratings to LLM-generated labels, utilizing SFT and RL techniques.
• Contribute to model distillation pipelines, helping transfer knowledge from large teacher models to efficient production student models.
• Write and maintain model training and large-scale batch processing infrastructure using Python and C++.
• Collaborate with peers through design and code reviews, evaluate A/B experiments, and integrate model improvements.

Perks and benefits:

• Opportunity to work on next-generation technologies.
• Versatile work environment with opportunities to switch teams and projects.
• Impactful work on projects critical to Google's needs.
• Participate in experimentation and scalable engineering.