Software Engineer, AI/ML, Learning and Sustainability

About the Role

Key Responsibilities

• Implement solutions in one or more specialized machine learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.
• Train machine learning models and optimize quality through training data, prompts, reinforcement learning (RL), hyperparameters, or architecture changes.
• Work with team leaders and product managers to define quality goals.
• Generate new ideas for product improvements, partnering with engineers from Search / LearnX, and researchers from DeepMind.
• Evaluate trained models through autoraters, human evaluation, and live experiments.
• Define and refine evaluation methods as necessary.
• Develop in a changing and ambiguous environment, embracing an iterative approach to manage quality issues effectively.

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 technology, 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).

Nice to Have

• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.
• Experience in machine learning or adjacent fields (e.g., information retrieval, natural language processing, computer vision).

Qualifications

• Educational background including a Bachelor's degree or higher, with preferred advanced degrees.

Benefits & Perks

• US base salary range of $141,000-$202,000 plus bonus, equity, and benefits.
• Compensation details reflect the base salary only; bonus, equity, and benefits are additional.