Staff / Principal AI Researcher

We are seeking Staff and Principal level AI Researchers with extensive experience in researching designing and implementing machine learning models and algorithms. You will be at the forefront of advancing our AI capabilities by developing state-of-the-art models and contributing to cutting-edge research in artificial intelligence. Your work will involve exploring novel ideas training large-scale models and collaborating closely with other researchers and engineers to push the boundaries of what's possible in AI.

Qualifications

• PhD or equivalent experience in Computer Science Machine Learning Artificial Intelligence or a related technical field.

• Strong background in machine learning research demonstrated by publications or significant contributions to the field.

• Experience in training large models and working with state-of-the-art approaches in machine learning.

• Proficiency with ML frameworks such as PyTorch TensorFlow or JAX.

• Knowledge of advanced AI architectures including transformers diffusion models and reinforcement learning techniques.

• Programming skills in Python or similar languages.

• Familiarity with pre-training fine-tuning and evaluating LLMs such as LLaMA Mistral Qwen etc. is a significant plus.

You May Be a Good Fit If You Have

• Have a track record of innovating and improving machine learning algorithms.

• Are passionate about understanding and developing model architectures and enjoy performing careful empirical research.

• Own and pursue a research agenda choosing impactful problems and autonomously carrying out long-term projects.

• Enjoy collaborating in a team environment working together to make significant discoveries.

• Are excited about staying up-to-date with the latest advancements in machine learning research and its applications.

• View research and engineering as two sides of the same coin engaging in both to achieve your goals.

Responsibilities

• Conduct cutting-edge research to advance our AI models and capabilities.

• Develop and implement novel machine learning techniques experimenting with new architectures and algorithms.

• Train and evaluate large-scale ML models optimizing for quality latency and cost.

• Collaborate with cross-functional teams sharing insights and integrating research findings into our products.

• Communicate results internally and publicly contributing to the broader AI community.

• Mentor junior researchers and engineers fostering a culture of learning and collaboration.

Representative Projects

• Exploring the impact of new attention mechanisms within transformer architectures to improve model quality and latency.

• Investigating methods for 3D animation synthesis by performing ablation study to thoroughly compare diffusion vs flow-matching based approaches.

• Developing algorithms for on-device AI optimizing transformer-based models for specific hardware constraints.

• Researching and implementing techniques for creating new AI voices enabling developers to generate and use them at runtime.

In-office location: Mountain View CA United States.

Remote location: United States.

The US base salary range for this full-time position is $240000 - $385000. In addition to base pay total compensation includes equity and benefits. Within the range individual pay is determined by work location level and additional factors including competencies experience and business needs. The base pay range is subject to change and may be modified in the future.

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