Principal Data & AI Engineer

Job highlights Identified by Google from the original job post Qualifications • Proven track record in developing and deploying deep learning models • Advanced proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Jax) • Demonstrated experience with distributed training systems and large-scale data pipelines • Strong software engineering practices and system design principles • Excellent problem-solving and analytical skills • Outstanding communication and collaboration abilities • MSc or PhD in Artificial Intelligence, Computer Science, or related technical field • Published research in prestigious AI conferences/journals (NeurIPS, ICML, etc.) • Hands-on experience with one or several of the following: transformers, diffusion models, self-supervised learning, foundation model training/fine-tuning • 6 more items(s) Responsibilities • Architect and implement innovative ML models for complex spatiotemporal data analysis • Lead end-to-end development of large-scale AI systems, from research to production • Drive the optimisation of training and inference pipelines for maximum performance • Conduct validation experiments and performance analysis • Spearhead long-term research initiatives with significant real-world impact • Collaborate with world-class researchers and engineers • 3 more items(s) More job highlights Job description Machine Learning Researcher | Python | PyTorch | Machine Learning | Deep Learning | Hybrid, Seattle, WA

Role Overview

We are seeking Machine Learning Research Engineers / Scientists to join our team working on groundbreaking physics foundation models.

The successful candidate will develop, train and deploy to production large-scale AI foundation models for weather and energy.

What You'll Do

• A...rchitect and implement innovative ML models for complex spatiotemporal data analysis.

• Lead end-to-end development of large-scale AI systems, from research to production.

• Drive the optimisation of training and inference pipelines for maximum performance.

• Conduct validation experiments and performance analysis.

• Spearhead long-term research initiatives with significant real-world impact.

• Collaborate with world-class researchers and engineers.

We expect you to have

• Proven track record in developing and deploying deep learning models.

• Advanced proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Jax).

• Demonstrated experience with distributed training systems and large-scale data pipelines.

• Strong software engineering practices and system design principles.

• Excellent problem-solving and analytical skills.

• Outstanding communication and collaboration abilities.

Nice to have

• MSc or PhD in Artificial Intelligence, Computer Science, or related technical field.

• Published research in prestigious AI conferences/journals (NeurIPS, ICML, etc.).

• Hands-on experience with one or several of the following: transformers, diffusion models, self-supervised learning, foundation model training/fine-tuning.

Join us in pushing the boundaries of physics foundation models!

Machine Learning Researcher | Python | PyTorch | Machine Learning | Deep Learning | Hybrid, Seattle, WA Show full description Report this listing Loading...