This position is no longer available
Machine Learning Research Engineer / Scientist
on-site•Seattle, Kirkland•$120k - $250k+ 0.25% - 1.00%
Summary
Location
Seattle, Kirkland
Salary
$120k - $250k
Equity
0.25% - 1.00%
Workplace
On-site
Experience
0+ years
Visa
US citizen/visa only
Company links
This position is no longer available
This job listing has been removed by the employer and is no longer accepting applications.
Browse Similar JobsAbout this role
Machine Learning Research Engineer / Scientist at Silurian (S24)
$120K - $250K • 0.25% - 1.00%
Foundation models to simulate Earth, starting with weather.
Seattle, WA, US
Full-time
US citizen/visa only
Any (new grads ok)
About Silurian
At Silurian, we’re building foundation models to simulate the Earth, starting with the weather. Our mission is to scale these models to their full potential and push them to the limits of physical predictability. Ultimately, we aim to model all infrastructure that is impacted by weather including the energy grid, agriculture, logistics, and defense. Hence: simulate the Earth.
About the role
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, energy, and beyond.
What You'll Do
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 optimization 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, Jax or similar).
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 foundation models for the physical world!
What you'll do
- 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 optimization 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.
About Silurian
FoundersCristian Bodnar Chief Scientist of Silurian. I was previously a Senior Researcher at Microsoft Research where I co-lead the development of the Aurora foundation model. During my PhD at Cambridge, I've also spent time in top AI industry labs like Google Brain, Google X and Twitter Cortex.Jayesh K. Gupta Jayesh is Co-founder and CEO of Silurian AI. Previously he was the Head of AI at Poly Corporation. He led the development of the first foundation model for weather & climate as researcher at Microsoft and was the co-author of Aurora. Jayesh holds a Ph.D. in CS from Stanford.Nikhil Shankar Nikhil is a co-founder and chief engineer at Silurian AI. Previously he was a software engineer at AWS SageMaker and prior to that he dropped out of his PhD in applied mathematics where he was working on problems in fluid dynamics.AboutAt Silurian, we’re building foundation models to simulate the Earth, starting with the weather. Our mission is to scale these models to their full potential and push them to the limits of physical predictability. Ultimately, we aim to model all infrastructure that is impacted by weather including the energy grid, agriculture, logistics, and defense. Hence: simulate the Earth.
Looking for similar opportunities?
Browse other open positions that match your skills
Frequently Asked Questions
What does Silurian pay for a Machine Learning Research Engineer / Scientist?
Silurian offers a competitive compensation package for the Machine Learning Research Engineer / Scientist role. The salary range is USD 120k - 250k per year, plus 0.25% - 1.00% equity. Apply through Clera to learn more about the full compensation details.
What does a Machine Learning Research Engineer / Scientist do at Silurian?
As a Machine Learning Research Engineer / Scientist at Silurian, you will: 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 optimization of training and inference pipelines for maximum performance.; and more.
Is the Machine Learning Research Engineer / Scientist position at Silurian remote?
The Machine Learning Research Engineer / Scientist position at Silurian is based in Seattle, United States and Kirkland, United States and is on-site. Contact the company through Clera for specific work arrangement details.
How do I apply for the Machine Learning Research Engineer / Scientist position at Silurian?
You can apply for the Machine Learning Research Engineer / Scientist position at Siluriandirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.