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Silurian AI · 3 months ago

Machine Learning Research Engineer / Scientist

Seattle, WA, US

Full-time

Onsite

Mid Level

$120K/yr - $250K/yr

Silurian AI is building foundation models to simulate the Earth, focusing on weather and its impact on various infrastructures. They are seeking Machine Learning Research Engineers / Scientists to develop, train, and deploy large-scale AI foundation models, contributing to groundbreaking research and innovative solutions.

Artificial Intelligence (AI)Environmental ConsultingInsurance

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 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

Qualification

Deep learning modelsPythonDistributed training systemsML frameworksLarge-scale data pipelinesSoftware engineering practicesSystem design principlesTransformersDiffusion modelsSelf-supervised learningFoundation model trainingProblem-solving skillsCommunication skillsCollaboration abilities

Required

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

Preferred

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