Neural Network Jobs in Seattle
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Search Results - Neural Network Jobs in Seattle
Blue Signal SearchSeattle
including practical experience building, optimizing, and implementing complex neural network solutions in real-world environments.
• Strong background leveraging scalable machine learning platforms and parallel computing tools to support complex model...
Cypress HCMSeattle
Hands-on expertise with modern machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Deep understanding of transformer architectures, neural networks, generative IA, and natural language processing.
• Experience developing AI applications...
PwCSeattle
Applying deep learning techniques and neural networks to improve predictive analytics- Collaborating with stakeholders to address data challenges and optimize AI applications- Mentoring team members to develop skills in AI implementation and data...
Blue Signal SearchSeattle
to drive measurable system improvements.
• Collaborate across product and engineering to turn ambiguous challenges into scalable, production-ready solutions.
Skill Set
• Strong foundation in machine learning, neural networks, and modern model...
AmazonSeattleamazon.jobs
models across all products listed on Amazon.
This role requires an individual with exceptional machine learning modeling and architecture expertise — particularly in deep learning, neural networks, and transformer-based architectures applied to price...
Opeongo-aiSeattle
Experience with transformers, graph neural networks, diffusion or generative models applied to
structured scientific data
• Foundation model work — pre-training, adaptation, or rigorous evaluation
• Multimodal or cross-modal modeling, including work...
AmazonSeattleamazon.jobs
working on big data, and neural network models. They have experience owning and maintaining highly-available, mission-critical systems. Experience in Advertising domain is a plus. You will need to have strong problem-solving and technical abilities, great...
AmpaceSeattle
informed neural networks, neural operators) into fast multiphysics surrogate models.
4. Lead inverse-design using active learning and Bayesian optimization to cut physical trial-and-error and the number of DOE runs.
5. Design and maintain versioned, high...
Atlassian Corp.Seattleappcast.io
278,123
Zone C: $196,461 - $256,491
What We're Looking For
Experience
8+ years in ML/AI engineering, with deep expertise in knowledge graphs, graph neural networks, or entity/relationship extraction.
Proven track record of building and shipping ML...
2027 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) -...
AmazonSeattleamazon.jobs
are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures...
AmazonSeattleamazon.jobs
Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data...
AmazonSeattleamazon.jobs
is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution.
As a Software Development Engineer on the team, you...
AmazonSeattleamazon.jobs
alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models...
AmazonSeattleamazon.jobs
team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution.
As a Senior SDE, you will be responsible...
AmazonSeattleamazon.jobs
for scientific or high-stakes domains
• Experience with clinical data standards (e.g., SDTM/ADaM) or regulatory science
• Experience with graph neural networks or causal inference
• Domain experience in life sciences or computational biology (protein engineering...
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