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Lead the design and deployment of large-scale speech and language models for Otter.ai’s meeting transcription and summarization products using PyTorch/JAX.
Build and deploy large-scale speech and language models for Otter.ai’s meeting transcription and summarization products using PyTorch/JAX.
Build and deploy large-scale speech and language models for Otter.ai’s transcription, summarization, and conversational intelligence products using PyTorch/JAX.
Senior Software Engineer building AI-powered licensing workflows and data integrations using MuleSoft, APIs, and cloud-native tools to power Disney’s consumer products business.
About the role As a Machine Learning Scientist you will help define the future of multi-scale modeling. You will work closely with experts in thermodynamics, hydrometallurgy, process modeling, and autonomous…
Build and maintain GPU clusters and data-center automation for Crusoe’s AI infrastructure, including diagnostics, observability, and repair tooling for NVIDIA/AMD hardware.
Build and maintain automation, diagnostics, and observability tooling for Crusoe’s GPU clusters and data centers, ensuring high availability and performance for AI workloads.
Design and build generative AI and retrieval-augmented generation systems using Python, TensorFlow, and PyTorch to integrate AI into enterprise platforms.
Evaluate AI-generated ML models and data science solutions for accuracy, applying machine learning, statistical modeling, and Python/SQL to improve AI reasoning and performance.
Evaluate AI-generated data science solutions, models, and analyses for accuracy and reasoning quality, providing technical feedback to improve next-gen AI systems.
Lead AI/ML Engineer designs, deploys, and optimizes AI/ML solutions in AWS for federal clients, mentors teams, and evaluates emerging technologies while ensuring secure, scalable implementations.
Build predictive world models using generative AI and deep learning to simulate how scenes evolve, training autonomous driving and robotics policies from multimodal sensor data.
Build and deploy predictive weather models and spatio-temporal ML systems to power B2B weather intelligence products and optimize adtech performance using Python, PyTorch/TensorFlow, and distributed frameworks.
Build and deploy end-to-end ML models and AI services (LLMs, simulations, digital twins) using Python, TensorFlow/PyTorch, Docker/Kubernetes, and MLOps tooling in a DevOps environment.
Designs and optimizes AI model architectures for specialized hardware, mapping model requirements to efficient silicon implementations and improving performance and scalability.
Memwize is a VC-backed, stealth-mode startup building rack-level AI inference systems . We are seeking an experienced Senior/Principal Machine Learning Engineer to drive performance improvements in inference frameworks…
Memwize is a VC-backed, stealth-mode startup building rack-level AI inference systems . We are seeking a Senior/Principal Machine Learning Compiler Developer to build compiler capabilities from PyTorch through Triton…
Build and lead AI-powered financial risk systems using Python, TensorFlow/PyTorch, and cloud platforms to deliver credit scoring and fraud detection for banking and insurance.
Lead AI inference optimization and deployment for autonomous-vehicle models, tuning low-latency pipelines on embedded and cloud GPUs with CUDA, TensorRT, and LLM serving stacks.
Design and implement big-data architectures for retail AI teams using Databricks’ platform, APIs, and open-source tools like Spark and MLflow.
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