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Store - JAX-ORANGE PARK, FLThe Merchandise Manager drives merchandising and operational execution, including truck processing, inventory routines, planogram sets, and visual standards. This role ensures accurate…
Store - JAX-ORANGE PARK, FLThe Sales Manager leads and champions a high-performing selling culture across the store, driving strong sales results and an engaging customer experience. This role oversees front-end and…
Job Title: AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular-Long Term Assignment Percentage of Travel Required: Up to 10% Type of Travel:…
Machine Learning Engineer on Apple's ML Platform Technology team, building large-scale ML systems and data curation infrastructure that power Apple Intelligence and foundation models behind Siri, Search, Music, and other services. Work focuses on optimizing multi-billion-parameter language, vision, and speech models for production-scale serving using frameworks like PyTorch, TensorFlow, or JAX.
Machine Learning Research Engineer who builds ML systems to predict protein functionality and accelerate food-science R&D, plus applies AI (agents, internal tools) across the company. Core stack: Python with PyTorch/JAX/TensorFlow, and methods like protein representation learning, graph/geometric deep learning, generative/diffusion models, active learning, and Bayesian optimization.
Develops and leads an AI compiler (TT-Forge) using MLIR, optimizing graph transformations and kernel-level passes for high-performance AI workloads across hardware/software stacks.
Software Engineer on the AI Models/System Bring-Up team responsible for porting, validating, and optimizing AI models on Tenstorrent platforms. Core technologies include PyTorch, TensorFlow, JAX, Python, C++, and Linux environments.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify…
Senior Software Engineer building TT-Forge, an MLIR-based AI compiler at Tenstorrent, optimizing computational graphs and creating custom dialects to run AI workloads on Tenstorrent hardware. Core technologies: C++, Python, MLIR, and ML frameworks like PyTorch and JAX.
Pipe Technologies is hiring a Senior Data Scientist (remote anywhere in the U.S.) to build and deploy ML and statistical models forecasting customer cash flows and credit risk, run A/B tests to improve product and underwriting, and advance models with deep learning techniques like transformers. Core stack includes PyTorch/TensorFlow, Spark, and AWS/GCP.
Develops and optimizes large-scale vision-language models for autonomous vehicle perception, training pipelines on multimodal sensor data to improve real-world driving decisions.
Develops and deploys machine learning models for autonomous vehicle prediction and planning, using deep learning frameworks to improve navigation safety and efficiency.
Develops and optimizes machine learning systems for autonomous driving, focusing on runtime performance and efficiency across cloud and vehicle platforms using deep learning frameworks and compiler tools.
Develops ultra-realistic simulation environments for autonomous driving using machine learning, focusing on generative AI and foundation models to enhance the Waymo Driver's performance.
Develops machine learning models for autonomous vehicle perception, including sensor fusion and spatial-temporal representation learning, using large-scale real-world driving data.
Principal Software Engineer at Waymo builds and optimizes sensor-fusion foundation models for autonomous driving, using large-scale multi-modal data and deep learning toolkits.
Research Scientist designs and builds deep-learning models for autonomous-vehicle planning and prediction, turning real-world driving challenges into robust ML systems and publishing findings.
Designs and optimizes large-scale machine learning pipelines for vision-language models to improve autonomous vehicle perception, using Python and deep learning frameworks.
Senior ML Engineer builds and optimizes high-performance inference engines for autonomous vehicle ML models, balancing real-time onboard constraints with offboard data center demands using frameworks like JAX, XLA, and CUDA.
Build and optimize large-scale ML evaluation platforms for autonomous driving models, focusing on performance, scalability, and efficiency using frameworks like TensorFlow, JAX, and XLA.
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