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Build ML systems for protein design, using Bayesian optimization and active learning to guide lab experiments and accelerate therapeutic discovery.
Build high-performance Java backend services and reactive APIs for a global investment bank, using NoSQL databases and RxJava in a hybrid Warsaw office role.
Senior engineer building and optimizing NVIDIA’s DGX Cloud AI platform for large-scale training, inference, and Agentic AI, using Kubernetes, Go, Python, and GPU-accelerated stacks.
Store - JAX-FLEMING ISLAND, FLDeliver friendly customer service, help customers shop our store, and find what they’re looking for. Ensure all customers receive a fast and friendly checkout experience. Complete truck…
As an Advanced AI Engineer at Honeywell Aerospace, you will provide technical contributions to the development of AI-driven engineering design tools and physics-based machine learning models. This role focuses on…
Build and deploy ML models for Apple’s Health AI team, focusing on deep learning and generative AI to improve health-related products for millions of users.
Design and deploy scalable AI/ML solutions for customers, advising on distributed training and production-scale deployments while bridging technical and business needs.
Research and develop large-scale deep learning models for biomolecular design, focusing on pretraining techniques in protein engineering using PyTorch or JAX.
Staff Engineer Tech Lead Manager, ML Acceleration Location: Pittsburgh, Pennsylvania, United States Department: Infrastructure Mission Summary: We are seeking an experienced and visionary Principle Level Tech Lead…
Lead a team to optimize and accelerate ML model training for autonomous vehicles, using PyTorch/JAX and distributed systems to cut development cycles and enable rapid hot-patching.
Leads a team of ML engineers and data scientists to design, deploy, and maintain machine learning systems for sports betting and gaming platforms using Python, TensorFlow/PyTorch, and AWS.
Lead AI/ML strategy and teams at early-stage startups, defining product roadmaps and deploying generative AI systems using Python, PyTorch, and cloud MLOps stacks.
Build and adapt AI models for early-stage startups, turning research into production systems and improving model performance, reasoning, and efficiency.
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more…
This position will direct efforts to harmonize practices across all JAX locations, both domestic and international where applicable, drive organizational change and implement quality improvements. This position will…
Build and maintain AI model validation, optimization, and safety systems at scale, including quantization, security scanning, and guardrails for production deployment.
Build and optimize NVIDIA’s TensorRT and TensorRT-LLM inference engines in C++/CUDA to accelerate large language models on GPUs.
Develop and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize GPU performance for training and inference workloads.
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