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Build and scale deep-learning infrastructure for autonomous-vehicle training, optimizing multi-thousand-GPU clusters, distributed training, and massive video datasets.
Lead AI/ML teams to design, build, and deploy scalable machine-learning models and agentic architectures for enterprise clients using cloud AI services.
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware…
Build C++ software for next-gen mask inspection systems, integrate AI/ML for tool insights, and collaborate with cross-functional teams on high-impact engineering challenges.
Build and validate AI/ML datasets for defense research, annotating multi-modal data and creating pipelines to ensure model readiness in operational environments.
Build and scale data-centric AI models for autonomous driving, curating massive real-world and synthetic datasets to improve vehicle behavior and safety on public roads.
Build and scale ML systems for identity resolution, audience intelligence, and personalization across WBD’s streaming brands using Databricks, Snowflake, and AWS.
Lead the machine-learning systems that rank, recommend, and retrieve restaurants and menu items for millions of diners, using deep learning, embeddings, and LLMs to optimize conversion and long-term value.
Builds end-to-end ML systems and backend infrastructure for AI data/evaluation pipelines, owning full product lifecycles from problem definition to revenue-generating solutions, with a focus on real-world data (text, images, video, audio, physical AI) and GenAI/LLM applications.
Uber AI Solutions (UAIS) is a startup inside Uber, building the data and evaluation infrastructure behind the next generation of AI. The models making headlines are only as good as the data and feedback they learn…
Position Summary We're looking for an AI/ML Data Specialist to design and deploy AI capabilities - including document ingestion, retrieval-augmented generation (RAG), and secure knowledge-base services - that…
TL;DR – We’re building humanity’s defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted operational decisions…
At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and…
Build and tune compound AI systems for Moveworks’ enterprise agent platform, focusing on agent reliability, latency, and end-to-end quality rather than just model training.
Designs and implements deep learning models for autonomous truck perception, planning, and control, using PyTorch/TensorFlow and state-of-the-art neural architectures.
Develop and optimize deep learning models for autonomous truck perception, mapping, and planning using PyTorch, collaborating with cross-functional teams to integrate solutions into production pipelines.
Build and tune compound AI systems for an enterprise agent platform, focusing on reliability, latency, and end-to-end performance rather than just model training.
J.P. Morgan is seeking a Vice President, Applied AI/ML Lead in New York to drive high-impact AI/ML capabilities across the payments ecosystem. The role involves applying advanced neural networks and building…
Build and tune compound AI systems for Moveworks’ enterprise assistant, focusing on agent reliability, latency, and end-to-end quality using LLMs, vector DBs, and eval-driven engineering.
Develop AI applications alongside engineers, requiring an active Secret Clearance for a fully on-site role.
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