Discover AI/ML opportunities at the world's leading AI companies
IBM
Research intern on IBM’s AI Foundations team working on Granite models and new training, customization, and running-the-AI techniques across text, code, and other signals. ([linkedin.com](https://www.linkedin.com/jobs/view/ai-foundations-research-scientist-research-internship-2026-at-ibm-4350257780))
Oracle
Senior applied scientist role in Oracle’s Security Engineering organization. You design and deploy machine learning models that power next‑generation security detection for Oracle’s large SaaS environment, working with petabyte‑scale telemetry and cross‑functional security teams. ([jobs.institutedata.com](https://jobs.institutedata.com/job/4523897/applied-scientist-3/))
SAP
You own AI and data capabilities across SAP Business Network apps. The job is to define and ship AI‑powered insights, agents, and workflows that improve supply‑chain, logistics, and procurement outcomes for buyers and suppliers on a huge B2B network. It’s a deeply cross‑product role with both strategy and execution.([jobs.sap.com](https://jobs.sap.com/job/Palo-Alto-Senior-Product-Manager%2C-Apps-AI-%26-Data-SAP-Business-Network-Applications-CA-94304/1276862301/))
Nvidia
Senior ML engineer role on NVIDIA’s DGX Cloud team. You build production models that keep large GPU clusters healthy and efficient, using telemetry from massive distributed systems. The work mixes time‑series modeling, forecasting, and large‑scale data engineering to support NVIDIA’s internal and external AI customers.([linkedin.com](https://www.linkedin.com/jobs/view/senior-machine-learning-engineer-at-nvidia-4326732623))
Apple
Role on Apple’s Intelligence Platform team building LLM‑driven and agentic AI systems that power knowledge and inference across Apple’s operating systems. The engineer helps translate cutting‑edge research in generative models, retrieval‑augmented generation, and tool‑using agents into robust, privacy‑conscious production systems at Apple scale.
SAP
Senior data scientist in SAP’s engineering organization, focused on building and evaluating GenAI agents and RAG‑based applications for SAP products, including agent frameworks, prompt strategies, and safety mechanisms.
Samsung
Senior research scientist role in Samsung Research America’s Robot Intelligence Lab, leading cutting‑edge robotics and embodied AI research. You work on robot foundation models, vision‑language‑action systems, perception, and dexterous manipulation, delivering both publications and prototypes on real robots.
Palo Alto Networks
Principal-level ML engineer leading design of a large-scale platform for running LLMs and AI agents that secure customers’ AI stacks. ([jobs.paloaltonetworks.com](https://jobs.paloaltonetworks.com/en/job/santa-clara/sr-principal-machine-learning-engineer-prisma-airs/47263/89395985008?utm_source=openai))
Intel
Design and develop AI software to optimize deep learning workloads on Intel platforms. The role focuses on implementing and optimizing distributed training and inference algorithms, contributing to deep learning frameworks, and improving performance of neural network models on Intel CPUs, GPUs and NPUs.
DigitalOcean
DigitalOcean is hiring a Data Scientist to build predictive models and drive data-informed decisions across product, marketing, and business. The role sits inside a cloud company pushing hard into AI, supporting products like GradientAI and GPU-based infrastructure.
Apple
ML‑focused backend/data engineer role on the Siri & Information Intelligence team, responsible for building and operating the data and evaluation infrastructure that powers multi‑modal agentic workflows and foundation models for Siri. The team owns data generation, introspection, and evaluation frameworks used to develop and iterate on Siri’s agentic workflows at scale.([jobs.apple.com](https://jobs.apple.com/en-us/search?location=united-states-USA&team=computer-vision-MLAI-CV&utm_source=openai))
Samsung
Senior machine learning platform engineer for Samsung Ads’ Platform Intelligence team. You build and run the ML platform that powers Samsung’s advertising business, handling thousands of training pipelines and trillions of predictions for large‑scale ad products. Role blends ML infrastructure, big‑data engineering, and close work with applied ML teams. ([dice.com](https://www.dice.com/job-detail/852c9aa3-98c1-4aa7-9891-bfdd03a6387e))