Discover AI/ML opportunities at the world's leading AI companies
Salesforce
Join the Einstein platform team to build and run ML infrastructure that powers predictive and generative AI across Salesforce clouds. You design scalable services and microservices that serve billions of predictions per day and host dozens of large language models for thousands of customers. The work blends distributed systems engineering, MLOps, and close collaboration with data scientists and research teams.([careers.salesforce.com](https://careers.salesforce.com/en/jobs/jr321128/smtslmts-software-engineer-ml-infrastructure/))
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.
Tesla
Senior/staff ML role in Tesla’s Energy & Charging organization. The team uses large‑scale data from vehicles, charging networks and the grid to build models that forecast demand, optimize charging behavior, improve reliability and efficiency of Superchargers, and drive intelligent energy management across Tesla products.([tesla.com](https://www.tesla.com/careers/search/job/staff-machine-learning-engineer-energy-charging-256859?utm_source=openai))
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.
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.
AMD
Senior technical contributor in AMD’s AI group, responsible for end‑to‑end delivery of software solutions that optimize training and inference of ML models on AMD GPUs, collaborating across compiler, driver, and hardware teams.
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))
Huawei
Senior research engineer in Huawei Turkey R&D’s AI team, working on Petal Search. The role focuses on improving search results using machine learning and NLP, designing and deploying large‑scale ML services, and publishing high‑quality research in top conferences while maintaining production‑grade systems.
Block
Senior ML engineer role on Block's Machine Learning Features team, part of the centralized ML Platform. The team develops and maintains systems that compute and serve millions of ML features every day across Cash App, Square, Afterpay, and other business units, and is building a new feature platform to power models at scale. ([builtinla.com](https://www.builtinla.com/job/senior-machine-learning-engineer/7811182?utm_source=openai))
Waymo
Senior machine learning engineer role on Waymo's Simulator Team, building ultra-realistic world simulations for testing and training the Waymo Driver. The role focuses on using foundation models, generative techniques, and reinforcement learning to model agents, environments, and edge-case scenarios for autonomous driving.
Salesforce
ML engineer on Salesforce’s Einstein Foundation team, leading development of agentic search and knowledge‑graph solutions that power Agentforce AI agents across Salesforce’s CRM products.