Discover AI/ML opportunities at the world's leading AI companies
Zoom
ML Engineer on Zoom’s German R&D Machine Translation team, building and deploying state-of-the-art multilingual LLMs for machine translation and speech translation, with global product impact.([careers.zoom.us](https://careers.zoom.us/jobs/machine-learning-engineer-karlsruhe-baden-wurttemberg-germany?utm_source=openai))
Aurora
ML Engineer on Aurora’s behavior planning team, building machine learning approaches for motion planning and multi-agent interaction to generate comfortable and safe trajectories for self-driving trucks and vehicles.([builtin.com](https://builtin.com/job/ml-software-engineer-behavior-planning/4571932?utm_source=openai))
Zoom
Research Scientist on Zoom’s AI Incubation team conducting frontier research in LLM post-training, RLHF/DPO/RLAIF, federated AI, and multimodal reasoning to power Zoom AI Companion and federated AI systems.([careers.zoom.us](https://careers.zoom.us/jobs/research-scientist-ai-incubation-seattle-washington-united-states-san-jose-california?utm_source=openai))
Palantir
Forward Deployed AI Engineers (FDAEs) at Palantir work directly with customers to own generative AI strategy and implementation. They build end-to-end LLM-powered workflows on Palantir’s AIP/Foundry stack, bring them into production, and solve high‑stakes real-world problems at large scale while feeding learnings back into Palantir’s product teams.
Oracle
Customer Success Services (CSS) needs an AI Engineer to design, develop, configure, evaluate, monitor and optimize generative AI and agent solutions for Oracle applications. The role focuses on building processes, tools and tests so CSS can evaluate and improve AI responses at scale for use cases like summarization, RAG, and agentic workflows, and on developing monetizable AI-driven managed services for customers.
Fujitsu
Senior software developer with expertise in Scientific Machine Learning (SciML), building surrogate models, PINNs, and hybrid ML–physics approaches on Fujitsu’s new ARM-based CPU. Role emphasizes high-performance computing, deep learning frameworks, and scientific domains like semiconductors and physics-based simulation.
Zoom
Engineer on Zoom’s AI Incubation team building and optimizing large-scale training and deployment infrastructure for LLMs, including distributed training platforms, containerized environments, and GPU-optimized workflows.([careers.zoom.us](https://careers.zoom.us/jobs/ai-infrastructure-engineer-seattle-washington-united-states-74aeeb1a-aa90-48ac-883e-5c0cd5aaaeff?utm_source=openai))
xAI
The Machine Learning Engineer, Safety at xAI joins the Applied Safety team to build ML systems that ensure compliance with X’s Terms of Service and enhance user safety. The role owns the end-to-end ML lifecycle to detect and mitigate threats such as abuse, spam, and fraud, integrating advanced ML (including LLM-based techniques) into high-throughput production systems. Ideal candidates thrive in 0-to-1 environments, prioritize impactful code over documentation, and are comfortable tackling high-stakes safety challenges. ([job-boards.greenhouse.io](https://job-boards.greenhouse.io/xai/jobs/4944324007?utm_source=openai))
Huawei
Huawei Technologies Canada is hiring a Machine Learning Researcher focused on large language models (LLMs) and retrieval-augmented generation (RAG). The role involves building benchmarks and testbeds for advanced LLMs (Transformer, Mamba), constructing RAG testbeds and optimizing database efficiency, rapidly implementing new algorithms and architectures, and developing innovative DL architectures and algorithms for large language models. ([illbeback.ai](https://illbeback.ai/job/machine-learning-researcher-llm-rag/?utm_source=openai))
Intel
This AI Software Product Manager role at Intel focuses on defining and driving software products in Intel’s AI portfolio, with emphasis on GenAI, developer tools, and platform capabilities. The PM leads strategy and roadmap for AI software offerings built on Intel hardware and software stacks, collaborates across engineering and go-to-market teams, and helps define how Intel’s AI products are adopted by developers and enterprises. ([illbeback.ai](https://illbeback.ai/job/ai-software-product-manager/?utm_source=openai))
ByteDance
ByteDance’s Applied Machine Learning Enterprise team is hiring a Machine Learning Engineer focused on Large Language Models to help build a Model‑as‑a‑Service (MaaS) platform for enterprise customers. The team develops and operates full-stack LLM platforms covering algorithms, training/fine-tuning/inference frameworks, heterogeneous hardware, prompting, alignment, and intelligent agents for global customers outside mainland China.
Perplexity AI
Infrastructure‑focused role on Perplexity’s AI team, responsible for large‑scale deployment and optimization of LLM inference (Python/Rust/C++, PyTorch, Triton, CUDA, Kubernetes), building APIs and platforms that serve real‑time queries for the answer engine and agents. ([careers.mavenventures.com](https://careers.mavenventures.com/companies/perplexity-2/jobs/61676618-ai-inference-engineer?utm_source=openai))