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Leads strategic AI ecosystem partnerships to design joint architectures for AI infrastructure, spanning data pipelines, model training, and inference serving, while enabling sales teams with technical enablement and market insights.
Every iPhone, iPad, Mac, Apple Watch, Vision Pro, and Apple TV runs on the compute and graphics software foundation built by Apple’s Graphics, Games, and Machine Learning team. The Pre-silicon Compute Frameworks team…
Senior full stack developer at an IT consulting/staffing firm, onsite in Toronto 5 days a week, designing, building, testing, and supporting enterprise web applications: Java and Angular front/back ends, REST APIs, Oracle database work, ETL pipelines, and CI/CD, with WCAG 2.0 AA accessible UIs; Ontario public sector experience preferred.
Research and develop AI agents that interact with browsers, code repositories, and GUI tools using LLMs and reinforcement learning, aiming to publish findings and ship scalable solutions.
AI21 Labs is hiring a Deep Learning Engineer to build and maintain its LLM training infrastructure, optimize training and serving performance, adapt models to new GPU hardware, and run training/evaluation experiments. Core stack: Python, PyTorch, distributed training frameworks (FSDP/Megatron/DeepSpeed), and inference systems like vLLM.
A summer 2027 PhD internship at Waymo in Mountain View focused on machine learning for computer vision in autonomous driving. The intern will analyze and fine-tune multimodal perception foundation models, validate performance on large-scale AV sensor datasets and simulation, and improve data pipelines using tools like PyTorch, JAX, or TensorFlow.
Waymo is hiring a Summer 2027 MS/PhD machine learning intern in London to work on simulation realism for its autonomous driving technology. The intern will contribute to existing projects, implement research ideas, and run training and evaluation experiments using Python and deep learning frameworks like TensorFlow, JAX or PyTorch.
Summer 2027 MS/PhD software engineering internship at Waymo in Mountain View, building an automated semantic extraction and temporal graph modeling pipeline over simulation logs, plus a hybrid retrieval engine (embeddings, keyword, graph traversal) for autonomous driving scenario discovery. Core stack: Python/C++ on Linux with PyTorch/JAX/TensorFlow.
Summer 2027 internship in San Francisco for MS/PhD students to work as machine learning engineers at Waymo: fine-tuning large multi-task transformers over driving-log sequences in JAX/Flax on TPUs, building evaluation pipelines, and shipping production code. Hybrid onsite with pay of $70/hr (MS) to $85/hr (PhD).
Waymo is hiring a PhD software engineering intern for Summer 2027 in Mountain View to work on simulation for autonomous driving. The intern will implement uncertainty-aware algorithms for transformer-based multi-task classifiers end-to-end, including evaluation, using Python and deep learning frameworks like TensorFlow or JAX.
Summer 2027 internship at Waymo in Mountain View for MS/PhD students on the Model Optimization & ML Runtime team: designing parameter-efficient fine-tuning (LoRA/QLoRA), distillation, and quantization pipelines in Python/JAX/Flax to optimize large Vision Transformer perception models for real-time deployment on autonomous vehicle hardware.
Waymo is hiring a Summer 2027 on-site intern (MS/PhD) for its Perception team in Mountain View, where the intern will design and train state-of-the-art multi-modal (camera/radar/lidar/audio) machine learning models for tasks like 3D detection, tracking, and segmentation using Python and JAX/PyTorch/TensorFlow on large-scale driving data.
Waymo is hiring a PhD machine learning research intern for Summer 2027 on its Predictive Planning team in Mountain View. The intern will research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction using JAX, TensorFlow/PyTorch, and Python/C++ in a hybrid onsite role.
A PhD summer internship on Waymo's planner ML team: researching and implementing deep learning architectures and ranking objectives in Python/JAX for the Large Selection model, training large networks on distributed TPUs, and evaluating models on open- and closed-loop autonomous driving benchmarks.
Waymo is hiring a Summer 2027 machine learning intern (MS/PhD) on the Driver Refinement Foundations team in Mountain View. The intern will mine driving datasets, use LLMs and world foundation models for reasoning, optimize multimodal generative models with RLFT/reward modeling, and build evaluation metrics, working in Python/C++ with JAX/PyTorch.
PhD summer 2027 intern on Waymo's Predictive Planning team: research, implement, and evaluate state-of-the-art machine learning models for autonomous-vehicle prediction and planning, run experiments in JAX/Python, and analyze open-loop and closed-loop results in a hybrid onsite role in Mountain View.
A Summer 2027 PhD machine learning internship at Waymo's London office (hybrid onsite). The intern will develop controllable, realistic adversarial agents for simulation-based autonomous driving evaluation in the Waymo Simulator and refine post-training recipes for foundation and world models, using Python and frameworks like PyTorch, NumPy, JAX, or TensorFlow.
Summer 2027 MS/PhD machine learning intern on Waymo's Predictive Planning team in Mountain View, researching and implementing state-of-the-art generative models for autonomous vehicle planning and prediction, using deep learning frameworks like TensorFlow, JAX, and PyTorch plus Python and C/C++.
A PhD machine learning summer internship at Waymo (hybrid onsite, Mountain View) working on reinforcement learning post-training, generative world models, and closed-loop multi-agent simulation for autonomous driving. Day-to-day involves designing RL and distillation algorithms, building reward models and realism critics, running large-scale ablations on TPUs, and writing production JAX code.
Our Mission Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future…
