…As a Senior Machine Learning Engineer, you will own the ML lifecycle for the vision-language models that unify our perception and reasoning capabilities…

…MS or PhD in Computer Science, Artificial Intelligence, Machine Learning or related field. Experience with multilingual and multimodal LLMs. Experience with or strong interest…

…is to build the ultimate cognitive engine for autonomous driving. We are pioneering the use of large multimodal foundation models (e.g., Gemini) to…

…As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your…

…As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your…

…C++, Python or related language - PhD in Computer Science, Computer Engineering, Machine Learning or related field - Strong experience with Generative Artificial Intelligence (GenAI) technologies…

…ML engineering, AI platforms, model infrastructure, cloud platforms, solution architecture, or startup technical engagement. Strong understanding of generative AI, deep learning, machine learning, model…

…of solutions and integration of services. –Collaborates with software engineers and machine learning engineers to deploy computer vision, biometric, and video analysis solutions into…

…GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with…

…and collaborating with data engineers Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning Have experience with data…

…NICE TO HAVE - Experience with machine translation, multilingual NLP, efficient long-context modeling, language quality estimation, or multimodal machine translation. - Experience designing evaluation and…

…To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes…

…Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and…

…to influence both the engineering bench and senior leadership. - Publications and evidence of community building at top-tier machine learning venues. - Passion for WHOOP…

…In this role, you will: - Develop RLHF and post-training methods for multimodal models. - Build reward models and preference-learning pipelines for adaptive, personalized…

…Key job responsibilities * Formulate novel research problems at the intersection of GenAI, multimodal learning, and large-scale information retrieval—translating ambiguous business challenges into…

…Computer Science, Machine Learning, or Robotics, with a research focus on Data centric AI, Reinforcement Learning, Foundation Models, or Multimodal learning The expected base…

…Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Continuous innovation : Stay…

…XR Human Interface team is a collection of experts in HCI (human computer interaction), system experiences, multimodal input and contextual learning that define how…

…We are seeking Machine Learning Engineers to lead high-impact research projects that bridge the gap between state-of-the-art AI and production…

…We are seeking AI Engineers who thrive at the intersection of agentic and applied AI, machine learning, and large-scale engineering. You’ll blend…

…as an product minded engineering manager, with at least 2 years leading growth engineering teams Experience applying machine learning and AI technologies to growth…

…We are looking for a self-motivated algorithm engineer who is passionate about blending modern deep learning with robust classical techniques. This position requires…

…or Master's degree in Electrical Engineering, Computer Science, Artificial Intelligence, or a related field. Strong knowledge of machine learning and deep learning Research…

…GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with…