xAI

xAI is seeking a Member of Technical Staff focused on Pre-Training to train trillion-parameter neural networks at scale. The role involves implementing state-of-the-art methods, innovating in pretraining and scaling paradigms, and requires strong engineering skills in model-hardware co-design, ML scaling laws, and distributed training for efficiency.

This role focuses on critical post-training and reinforcement learning challenges for AI models, including reward modeling, preference optimization (RLHF/DPO), and RL for improving reasoning, truthfulness, and real-world capabilities. The goal is to build useful models through these techniques.

xAI is seeking a Member of Technical Staff for their Multimodal Understanding team to advance superhuman multimodal intelligence. The role involves working across the full stack of multimodal AI, from data curation and pre-training to post-training, inference, evaluation, and end-to-end product experiences. Responsibilities include designing and optimizing large-scale distributed systems, developing data pipelines, advancing multimodal capabilities, creating evaluation frameworks, and innovating on algorithms and scaling paradigms. The role requires hands-on experience with multimodal pre-training/post-training/fine-tuning, proficiency in Python and ML frameworks, and proven track record in building large-scale distributed ML systems and data pipelines.

This role focuses on critical modeling challenges, aiming to build useful AI models. While prior experience training models used by millions is a plus, it's not strictly required. The role emphasizes a truth-seeking AI mission and a meritocratic environment.

xAI is seeking a Member of Technical Staff focused on Model Training. The role involves working on critical modeling challenges and building useful AI models. While prior experience training models used by millions is a plus, it's not strictly required. The company emphasizes truth-seeking AI and a meritocratic environment.

The role focuses on building and improving voice AI models for natural, low-latency spoken interactions. This involves large-scale data curation, speech-language model pre-training and post-training, and developing a comprehensive evaluation framework. The goal is to integrate these models into real-time applications for a global scale deployment.

This role focuses on building frameworks to enhance AI reasoning capabilities, developing distributed reinforcement learning systems, optimizing inference-time compute techniques like tree search and planning, and creating environments for agents. It requires experience with large-scale RL and distributed systems, and staying current with state-of-the-art algorithms.

xAI is seeking a multimodal engineer to develop AI experiences beyond text, focusing on image and video understanding and generation, with audio integration. Responsibilities include data curation, modeling, training, inference serving, and product integration, covering pretraining and post-training phases. The role involves creating engineering agendas, improving data quality, designing evaluation frameworks, implementing efficient algorithms for real-time inference and serving, and developing scalable data pipelines for multimodal datasets. Collaboration with product teams for production integration and iteration based on user feedback is key.

This role focuses on scaling synthetic data for AI training, distilling model intelligence, optimizing data mixtures for RL, engineering long-context data, and developing evaluations for mid-training checkpoints. It requires expertise in ML scaling laws, experimental design, curating multi-modal AI training data, and large-scale data processing frameworks.

The role focuses on designing and optimizing large-scale model serving systems for high-performance inference, ensuring speed and reliability for millions of users. Responsibilities include architecting distributed infrastructure, optimizing latency and throughput, building high-concurrency systems, and accelerating inference engines.

The X Search team is responsible for building and operating the core search engine that powers discovery on X. This role involves building and operating large-scale search engines and infrastructure, training state-of-the-art ML ranking models, and integrating Grok's reasoning capabilities into search systems and products. The role requires experience with vector databases, search indices, and production ML systems.

xAI is seeking a Data Engineer to build and maintain production-grade data pipelines, tooling, and software systems for data acquisition, preparation, quality evaluation, and delivery for model training. The role involves analyzing data performance, investigating anomalies, and researching methods to improve data quality, with a focus on enabling effective and reliable model training.

Backend Engineer responsible for building and owning the xAI API, focusing on high-throughput, low-latency inference for LLMs. This includes model serving infrastructure, request routing, rate limiting, observability, and scaling, with potential involvement in agent SDKs and orchestration.

The AI Tutor role focuses on training and refining AI models for voice interactions, speech recognition, and auditory experiences in Marathi and English. Responsibilities include annotating audio data, providing voice recordings, and collaborating with technical staff to improve AI's handling of multilingual audio nuances, accents, and noise. The role requires native Marathi proficiency, strong English skills, and excellent auditory perception.

This role focuses on building and scaling systems for AI-driven media experiences, specifically for Grok users. It involves designing and implementing scalable infrastructure for real-time multi-modal interactions, processing various media types, and collaborating with research and product teams to deliver consumer-facing features. The role emphasizes full-cycle development from design to deployment and monitoring, aiming to reach hundreds of millions of users.

Role focused on providing high-quality annotations, evaluations, and expert reasoning to train and refine frontier AI models, specifically in the domain of cryptocurrency quantitative trading and digital asset markets. Involves generating diverse data formats (text, voice, video) and critiquing model outputs.

This role focuses on improving the epistemic rigor and truthfulness of AI models, specifically ensuring they reason carefully, avoid motivated reasoning, and communicate uncertainty appropriately. Responsibilities include assessing model outputs for accuracy and logical coherence, identifying fallacies, writing exemplary reasoning, and constructing adversarial examples. The role requires a strong analytical background, a track record in forecasting or rigorous analysis, and deep knowledge in fields like philosophy of science, cognitive psychology, or statistics.

This role focuses on building infrastructure and frameworks to support AI agents, data processing, and model evaluations, with a strong emphasis on RL training and automation. The primary output is the agent environment and associated tooling, with secondary contributions to data pipelines for RL training.

Software Engineer on the Data team at xAI, responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training. Focuses on building a reliable, scalable enterprise data platform to ensure models are trained on high-quality data.

The AI Tutor role focuses on training and refining AI models (specifically Grok) for multilingual audio capabilities. This involves curating and annotating high-quality audio data, including voice interactions, speech recognition, and auditory experiences across diverse languages and accents. The goal is to enhance the AI's global accessibility and natural spoken interactions.

The AI Tutor will train and refine Grok for voice interactions, speech recognition, and auditory experiences in Swahili. This involves curating and annotating high-quality audio data to improve the AI's global accessibility, spoken interactions, and handling of multilingual audio nuances.

The AI Tutor role focuses on training and refining AI models (specifically Grok) for multilingual audio capabilities, including voice interactions and speech recognition. Responsibilities involve annotating and curating audio data, providing voice recordings, and collaborating with technical staff to improve AI's handling of diverse languages, accents, and audio nuances. The role requires native Hungarian proficiency and strong English skills, with a focus on auditory perception and linguistic detail.

This role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating audio data, ensuring high-quality spoken output, and collaborating with technical staff to improve AI's handling of speech nuances, accents, and noise. The role requires native proficiency in Greek and strong English, with a focus on auditory perception and data quality for AI training.

Backend Engineer responsible for building and owning the xAI API that serves models to developers worldwide. This includes end-to-end system ownership for high-throughput, low-latency, and highly available inference, covering model serving infrastructure, request routing, SDK development, rate limiting, observability, and scaling. Requires expertise in Rust or C++, distributed systems, and observability, with preferred experience in LLM inference engines, serving frameworks, and agent orchestration.

Senior Data Scientist role focused on modernizing and strengthening financial crime detection capabilities by architecting, building, and optimizing data-driven transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions to support BSA/AML regulatory compliance. The role involves working with Python, SQL, and AI-enabled tooling, partnering with a Compliance Machine Learning team, and supporting regulatory examinations.

The AI Tutor role at xAI focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating high-quality audio data, providing labels and annotations for multilingual audio clips, voice recordings, and speech samples. The role also includes collaborating with technical staff to improve AI's speech processing and annotation tools, with a focus on diverse languages, accents, and cultural contexts.

The role involves training and refining AI models for multilingual audio capabilities, specifically focusing on voice interactions, speech recognition, and auditory experiences. Responsibilities include curating and annotating audio data, providing labels and inputs on multilingual audio clips, and collaborating with technical staff to improve AI's handling of speech modulation, accent variation, and noise in real-world recordings. The goal is to enhance global accessibility and enable natural spoken interactions.

The AI Tutor role at xAI focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating high-quality audio data, including voice interactions, speech recognition, and auditory experiences across diverse languages and accents. The goal is to enhance Grok's global accessibility and enable natural spoken interactions by improving its handling of multilingual audio nuances, speech modulation, accent variation, and noisy recordings.

The AI Tutor role focuses on training and refining AI models for multilingual audio capabilities, specifically in Telugu. Responsibilities include annotating audio data, ensuring quality, and collaborating with technical staff to improve AI's handling of speech nuances, accents, and noise. The role requires native Telugu proficiency and strong English skills, with an emphasis on auditory perception and linguistic detail.

The AI Tutor - Thai role at xAI focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating audio data, providing labels and annotations for multilingual audio clips, voice recordings, and speech samples. The goal is to enhance Grok's global accessibility and natural spoken interactions by improving its speech processing, handling of multilingual audio nuances, and accuracy across diverse languages, accents, and cultural contexts.

The AI Tutor - Tamil role at xAI focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating high-quality audio data in Tamil and English to improve voice interactions, speech recognition, and auditory experiences globally. Responsibilities include labeling, annotating, and recording audio clips, collaborating with technical staff to enhance AI's handling of speech nuances, and improving annotation tools.

The AI Tutor - Tagalog role at xAI focuses on training and refining AI models for multilingual audio capabilities, specifically in Tagalog. Responsibilities include annotating audio data, providing voice recordings, and collaborating with technical staff to improve speech processing, accent variation handling, and noise reduction in AI models. The role requires native Tagalog proficiency and strong auditory perception skills.

This role focuses on training and refining AI models for multilingual audio capabilities, specifically speech recognition and voice interactions. Responsibilities include annotating and curating audio data, providing voice recordings, and collaborating with technical staff to improve AI's handling of speech nuances, accents, and noise. The goal is to enhance the AI's global accessibility and natural spoken interactions.

The AI Tutor role focuses on curating and annotating multilingual audio data to improve Grok's voice interactions, speech recognition, and auditory experiences. This involves providing labels, annotations, and recordings for various languages and accents, collaborating with technical staff to enhance AI's handling of speech nuances, and improving annotation tools. The role requires native Swedish proficiency, strong English skills, excellent auditory perception, and the ability to handle diverse audio content and transcribe accurately. Preferred skills include advanced linguistic understanding, experience with speech datasets, and professional voice work.

The AI Tutor - Punjabi role at xAI focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating audio data in Punjabi and English to improve speech recognition, voice interactions, and auditory experiences across diverse languages and accents. The role requires native Punjabi proficiency, strong auditory perception, and the ability to transcribe and evaluate audio content accurately.

The AI Tutor - Polish role focuses on training and refining AI models (specifically Grok) for multilingual audio capabilities. This involves curating and annotating audio data, providing labels and annotations for multilingual audio clips, voice recordings, and speech samples, and collaborating with technical staff to improve the AI's ability to handle speech modulation, accent variation, and noise. The goal is to enhance Grok's global accessibility and enable natural spoken interactions.

The AI Tutor role focuses on training and refining Grok for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data, providing labels and annotations for multilingual audio clips, and collaborating with technical staff to improve AI's handling of speech modulation, accent variation, and noise.

This role focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. Responsibilities include curating and annotating audio data, providing labels and recordings, and collaborating with technical staff to improve speech recognition, voice interactions, and auditory experiences across diverse languages and accents. The goal is to enhance global accessibility and natural spoken interactions.

The AI Tutor will train and refine Grok for multilingual audio capabilities, focusing on voice interactions, speech recognition, and auditory experiences across diverse languages and accents. This involves curating and annotating high-quality audio data to improve Grok's global accessibility and natural spoken interactions.

The AI Tutor role focuses on training and refining AI models (specifically Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data across various languages and accents, collaborating with technical staff to improve AI's handling of speech nuances, and enhancing annotation tools. The role requires native Japanese proficiency, strong English, excellent auditory perception, and the ability to handle diverse audio content.

The role focuses on training and refining Grok for multilingual audio capabilities, specifically in voice interactions, speech recognition, and auditory experiences across diverse languages and accents. This involves curating and annotating high-quality audio data to improve Grok's global accessibility and spoken interactions, bridging language barriers through accurate speech processing, and enhancing its handling of multilingual audio nuances. The core tasks involve using proprietary software for labeling, annotation, and recording of multilingual audio clips, voice recordings, and speech samples, and collaborating with technical staff to improve AI's speech handling and annotation tools.

The AI Tutor role focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating high-quality audio data, providing voice recordings, and collaborating with technical staff to improve speech recognition, voice interactions, and auditory experiences across diverse languages and accents. The core responsibility is to enhance the AI's global accessibility and natural spoken interactions through meticulous data handling and feedback.

The AI Tutor role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data in various languages, specifically Hindi, to enhance global accessibility and improve the AI's handling of spoken interactions and nuances.

The AI Tutor - Hebrew role at xAI focuses on training and refining AI models (Grok) for multilingual audio capabilities. This involves curating and annotating audio data, providing labels and annotations for multilingual audio clips, voice recordings, and speech samples. The goal is to enhance the AI's global accessibility, enable natural spoken interactions, bridge language barriers through accurate speech processing, and improve handling of multilingual audio nuances.

The AI Tutor role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data across diverse languages and accents to improve global accessibility and natural spoken interactions. This includes providing labels, annotations, recordings, and feedback on multilingual audio clips, collaborating with technical staff to enhance AI's handling of speech nuances, and improving annotation tools.

The AI Tutor role focuses on training and refining AI models (specifically Grok) for multilingual audio capabilities. This involves curating and annotating audio data, providing labels, annotations, and recordings for various languages and accents, and collaborating with technical staff to improve AI's speech processing and annotation tools. The goal is to enhance the AI's global accessibility and natural spoken interactions.

The AI Tutor - French role at xAI focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating audio data in French and English, focusing on speech recognition, voice interactions, and auditory experiences across diverse languages and accents. The goal is to enhance Grok's global accessibility and improve its handling of multilingual audio nuances.

The AI Tutor will train and refine Grok for multilingual audio capabilities, focusing on voice interactions, speech recognition, and auditory experiences. Responsibilities include annotating audio data, ensuring high-quality spoken output, and collaborating with technical staff to improve AI's handling of speech modulation, accent variation, and multilingual audio processing.

The AI Tutor will train and refine Grok for voice interactions, speech recognition, and auditory experiences across diverse languages. Responsibilities include annotating audio data, enhancing global accessibility, and improving multilingual audio nuances. This role requires native English proficiency, strong auditory perception, and the ability to handle multilingual audio content and transcribe accurately. Experience in linguistics, speech sciences, or working with speech/audio datasets is preferred.

This role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data, improving the AI's handling of diverse languages, accents, and cultural contexts, and collaborating with technical staff to enhance annotation tools and AI performance in speech processing.