Member of Technical Staff, Mid-training
$180kxAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands‑on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role The mid‑training team at xAI aims to provide an omni model that can understand the universe through text, image, video and audio. To accomplish this, we are looking for expert engineers in multimodal mid‑training data. Python JAX and XLA Spark Ray Location The role is based in the Bay Area (San Francisco and Palo Alto). Candidates are expected to be located near the Bay Area or open to relocation. Focus Design synthetic data algorithms that push the frontiers of model intelligence. Distill the intelligence of flagship models into flash models through synthetic data generation. Optimize mid‑training data mixtures to boost the ceiling for RL. Develop robust and diverse evaluation for mid‑training checkpoints. Ideal Experience Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws. Strong ability to design ML experiments. Familiarity with state‑of‑the‑art techniques for curating AI training data for text, image, audio, and video modalities. Strong engineering abilities in Spark, Ray, and other frameworks for large‑scale data processing. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15‑minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long‑term disability insurance, life insurance, and various other discounts and perks. Interested in building your career at xAI? Get future opportunities sent straight to your email. #J-18808-Ljbffr xAI$180k
...with their teammates. About the Role The mid‑training team at xAI aims to provide an omni... ...interview (“phone interview”) during which a member of our team will ask some basic... ...the main process, which consists of four technical interviews: Coding assessment in a language...TrainingTemporary workRelocation$180k
...docker verification. Distill the intelligence of flagship models into flash models through synthetic data generation. Optimize mid-training data mixtures to boost the ceiling for RL. Engineer long-context data recipes. Develop robust and diverse evaluation for...TrainingTemporary work- ...hardware revolution. What You'll Do As a Founding Member of the Technical Staff (ML infra) at Architect, you'll be responsible for the critical... ...and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI...Training
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- ...accurate. In partnership with Radiology Partners, Cognita’s models are trained and validated on one of the world’s largest real-world radiology datasets. About the Role As a Member of Technical Staff focused on ML Evaluation, you will be responsible for understanding...Training
- ...accurate. In partnership with Radiology Partners, Cognita’s models are trained and validated on one of the world’s largest real-world radiology datasets. About the Role As a Member of Technical Staff focused on model training, you will be responsible for building...Training
$180k
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$180k - $250k
Member of Technical Staff -- TPU Systems (JAX / XLA / PALLAS) About the Role RadixArk is looking for a TPU Systems Engineer to build high-performance inference and training systems using JAX, XLA, and Pallas. You'll push large-model workloads to their limits on TPU hardware...TrainingFull timeFlexible hours$180k
...experience on X Write data pipelines and training jobs that continuously learn from... ...interview (“phone interview”) during which a member of our team will ask some basic questions... ...main process, which consists of four technical interviews: Coding assessment in a language...TrainingLocal areaRelocation$180k
Member Of Technical Staff - Cloud Infrastructure ABOUT xAI xAI’s mission is to create AI systems that can accurately understand the universe and... ...projects. In this role, you will develop and manage training and inference clusters, as well as highly reliable applications...TrainingTemporary work- Member of Technical Staff -- Cluster / Platform About the Role RadixArk is looking for a Member of Technical Staff (Cluster / Platform) to architect... ...the core compute platform that powers frontier-level AI training and inference. You will design and operate highly...TrainingFlexible hours
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...infrastructure for reinforcement learning training environments, including building and... ...interview (“phone interview”) during which a member of our team will ask some basic... ...the main process, which consists of four technical interviews: Coding assessment in a language...TrainingLocal areaRelocation- Member of Technical Staff (Data Acquisition) About the Role Your mission is to build and operate the ingestion systems that turn the open web... ...audio sources into reliable, well-structured corpora for training Sanas's frontier speech models. You'll own the machinery that...Training
$180k
Member of Technical Staff - Multimodal Understanding About xAI xAI’s mission is to create AI systems that can accurately understand the universe... ...the full stack: data curation/acquisition, tokenizer training, large‑scale pre‑training, post‑training/alignment, infrastructure...TrainingTemporary work$90k - $130k
Member of Technical Staff - Program Analysis This role is based in Palo Alto, California, and follows a hybrid work model. If you’re excited about... ...security. Experience with ML systems in production (training pipelines, evaluation frameworks, model serving, feedback...Training- ...two minutes and one that lasts two hours. As our RecSys founding member, you'll own this problem end-to-end - set the architecture,... ...Own the full data pipeline - ingestion, feature engineering, training data construction, and low-latency serving Build personalization...Training
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- Member of Technical Staff - Foundation Model Architecture & AI Infrastructure Vinci | Full-Time | Remote / Hybrid The Mission At Vinci, we are... ...box across industries on realistic production workloads. Trained on 45TB+ of structured physics data Running billion-voxel...TrainingFull timeRemote work
$180k
Member of Technical Staff - RL Infrastructure About xAI xAI’s mission is to create AI systems that can accurately understand the universe and... ...require complex pre-processing to prepare it for large-scale RL training. How do we standardize our preprocessing pipelines to...TrainingTemporary work- RadixArk is hiring a Member of Technical Staff — CI Engineer to own the infrastructure that keeps SGLang moving. Our CI system runs 300+ GPU tests... ...by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens...TrainingFlexible hoursNight shift
- ...experience). Bonus Points For Experience with LLM context engineering or harness engineering. Experience in mid-training or post-training frontier open source models Experience in large scale user-centric and content-centric personalization challenges...Training
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