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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Staff AI Engineer, Model Post-Training and Alignment”. A match may be a passing mention rather than the job itself. Titles only.
189 roles across 205 listings · show every listing · page 3 of 8
…operating model. Modernize the carrier experience to reduce friction across load acceptance, scheduling, and payment touchpoints. Collaborate with global Engineering, Design, and Operations teams…
…infrastructure that powers the next generation of AI training and inference at scale. As a Staff Engineer on our Orchestration team, you will collaborate…
…the broader Infrastructure, Platform, and product engineering to drive architectural decisions across storage, compute, deployment, and orchestration to align the data ecosystem with Patreon…
…and engineers - Hands-on experience building real-time AI systems — speech, audio, or video - Track record with post-training methods: reinforcement learning, reward modeling…
…As a Staff Engineer, you will set the technical direction for test coverage and quality standards across the organization.The AI and Infrastructure team…
…and aligning industry strategy and business-value cases with hands-on co-engineering so that banking/ insurer AI and agent scenarios scale securely and…
…Develop and Ship Models on Device Get models running within firmware constraints — from Data Science or built and trained yourself, increasingly with AI-assisted…
…algorithms, and software engineering principles. - Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy…
…data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that…
…and aligning industry strategy and business-value cases with hands-on co-engineering so that banking/ insurer AI and agent scenarios scale securely and…
…AI. You will operate across two focus areas: advancing foundation models for speech and audio, and building the post-training systems (reward modeling, reinforcement…
…model. We're looking for someone who does both halves — the engineering throughput of a strong platform engineer, and real depth in post-training…
…Partner cross-functionally with Product, Engineering, Content Design, Research, Data Science, and AI teams to define problems, align requirements, and deliver cohesive user experiences…
…Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase…
AWS runs the world's largest fleet of AI/ML accelerator servers. When a model with billions of parameters trains across a large scale…
…Support AI/ML workflows by designing feature pipelines, clean data products, and a governed knowledge layer that keeps data semantically aligned for reliable model…
…this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants , and hereby consent to…
…applied AI/LLMs (agentic workflows, prompt engineering, RAG, evals, or LLM tool use), and clear-eyed judgment about where models help and where they…
…sound engineering practices to build software and design training & inference pipelines Collaborate across our engineering organization and other cross functional teams to align efforts…
…Proven expertise in the full lifecycle of Foundation Models: from pre-training data curation (interleaved formats, tokenization) and distributed training to advanced post-training…
…Proficiency with SQL and familiarity with data modeling concepts. Experience working with data teams (engineering, analytics, and data science). Knowledge of data governance, privacy…
…across model serving, inference, retrieval, and agent frameworks, and an understanding of how AI products are developed, delivered, and adopted. Hands-on engineering skills…
…As a Staff Security Engineer, you’ll operate at the intersection of security engineering and AI innovation - pioneering new approaches to emerging AI security…
…models), multimodal training, self-supervised and representation learning, RL-based post-training (PPO/DPO/GRPO), and large-scale distributed training (data, model, and context…
…train our models and measure the incremental impact of our identity graph. Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product…