Future Tech Jobs
Future Tech Jobs
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
Computational Protein DesignerThe opportunityWe are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working closely with our Lead Computational Protein Designer, you will play a key role amongst...
This role involves building and deploying features for North, Cohere's AI workspace platform, and developing autonomous agents that integrate with enterprise data. You will work closely with clients in sectors like finance, healthcare, and telecommunications, solving complex problems and delivering high-quality solutions.
This role involves owning the technical strategy and roadmap for node lifecycle management, including ingestion, bring-up, health checking, and automated repair of compute resources. You will drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerators, ensuring high reliability and efficiency in Anthropic’s AI research infrastructure.
The role involves building and maintaining critical systems for serving Claude, a large language model, to millions of users. Responsibilities include optimizing compute efficiency, enabling breakthrough research, and tackling complex distributed systems challenges across multiple cloud platforms and AI accelerators.
This role involves building and maintaining a full-stack application using Next.js, React, and TypeScript, while developing backend services with PostgreSQL and Prisma. You will work closely with AI engineers and cross-functional teams to integrate and orchestrate multiple LLM providers and AI APIs, and manage cloud infrastructure on GCP.
This role involves unifying complex data systems, shaping AI-driven analytics, and leading the development of scalable data platforms. You will collaborate with product, engineering, and ML teams to integrate AI and machine learning, build data pipelines, and mentor engineers.
This role involves conducting research and implementing solutions in areas like model architecture, algorithms, and data processing for large language models. You will lead small projects, collaborate on larger initiatives, and optimize training infrastructure to ensure AI systems are safe, steerable, and trustworthy.
This role involves owning critical aspects of Anthropic's production pretraining pipeline, including performance optimization, debugging complex issues, and improving training efficiency. The position is highly operational, requiring responsiveness to incidents and flexibility during model launches, with significant learning opportunities.
This role involves conducting research on the science of converting compute into intelligence, leading small research projects, and optimizing training infrastructure for large language models. You will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe and trustworthy AI systems.
This role involves collaborating with researchers and engineers to advance the capabilities and safety of large language models through reinforcement learning. Responsibilities include developing core RL infrastructure, designing novel training environments, and optimizing performance across the stack.
As a Research Engineer on the RL Velocity team, you will focus on building and improving the RL training infrastructure, identifying and removing bottlenecks, and partnering with researchers and engineering teams to enhance the efficiency and reliability of Anthropic's AI systems. This role involves high-leverage work that impacts the entire organization's ability to iterate and improve models quickly.
As a Research Engineer on the Alignment Science team, you will design and execute machine learning experiments to ensure AI systems are safe, helpful, and aligned with human values. You will collaborate with other teams to test and improve safety techniques, develop evaluation tools, and contribute to research papers and presentations.
This role involves designing, building, and maintaining internal review and enforcement tools for the Safeguards team. You will work closely with operations and policy teams to improve workflows, integrate with detection systems, and ensure the tools are reliable and secure.
This role involves developing foundational systems for AI safety, including data storage, metric evaluation, and human review tools. The focus is on building robust defenses to prevent misuse and ensure user well-being, with a strong emphasis on operational reliability and scalability.
