OpenAI Jobs

Scale AI

As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows, understanding their unique challenges, architecting custom AI solutions, and ensuring successful deployment and adoption of AI systems in production environments.

Scale AI

Scale AI is seeking a Senior/Staff Machine Learning Engineer for its General Agents team. This role is crucial in designing, building, and deploying production-ready AI agents to address high-impact enterprise challenges. You will be involved in the entire agent lifecycle, from conceptualization and system design to evaluation, deployment, and ongoing iteration. The position requires bridging cutting-edge agentic techniques with the practical demands of real-world customer environments, focusing on creating scalable, reliable, and generalizable agent systems.

$265k - $331k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone. We build open-weight AI systems that serve as a foundational intelligence layer for researchers, developers, and enterprises. This role is crucial for building and owning Reflection's presence within the key communities of researchers and developers, who are our earliest adopters and a core distribution channel for frontier AI. We are seeking an individual with a deep understanding of these communities, a clear vision for engagement, and the ability to authentically represent Reflection as a passionate participant in the AI ecosystem.

Scale AI

This internship focuses on building and deploying AI-powered tools, automating workflows, and implementing agentic systems for use by Scale AI teams. You will be embedded within the Data & Technology organization, collaborating directly with engineers, data scientists, and operations leads on live automation initiatives. The role is ideal for individuals with a strong understanding of current AI capabilities, a preference for hands-on building over theoretical exploration, and proficiency in modern LLM tooling.

$74k - $112k

Harvey

Harvey is transforming legal and professional services by integrating frontier agentic AI with an enterprise-grade platform. We are seeking a Staff Technical Program Manager, Platform & Infrastructure to lead critical scaling initiatives. This role involves acting as the central point of contact across Core Infrastructure, Backend Platform, and product engineering teams, as well as cross-functional departments like Security and Finance. You will be responsible for multi-quarter horizontal programs focused on cloud migrations, cost optimization, capacity planning, BYOC, and building foundational internal platform elements. The position requires deep technical engagement with senior engineers, aligning leadership on long-term plans, and driving programs from initial concept to successful delivery.

$188k - $278k

Scale AI

As a Forward Deployed AI Engineering Manager on our Enterprise team, you will serve as the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You will work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This management role combines deep engineering and AI expertise with leadership and customer-facing problem-solving, integrating AI into critical customer workflows.

Cartesia is seeking a Software Engineer, Agents to develop the backend platform for Line, their voice agents product. This role involves owning backend development end-to-end, shaping the latency, reliability, and developer experience of agents built on the Cartesia platform. The position requires building and operating distributed systems, taking projects from specification to production, making critical architectural decisions, and defining the developer experience for engineers using the platform.

thinkingmachines

Thinking Machines Lab is seeking pre-training researchers to join their mission of advancing collaborative general intelligence. This role is central to developing the next generation of AI models by blending research with large-scale data engineering. You will be responsible for assembling pre-training datasets and data systems, designing and implementing methods for sourcing, curating, and analyzing data for quality and performance. The position involves working with automated pipelines and human-in-the-loop processes, contributing both scientific insights and production-grade code. It's an ideal opportunity for individuals passionate about the intersection of data, machine learning, and systems, and who are eager to shape the future of AI.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking researchers to bridge the gap between raw AI intelligence and useful, safe, and collaborative systems. This role focuses on post-training data research, combining human insight and machine learning techniques to capture and steer model behavior based on human preferences. You will be responsible for translating research ideas into actionable data through labeling and collection campaigns, understanding data quality science, and developing metrics to measure the impact of data and training interventions. The position also involves exploring new paradigms for human-AI interaction and scalable oversight, blending research, data operations, and technical implementation to advance human-centered AI systems. This role requires both fundamental research and practical engineering, making it ideal for individuals who enjoy deep theoretical exploration and hands-on experimentation.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure research engineer to design and build core systems for efficient large-scale model training, with a specific focus on numerics. This role involves enhancing the numerical foundations of their distributed training stack, optimizing precision formats, kernel optimizations, and communication frameworks to ensure stable, scalable, and fast training of trillion-parameter models. The ideal candidate will bridge research and systems engineering, possessing a strong understanding of both optimization mathematics and distributed compute realities.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure research engineer to design, optimize, and maintain the compute foundations for large-scale language model training. This role involves developing high-performance ML kernels, enabling efficient low-precision arithmetic, and improving the distributed compute stack. You will work closely with researchers and systems architects, bridging algorithmic design with hardware efficiency, prototyping new kernel implementations, and defining numerical and parallelism strategies for scaling AI systems.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure engineer to lead and enhance the security infrastructure for their foundation models. This role involves working across compute, storage, networking, and data platforms to ensure systems are secure, reliable, and scalable. The engineer will define security controls, architecture, and tooling, integrating security by default into the platform. Collaboration with research and product teams will be key to enabling rapid progress while maintaining robust protection for models, data, and environments.

$200k - $475k

thinkingmachines

Thinking Machines Lab is seeking a Software Engineer focused on security to ensure their AI products are secure by default while enabling rapid product iteration. This role involves embedding with product and research teams to integrate security into the design and development process, as well as building tools and automation to maintain system safety at scale. The company is dedicated to advancing collaborative general intelligence and empowering users with AI tools tailored to their needs.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking generalist infrastructure and systems engineers to build the core systems powering their foundation models and support internal research and product development teams. This high-impact role involves architecting and scaling critical infrastructure across the full technical stack, solving complex distributed systems problems, and building robust, scalable platforms. You will work directly with researchers to accelerate experiments, improve infrastructure efficiency, and enable key insights across models, products, and data assets.

$350k - $475k

Mistral AI

Mistral AI is seeking an Evaluation Engineer to join our customer-facing Applied AI team. This role is crucial for ensuring our AI solutions are production-ready by designing methodologies, building infrastructure, and defining evaluation standards across various industries and use cases. You will bridge the gap between research and customer needs, creating evaluation frameworks that measure LLM performance in real-world scenarios, moving beyond standard benchmarks to address domain-specific risks and requirements. This position offers a unique opportunity to impact the deployment of cutting-edge AI by directly contributing to its measurable success for enterprise clients.

Cohere

Cohere is seeking a Senior Member of Technical Staff focused on Multimodal AI to join their cutting-edge enterprise AI company. This role involves designing and developing advanced multimodal AI systems that integrate text, speech, and vision, pushing the boundaries of what's possible in AI. You will have access to exceptional compute resources and collaborate with world-class teams to innovate and shape the future of AI. The position is ideal for individuals passionate about machine learning and its real-world applications, who enjoy optimizing large models and thrive in a fast-paced, technically challenging environment.