Find your next AI Engineering role

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Technical Program Manager for Security, you will lead the execution of critical programs spanning security engineering, infrastructure, and cross-functional teams. This role is responsible for developing and implementing technical security programs that align with Anthropic's Responsible Scaling Policy and enhance the company's security posture amidst rapid growth. You will operate at the intersection of Security Engineering, Compliance, Infrastructure, Product, Research, and Policy, requiring adaptability, sound judgment under pressure, and the ability to translate complex security needs into actionable plans with tight deadlines.

Anthropic

Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

Anthropic

Anthropic is seeking an exceptional Detection and Response engineer to build solutions for monitoring threats, investigating incidents, and coordinating response efforts. This role offers the opportunity to shape security capabilities from the ground up alongside world-class research and security teams. The ideal candidate will be at the forefront of safeguarding advanced AI systems.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Interpretability team focuses on mechanistic interpretability, aiming to reverse engineer how trained models work by discovering how neural network parameters map to meaningful algorithms. This role supports a team of expert researchers and engineers dedicated to understanding the internal workings of large language models at a deep, mechanistic level. The manager will play a critical role in ensuring the team meets its ambitious safety research goals by partnering with an individual contributor research lead to drive team success, translate research ideas into tangible goals, and oversee execution. Responsibilities include managing team execution, careers, performance, facilitating inter-team relationships, and driving the hiring pipeline.

Anthropic

The Interpretability team at Anthropic is dedicated to reverse-engineering how trained language models work, believing that a deep mechanistic understanding is crucial for ensuring the safety of advanced AI systems. This role focuses on mechanistic interpretability, aiming to map neural network parameters to meaningful algorithms, akin to performing 'biology' or 'neuroscience' on neural networks. The team's work involves developing tools and methods to understand complex models, addressing challenges like 'superposition' and decomposing models into interpretable components. Collaborations with other Anthropic teams, such as Alignment Science and Societal Impacts, are integral to applying this research to enhance AI safety.

Anthropic

The Interpretability team at Anthropic is dedicated to understanding how large language models work, believing that a mechanistic understanding is key to making advanced AI systems safe and reliable. This role involves building and maintaining the specialized infrastructure for interpretability research, akin to performing 'neuroscience' on neural networks. The work spans the entire lifecycle of a production language model, from pretraining and inference to performance optimization, pushing the boundaries of hardware and software to address critical bottlenecks. As interpretability research matures and is applied to safety audits on frontier models, engineering and infrastructure have become crucial, making this role directly impactful on one of AI's most significant open problems.

Anthropic

As a Product Support Specialist, you will be at the forefront of safely deploying AI to the world. Your daily tasks will involve responding to, investigating, and tracking user needs. You will also play a key role in identifying and addressing gaps in our team's technical knowledge, providing high-level support to important customers, and demonstrating a strong commitment to scaling our customer support processes effectively.

Anthropic

We are seeking an Engineering Manager, GRC to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalize it, and make it actionable. Success in this role comes from understanding how systems connect and how data flows between them. At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Anthropic

Anthropic is seeking software engineers to develop safety and oversight mechanisms for their AI systems. This role focuses on building systems to detect unwanted model behaviors, prevent misuse, and ensure user well-being, enforcing terms of service and acceptable use policies. You will apply your technical skills to uphold principles of safety, transparency, and oversight.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As an ML Systems Engineer on the Reinforcement Learning Engineering team, you will build and improve the critical algorithms and infrastructure that researchers use to train AI models like Claude. Your work will directly enable breakthroughs in AI capabilities and safety, focusing on enhancing the performance, robustness, and usability of these systems to accelerate research progress. You will support and empower the research team in their mission to build beneficial AI systems, specifically by building, maintaining, and improving the algorithms and systems used for finetuning production and research models with methods like RLHF.

Anthropic

Anthropic is seeking ML Engineers and Research Engineers to join the Safeguards ML team. The primary focus of this role is to develop systems that detect and mitigate misuse of AI systems, ranging from individual policy violations to sophisticated coordinated attacks. You will build defenses to ensure product safety as AI capabilities advance, protect user well-being, and guarantee appropriate model behavior across various contexts. This work is crucial for Anthropic's Responsible Scaling Policy commitments.

Anthropic

Anthropic's ML Performance and Scaling team is responsible for training the company's production pretrained models, a critical function that directly shapes the future of Anthropic and its mission to build safe, beneficial AI systems. As a Research Engineer on this team, you will ensure that frontier models train reliably, efficiently, and at scale. This role bridges the gap between research and engineering, involving work across the entire production training stack, including performance optimization, hardware debugging, experimental design, and launch coordination. During model launches, the team operates in close collaboration, addressing production issues that require immediate attention.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for users and society. The Security Engineering team is crucial in protecting these AI systems and maintaining user trust. This role involves defining authentication architecture, designing cryptographic foundations for model weights and training data, and leading the developer security program. The team collaborates across identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, with opportunities to contribute across these areas based on strengths and priorities.

Anthropic

Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency. Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization. Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

Anthropic

As a Research Engineer on our team, you will work end-to-end across the entire model stack, identifying and addressing key infrastructure blockers on the path to scientific AGI. You should have familiarity with elements of language model training, evaluation, and inference, and be eager to quickly dive into and get up to speed in areas where you are not yet an expert. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large-scale data pipelines. Join us in our mission to develop advanced AI systems that push the frontiers of science and benefit humanity.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As a TPU Kernel Engineer, you will be responsible for identifying and addressing performance issues across various ML systems, including research, training, and inference. A significant part of this role involves designing and optimizing kernels specifically for the TPU, and providing feedback to researchers on how model changes affect performance. We are looking for individuals with a strong background in solving large-scale systems problems and performing low-level optimizations.

Anthropic

Anthropic is seeking a Research Engineer/Scientist for its Alignment Science team. This role involves designing and executing machine learning experiments to understand and steer the behavior of advanced AI systems, with a focus on AI safety and potential risks from future human-level AI. You will collaborate with other teams on exploratory research, contributing to Anthropic's mission of creating reliable, interpretable, and steerable AI systems that are helpful, honest, and harmless.

Anthropic

Anthropic is seeking a Research Engineer to join its Pre-training team, focusing on developing the next generation of large language models. This role operates at the intersection of cutting-edge research and practical engineering, contributing to the creation of safe, steerable, and trustworthy AI systems. The team is dedicated to ensuring that transformative AI systems are aligned with human interests and societal benefit.

Anthropic

Anthropic's performance and scaling teams focus on making the most efficient and impactful use of our compute resources for inference and training. As an Engineering Manager on these teams, you will be responsible for identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You will also help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.

Anthropic

Anthropic is dedicated to building reliable, interpretable, and steerable AI systems that are safe and beneficial for society. As a Research Engineer on the Discovery Team, you will work end-to-end to identify and address key blockers on the path to scientific Artificial General Intelligence (AGI). This role involves improving models' abilities to use computers, acting as a laboratory for long-horizon tasks and a crucial component for scientific workflows. You will collaborate with a team of researchers and engineers focused on pushing the scientific frontier.

Anthropic

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. For this role, interviews are conducted in Python, and the position may require responding to incidents on short notice, including weekends.

Anthropic

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Application Security team plays a crucial role in integrating security throughout the software development lifecycle. In this hands-on technical role, you will collaborate with software engineers and researchers to embed security from design to implementation. You will lead threat modeling and secure design reviews, proactively identify and mitigate risks, and build tools to support secure coding practices. Your work will influence our tooling, detection capabilities, and defenses against emerging AI/ML threats, while also developing standards, processes, and educational resources to empower all engineers as security champions. This role requires a security practitioner with an attacker's mindset, a developer's perspective, and strong relationship-building skills.

Anthropic

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As a Performance Engineer, you will identify and solve novel systems problems that arise from running machine learning (ML) algorithms at scale. You will develop systems to optimize the throughput and robustness of our largest distributed systems. This role requires a strong track record of solving large-scale systems problems and a desire to become an expert in ML.

Anthropic

Anthropic is seeking Research Engineers to reimagine how Claude interacts with external data sources. This role involves designing novel architectures for organizing information and training language models to effectively utilize these architectures. The goal is to move beyond traditional data paradigms to accommodate the capabilities of Large Language Models (LLMs).

Legora is seeking exceptional Security Engineers to build and maintain the security foundation of our AI-native legal workspace. This is a hands-on engineering role where you will own security end-to-end, developing tooling and guardrails to ensure security is integrated into our multi-tenant AI platform and multi-cloud environment. You will embed with engineering teams, making secure design, development, and operations the default path. We are looking for T-shaped engineers with deep expertise in Application Security, Detection Engineering & Response, or Cloud & Platform Security, who can also operate credibly across the other areas.

Replit

Replit is seeking a Social Media Support Specialist to manage their social media presence and community interactions while assisting developers with technical issues, billing inquiries, and product usage questions. This role involves acting as a liaison between the community and Replit's engineering and product teams, bubbling up important feedback and areas for improvement. The specialist will engage with developers across various platforms, ensuring they have the support needed to bring their ideas to life and contribute to Replit's mission of democratizing software development.

Replit

Replit is seeking a Social Media Support Specialist to join their team. This role is at the forefront of assisting developers with their creations while managing the company's social media presence and community interactions. You will help address complex technical issues, billing inquiries, account management, and product usage questions across various platforms like X (Twitter), LinkedIn, Reddit, and app stores. You will also be responsible for escalating important feedback and issues to the engineering and Product teams, acting as a key voice in community engagement. This position is part of a global support team dedicated to ensuring developers worldwide receive the assistance they need.

Replit

Replit is seeking an AEO/GEO/SEO Lead to spearhead the company's discovery strategy across both AI-generated answers and traditional search engines. This is a foundational role where you will define and execute a zero-to-one strategy, leveraging AI production, agency partners, and cross-functional teams. The goal is to make Replit the primary answer when users inquire about building software, driving significant growth through AI referral traffic and compounding traditional search presence. You will collaborate closely with Web, Growth, Brand, Content, Product, Engineering, and Analytics teams in a fast-paced, experimental environment.

Abridge

Abridge is seeking a Senior Product Counsel specializing in Data Products, Machine Learning, and Artificial Intelligence. This role will serve as the primary legal advisor for teams developing Abridge's AI and machine learning models, products, and technologies. You will be at the forefront of legal, AI, and healthcare, advising product teams on cutting-edge AI developments, from ambient clinical documentation to emerging agentic and multimodal healthcare experiences. This is a unique opportunity to shape how a category-defining company navigates novel legal terrain in a fast-paced, high-growth startup environment.

Cohere

Cohere is seeking an exceptional Customer Success Manager with deep expertise in the French public sector and government landscape to lead our most strategic government accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of French government organizations. You will own the success, adoption, and growth of Cohere's French public sector customers, ensuring they realize maximum value from our AI solutions. You will build deep, trusted relationships with senior French government stakeholders and serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction. You will also guide customers through the full lifecycle of AI adoption, from use case identification and pilot design through production deployment and scaling, while navigating the unique challenges of French public sector AI adoption.

OpenAI

OpenAI is seeking dedicated and curious individuals to join our User Operations team as an AI Support Engineer in Tokyo. This role involves working directly with customers to resolve complex technical issues, troubleshoot high-impact problems, and provide technical guidance on OpenAI's products and platform. You will be a critical line of defense for customers operating at massive scale, helping to define the future of post-AGI support. Beyond issue resolution, you will partner with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience by leveraging automation and AI technologies.

LangChain is seeking a Business Systems Analyst to join their GTM Systems team. This role will own the requirements, prioritization, and quality assurance for the company's Salesforce-centered Go-To-Market systems. You will translate complex revenue team needs into scalable process and system changes, focusing on high-leverage programs rather than a reactive ticket queue. This position requires close collaboration with Sales, Marketing, Partnerships, Support, and Finance teams in a dynamic environment where influence and strategic alignment are key. While you won't be writing production code, you will be responsible for creating clear specifications for engineers and AI coding agents, and for reviewing their output to ensure accuracy and correctness.

$165k - $180k

Lambda is seeking a Technical Success Engineer to join their Superintelligence business unit. This role is responsible for managing the deployment of AI cloud infrastructure for large, strategic customers, taking projects from contract signing to a fully operational production environment. You will act as the primary technical contact, ensuring customer requirements are met by validating configurations, identifying gaps, and collaborating with engineering and infrastructure teams to resolve issues. The goal is to ensure a seamless transition to production and customer self-sufficiency.

Decagon is seeking a Senior Individual Contributor Agent Data Scientist to join their team. This role focuses on defining, measuring, and demonstrating the value of Decagon's conversational AI platform to enterprise clients. You will work directly with customers to establish key performance metrics, operationalize them, and drive improvements. This position requires a blend of quantitative rigor, executive advisory skills, and entrepreneurial ownership, with the opportunity to significantly influence the product roadmap by tackling novel measurement challenges and building frameworks that empower the broader Decagon organization.

$165k - $215k

Clay is seeking a Data Science Manager to lead its Data Science and Analytics (DSA) team. This team acts as a center of excellence for experimentation, metric design, insights, and data-driven decision-making across all business functions. The manager will play a crucial role in shaping product and business strategy by partnering with executives, using data to set the internal narrative, and driving strategic influence within one of the fastest-growing AI businesses. The team leverages AI for data, notably with an in-house AI agent named "Monty" that has addressed self-serve analytics challenges. The ideal candidate will possess strong data intuition, product and business acumen, and exceptional data storytelling skills.

OpenAI

We’re hiring a Data Scientist to support our fast-moving global Real Estate & Workplace (REW) team, focused on creating workplaces that enable OpenAI’s people to do their best work while scaling operations. This role is grounded in understanding how people use space and services, collaborate across environments, and experience the workplace. You’ll work across a broad data landscape, build trusted relationships, and inform high-impact decisions with immediate, visible effects. This is a high-ownership role spanning analytical strategy and hands-on execution, where you’ll help define the future of workplace operations at OpenAI using AI-native analytics. You’ll shape the Data Science roadmap, identify opportunities for forecasting, experimentation, and optimization, and translate business priorities into an analytical plan. You will own stakeholder-facing execution, including agent-built dashboards, recurring reporting, models, and decision tools, ensuring their adoption and measurable business impact.

Legora is seeking its first dedicated Procurement hire in New York to build and optimize its intake-to-PO infrastructure from the ground up. This foundational role, reporting to the Head of Procurement, involves designing and implementing new processes on current platforms, then owning their day-to-day operation. The ideal candidate will work at the intersection of Finance, Legal, Security, and IT, directly contributing to the company's growth by bringing order to ambiguity and scaling purchasing processes beyond current Slack threads and spreadsheets. This is an opportunity for someone who thrives on building scalable systems and driving impact in a fast-paced, high-growth environment.

Legora is seeking software engineers to join its fast-moving team, working on technically difficult projects to revolutionize the legal industry with cutting-edge AI and LLM technology. The role involves architecting and implementing AI and LLM features end-to-end for their web platform, building systems for lawyers to work with complex documents using grounded, reliable AI, and designing/evaluating agentic workflows, retrieval strategies, and LLM-powered product experiences. This is a Stockholm-based, 5-day in-office role.