Find your next AI Engineering role

Harvey

As a Staff Product Designer at Harvey, you will be instrumental in managing multiple projects from their initial ideation through to their successful launch. Your role will involve creating high-quality designs, interactions, and prototypes that effectively translate complex problems into intuitive solutions. You will collaborate closely with engineers, AI researchers, product managers, and legal professionals, with a specific focus on integrating AI in meaningful ways. This includes crafting interfaces that empower users to understand, trust, and effectively guide AI outputs, ensuring a seamless and productive user experience.

$200k - $260k

Harvey

Harvey is transforming legal and professional services by combining AI, an enterprise platform, and domain expertise. This is a chance to help build a generational company at an inflection point, with strong product-market fit and investor support, as we scale rapidly and define a new category. The team moves fast, takes ownership, and is committed to the mission, valuing decisiveness, simplicity, and continuous improvement. As a Backend Platform Engineer, you will build and operate the cohesive backend platform supporting all Harvey services. This role focuses on designing and implementing shared frameworks and libraries to abstract common concerns, enhance developer experience, and improve reliability and performance across teams, enabling product engineers to focus on shipping features.

$238k - $290k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their intelligence and shape the future of AI. In this role, you will be instrumental in advancing AI innovation by focusing on data, which is critical for developing capabilities like agentic tool use, long-horizon reasoning, and robust safety alignment. You will collaborate with world-class researchers to design and implement our data strategy, directly influencing the performance of our AI models.

Replit

Replit is seeking a Staff Software Engineer specializing in monetization systems to lead this critical area of the company. This role offers a direct line to business impact while ensuring a positive user experience for billing and payment processes. The ideal candidate will build reliable, scalable billing systems and abstractions, translating complex pricing into intuitive user interfaces. This position is crucial for democratizing software development by removing barriers to application creation.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We are seeking a core member for our Applied AI team to lead Forward Deployed Engineering efforts with enterprise customers. This role involves translating advanced AI research into high-impact, real-world applications, owning the technical strategy and delivery of agentic systems from discovery to production launch.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone to use, customize, and build on. We are building open models that empower individuals to control their intelligence and shape the future of AI. As a Member of Technical Staff - Evaluations, you will play a critical role in advancing our understanding of model capabilities through rigorous analysis and by building and refining evaluation systems. Your work will create tight feedback loops between data, evaluations, and model behavior, leading to tangible model improvements.

Cohere

Cohere is seeking a Member of Technical Staff in Data Analysis and Evaluation to ensure the quality, reliability, and performance of our large language models (LLMs). This role involves designing and conducting data collection tasks, assessing dataset quality, and analyzing model robustness and generalisability. You will collaborate with researchers, engineers, and data annotators to drive data-driven decisions and enhance AI system effectiveness. The position requires expertise in statistics, experimental design, and machine learning to ensure high-quality data and reliable model performance across diverse scenarios, contributing to Cohere's mission of advancing AI.

Mistral AI

Mistral AI is seeking a talented and experienced Product Manager to define and execute the strategy for Forge, a product that empowers customers to build, fine-tune, and deploy custom AI models at scale. Forge transforms cutting-edge research into enterprise-ready capabilities by supporting model fine-tuning, reinforcement learning, and post-training workflows. This role operates at the intersection of research and product, enabling customers to train specialized models for real-world business value. You will collaborate closely with applied AI scientists and research engineers to translate frontier techniques into scalable and reliable solutions, shaping a 0-1 product with significant business impact and defining the future of how organizations train and deploy AI models.

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are building a unified, agentic platform for all legal knowledge work, serving as the orchestration layer for complex workflows and multi-step tasks. The Core Product pillar is central to this evolution, responsible for architecting platform foundations and user experiences that power the next generation of AI-native legal applications. This role offers a unique opportunity to help build a generational company at an inflection point, scaling fast and defining a new category.

$320k - $360k

Mistral AI

Mistral AI is seeking an experienced negotiator for its Strategic Data & Licensing Partnerships team. This role focuses on sourcing, licensing, and establishing partnerships for high-value content such as books, journals, research papers, academic datasets, and multimedia, crucial for AI training, retrieval-augmented generation (RAG), and distribution. The successful candidate will be responsible for driving the acquisition of premium content, negotiating complex agreements, and cultivating long-term relationships with publishers, universities, research institutions, and data providers. This position requires close collaboration with cross-functional teams to ensure access to quality data aligned with Mistral AI's objectives and to enable innovative data utilization. The ideal candidate is a results-driven negotiator and strategic thinker passionate about AI, academic content, and ethical data practices, with a proven history of closing significant deals in relevant sectors.

Harvey

Harvey is transforming the legal and professional services industry by integrating advanced AI with an enterprise platform and deep domain expertise. This role offers a unique opportunity to contribute to a rapidly scaling, category-defining company that has already achieved significant product-market fit with over 1500 customers globally. The team operates with intensity, ownership, and a commitment to continuous improvement, valuing decisiveness, simplicity, and a "Job's Not Finished" mindset. If you are driven to do your best work alongside like-minded individuals, Harvey presents an unparalleled growth opportunity.

$220k - $320k

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of their AI solutions. This role involves working closely with customers from strategic vision to production implementation, sitting at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This position is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

Harvey

Harvey is seeking an Innovation Product Manager to transform how legal and professional services operate by combining frontier agentic AI with an enterprise-grade platform. This role involves working directly with leading law firms and corporate legal teams to translate complex legal work into AI-powered workflows and ensure their successful implementation. You will act as a thought partner, shaping pilots and deployments from discovery to firm-wide rollout, and influencing product direction based on user insights. The position offers a unique opportunity to be at the forefront of defining the future operating model of the legal industry.

$179k - $242k

Mistral AI

Mistral AI is seeking a strategic and execution-driven Product Manager to define and build the future of AI-agent interactions. This role involves designing highly capable agents by ensuring access to the right context and environments, including data, tools, MCP servers, Search Platform, and RAG. It's a highly cross-functional position requiring alignment with engineering, research, design, and business teams to create a scalable platform that empowers agentic capabilities while aligning with Mistral's broader product goals.

Cohere

Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are seeking engineers to join our team and contribute to the widespread adoption of AI. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications, acting as a bridge between our core North product and client engineering teams. You will be at the forefront of solving complex problems and securely integrating AI into critical sectors like finance, healthcare, and telecommunications, working with esteemed clients and focusing on Agentic AI.

Mistral AI

Mistral AI is seeking early-career software engineers, including new graduates or those with up to 1-2 years of experience, to join their software engineering teams. In this role, you will contribute to building and enhancing the core systems that power Mistral's products, such as AI Studio and Applications, as well as supporting operations like SRE, data, and security. You will play a key part in shaping how users and developers interact with the AI platform at scale, working closely with experienced engineers who will mentor and support your growth. This is an opportunity for enthusiastic graduates to learn, collaborate, and deliver impactful products in a fast-paced environment.

Harvey

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are a fast-scaling company with strong product-market fit, seeking ambitious individuals to help build a generational company. Our team operates with intensity, ownership, and a commitment to our mission, valuing decisiveness, simplicity, and continuous improvement. As a Software Engineer on the Site Reliability team, you will ensure the reliability, scalability, and performance of our legal AI platform, owning the systems that keep our platform fast, secure, and always on. Your work will be crucial in maintaining platform resilience as we grow across 50+ regions.

$200k - $260k

Harvey

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.  This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. What You’ll Do - Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions - Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements - Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention - Establish best practices for security, compliance, and reliability and collaborate across teams to drive these principles throughout the software lifecycle - Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality - Provide technical mentorship and leadership, promoting best practices and fostering team growth What You Have  - 10+ years of experience in Site Reliability Engineering or similar roles supporting production environments, with proven ability to mentor and guide technical teams - Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.) - Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.) - Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.) - Strong programming skills (Python, Bash, Go, or similar languages) - Proven track record of diagnosing complex system problems and implementing durable solutions - Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles - Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence Compensation Range $238,000 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

$238k - $290k

Cohere

Cohere is seeking a Senior ML Systems Engineer to join their team and build, maintain, and evolve the training framework that powers their frontier-scale language models. This role is ideal for someone passionate about large-scale training, distributed systems, and HPC infrastructure, offering the opportunity to design and maintain core components for fast, reliable, and scalable model training. You will also build tooling to connect research ideas to thousands of GPUs, working across the full stack of ML systems with significant autonomy and impact.

Mistral AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. In this role, you will lead project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.

Cohere

Cohere is seeking a Senior Machine Learning Engineer specializing in synthetic data to develop and manage the synthetic data pipeline crucial for advanced language models. This role involves end-to-end management of synthetic data, including pipeline optimization, data analysis and generation, and conducting data ablations and model evaluations. You will transform diverse web and code data using generative models to enhance token efficiency and model quality, bridging research and engineering to improve throughput and accelerator utilization. This position is key to Cohere's mission of delivering efficient and reliable language capabilities and driving innovation in natural language processing.

Mistral AI

Mistral AI is seeking a talented Product Manager to define and execute the product strategy for one of the squads within Mistral AI Studio. AI Studio is an enterprise platform designed to enable teams to build, evaluate, and operate AI systems reliably, safely, and at scale. It provides essential infrastructure for enterprises to move from prototypes to production, including full-stack observability, durable agent execution, and a governed AI Registry. As a Product Manager, you will be integrated into a specific squad and will define how enterprises close the loop from prompts to production, managing AI behavior observation, complex AI workflows, asset versioning and governance, and safe deployment across hybrid and self-hosted environments.

Cohere

Cohere is seeking an exceptional Customer Success Manager with expertise in the Montreal, Canada, private sector landscape to lead strategic commercial accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of organizations in a dynamic, fast-paced environment. You will be the trusted advisor and strategic partner for a wide range of private sector organizations, guiding them through the implementation of frontier AI in secure, regulated environments to ensure solutions deliver measurable impact while meeting stringent security, privacy, compliance, and ethical requirements. You will collaborate with various internal teams, serving as the voice of the customer internally and the face of Cohere externally for high-impact commercial engagements, shaping how Montreal's institutions leverage AI for innovation and growth.

CA$138k - CA$208k

Mistral AI

Mistral AI is seeking a strategic and execution-focused Product Manager to define and execute the strategy for Document AI, a primary interface for professionals to engage with our models. Document AI enables enterprise-grade document processing with state-of-the-art OCR and structured data extraction, aiming for faster processing, higher accuracy, and lower costs at scale. This role requires a blend of strategic vision, technical depth, business acumen, and user obsession to build experiences that empower millions of users, from professional consumers to enterprise clients. You will shape the next generation of AI-driven productivity tools, redefining how professionals interact with documents beyond conversational interfaces.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. This role is integral to the Applied AI Engineering team, driving the successful deployment of Mistral AI products by working hand-in-hand with customers from pre-sale to post-implementation. The engineer will integrate cutting-edge AI models into clients' software products and develop complex use cases, ensuring seamless integration with front-end and back-end interfaces. They will also collaborate with product and science teams to improve product and model capabilities based on customer feedback.

Replit

Replit is seeking a Data Scientist, Product to join their team and redefine how software is built. This role will focus on understanding user behavior and translating those insights into actionable strategies to drive product growth, improve user activation and retention, and contribute to revenue growth across self-serve and enterprise segments. The ideal candidate is a fast-paced, deep-diving data scientist who can quickly generate accurate analyses, rigorously test hypotheses, and leverage AI tools to enhance productivity while maintaining high standards for output quality. You will be instrumental in shaping product strategy and ensuring the success of Replit's mission to make programming accessible and AI-powered.

Replit

Replit is seeking a Design Engineer to bridge the gap between design and engineering. In this role, you will help shape our design system implementation, architect front-end solutions, and ensure seamless user experiences across our platform. You will be instrumental in creating the technical foundation that allows us to enable anyone with an idea to create apps.

Cohere

Cohere is seeking a Member of Technical Staff focused on Sovereign AI to design, build, and scale agentic AI systems for critical use cases. This role involves researching, implementing, and experimenting with novel ideas on supercompute and data infrastructure, with a strong emphasis on executing across the full AI stack to ship products serving the public interest. The position offers a unique opportunity to work with leading researchers and contribute to both production code and cutting-edge research, leveraging extensive compute resources and talent.

Cohere

Cohere is seeking an Audio Inference Engineer focused on Model Efficiency to join a fast-growing team of researchers and engineers. The mission of this team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will advance core audio model serving metrics, including latency, throughput, and quality by diving deep into systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You will collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.

Cohere

Cohere is seeking a Staff Research Engineer focused on Model Efficiency to join their cutting-edge enterprise AI company. This role is crucial for pushing the boundaries of Large Language Model (LLM) inference efficiency, addressing the current bottleneck in AI system capabilities. You will be responsible for developing, prototyping, and deploying techniques that significantly improve the speed and efficiency of our foundation models in production. This is an opportunity to contribute to the widespread adoption of AI by optimizing the model execution stack, including architecture, decoding, software/hardware co-design, and performance without compromising quality.

Cohere

Cohere is seeking a Member of Technical Staff focused on Model Efficiency to join a fast-growing team of researchers and engineers. This role is instrumental in pushing the boundaries of LLM inference efficiency, developing techniques to improve model execution in production for lower latency and higher throughput. You will work across the inference stack, identifying bottlenecks and developing optimizations, collaborating with modeling and systems teams to ship meaningful improvements. Opportunities exist to build expertise in advanced performance techniques like GPU/CUDA optimizations and model execution strategies for large-scale architectures.

Mistral AI

Mistral AI is seeking a Senior AI Deployment Strategist to bridge the gap between AI vision and execution for enterprise clients. This role involves acting as a trusted advisor to C-suite executives, architecting AI solutions, and leading their deployment from concept to full-scale adoption. You will diagnose business challenges, design AI-powered solutions, and ensure measurable business outcomes are achieved. The position requires a blend of strategic advisory, hands-on deployment leadership, executive presence, technical credibility, and commercial acumen, spanning both presales and postsales phases.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join its customer-facing technical organization. This role involves facilitating customer adoption of Mistral AI products, addressing complex technical challenges, and deploying cutting-edge AI solutions that deliver measurable business impact. You will bridge the gap between AI research and real-world enterprise applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's technological vision. The team operates with a focus on outputs, direct communication, and a low-ego, high-standards environment, embracing an unstructured setting.

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of their AI solutions, working closely with customers from strategic vision to production implementation. This role bridges business strategy, AI innovation, and hands-on deployment to ensure customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This role is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We are seeking an exceptional technical leader to build and scale our post-training and evaluation capabilities within the Applied AI team. This role involves taking our open-weight models and adapting them for specific customer domains, tasks, and constraints. You will own the end-to-end technical strategy for model customization, from synthetic data generation and reward modeling through training and production deployment, working directly with customers and research teams.

Mistral AI

Mistral AI is a pioneering company dedicated to democratizing AI through high-performance, optimized, open-source models and cutting-edge products. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments, offering solutions like 'le Chat' for enhanced productivity. We are a dynamic, collaborative, and diverse team passionate about AI's potential to transform society, with a global presence across France, USA, UK, Germany, and Singapore. We seek creative, low-ego, and team-spirited individuals to join us in shaping the future of AI and making a meaningful impact.

Cohere

Cohere is seeking a Senior Research Scientist focused on Model Evaluation to join their team. This role is crucial for advancing AI capabilities by developing next-generation evaluation methods and infrastructure to accurately measure LLM progress. You will be responsible for creating new evaluation benchmarks, translating model feedback into reliable evaluations, and conducting research to push the state-of-the-art in LLM evaluation techniques. The ideal candidate is passionate about rigorously measuring AI capabilities and ensuring these measurements align with desired outcomes.

Cartesia is seeking a Researcher for their Post-Training team to develop methods and systems that make multimodal models adaptive, aligned, and grounded in human intent. This role involves working at the intersection of machine learning research, alignment, and infrastructure, focusing on preference optimization, model evaluation, and feedback-driven learning. You will explore how feedback signals can guide models to reason more effectively across modalities and build the infrastructure to measure and improve these behaviors at scale. Your work will directly influence how Cartesia's foundation models learn, improve, and connect with people.

The New Horizons Evaluations team is reimagining how we measure progress in interactive machine intelligence. As Evaluations Lead, you will design evaluation frameworks that capture not just what models know — but how they reason, remember, and interact over time. You’ll work at the intersection of research, product, and infrastructure to develop metrics, systems, and studies that define what “intelligence” means in the next generation of AI. This role is ideal for someone who combines scientific rigor with technical execution, and who’s deeply curious about how people use — and want to use — intelligent systems. Your work will shape how Cartesia builds and evaluates frontier models, ensuring that progress isn’t measured solely by static benchmarks, but by deeper qualities like understanding, naturalness, and adaptability in real-world interaction.

Mistral AI

Mistral is on a mission to democratize AI by producing frontier intelligence for everyone, developed in the open and built by a global team. We are a dynamic, collaborative group passionate about AI's potential to transform society, with a diverse workforce distributed across Europe, the USA, and Asia. We focus on developing models for enterprise and consumers that can change business operations and integrate into daily lives, while also releasing frontier models open-source. We are hiring experts in large language model training and distributed systems to shape the future of AI.