NLP Jobs

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 - Multilingual Data, you will play a crucial role in designing and operating large-scale multilingual data pipelines, ensuring the quality and efficiency of our data for advanced language model development. This role involves leading research projects, collaborating on significant initiatives, and driving measurable improvements in multilingual capabilities.

Cohere

Cohere is seeking a creative, high-performing go-to-market talent partner to join our expanding Talent Team. This is an exciting opportunity to be in the early stages of building our Talent Acquisition function and to take on new challenges. We are looking for individuals who are resilient, collaborative, influential, and lifelong learners to help us grow our GTM team globally. If you are passionate about AI and want to contribute to the widespread adoption of AI, we encourage you to apply.

Abridge

Abridge is seeking a Staff IT Engineer to lead efficiency and scale across its corporate IT infrastructure and enterprise ecosystem. This role involves designing, building, and maintaining automation solutions to streamline processes, enhance security, and improve the employee experience. The ideal candidate will possess deep engineering expertise, an IT product mindset for automation, and the ability to mentor junior team members. You will work closely with IT and Security leadership, architecting and enforcing automation standards within a HIPAA-compliant, SOC 2-audited environment.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society. As a Research Engineer on the Alignment Science team in London, you will design and execute machine learning experiments to understand and steer the behavior of advanced AI systems. You will focus on AI safety, particularly risks from future human-level AI systems, collaborating with teams like Interpretability and Frontier Red Team. The role involves exploratory research in areas such as AI Control and Alignment Stress-testing, aiming to make AI helpful, honest, and harmless.

Mercor is seeking a Research Scientist to lead the design of the next generation of APEX benchmarks and the expert-built datasets that support them. APEX benchmarks measure the real-world economic impact of frontier AI models on professional work, with current benchmarks covering areas like investment banking, law, consulting, medicine, accounting, and software engineering. This role is highly visible, sitting at the intersection of research, company strategy, and go-to-market efforts. You will be responsible for identifying future measurement areas, designing benchmarks and scoring systems, collaborating with partners to build them, and working cross-functionally to scale production. You will also serve as a credible external technical voice, engaging with labs, partners, and the research community. This is an opportunity to build new methodologies, tooling, and publishing practices in a fast-paced, ambitious environment.

Cohere

Cohere is seeking a founding Solutions Architect for the Nordics region to drive business growth in both the Nordics and wider Europe. This role sits at the intersection of Forward Deployed Engineering and AI transformation, requiring individuals who are technical experts, trusted advisors, product evangelists, and thought leaders in applied AI. You will develop a deep understanding of customer challenges, map them to Cohere's AI solutions, and own the technical relationship with stakeholders, ultimately increasing product adoption and gathering feedback to shape future product development. The role demands a strategic thinker and builder who can lead the design and deployment of customer pilots, translate business objectives into technical solutions, and act as a liaison between customers and the product team.

Glean is seeking an AI Data Analyst to help power the human evaluation system behind Glean’s AI product quality. This role sits at the center of response quality, competitive benchmarking, and release readiness. You will evaluate AI outputs, label and categorize failure modes, maintain high-quality benchmark data, and help ensure the datasets and evaluations we rely on are realistic, consistent, and tied to measurable product quality lift. This is a highly cross-functional role where you will work closely with QA, Engineering, Product, and the evals team to convert ambiguous quality issues into structured data, actionable feedback, and repeatable quality signals.

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.

Cohere

Cohere is seeking a Solutions Architect for the UAE to drive business growth in the UAE and MENA region. This role sits at the intersection of Forward Deployed Engineering and AI transformation, partnering with account executives and leadership to demonstrate the value of Cohere's AI technology. You will develop a deep understanding of customer problems, map them to Cohere solutions, and act as a trusted technical advisor to stakeholders. The position requires a strategic thinker and builder who can lead the design and deployment of customer pilots, translate business objectives into technical solutions, and serve as the voice of the customer to the product team.

Cohere

Cohere is seeking world-class research scientists and research engineers to build cutting-edge multilingual AI. As a Member of Technical Staff on the Multilingual team, you will advance language models that serve the world, pushing the boundaries of natural language processing and contributing to groundbreaking research that will define the next generation of AI. This role is ideal for individuals passionate about languages and AI, with a keen eye for detail and strong technical skills, offering an opportunity to make a global impact.

Mercor is a leading AI data company organizing human intelligence to power the AI economy. We are building the layer between human expertise and frontier models, with millions of domain experts on our platform training AI models. This role focuses on code data, specifically owning the architecture and algorithms for searching across code tasks. The goal is to find similar tasks, route them to the right models, and translate natural language questions into precise retrieval queries. This is a hands-on technical leadership position where you will design and build retrieval systems, manage trade-offs for speed and cost at scale, and continuously evolve these systems as state-of-the-art code models advance. You will also set technical direction, mentor engineers, and raise the bar for engineering practices within the organization.

Fiddler is building trust into AI, especially with the rise of Generative AI and Agents. Our platform helps organizations deploy trustworthy and transparent AI solutions by monitoring, evaluating, securing, analyzing, and improving AI applications. We partner with AI-first organizations to establish responsible AI practices, enabling engineering teams and business stakeholders to understand AI outcomes. Joining Fiddler means making an impact by ensuring AI applications at production scale have operational transparency and security. This is an opportunity to be a trailblazer in the rapidly innovating AI and ML industry, contributing to AI Observability.

$220k - $260k

Glean is seeking a Machine Learning Engineer to enhance the quality of its AI Assistant and autonomous agents. This role focuses on production machine learning, LLM-powered systems, and product engineering, with an emphasis on building, evaluating, and refining assistant experiences to be useful, reliable, and grounded in enterprise workflows. The ideal candidate is driven by shipping production systems rather than pure research and is eager to improve Glean's assistant through stronger signals, tighter feedback loops, and better end-to-end execution quality.

$180k - $205k

Glean is seeking engineers to contribute to building the world's premier search and assistant product for the workplace. Our engineers tackle a variety of systems, including query and document understanding, domain-adapted language models, natural language question-answering, and evaluation. You will collaborate closely with customers to understand their challenges and apply the most effective solutions, whether simple or complex.

$140k - $265k

We are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding. This is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications.

Cartesia is a foundation model company pioneering AI that learns and interacts with the world like humans. Our mission is to architect the next generation of AI, building on our invention of State Space Models (SSMs). We are a well-funded startup with a team of experts in AI research, systems engineering, and product development. As a Technical Sourcer, you will be instrumental in our growth by identifying and engaging top-tier technical talent. This is a hands-on role where you will source, screen, manage candidates, and contribute to strategic hiring initiatives. You will be responsible for developing and executing innovative sourcing strategies across various channels, building robust candidate pipelines, and crafting personalized outreach to attract exceptional individuals.

We are seeking an AI Research Engineer to join our document understanding team, bridging the gap between applied research and robust engineering. In this role, you will focus on vision-language models, document processing, data curation, synthetic data generation, benchmarking, and model training and fine-tuning. The primary objective is to enhance the accuracy, speed, and cost-effectiveness of our document AI systems in production. This position requires a passion for cutting-edge AI research coupled with a strong drive for practical product impact, involving rapid prototyping, rigorous evaluation, and the transition of promising approaches into production systems.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their team and facilitate the adoption of their AI products among customers. This role involves collaborating with clients to address complex technical challenges, from pre-sale to post-implementation, ensuring Mistral's solutions meet and exceed expectations. The engineer will manage daily customer relations, act as a key resource in externalizing research into production settings, and work on state-of-the-art Generative AI applications across various industries. This position offers the opportunity to contribute to a pioneering company shaping the future of AI and make a meaningful impact.

Together AI

The Turbo Research team focuses on making post-training and reinforcement learning for large language models efficient, scalable, and reliable. This work intersects RL algorithms, inference systems, and large-scale experimentation, where inference costs significantly impact training efficiency and the practicality of learning algorithms. As a research intern, you will investigate RL and post-training methods whose performance and scalability are closely tied to inference behavior, co-designing algorithms and systems. Projects aim to enable new experimental regimes, including larger models, longer rollouts, and more complex evaluations, by re-evaluating the interaction between inference, scheduling, and training.

AI research at WRITER focuses on building the scientific foundation for ambitious enterprise AI deployments. As a staff AI research scientist, you will drive a high-impact research agenda centered on large language models, agentic reasoning, and system-level capabilities essential for enterprise-scale AI. This role offers a unique opportunity to advance the field while directly contributing to products used by hundreds of thousands daily. You will work on post-training, planning, multi-step reasoning, and agentic workflows, directly shaping the future of enterprise AI performance and scalability. The role provides resources, infrastructure, and cross-functional support to pursue and implement ambitious ideas rapidly.