NLP Jobs

Commure is building the AI Operating System for healthcare, aiming to transform the industry's administrative burden. Their platform encompasses Ambient AI, Dictation, intelligent Agents, and autonomous Revenue Cycle Management (RCM) on a single AI-native platform integrated with numerous EHRs. The company's impact is significant, serving over 500,000 clinicians and handling billions in annual claims, backed by substantial funding and market recognition. The team operates with a direct connection to clinicians, ensuring immediate impact and a fast-paced, ownership-driven development cycle. This role is for an innovative Full Stack Engineer who can contribute to new solutions, scale features, and elevate engineering practices within a dynamic environment.

$130k - $180k

Together AI

The Agents team focuses on building, aligning, and scaling advanced AI systems capable of handling complex, multi-step tasks and workflows across text and speech, particularly in agentic and scientific domains. This role sits at the intersection of agent capabilities, human-computer interaction, and infrastructure, exploring areas like post-training methods for agentic behavior and evaluation frameworks for open-ended tasks. As a research intern, you will contribute to cutting-edge agentic AI challenges, addressing issues of alignment, reliability, and scalability. Projects may involve developing new training techniques for self-learning and long-horizon reasoning, curating datasets for scientific and agentic tasks, analyzing agentic behavior failure modes, or building scalable agent operation infrastructure.

Together AI

The Agents team investigates how to build, align, and scale frontier AI systems capable of complex, multi-step tasks across text and speech, focusing on agentic and scientific domains. This role sits at the intersection of agent capabilities, human-computer interaction, and infrastructure, exploring areas like post-training methods for agentic behavior and evaluation frameworks for open-ended tasks. As a research intern, you will tackle challenges in alignment, reliability, and scalability, potentially working on new training recipes for self-learning, curating datasets for non-deterministic tasks, studying agentic behavior failure modes, or building large-scale agent operation infrastructure.

Together AI

Together AI's Model Shaping team focuses on tailoring open foundation models for downstream applications, building services that help ML developers select and improve models with domain-specific data. The team also develops efficient model training and evaluation methods, drawing from machine learning, NLP, and ML systems. As a Research Engineer, you will develop a platform for users to customize open-source models with their own data, working across training and inference stacks. You will build and enhance services for Fine-Tuning, Reinforcement Learning, and Evaluation, ensuring a smooth transition from post-training to production serving and optimizing inference engines for RL training. Collaboration with product, research, and engineering teams is key to maintaining API reliability and performance, ultimately contributing to the foundational layer of the open-source AI ecosystem.

$200k - $290k

Together AI

The Model Shaping team at Together AI focuses on tailoring open foundation models for downstream applications, building services that help machine learning developers select and improve models with domain-specific data. We also develop novel methods for efficient model training and evaluation, drawing from machine learning, natural language processing, and ML systems. As a Research Engineer on the Scaling Team, you will translate cutting-edge research in efficient foundation model training into robust, high-performance systems. You will optimize Together's training infrastructure, identify performance bottlenecks, and implement state-of-the-art techniques in production environments. Your work will directly influence the fine-tuning experience for Together's customers. You will integrate newly released open-source models onto the platform, ensuring efficient and reliable training across diverse workloads. Collaborating with Research Scientists, you will build experimental infrastructure to accelerate research and deploy validated ideas at scale.

$200k - $290k

Faire is revolutionizing the wholesale industry by connecting independent retailers with global product discovery through technology, data, and machine learning. As a Senior Applied AI/ML Scientist on the Brand Growth team, you will be instrumental in developing algorithmic solutions to acquire and grow brands on our marketplace. This role involves working with structured and unstructured data to personalize user experiences, enhance growth, and drive business impact. You will collaborate closely with product, engineering, marketing, and sales teams, taking ownership of ML projects from conception to production and measurement.

$211k - $291k

Faire is a technology wholesale platform connecting independent retailers globally. We leverage AI and machine learning to empower local businesses to compete effectively. This role focuses on the Retailer Growth Data team, developing AI/ML systems for paid marketing and top-of-funnel acquisition. Opportunities include optimizing bidding, keyword intelligence, audience targeting, and incrementality estimation. There's a significant chance to explore AI/ML and LLMs for programmatic content creation, reinforcement learning, and landing page optimization to drive growth.

$211k - $291k

WRITER is a company focused on orchestrating AI-powered work for leading enterprises, aiming to expand human capacity through superintelligence. Their platform enables companies to build and deploy AI agents grounded in their data and powered by enterprise-grade LLMs. WRITER is a rapidly growing company in the enterprise generative AI space, seeking talented individuals to join their mission to create a better future of work with AI.

$199k - $325k

As an AI engineer at WRITER, you will be instrumental in shaping how enterprises leverage superintelligence. This role involves building tangible AI solutions that power the future of work for leading global companies. Your contributions will directly influence the performance, scalability, and ethical alignment of our advanced LLMs and AI agents, enabling businesses to achieve unprecedented productivity and innovation through AI grounded in their data.

$198k - $259k

Eudia is seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join their growing team. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems.

Ironclad is building AI solutions at enterprise scale, focusing on one of the most consequential datasets: over 2 billion contracts. This role involves developing agentic solutions for problems that are still being defined in the contract AI space. The team operates with a short feedback loop, rich data, and empowers individuals to shape the product's direction, enabling rapid impact. Ironclad is recognized as an industry leader in Contract Lifecycle Management and is backed by prominent investors.

$180k - $200k

As a Search Engineer at You.com, you will blend deep analytical thinking with practical engineering skills to investigate, develop, and implement novel solutions for our search indexing systems. Your work will focus on advancing the core technology that powers our search engine, ensuring that our index is comprehensive, up-to-date, and optimized for speed and relevance. You will collaborate closely with cross-functional teams to translate complex research into practical, scalable applications. This is a remote position open to candidates based in the United States.

$190k - $260k

AfterQuery is an applied research lab focused on curating data solutions for foundation model development, serving frontier AI labs with the mission of making expertise widely accessible. This is a unique opportunity to join a rapidly growing company at a pivotal moment in AI. We are backed by leading investors and have a strong founding team with experience from top tech and finance companies. We are seeking exceptional undergraduate and masters students for our AI/ML Research Internship program to work on cutting-edge AI projects in advanced reasoning, computer use, and agentic models. Interns will have access to expert networks and specialized datasets, with opportunities to co-author research papers and present at leading AI conferences.

ASAPP is seeking an enterprising, talented, and curious Machine Learning Engineer to join their AI Engineering team. This role will focus on building and evaluating the core intelligence behind agentic AI systems, playing a key part in designing and owning evaluation frameworks that ensure quality, safety, and performance across complex agentic systems. The Lead Machine Learning Engineer will own and grow the evaluation platform that measures quality, safety, and performance across ASAPP's agentic AI systems, ensuring confidence in model and agent changes before they reach customers.

$170k - $190k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their AI and shape its future. This role focuses on designing and operating large-scale multilingual data pipelines, ensuring the quality and effectiveness of data used for training advanced language models. You will contribute to scientific experiments aimed at improving multilingual data efficiency in large language models and develop evaluation sets to identify and address model performance gaps across different languages and domains.

Abundant is building the NVIDIA of training data, recognizing the critical need for scaling data as AI models advance beyond supervised learning to reinforcement learning and learning from experience. The founding team brings extensive experience from leading AI organizations, with a proven track record in deploying deep learning models at scale, training state-of-the-art models, and managing large data pipelines. As a Member of Technical Staff, you will collaborate directly with the founding team to architect the future of model reasoning and intelligence, working at the intersection of research and execution to push the boundaries of AI capabilities.

$120k - $120k

Commure is building the AI Operating System for healthcare, transforming how care is delivered, documented, and financed. Our platform integrates Ambient AI, intelligent Agents, and autonomous RCM processing to address the significant administrative burden in healthcare. We are at the forefront of this transformation, with a rapidly growing user base and significant market confidence, as reflected in our recent funding and industry accolades. Our team values speed, ownership, and direct impact, working closely with clinicians to ensure our technology directly improves patient care.

$180k - $230k

At Suki, we are building technology that automates clinical documentation in real-time using cutting-edge AI, significantly reducing the administrative burden on clinicians. Our platform powers voice-enabled healthcare experiences across various platforms, aiming to make clinicians' lives better. The Machine Learning team is central to this mission, driving innovation and enhancing our AI capabilities. You will leverage your NLP expertise to improve our computational infrastructure, technical approaches, and algorithms. Working directly on the platform, you'll collaborate with cross-functional teams to tackle NLP challenges and scale our services. This role involves managing and curating large datasets, monitoring system performance, and staying abreast of the latest advancements in NLP and Generative AI to maintain our competitive edge.

$225k - $250k

Moveworks is seeking a Machine Learning Engineer to develop cutting-edge ML infrastructure for building and serving LLMs. This role is pivotal in constructing, optimizing, and scaling end-to-end machine learning systems, encompassing distributed training and inference pipelines for large language models, model evaluation and monitoring frameworks, and LLM latency optimization. The frameworks developed will serve as a robust foundation for hundreds of ML and NLP models in production, impacting millions of enterprise employees. You will address challenges in service scalability and core algorithm optimization, working closely with machine learning, data infrastructure, and core skill teams. Your contributions will significantly influence customer AI experiences and the long-term scalability of our core AI product.

Alignerr, Labelbox's human data organization, is seeking a Forward Deployed Research Scientist to join their team. This role sits at the intersection of research science and client delivery, embedding research capability directly into client engagements. Unlike traditional research roles, you will work on multiple client projects simultaneously, operating on short timescales of days to weeks. You will engage with research teams at major AI labs, reason scientifically about data strategy in real time, fine-tune open-weight models to validate data methodology, and collaborate with the Applied Research team on publications. This fast-paced, applied role offers clear ownership and autonomy, with career growth directly tied to your contributions.

$200k - $300k