LLM Jobs

The CRAFT (Capabilities, Routing, Adaptation & Fine-Tuning) team at CoreWeave is focused on developing tools that enable AI agents to learn from experience, a crucial step towards autonomous long-task execution. The team has already released innovative projects like ART for RL, RULER for reward functions, and Serverless RL for infrastructure management. They are now tackling remaining challenges in agent training, such as reducing human labor in environment creation and improving data efficiency. This role offers a significant opportunity to contribute to hard-tech advancements in a rapidly growing market, with the potential to shape the future of self-improving AI agents.

$182k - $242k

As an AI Engineer at CoreWeave, you will design, build, and operate systems that engineers rely on during real customer incidents. This role involves defining the balance between deterministic and AI systems, owning agent logic, retrieval mechanisms, safeguards against bad information, and performance measurement. You will have full ownership of your services from development through production, working closely with the engineers who will use your creations.

$143k - $210k

Gong is seeking an engineer to build the foundational systems for its Talent Acquisition team. This role is a 0-to-1 build, focused on creating automations, integrations, and AI-powered workflows to connect disparate systems like HRIS, ATS, and interview intelligence tools. The goal is to provide recruiters and hiring managers with a unified view of candidate and employee data, enabling faster, data-driven decisions without manual intervention. You will be responsible for shipping functional systems that improve efficiency and provide actionable insights, rather than focusing on traditional recruiting tasks.

$111k - $175k

Liquid AI, a company spun out of MIT CSAIL, is developing general-purpose AI systems designed for efficient deployment across various targets, from data centers to on-device hardware. They focus on low latency, minimal memory usage, privacy, and reliability, partnering with enterprises in consumer electronics, automotive, life sciences, and financial services. The Pre-Training Data team is central to this mission, responsible for sourcing, filtering, synthesizing, and mixing data that will be used to train Liquid Foundation Models. As public data sources become less effective, the quality of models increasingly relies on purpose-built datasets and understanding the impact of data changes on model performance. This role treats data as a research problem, requiring close collaboration with pre-training researchers to run experiments, answer data-related questions, and build pipelines that feed into training runs.

Accenture

As an AI / ML Engineer, you will be responsible for designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. This role involves managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. You will integrate generative AI models into various projects, potentially including deep learning frameworks, neural network architectures, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is essential, alongside continuous evaluation and enhancement of AI-driven solutions to meet evolving requirements.

Accenture

As an AI / ML Engineer, you will design and build advanced applications and systems that leverage artificial intelligence technologies and cloud-based services. This role involves integrating generative AI models into solutions, ensuring applications are production-ready and scalable. You will develop pipelines for deployment on cloud or on-premises environments, collaborate with cross-functional teams, and explore innovative approaches such as deep learning, neural networks, chatbots, and image processing to solve complex challenges.

Accenture

As an AI / ML Engineer, you will be responsible for designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. This role involves managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. You will integrate generative AI models into various projects, potentially including deep learning frameworks, neural network architectures, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is essential, alongside continuous evaluation and enhancement of AI-driven solutions to meet evolving requirements.

Accenture

As an AI / ML Engineer, you will be responsible for designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. This role involves managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. You will integrate generative AI models into various projects, potentially including deep learning frameworks, neural network architectures, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is essential, alongside continuous evaluation and enhancement of AI-driven solutions to meet evolving requirements.

Accenture

As a LLM Model Developer, you will engage in the intricate process of fine-tuning Large Language Models, focusing on instruction fine-tuning and domain adaptation. Your typical day will involve collaborating with cross-functional teams to enhance model relevance and performance in specific contexts, ensuring that the models meet the diverse needs of various applications. You will analyze model outputs, iterate on training processes, and implement strategies to optimize performance, all while maintaining a keen awareness of the latest advancements in the field of artificial intelligence and machine learning.

Accenture

As an LLM Model Developer, your day involves refining and adapting large language models to better suit specific domains and instructions. You will focus on enhancing the model's ability to understand and generate contextually relevant responses, ensuring that the outputs align closely with the intended use cases. This role requires continuous experimentation and adjustment to improve model accuracy and applicability, working closely with various teams to integrate these models effectively into broader systems and applications.

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is an opportunity to join a fast-scaling company at an inflection point, defining a new category in real-time. The team operates with intensity, ownership, and a commitment to excellence, guided by values of Decisiveness, Simplicity, and Job's Not Finished. We are looking for driven individuals to do the best work of their careers alongside like-minded colleagues.

$230k - $340k

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is an opportunity to join a fast-scaling company at an inflection point, defining a new category in real-time. The team operates with intensity, ownership, and a commitment to excellence, guided by values of Decisiveness, Simplicity, and Job's Not Finished. We are looking for driven individuals to do the best work of their careers alongside like-minded colleagues.

$230k - $340k

Harvey is transforming legal and professional services by combining advanced agentic AI, an enterprise platform, and deep domain expertise. This role offers a unique opportunity to contribute to a rapidly scaling company at a pivotal moment, defining a new category in real-time. The team operates with intensity, ownership, and a commitment to excellence, driven by values of decisiveness, simplicity, and continuous improvement. If you are motivated to do your best work alongside driven individuals, Harvey is the place to build the future of professional services.

$230k - $340k

Harvey is transforming legal and professional services by combining advanced agentic AI, an enterprise platform, and deep domain expertise. This role offers a unique opportunity to contribute to a rapidly scaling company at a pivotal moment, defining a new category in real-time. The team operates with intensity, ownership, and a commitment to excellence, driven by values of decisiveness, simplicity, and continuous improvement. If you are motivated to do your best work alongside driven individuals, Harvey is the place to build the future of professional services.

$230k - $340k

Snorkel AI is seeking an early member for its ML & Research Engineering team to help build the data and environments behind high-performing frontier and agentic AI. You will be responsible for making the process of generating and evaluating frontier AI data faster, cheaper, and more rigorous using ML and AI. This role involves studying data generation and evaluation, forming and validating hypotheses with production data, and shipping scalable solutions. You will play a key part in shaping the direction, standards, and growth of the discipline.

$208k - $315k

Snorkel AI is seeking a Research Scientist to advance the creation of high-quality data and environments for AI agents. You will build and optimize pipelines that integrate real-world data, automated generation, and human expert input. Collaborating with domain experts, academic partners, customers, and internal teams, you will scale these pipelines to address frontier model performance gaps and enhance data and environment diversity. Your work will empower human knowledge and judgment, enabling experts to refine data and agentic environments, solidifying Snorkel's position as a leader in frontier data solutions. This role is perfect for individuals passionate about advancing frontier AI through data and environment creation, and who enjoy translating research into scalable, reusable systems.

$200k - $375k

Snorkel AI is seeking a Research Scientist to bridge the gap between cutting-edge research and real-world AI systems. This hands-on role involves prototyping, building, and deploying innovative AI solutions, translating research breakthroughs into scalable, practical applications. The company operates in a fast-paced, high-impact environment, seeking individuals who thrive on rapid iteration, solving open-ended challenges, and driving innovation from research into production.

$200k - $375k

Snorkel AI is seeking a Manager, Forward Deployed Engineering to establish and lead the Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization. This role is responsible for the technical execution of DaaS delivery, managing the systems, workflows, and quality frameworks for large-scale dataset production. As a player-coach, you will define strategy and architecture while remaining hands-on with implementation, working at the intersection of data engineering, ML engineering, and production operations to enhance technical delivery capabilities.

$200k - $320k

Snorkel AI is seeking Forward Deployed Researchers to partner with frontier AI labs on challenging data problems. This customer-facing role requires deep technical and research expertise to help design complex data and environments that enhance frontier model performance. You will act as a thought partner, working at the intersection of research, technical strategy, and customer collaboration. Your responsibilities will include scoping training data needs, designing RL environments, developing evaluation frameworks, analyzing model behavior, and translating customer objectives into technical plans.

$160k - $400k

Snorkel AI is seeking a Forward Deployed Engineer specializing in Computer Use Agents (CUA) to collaborate with leading AI organizations on their critical agentic AI projects. This role involves leading the technical execution of complex customer engagements focused on agents that interact with computers, browsers, and software to accomplish multi-step tasks. You will translate challenging product and model issues into effective task environments, datasets, and evaluation strategies to enhance agent reliability and overall performance. The position spans the entire delivery lifecycle, from initial technical discovery and solution design to implementation, evaluation, and production deployment. Additionally, you will identify common patterns across projects to develop reusable capabilities, technical standards, and product enhancements.

$180k - $320k