LLM Jobs

Together AI

Together AI is building the Inference Platform to deliver advanced generative AI models, powering multi-tenant serverless workloads and dedicated endpoints. This platform enables developers, enterprises, and researchers to utilize the latest LLMs and multimodal models at scale. The role focuses on optimizing latency and maximizing the utilization of tens of thousands of GPUs. You will collaborate directly with research teams to productionize frontier models and engage with the open-source community, contributing to and leveraging projects like SGLang and vLLM to enhance inference performance and efficiency.

$200k - $290k

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

Perplexity is looking for an experienced Machine Learning Research Engineer to contribute to the development of next-generation advanced search technologies, with a particular emphasis on retrieval and ranking. This role involves architecting and building core components of the search platform and model stack, and deploying models from boosting algorithms to LLMs in a scalable and performant manner. The engineer will also be responsible for building and optimizing RAG pipelines for grounding and answer generation, and collaborating with cross-functional teams to ensure high-quality delivery.

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

NVIDIA's Silicon Co-Design Group (SCG) is seeking a Senior Memory Systems Engineer to lead the integration of HBM and LPDDR in sophisticated SoCs. This role spans the entire product development lifecycle, from architecture definition to silicon bringup and release, focusing on resolving complex system-level memory challenges. The engineer will be instrumental in ensuring memory subsystems meet performance, power, and reliability targets for next-generation products.

$196k - $311k

Salesforce is seeking a Senior / Lead Software Engineer to join their Product Team. In this role, you will translate ambiguous product challenges into high-quality software, collaborating closely with product and design teams to define product direction, development, and success metrics. You will work on core customer workflows, from the user interface to the backend services and data models. A key aspect of this role involves integrating emerging AI capabilities into practical and reliable product experiences, ensuring these features are observable, testable, and maintainable. This position is ideal for someone who thrives on moving quickly from concept to implementation and iterating based on user feedback.

$149k - $314k

WRITER is seeking a Software Engineer, Generative AI to build the secure, scalable foundation for enterprise-grade generative AI solutions. This role is for an engineering generalist with a strong focus on generative AI and a systems-level approach to architecture. You will be responsible for designing and developing services, integrating AI models and agentic workflows, and owning platform component architecture from proposal to deployment. The work directly impacts enterprise-wide transformation, driving significant revenue increases and cost reductions for clients. This is a hybrid role based in San Francisco, New York City, or London.

$132k - $240k

At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need.

$155k - $240k

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

WRITER is seeking a Deployment Engineer to join their team and help enterprises orchestrate AI-powered work. In this role, you will partner directly with leading enterprise customers to understand their unique business challenges and architect AI-powered solutions using WRITER's platform and enterprise-grade LLMs. You will transform complex needs into tangible, high-impact applications, driving business results and shaping the future of work. This is a critical role that directly impacts customer success and product evolution, contributing significantly to WRITER's mission of expanding human capacity through superintelligence.

$146k - $204k

As a deployment engineer at WRITER, you will be at the forefront of expanding human capacity through superintelligence. This role involves partnering directly with enterprise customers to understand their unique business challenges and architect AI-powered solutions using WRITER's platform and enterprise-grade LLMs. You will transform complex needs into tangible, high-impact applications, driving significant business results and shaping the future of work for large companies. This is a critical role that directly impacts customer success and product evolution, contributing to WRITER's mission of pushing the boundaries of generative AI.

$146k - $204k

WRITER is seeking a Deployment Engineer to join their team and help expand human capacity through superintelligence. In this role, you will partner directly with enterprise customers to understand their unique business challenges and architect AI-powered solutions using WRITER's platform and enterprise-grade LLMs. You will transform complex needs into high-impact applications, driving tangible business results and shaping the future of work. This is a critical role that directly impacts customer success and product evolution, contributing significantly to WRITER's mission.

$132k - $184k

Crusoe is seeking a Senior Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing AI infrastructure. This role focuses on making large language models run faster, cheaper, and more reliably in production by owning the inference stack end-to-end. You will be responsible for profiling performance, implementing modern optimization techniques, and diving deep into serving code. The work is applied, directly impacting customer deployments, and involves tailoring solutions to specific models, traffic patterns, latency targets, and cost constraints. You will collaborate with customer engineering teams, guide workloads from proof of concept to production, and ensure engineered gains are realized by users. This is a hands-on engineering role requiring coding, profiling, and low-level optimization, with a customer-facing component and elements of product and technical solutions work.

$250k - $300k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Vision team is seeking a research engineer to focus on visual and spatial reasoning as core capabilities for LLMs. This role involves owning the end-to-end process of creating training data and RL environments for visual knowledge work. You will identify tasks, build evaluations, design rewards, and scale data, combining applied research with hands-on data work. Collaboration with external vendors, pretraining, RL, and product teams is essential to ensure the environments built translate into real-world knowledge work capabilities.

$350k - $850k

Thinking Machines is building AI that extends human will and judgment, focusing on training frontier models, developing tools for model customization, and crafting interfaces for human-AI communication. This role is crucial for shaping the fundamental reasoning capabilities of our models by owning the late-stage training process. It involves a blend of fundamental research and practical engineering, making it ideal for individuals comfortable working at the intersection of pre-training and post-training.

$350k - $475k

OpenAI

The Monetization team is a new cross-functional group focused on building foundational systems to responsibly scale access to intelligence. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI's long-term innovation. This role operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment, partnering closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. As a Research Engineer, you will contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions and making AI technology accessible and impactful.

$381k - $555k