LLM Jobs

Faire is seeking a Senior Applied AI/ML Scientist to join their Marketplace Quality team. In this role, you will be responsible for developing and implementing algorithmic solutions to ensure the trustworthiness of Faire's marketplace for brands and retailers. This involves matching Faire's catalog against external data, detecting pricing and policy violations, and optimizing actions based on finite resources. You will work with structured and unstructured data, employing techniques like entity resolution, information extraction, multi-modal LLMs, and constrained optimization. The position requires driving projects from conception to production and measurement, in close collaboration with product, engineering, and operations teams.

$211k - $291k

Toast is seeking a Staff Software Engineer to join the Voice AI Team. This role will be instrumental in building and operating the voice platform that powers Toast and developing novel applications on top of it. This is a greenfield opportunity where the platform and its use cases are being defined, and your work will be foundational for years to come. You will take end-to-end ownership of significant projects, including system design, execution, and technical decision-making. Collaboration with product, engineering, and stakeholders across Toast will be key to transforming ambiguous problems into reliable, scalable systems.

$151k - $309k

OpenAI

We are seeking a Machine Learning Engineer to spearhead the technical direction for ML-powered experimentation and insights. This role involves building production systems that leverage privacy-protected data to generate evidence-backed insights and inform decision-making, helping teams identify promising ideas for live testing. This is a comprehensive, end-to-end role where you will work across various domains including ML modeling, retrieval and LLM systems, statistical methods, simulation, data and training pipelines, backend services, and user-facing product experiences. The core challenge lies in ensuring that insights and predictions are not only plausible but also traceable, calibrated, useful, and safe enough to guide real product decisions. You will design systems that explicitly address uncertainty, backtest against historical data, compare predictions with online results, learn from discrepancies, and gracefully abstain when evidence is insufficient, all while maintaining clear review and approval processes as automation advances.

$437k - $485k

Cartesia is pioneering AI architectures that learn and interact with the world like humans. We are seeking a Research Engineer, Data Infrastructure to build the datasets and systems essential for pretraining our foundational models. This role involves developing performant, scalable infrastructure for acquiring, processing, and curating massive datasets, and collaborating closely with research teams to optimize data composition. Your contributions will directly influence the capabilities and quality of our cutting-edge models.

$200k - $350k

Anthropic

Anthropic is dedicated to building reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. This role focuses on Multi-Agent systems, which are increasingly vital for AI deployment, from small subagents within products to large groups tackling complex problems. Training Claude for optimal performance and safety in these large groups is a challenging new frontier in reinforcement learning and a new way to scale compute at test time.

$500k - $850k

Join Tenstorrent’s AI Models team and work at the layer most ML engineers never see: bringing advanced models to life on custom AI hardware. You’ll own real workloads end‑to‑end including porting, tuning, and validating LLMs and vision models on our accelerator, and chasing down every last millisecond and percentage point of accuracy. This role is for people who love the craft of ML engineering and want their work to matter at silicon scale, not just behind another API. This role is hybrid, based in Cyprus. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Assort Health is building a continuous conversation for every patient, powered by an AI agent that remembers context and carries it through their healthcare journey. The company has developed a proprietary dataset of 285 million patient interactions and is experiencing rapid growth, having raised $222 million. As a Research Engineer, you will be responsible for developing industry-leading healthcare AI models and pipelines, taking them from concept to production. You will own significant initiatives to advance the capabilities of AI models and agents in healthcare, ensuring high levels of reliability, efficiency, and precision.

$190k - $240k

The Model Capabilities team at Notion is responsible for maintaining Notion AI's model layer, ensuring it remains at the cutting edge. This involves integrating new frontier models as they become available, guaranteeing reliable and cost-effective inference at scale, and developing new AI capabilities that can be leveraged by other teams within Notion. The role is based in either San Francisco or New York City, with a hybrid work arrangement requiring in-office presence on Mondays, Tuesdays, and Thursdays.

$255k - $300k

This role is for experienced software engineers looking to build AI-powered products. You will own user-facing surfaces end-to-end, from interaction design and frontend development to application logic, APIs, data models, and the underlying search or model calls. The team continuously ships to production, with new engineers often having code in front of users within their first week. You will leverage AI, including agents and coding models, as primary tools to accelerate development and improve product quality, focusing on reliability, latency, and craft. This is a full-stack position that suits individuals who enjoy building and have the autonomy to do so, with a focus on turning ambiguous product ideas into working prototypes and iterating based on usage data and evaluations.

$180k - $270k

Ramp is seeking a Machine Learning Engineer to lead the future of fraud machine learning. In this role, you will build core machine learning models, design data architectures, and set strategic roadmaps to mitigate fraud-related threats while minimizing friction for legitimate users. You will partner closely with product and engineering teams on model design, implementation, execution, and analysis. This is an opportunity to build systems that directly shape how companies move and manage billions.

$200k - $330k

As a Senior Engineering Manager, you will lead an engineering team focused on making large language models run faster, cheaper, and more reliably in production. This role balances team leadership with core systems and performance engineering on demanding models in production, requiring you to stay deeply technical and hands-on with the inference stack end to end. The work is applied, not academic, with optimizations landing in real customer deployments. You will tailor deployments to customer needs, take workloads from proof of concept to production, and ensure performance gains deliver clear business and customer value. This leadership role combines people management, technical direction, and hands-on coding and profiling, with a customer-facing component and elements of product and technical solutions leadership.

$250k - $300k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our Tech, Media & Telecom team builds AI agents for critical moments, such as service disruptions or major product launches, to enhance customer relationships across telecommunications, media, and technology sectors. These agents aim to personalize experiences, optimize plans, drive engagement, and improve customer loyalty.

$180k - $390k

Sierra is seeking a Software Engineer to join its Financial Services team, focusing on building customer-facing AI agents for major brands. This role involves designing, delivering, and iterating on production-grade AI agents that are mission-critical and drive revenue. You will own the Agent Development Life Cycle (ADLC) from pilot to deployment, working directly with enterprise clients and startups to solve complex business challenges. Your work will directly influence the evolution of Sierra's core platform, shaping the future of AI agent development. The team partners closely with financial institutions to transform customer experiences, making the industry more accessible, human, and affordable.

$180k - $390k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our Financial Services team works with systemically important banks, neobanks, and insurers, impacting millions of end customers and billions in economic activity. We build modern tools that address critical customer moments, making the financial industry more accessible, human, and affordable.

$180k - $390k

Arize AI is seeking an AI Education Engineer focused on developer growth to join their product team. This role is part of developer advocacy, connecting the product with the AI Engineer ecosystem. The ideal candidate will have an entrepreneurial mindset and a passion for growing the developer community through code, education, content, and hackathons. You will collaborate with engineers, product managers, and marketing professionals to build the next generation of AI systems, including agents, assistants, and LLM applications.

$100k - $175k

Arize AI is seeking an Applied AI Engineer focused on developer growth to join their product team. This role is ideal for individuals with an entrepreneurial mindset who are passionate about growing the developer community through code, education, content, and hackathons. You will work with a team of engineers, product managers, and marketers experienced in building next-generation AI systems, including agents, assistants, and LLM applications. The position connects product strategy with the AI engineer ecosystem, aiming to empower AI engineers to ship high-performing, reliable agents and applications.

$100k - $175k

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Fullstack Engineering team builds both the highly scalable distributed services that power Arize's ML observability platform and the intuitive frontend applications that bring these capabilities to life, focusing on delivering robust features that help clients interpret, visualize, and monitor their AI and ML models across the entire stack.

$125k - $225k

Arize AI is seeking a Senior AI Product Engineer, Backend to join their core team driving product innovation. This role involves building and optimizing the highly scalable distributed services that power Arize's AI and Agent Engineering observability and evaluation platform. You will work on challenging technical problems, from efficient metric computation across billions of data points to designing next-generation OLAP database architectures and implementing advanced dimensionality reduction techniques. The position offers the opportunity to understand how leading engineering teams develop AI and LLM-powered applications and to build the tools that enable them to succeed.

$125k - $225k

Together AI

Together AI is building the best inference infrastructure for voice applications, powering real-time voice agents and applications with best-in-class latency and reliability for speech-to-text and text-to-speech models. We are seeking a Senior ML Engineer to lead the model serving layer for voice workloads. You will optimize inference engines like TRT-LLM and SGLang to serve models such as Whisper, Parakeet, Orpheus, and Kokoro, focusing on pushing latency and throughput boundaries. This role involves profiling GPU utilization, designing batching strategies for streaming audio, and accelerating the transition of new model architectures from research to production. As a foundational hire on a small, high-impact team, you will address the unique challenges of voice inference, including streaming audio, real-time latency, and tokenization, shaping how Together serves voice models as the industry moves towards end-to-end speech-to-speech systems.

$200k - $260k

Together AI

Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models and ensuring they run efficiently and effectively at scale. You will have the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions and shape the future of AI inference.

$200k - $300k