Embeddings Jobs

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer, Agent to design and deliver production-grade AI agents that are central to Sierra's growth and revenue. You will own the entire Agent Development Life Cycle (ADLC), from pilot to deployment and iteration, establishing best practices along the way. This role involves partnering directly with leaders at large enterprises and cutting-edge startups to understand their challenges and build AI agents that transform their operations at scale. Your work will also directly influence the evolution of Sierra's core platform, surfacing unmet needs and prototyping new tools and features in collaboration with research, product, and platform teams.

We are seeking an IT Engineer to manage the employee technology experience within our New York or London office, while also contributing to the scaling of Cognition's global IT operations. This role is the primary IT point of contact for the office, ensuring employees have secure and reliable technology and receive prompt support. The position also involves enhancing IT operations through the development of durable tooling, automation, and AI-enabled workflows to streamline recurring tasks. Ideal candidates will possess in-depth knowledge in two to three IT disciplines and a desire to explore new areas.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences using AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer, Agent to design and deliver production-grade AI agents that are central to Sierra's growth. You will own the Agent Development Life Cycle (ADLC) from pilot to iteration, building, tuning, and evolving AI agents in production environments. This role involves partnering directly with large enterprises and cutting-edge startups to understand their business challenges and build AI agents that transform their operations. Your work will also influence the evolution of Sierra's core platform, surfacing unmet needs and prototyping new tools and features in collaboration with research, product, and platform teams.

As a Software Engineer on the AI Infrastructure team, you will help design the core systems that power Fireworks AI’s generative AI platform. You will build infrastructure and tools that ensure the reliability, performance, quality, and availability of our AI system. Your mission is to make Fireworks AI the most reliable and user-friendly generative AI platform in the world. You will partner closely with our cloud infrastructure, product, and performance teams to deliver infrastructure that bridges the gap between our customers and the ultra-performant proprietary Fireworks inference engine.

Fireworks is seeking a Member of Technical Staff, Evals & Post-Training Product to define how developers improve models on the Fireworks platform. This role combines scalable system design, deep data science, and model quality. You will build the infrastructure and workflows connecting evaluation and post-training, taking our evaluation setup to the next stage by improving programmatic access and scale. You will work across backend systems, sandbox infrastructure, and user-facing surfaces to simplify the authoring of evaluations, understanding of results, and rapid iteration.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family, which shape our culture and actions.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family, which shape our culture and actions.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family, which shape our culture and actions.

Baseten is seeking a GPU Kernel Engineer to join our team at the forefront of AI acceleration. In this role, you will craft the foundational code that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You will work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.

Hebbia is seeking an Applied Research Engineer to bridge the gap between research, industry, and application, shaping the future of our core natural language processing systems. This role is pivotal in enabling agentic capabilities across the Hebbia product suite. You will own experiments and proof-of-concepts focused on combining the latest research findings with high-value customer problems. Leveraging deep relationships with foundation model providers, you will partner to beta test models, experiment with new features, and develop guidance on relative model strengths. The ideal candidate excels at both running experiments with novel LLM techniques and building production-grade, LLM-enabled software systems, embedding directly within the software development lifecycle.

$160k - $300k

OpenAI

We are seeking a researcher focused on embedding retrieval efforts to join our Foundations Research team. This team works on high-risk, high-reward ideas that could shape the future of AI, focusing on advancing the science and data for frontier models. You will collaborate with world-class research scientists and engineers to develop foundational technology enabling models to retrieve and condition on the right information at the right time. This includes designing new embedding training objectives, scalable vector store architectures, and dynamic indexing methods. Your work will support retrieval across many OpenAI products and internal research efforts, with opportunities for scientific publication and deep technical impact.

Crusoe is seeking a Staff Product Security Engineer with deep AI/ML security expertise to enhance the company's security posture across applications, infrastructure, and distributed AI systems. This is a highly technical role focused on advanced penetration testing, AI/ML attack surface research, and developing secure-by-design guardrails for engineering teams. The role operates at the intersection of offensive security, AI systems, and production engineering, with end-to-end ownership of security outcomes and influence over system design across the organization.

$250k - $285k

As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.

Fireworks is seeking a Software Engineer focused on Performance Optimization to enhance the speed and efficiency of their AI infrastructure. This role involves optimizing performance across all levels of the technology stack, from low-level GPU kernels to large-scale distributed systems. The primary focus will be on maximizing the performance of demanding workloads such as large language models (LLMs), vision-language models (VLMs), and advanced video models. You will collaborate with research, infrastructure, and systems teams to identify and resolve performance bottlenecks, implement advanced optimizations, and scale AI systems for production use cases, directly influencing the speed, scalability, and cost-effectiveness of cutting-edge generative AI models.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences using AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family.

OpenAI

The Engineering Acceleration team designs, builds, and maintains the foundational systems that engineers use to build ChatGPT and the API. This is a fast-growing team where you will have the opportunity to own and define the strategy, vision, and plan for increasing developer productivity. You will drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and increase the quality of output. You will also use our latest AI tools to re-think how we can be the most productive team in the industry, working closely with various teams within OpenAI to understand their workflows, challenges, and needs.

Sierra is building a platform to enable companies to create better customer experiences using AI. We partner with industry leaders and are primarily an in-person company based in San Francisco. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google. We are looking for a Software Engineer to design, build, and ship production-grade AI agents that are central to Sierra's growth. You will own the entire Agent Development Life Cycle (ADLC), from pilot to deployment and iteration, setting best practices along the way. This role involves partnering directly with large enterprises and cutting-edge startups to understand their challenges and build AI agents that transform their operations at scale. Your work will also directly influence the evolution of Sierra's core platform by surfacing unmet needs and prototyping new tools and features.

Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are seeking a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application.