Embeddings Jobs

We are seeking a Lead Engineer, AI Agent Voice Experience to develop the next generation of AI-powered voice systems for contact centers. This role involves working at the intersection of speech, language, and real-time production systems to enhance how AI listens, understands, reasons, empathizes, and responds in live customer conversations. You will be responsible for developing and improving end-to-end machine learning systems for voice experiences, including automatic speech recognition, turn detection, agentic workflows, voice evaluation, text-to-speech, speech-to-speech models, and production optimization. Collaboration with researchers, product managers, designers, and engineers will be key to translating model improvements into measurable business impact. This position is ideal for individuals passionate about both model quality and production realities, focusing on rigorous evaluation, failure analysis, latency and robustness improvements, and shipping reliable, scalable real-time voice systems.

$205k - $270k

Anthropic

Anthropic is seeking Software Engineers to join the Memory & Search team, responsible for how Claude remembers users and finds information across Claude.ai, Cowork, and Claude Code. This role involves both user-facing experiences, such as how memory is displayed and edited, and the underlying infrastructure for memory services, indexing, retrieval, and vector search. The team has recently transitioned memory to a dynamic, editable system unified across products, and improved search functionality significantly. The focus is now on developing compelling product features that leverage memory and search, requiring engineers with experience in shipping user-facing products at scale, a strong sense for product quality, and expertise in building agentic systems where models, tools, and user interfaces collaborate. You will drive product experiments, analyze usage, and contribute to the team's product-centric approach. This role also involves close collaboration with product, design, privacy, legal, and safeguards teams to ensure features meet privacy and enterprise requirements.

$405k - $485k

Salesforce is seeking a technical leader for its AI Core team to build durable, high-quality systems that address complex AI challenges. This role involves developing retrieval systems and agent infrastructure, enabling AI agents to effectively find, trust, and utilize knowledge. You will also create developer tooling to help engineers across the company rapidly and safely deploy production agents. The position offers end-to-end ownership, from scoping and implementation to deployment and iterative improvement, within a high-ownership, high-velocity environment focused on AI and product development.

$173k - $260k

Salesforce is seeking a Software Engineering SMTS for the Brain Team, focusing on the intelligence layer behind their AI CRM product, Piper. This role involves building, maintaining, and upgrading AI agents that qualify leads and book meetings. You will work on system prompts, model configuration, context layers, evaluations, and the underlying harness that powers Piper. The position offers a high-ownership, high-velocity environment where engineers ship customer-facing AI products at scale, with end-to-end ownership from idea to production. You will collaborate with product and AI platform teams to develop features, enhance customer experiences, and build evaluation systems to ensure agent performance and business outcomes.

$149k - $224k

NVIDIA Cloud Functions is seeking a motivated AI/ML Engineer with expertise in AI platform engineering at scale. The team develops and manages a serverless deployment platform designed to enable and scale AI inferencing workloads. This platform utilizes globally distributed orchestration of workloads on Kubernetes clusters backed by GPUs, operating in a cloud-agnostic manner. The role involves working with a team of innovative engineers to deliver a top-tier product for both external clients and internal NVIDIA teams, contributing to the forefront of cloud engineering paradigms for AI at scale.

$152k - $288k

Databricks

Databricks is seeking a Senior Engineering Manager for Search to lead the development and scaling of their next-generation Search product. This role is critical in building and evolving a highly performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. The manager will drive innovation across Vector Search, Keyword Search, and Search Quality, and will be responsible for shaping the long-term vision, mentoring engineers, and collaborating across teams to expand the impact of Search at Databricks.

$222k - $300k

Databricks

Databricks is seeking a Staff Engineer for AI Search to play a critical role in building and scaling their next-generation Search product, encompassing Vector Search, Keyword Search, and Search Quality. The role involves driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, the engineer will help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts to expand the technical and business impact of Search at Databricks.

$166k - $225k

As an engineer on the Data Team, you will operate as a technical leader on the foundational layer of the platform. This team owns Qualified's data end-to-end, including leads and accounts data models, ETL pipelines, Data 360, Salesforce sync, analytics and insights, data integrations, and Data APIs. Every product area and AI agent depends on this layer being correct, fresh, and fast. This is a newer team with significant greenfield opportunities, where you will shape the architecture of core pipelines and data models, set patterns for other teams, and transform inherited systems into a coherent platform. You will also directly contribute to the intelligence of AI agents by ensuring the data they rely on is accurate and flows seamlessly between systems.

$173k - $260k

Mem0 is building the memory layer for AI agents, enabling them to remember conversations, learn from interactions, and build context over time. We are a Y Combinator-backed company with significant funding, powering millions of AI interactions for enterprise customers and an open-source community. This full-time, onsite role in San Francisco, CA, offers a unique opportunity to own the AI product surface of the Mem0 Platform. You will be responsible for the end-to-end frontend development, setting the visual and interaction standards for our dashboard, playground, and documentation. Working directly with the CTO, research, and customers, you will translate complex memory problems into intuitive user interfaces, shipping AI products to real users.

$150k - $250k

Code Metal is seeking a Senior Software Engineer for its AI Platform team. This role involves designing, building, and operating the foundational AI enablement stack that powers the company's AI-driven code solutions. You will contribute to critical components such as GPU inference serving, model gateways, agent harnesses, context engineering, observability, and AI experimentation management. While this is an internal platform, it is built to product standards. The position offers the opportunity to eventually own a specific area, like model serving or agentic infrastructure, while also contributing broadly across the stack. The role requires a blend of strong software engineering skills with solid data science and AI research fundamentals, including occasional experimental work to inform platform decisions.

$170k - $210k

Anthropic

Anthropic's Environments organization is responsible for building and maintaining the infrastructure that enhances Claude's capabilities through reinforcement learning. This includes developing frameworks for researchers to build environments and the underlying infrastructure for running them, with a core mission to productionize research. The role involves embedding with research teams to understand their workflows and designing frameworks and APIs that accelerate their progress, ensuring these systems are understandable, ownable, and maintainable. A significant part of the role also includes ensuring the health, maintainability, monitoring, and ease of triage for production RL runs. The ideal candidate will possess deep Python expertise, a strong sense of API and framework design, and an intuitive understanding of complex system failures, particularly silent ones. Experience with stateful distributed systems like workflow engines or actor frameworks is a plus. The role requires comfort in navigating and abstracting complex research codebases, incrementally improving them while research continues, and leveraging AI tools for development with a focus on verification.

$405k - $605k

ClickHouse is a rapidly growing cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team is responsible for building and operating the company's AI and machine learning products end-to-end, including the Agentic Data Stack, AI Functions, and in-console copilot. We are seeking experienced software engineers to design, build, and operate these cutting-edge AI products, making ClickHouse the platform of choice for agents and data scientists.

$150k - $238k

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to transform customer service and business growth. We are an in-person company based in San Francisco with a global presence. Our culture is built on values of Trust, Customer Obsession, Craftsmanship, Intensity, and balancing Family. The co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading tech companies like Salesforce, Facebook, and Google, with Bret currently serving as Board Chair of OpenAI.

$180k - $390k

Salesforce is seeking a highly technical and hands-on Informatica MDM Technical Architect to lead the design, modernization, and delivery of enterprise-wide Master Data Management solutions. This role requires a blend of strategic thinking and tactical execution, acting as a trusted advisor to customers. The ideal candidate will have deep expertise in the Informatica Intelligent Data Management Cloud (IDMC) platform, experience migrating legacy systems to the cloud, and a passion for embedding data governance into enterprise data estates. You will be responsible for architecting and configuring MDM SaaS products, leading modernization initiatives, and integrating MDM with other systems.

$149k - $224k

Blissway is a startup focused on simplifying toll collection and improving highway safety through deep tech, AI/ML, hardware, SaaS, and IoT. We have established a significant technological lead in the global tolling industry and operate with a lean, growing team. This role is for an engineer who is passionate about taking machine learning models from development to reliable production environments. You will be responsible for the infrastructure, deployment, and monitoring that ensures models are accurate and performant in real-world applications, processing millions of images daily.

$150k - $195k

Code Metal is seeking a Staff AI Platform Engineer to architect and build the foundational AI enablement stack that internal engineering teams rely on. This role involves designing and operating production systems for GPU inference serving, model gateways, agent harnesses, context management, and observability. While primarily an engineering role focused on building and operating production systems, it also requires solid data science and AI research fundamentals to work closely with the AI Research team and conduct experiments when necessary. The platform is built to product standards, ensuring reliability and scalability for AI-driven code transpilation, modernization, optimization, modeling, and simulation solutions.

$205k - $250k

We are seeking a self-directed, visionary technical leader to serve as a Lead Software Engineer within the DET IT Finance Engineering team. This role sits at the intersection of enterprise finance systems, integration engineering, AI-powered tooling, and cloud platforms. You will set the technical direction for Workday Finance and MuleSoft integration solutions, champion AI adoption across the engineering lifecycle, and bring cloud-native thinking (AWS/GCP) to how we design, operate, and evolve our platforms. This is a unique opportunity to make a meaningful, high-impact contribution at scale — directly influencing the architecture, delivery, and long-term evolution of enterprise finance systems that power Salesforce globally.

$173k - $260k

Ironclad is building AI solutions on a massive scale, focusing on the critical domain of enterprise contracts. The Intelligence Platform team specifically owns Agent Assistant, Conversational Search, and Content Understanding, which are core AI capabilities enabling customers and AI agents to effectively interact with contract data. This role involves owning the architecture that integrates Large Language Models (LLMs) with retrieval systems to address complex questions about customer contracts. You will be instrumental in setting technical direction, partnering with product and science leaders, and driving improvements in search quality through rigorous evaluation.

$188k - $270k

Sourcegraph is building AI tools to address challenges in the software industry, especially as codebases grow and agentic development becomes prevalent. The Code Understanding team focuses on areas like Deep Search, Query Assist, and Smart Hovers, which are powered by agent engineering. This role is for a staff-level technical leader responsible for the direction of models, evaluations, and agentic systems within the Code Understanding team. The goal is to improve product performance, speed, and cost-effectiveness by integrating deterministic systems with AI. This position offers significant agency over technical direction and a direct impact on product development.

Exa is an applied AI lab building a novel search engine. We focus on massive-scale infrastructure for web crawling, training state-of-the-art embedding models, and designing high-performance vector databases. Our goal is to create perfect search over all the world's information, surpassing current capabilities. This role is critical to our search architecture, with flexibility in project assignments based on individual skills and interests. We are seeking a research engineer to tackle the complex challenges of understanding web page content, including parsing, classification, credibility assessment, and misinformation detection, all at a web scale.

$180k - $350k