Embeddings Jobs

The Voyage AI team at MongoDB is building state-of-the-art embedding models and rerankers for efficient unstructured data search and retrieval, crucial for RAG, recommendation systems, and semantic search. This team, comprised of AI researchers from top universities, was recently acquired by MongoDB and is integrating its advanced embedding models with MongoDB's data platform to create powerful end-to-end solutions. We are seeking a Senior Research Scientist to join this dynamic team and contribute to the development of next-generation AI models, tackling complex challenges at the intersection of machine learning research and the practical deployment of large neural networks.

$126k - $248k

The Voyage AI team at MongoDB is building state-of-the-art embedding models and rerankers for accurate and efficient unstructured data search and retrieval, crucial for RAG, recommendation systems, and semantic search. This team, comprised of AI researchers from top universities, was recently acquired by MongoDB and is integrating its advanced embedding models with MongoDB's data platform to create powerful end-to-end solutions. We are seeking a Staff Research Scientist to contribute to the development of next-generation AI models, tackling complex challenges at the intersection of machine learning research and the practical deployment of large neural networks.

$151k - $297k

Qualified, now part of Salesforce, is seeking a Software Engineering, SMTS - Qualified to join their high-ownership, high-velocity environment. The company is building at the frontier of AI + product, developing agentic software and embedding AI directly into their platform. Engineers have end-to-end ownership from idea to production, including scoping, implementation, testing, deployment, monitoring, and iterative improvement. The Product Core team builds foundational product systems for prospect identification, meeting scheduling, data synchronization, workflow execution, and enterprise authentication, enabling customers and partners to extend the product through APIs and integrations. This role will also advance AI-assisted capabilities for meeting preparation, routing investigation, and product explainability.

$149k - $224k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, an internal engineering force multiplier, drives innovation through strategic investments in data, software, QA, ERP, and AI infrastructure. This role is part of a team building the foundations for CorpOS and ArsenalOS, unifying systems and accelerating development velocity. We are also pioneering an autonomous enterprise by integrating AI directly into the engineering lifecycle, making this a strategic engine for scaling business systems with rigor and adaptability.

$146k - $194k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, specifically the Mission Control group, is responsible for quality assurance, release management, and incident management across the systems that power Anduril's factories. This role will be a senior technical anchor, building automated system integration tests to ensure the quality of product lines as they move through various enterprise systems. The goal is to create a robust testing framework that simulates production environments and empowers engineers and operators to verify quality themselves, leveraging AI to enhance test authoring, maintenance, and triage.

$191k - $253k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, an internal engineering force multiplier, drives innovation through strategic investments in data, software, QA, ERP, and AI infrastructure. This role is part of a team building the foundations for CorpOS and ArsenalOS, unifying systems and accelerating development velocity. We are also pioneering an autonomous enterprise by integrating AI directly into the engineering lifecycle, making this a strategic engine for scaling business systems with rigor and adaptability.

$146k - $194k

Join the AI & Automation Supply Chain Business Transformations team at NVIDIA Operations to develop the future of agentic AI at scale. As a Senior AI Engineer, you will codify decision logic and implement decision intelligence, ensuring AI Agents deliver trusted, scalable, and innovative value. This is a unique opportunity to define AI agents for Supply Chain Operations within a leading AI company. If you are passionate about AI innovation and Supply Chain transformation, contribute to the future of agentic AI.

$224k - $357k

Faire is a technology wholesale platform connecting independent retailers with global entrepreneurs. We leverage tech, data, and machine learning to empower local businesses. The Applied AI/ML Science team builds and maintains models that power the marketplace, including shipping and delivery estimates. This role focuses on developing models that understand products from images and text to improve predictions and enhance retailer confidence, ultimately helping brands sell more on Faire.

Salesforce is seeking a Software Engineering SMTS to join their Product Core team. This team builds foundational product systems for prospect identification, meeting scheduling, data synchronization, workflow execution, and enterprise authentication. They also enable customers and partners to extend the product through APIs and webhooks. The role involves building the data, context, and execution capabilities behind agentic product experiences, such as meeting preparation and routing investigation. As a technical leader, you will drive complex initiatives from design to production, shape architecture, write production code, and influence technical direction.

$149k - $224k

Salesforce is seeking a Software Engineer to join the brand-new Software Factory team. This team is responsible for industrializing software development by building a platform that enables coding agents to perform real work on the company's codebase. The role involves creating remote sandboxes for agents to run builds safely, developing orchestration for agent tasks triggered from various platforms like Slack and GitHub, and implementing observability to ensure the trustworthiness of agent output at scale. The team's strategy is to leverage existing off-the-shelf coding agents rather than building their own, focusing on the surrounding factory infrastructure. As one of the first hires, you will have significant influence in shaping this platform from the ground up, working closely with the CTO on architecture, build-vs-buy decisions, and future priorities, while delivering value to internal customers from day one.

$173k - $314k

Accenture

This role focuses on developing and optimizing AI agents and LLM-powered applications to enhance cybersecurity operations within a Security Operations Centre (SOC). The AI/ML Engineer will collaborate with security experts to design, build, and deploy AI workflows that integrate with existing security tools, aiming to accelerate threat detection and response. The mission is to leverage AI to combat evolving cyber threats, requiring a strong engineering background and a security-first mindset. The position involves architecting modular and scalable AI solutions, implementing robust security measures against adversarial attacks, and adhering to AI governance frameworks for data handling, logging, and compliance. Cost management for LLM usage and infrastructure is also a key aspect, alongside clear technical documentation.

Outset is building AI systems, referred to as digital twins, that represent specific real people and can respond to research questions as those individuals would. These systems are used by global brands to gain deeper qualitative insights about their users at unprecedented speed and scale. The Digital Twins Team focuses on measuring and improving the faithfulness of these AI systems in reproducing human responses and behavior. The Research Scientist will work closely with the Head Scientist to define research questions, design studies, establish measurement criteria, interpret findings, and contribute to internal decision-making and potential academic publications. This role requires a strong background in computational social science, data science, survey methodology, human-computation interaction, and experiment design.

$200k - $240k

Outset is building AI-powered user interviews, creating digital twins that represent specific real people and respond to research questions as those individuals would. The Digital Twins Team focuses on measuring and improving how faithfully these AI systems reproduce human responses and behavior. As a Research Engineer, you will report to the Head Scientist and be responsible for building and maintaining the systems that enable the team's scientists to conduct their studies correctly, reproducibly, and at scale. Your role involves ensuring experiments execute as designed, results are reproducible, and research code stays aligned with the shipped product, supporting scientists in a computational research setting with hands-on experience in LLM-based systems.

$200k - $240k

Scale AI

Scale is seeking a Staff Machine Learning Engineer for its Public Sector team to lead the design and deployment of agentic AI systems in critical government environments. This role involves working at the intersection of agentic ML, systems engineering, and applied research to build foundational infrastructure for AI systems that reason, plan, and act reliably at a national scale. You will partner directly with U.S. defense and intelligence agencies, contributing to flagship programs that advance agentic AI for geospatial reasoning, planning, and decision support. As a Staff ML Engineer, you will set technical direction, own core architectures, and translate ambitious ideas into production systems trusted by government operators.

$274k - $343k

Scale AI

Scale GP is building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. The goal is to help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. This is a 0→1 team looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions, shipping fast, owning outcomes, and working across the stack from frontends to distributed backends to LLM integrations.

$180k - $225k

Growth Platform at Stripe builds machine learning systems to help businesses discover and utilize Stripe products. These recommendations are integrated across various platforms including the Dashboard, email, onboarding, documentation, and AI agent interfaces. The team combines business understanding with models to determine the most useful recommendations, optimal timing, and effective learning from outcomes. Their work encompasses recommendation and ranking models, contextual bandits, agent-based recommendations, and the underlying data and evaluation systems, aiming to drive business growth through relevant product adoption while maintaining a positive user experience.

We are seeking an Applied AI Engineer to build real-world AI applications, working across the full stack from backend services and retrieval pipelines to APIs and user-facing applications. This hands-on role is for someone who enjoys rapid experimentation with emerging technologies and taking ownership of projects from concept to production. You will collaborate closely with engineering and product teams, as well as customers and partners, to explore new use cases, develop reference applications, and showcase the capabilities of Pinecone's technology. The ideal candidate possesses strong full-stack engineering skills combined with practical experience in LLM-powered applications and agentic systems, comfortable with architecture discussions, production code, and prototyping.

$190k - $270k

Anthropic

Anthropic is seeking a Staff+ Software Engineer to enhance the vector search infrastructure powering Claude. This role is crucial for Claude's ability to access information, impacting web search, conversation memory, and model training. You will join a small, foundational team responsible for the architecture, performance, scalability, and cost of the vector database layer. As a hands-on engineer, you will contribute to coding and make key architectural decisions, shaping the future evolution of this critical system within the Databases organization.

$320k - $485k

Cresta is seeking a Staff Machine Learning Engineer to work on high-impact AI initiatives, focusing on next-generation agentic AI systems that augment contact center agents in real-time. This role involves leading and building these systems, requiring strong ML foundations, deep expertise in LLMs and prompting techniques, and a rapid prototyping mindset to translate research into scalable, production-grade systems. The engineer will also focus on improving the reliability, robustness, and performance of LLM-powered agents by designing evaluation frameworks, diagnosing failure modes, and defining measurable quality metrics. Additionally, the role includes architecting and scaling LLM and retrieval-augmented generation pipelines to process complex data and deliver real-time intelligence.

$230k - $300k

Cresta is seeking a Senior Machine Learning Engineer to join their team and work across several high-impact AI initiatives. The role involves leading and building next-generation agentic AI systems that augment contact center agents in real time, designing evaluation frameworks to improve the reliability and performance of LLM-powered agents, and architecting/scaling LLM and retrieval-augmented generation pipelines. Final team placement will be determined by experience, strengths, and business needs.

$205k - $270k