Applied AI Engineer - Internal at Matter Intelligence | San Francisco

About Matter IntelligenceMatter Intelligence is pioneering the future of vision AI by integrating a groundbreaking sensor capable of perceiving molecular chemistry, temperature, and 3D shapes with a Large World Model—our sophisticated intelligence engine tailored for the physical realm. This innovative system transcends mere visual perception; it comprehensi…

About Sprinter HealthAt Sprinter Health, we are dedicated to transforming healthcare access by providing services directly in patients' homes. With nearly 30% of U.S. patients forgoing essential preventive and chronic care due to transportation barriers, we aim to prevent emergency room visits, which cost the healthcare system over $300 billion each year.Leveraging cutting-edge technology akin to that of leading marketplace and last-mile delivery platforms, we ensure care reaches those who need it the most. Our impact is significant, having served over 2 million patients across 22 states, conducting more than 130,000 in-home visits, and achieving a remarkable 92 NPS. Our dynamic team of healthcare professionals and tech innovators has successfully raised over $125 million from top investors such as Andreessen Horowitz, General Catalyst, GV, and Accel, securing a strong multi-year runway for growth.About the RoleWe are assembling an innovative Automated Intelligence team tasked with integrating AI into every facet of our care model—from generating clinical summaries and predicting patient risks to developing workflow agents and enhancing patient interactions. This role is ideal for an engineer eager to rapidly deploy production-level AI systems, navigate complex healthcare and logistics data, and create tools that significantly improve patient outcomes.Office LocationOur company operates in a hybrid model with offices located in San Francisco and Menlo Park, allowing for a balance between in-office collaboration and flexible work arrangements.What You Will Do:Develop and implement AI-driven features that enhance patient care, streamline coordination, and optimize clinical workflows.Create production systems utilizing LLMs, RAG, embeddings, and multi-agent architectures.Launch products including clinical visit summaries, patient risk models, and voice-enabled coordination assistants.Design workflow agents to automate scheduling, follow-ups, and operational tasks.Collaborate closely with product, clinical operations, and data partners to deliver measurable improvements.Contribute to defining the technical vision, tools, and standards for a new team.

Alembic seeks a Senior Applied AI Engineer to develop advanced AI solutions that enhance our products. This position is based at our San Francisco headquarters. Key Responsibilities Design and build AI systems aimed at solving real-world problems Collaborate with engineers and data scientists to create effective models and algorithms Help shape products that learn, adapt, and provide valuable insights to users Collaboration and Teamwork Work alongside a dedicated team focused on practical AI applications. Team members regularly exchange ideas, tackle challenges together, and see the results of their efforts reflected in our technology.

Founded in 2009 in the heart of Silicon Valley by visionaries Marc Andreessen and Ben Horowitz, Andreessen Horowitz (commonly known as a16z) is a premier venture capital firm dedicated to supporting innovative entrepreneurs who are shaping the future through technology. We pride ourselves on being stage agnostic, investing in technology companies from seed to venture and growth stages across diverse sectors including AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and initiatives contributing to American dynamism. Currently managing $90B across multiple funds, a16z is at the forefront of technological innovation.Our team is characterized by a profound respect for entrepreneurs and the intricate process of building companies; we understand the founder's journey firsthand. Our portfolio boasts industry leaders such as Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. We are committed to empowering founders and their teams to make a significant impact on the world.

Slash Financial develops business banking infrastructure tailored for modern companies. The team blends the dependability of traditional banking with features that help businesses operate more efficiently and stay ahead in their markets. Since its start in 2021, Slash Financial has grown quickly, now processing over $10 billion in annual transactions across various industries. Backed by a recent $100M Series C led by Ribbit Capital and supported by Khosla Ventures, Goodwater Capital, NEA, and Y Combinator, the company is focused on expanding its product offerings and scaling operations. The company values in-person teamwork and maintains a hands-on culture at its San Francisco office. Role overview As an Applied AI Engineer at Slash Financial, you will join Slash AI Labs, a team dedicated to integrating AI throughout the company’s financial platform. This early-stage role shapes the direction of Slash’s AI capabilities, focusing on building production-ready AI systems within a rapidly evolving fintech environment. What you will do Develop and release full-stack AI features, including prompt engineering, agent orchestration, React interfaces, and API integrations. Enhance the agent runtime by improving orchestration, tool execution, MCP servers, graph-driven conversation states, and context compaction. Design agent experiences for web, Slack, and API-based user interactions. Create internal AI tools such as model evaluation frameworks, prompt management systems, and utilities for LLM observability. Work directly with Anthropic and OpenAI APIs, the Vercel AI SDK, and Slash’s custom orchestration layer to address tool-calling and multi-step reasoning challenges. Scale and optimize AI infrastructure, including inference routing, model tiering, prompt caching, and streaming on AWS/EKS. Requirements Experience deploying full-stack AI products in production. Strong understanding of AI technologies and frameworks. Background in orchestration and management of AI models. Ability to design applications that function across multiple platforms and interfaces. Strong problem-solving skills and comfort working in a changing environment. Location This position is based onsite at the San Francisco office.

We are seeking a talented Applied Machine Learning Engineer with a comprehensive understanding of the generative media landscape. You should possess an up-to-date knowledge of emerging methodologies and be capable of identifying gaps in the current market. Your role will involve innovating and developing machine learning models that enhance user experiences, requiring both novel training techniques and the fine-tuning of existing models with fresh datasets.

About UsAt Speak, our mission is to revolutionize language learning.Learning a new language can transform lives by unlocking opportunities in diverse cultures, careers, and communities. With over two billion individuals around the globe striving to learn a language, we recognize that traditional one-on-one tutoring remains difficult to access at scale and has seen little innovation over recent decades. Speak is pioneering an AI-driven, human-level tutor accessible right from your pocket, providing a conversation-first experience where learners can practice speaking, receive immediate feedback, and progress through meticulously crafted lessons. Our goal is to facilitate a comprehensive journey from beginner to proficient speaker across various languages.Launched in South Korea in 2019, Speak has quickly become the leading language learning app in the region, now reaching learners across numerous markets and offering instruction in 15+ languages. Supported by over $150 million in venture capital from prestigious investors such as OpenAI, Accel, Founders Fund, and Khosla Ventures, our team is distributed across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.Role OverviewWe are seeking a skilled Machine Learning Engineer specializing in speech to join our innovative team. In this role, you will take charge of the entire modeling pipeline for speech recognition, encompassing training, experimentation, deployment, and ongoing monitoring. Collaborating closely with Product teams, you will design cutting-edge learning experiences and assess the effectiveness of production models on our users. As part of a nimble and dynamic team, you'll contribute as both a developer and a thought partner on projects related to ASR, assessments, pronunciation improvements, content personalization, and more. This is an exhilarating opportunity to be part of an ML team focused on crafting personalized learning experiences that will transform language education for millions worldwide.

About KastleKastle is revolutionizing consumer lending with an innovative AI operating system, beginning with mortgages. We collaborate with leading mortgage lenders across America to enhance their contact center and compliance operations through AI-powered voice agents. Supported by Y Combinator, Commerce Ventures, and industry experts from Snapdocs, Google, and WePay, we are reshaping the lending landscape using cutting-edge AI technologies.About the RoleAs a Senior Applied AI Engineer, you will play a vital role in establishing the technical backbone of Kastle's AI platform. Your responsibilities will include fine-tuning large language models, crafting AI workflows for highly regulated enterprises, and ensuring that our voice agents facilitate accurate, compliant, and effective interactions with borrowers.This position is ideal for an engineer who is passionate about applied AI, eager to tackle real-world challenges, and excited to contribute to the foundation of an early-stage AI startup.What You'll DoAI Model Integration: Fine-tune and deploy LLMs for real-time voice interactions with borrowers.Prompt Engineering: Develop and refine prompt strategies to enhance AI performance and compliance.Evaluate LLMs and AI Agents: Create high-quality evaluations using proprietary datasets to benchmark AI agent performance and conduct experiments.Custom AI Solutions: Train and implement domain-specific AI models tailored for consumer lending.Scalability & Compliance: Guarantee that AI solutions adhere to regulatory standards (FDCPA, RESPA, TILA) while scaling efficiently.Data Pipelines & APIs: Construct robust AI-driven workflows that seamlessly integrate with loan servicing platforms.Continuous Optimization: Monitor performance metrics and consistently enhance agent quality and borrower experience.What We're Looking For2+ years of experience in building and deploying ML/AI systems in production environments.Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or similar).Proven track record of delivering AI products that users rely on.Strong product mindset with the capability to translate business requirements into AI solutions.Excellent communication skills for effective collaboration across teams.

Join Anthropic as an Applied AI Engineer in our Beneficial Deployments team, where you'll utilize your technical acumen to empower mission-driven organizations in leveraging AI for social good. Collaborate closely with partners to enhance their impact by advising on evaluations, optimizing agent architectures, and developing innovative solutions. In this role, you will create ecosystem-level tools and infrastructure that facilitate broader benefits beyond individual collaborations. Your contributions will be pivotal in shaping the future of AI applications in education, healthcare, and more.

Wonderschool creates software that helps small business owners, especially in childcare, grow their businesses. The company is expanding into new sectors, bringing technology to markets that are ready for change. AI is central to Wonderschool’s work, with OpenClaw agents supporting outreach, customer engagement, enrollment, and compliance. The vision is to let non-engineers set up automations and workflows directly from Slack, without needing to write code. Long term, the aim is for AI agents to autonomously build products. The team values quick iteration and focuses on results. Engineers here want their work to have a direct, visible impact. Role overview This Full Stack Software Engineer - Applied AI role centers on building and refining AI-driven systems, supporting internal teams, and delivering features across the stack. The position is based in San Francisco. What you will do Review code generated by AI tools such as Claude Code and Codex, providing feedback to improve agent performance. Design and document codebases for clarity, update data models, and remove outdated patterns to streamline agent development. Develop and manage the automated product pipeline, including signal detection, AI-generated requirements, and code review workflows. Troubleshoot and resolve production issues with AI agents. Create infrastructure and tools so operations, sales, and customer success teams can manage the platform independently. Translate internal needs into automated, reliable systems. Guide non-engineers in understanding and using new solutions. Build features across the stack using React and TypeScript on the front end, Node.js or Elixir on the back end, and Postgres for data storage. Own the product lifecycle from requirements through deployment. Diagnose and fix issues across the stack. Location This role is based in San Francisco.

About Cogent SecurityCogent Security is at the forefront of innovation in cybersecurity, operating as an Applied AI Lab dedicated to developing next-generation AI agents. In an era where cyber threats evolve rapidly, our "AI Taskforce" analyzes vast amounts of enterprise data to proactively address vulnerabilities and prevent significant breaches.Blending cutting-edge research with practical implementation, our team works diligently to transform theoretical concepts into actionable security solutions. Our applied AI lab, Cogent Research, provides essential research capabilities that enable the realization of autonomous security workflows.Since our emergence from stealth mode, Cogent has seen impressive growth, collaborating with Fortune 500 companies to enhance security in some of the world’s most complex environments.Supported by Greylock, we have assembled a team of top-tier talent from influential universities and leading companies in the tech and cybersecurity sectors.

Discover OktaAt Okta, we are redefining how identity is managed across technologies, empowering individuals to securely access any app or device with ease. Our versatile platforms, the Okta and Auth0 Platforms, ensure that identity remains the cornerstone of security and scalability for businesses worldwide.We embrace diverse perspectives and experiences, seeking not just qualifications but a passion for learning and innovation that can enhance our company culture.Join us in crafting a future where identity truly belongs to the user.Our Business Technology team is dedicated to developing secure, intelligent platforms that support our global workforce. The AI & Automation team is at the forefront, integrating next-generation AI tools and automation to optimize workflows in IT, HR, Finance, Sales, Marketing, and Customer Support.We focus on impactful applications: AI-driven virtual agents, intelligent copilots, internal services, and AI-enhanced self-service portals, all designed with scalability, governance, and user experience in mind.The OpportunityAs a Senior Software Engineer, Applied AI, you will be instrumental in designing and implementing user-centric and backend systems that harness Generative AI to elevate internal processes and experiences. This position requires robust full-stack engineering capabilities, with a strong emphasis on AI integration and the creation of intuitive, high-performance user interfaces that render AI tools accessible and beneficial for our internal stakeholders.Collaborating closely with fellow engineers, product managers, and designers, you will help develop secure, intelligent solutions for our workforce at Okta.

Join Perplexity as an Applied Machine Learning Engineer and be at the forefront of innovation in artificial intelligence. You will design, develop, and refine advanced AI models that enhance user experiences globally. Your expertise in machine learning will allow you to create scalable solutions for user personalization, query comprehension, and content discovery, catering to the curiosity of millions.Key ResponsibilitiesUtilize cutting-edge ML and LLM techniques to address challenges in:Personalization (LLM memory, context summarization, retrieval, and ranking);Query Understanding (intent modeling, rewriting, agentic decomposition);Content Discovery (feed ranking and surfacing).Conduct thorough evaluations of LLM/ML models through offline and online methods, designing comprehensive experiments and metrics that yield insights into quality and impact.Manage the full model lifecycle from research to deployment, including data analysis, modeling, evaluation, A/B testing, and iterative enhancements.Collaborate with cross-functional teams, including engineers, PMs, data scientists, and designers, to ensure AI implementations yield significant product enhancements.Stay updated on ML/AI advancements by assessing and integrating new research and algorithms into the product lifecycle.Preferred QualificationsOver 5 years of experience in developing and deploying robust ML/AI models for large-scale, user-centric or data-driven applications.Extensive knowledge in deep learning frameworks (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and ranking.Proficient software engineering skills (Python, production-level codebases, collaborative development).Comprehensive experience across the entire ML lifecycle: data analysis, feature engineering, model development, evaluation, and ongoing monitoring/improvement.Effective collaborator and communicator; thrives in fast-paced, cross-functional environments.Inquisitive, motivated by user/product impact, and passionate about advancing applied ML and AI.Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field (or equivalent experience).

About Nooks.ai:Nooks is a cutting-edge AI Sales Assistant Platform (ASAP) designed to streamline sales processes, allowing representatives to concentrate on building relationships and closing deals. Our innovative platform has empowered thousands of sales professionals to achieve their targets, saving clients countless hours and generating substantial revenue. Trusted by sales teams at industry leaders like Hubspot, Rippling, and Toast, Nooks is transforming the sales landscape.Backed by over $70M in investments from top-tier venture capital firms, including Kleiner Perkins, Nooks has experienced remarkable growth, achieving a 4x and 3x increase in ARR over the past two years. We are on an ambitious trajectory to triple our growth once again this year.For more information, visit Nooks.ai.The RoleNote: Job title will be aligned with candidate experience.We are seeking a passionate Applied Machine Learning Engineer to join our dynamic team, tackling exciting technical challenges in the emerging field of AI-powered real-time collaboration. This role is pivotal in integrating machine learning features into the Nooks platform. The ideal candidate will have hands-on experience in a business where machine learning plays a central role.Key responsibilities will involve training production models to enhance their accuracy for specific sales applications, while aligning our technical strategy with performance, cost, and feasibility factors.Examples of Engineering Challenges You Might EncounterThese examples are illustrative; prior experience in all areas is not required. We hope you find some of these challenges intriguing!Real-time Audio AI & Precision/Recall/Latency Trade-offs (Algorithms & Models)Utilizing audio data, transcription, silence detection, and multiple signals to discern if a live call is a voicemail, a human, or a dial tree. Managing latency alongside precision/recall trade-offs is crucial for prompt human detection, involving advanced techniques like LLM embeddings, few-shot learning, data labeling, and continuous performance monitoring.Intelligent Call Funnels & Playbooks (Data Wrangling, Backend Engineering, GPT-3, UX)Analyzing the conversational flow to optimize call funnels and playbook strategies, focusing on data visibility and user experience.

P-1380 Join Databricks as a Senior Applied AI Engineer, where you will harness the power of machine learning, scheduling, and optimization algorithms to enhance the efficiency and performance of our engineering systems and infrastructure. Our Applied AI team tackles some of the most challenging and fascinating issues in the industry, ensuring that Databricks infrastructure and products operate at peak performance and cost efficiency. This role is critical, as our customers depend on us to deliver the most optimized workloads. Your Impact: Develop comprehensive systems from the ground up within a dynamic team of seasoned professionals. Influence the direction of our applied machine learning investment areas by collaborating with engineering and product teams across the organization. Lead the design and implementation of advanced AI models and systems that enhance the capabilities and performance of Databricks' products, infrastructure, and services. Architect and deploy robust, scalable machine learning infrastructure, including data storage, processing, model training, serving components, and monitoring systems to facilitate seamless integration of AI/ML models into production environments. Explore innovative modeling techniques in the realm of machine learning for systems. Contribute to the wider AI community by publishing research, presenting at conferences, and actively engaging in open-source projects, thereby strengthening Databricks' reputation as an industry leader.

Artificial Intelligence (AI) is increasingly essential across various sectors of society. At Scale AI, we are dedicated to accelerating the evolution of AI applications. For over eight years, we have been a premier AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding round, we are enhancing the deployment of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP). Our SGP ML team stands at the forefront of the AI revolution. We collaborate directly with clients to create innovative products utilizing our extensive proprietary research and resources. As a Staff Applied AI Engineer, you will engage with clients to develop machine learning solutions that address their specific business challenges. Your projects will encompass a range of applications, from constructing next-generation AI cybersecurity firewalls to transforming journalism through AI experiences, as well as employing foundational genomic models to predict vital drug proteins. Through daily data-driven experiments, you will uncover critical insights regarding model performance, which you will leverage to enhance our products. If you are passionate about influencing the future of AI, we invite you to apply!

Join Fieldguide as the Director of Applied Intelligence and lead our innovative team in harnessing the power of AI technologies to drive exceptional business solutions. You will be at the forefront of transforming data into actionable insights, ensuring our clients achieve their strategic goals.

This is a placeholder job posting, utilized for internal testing purposes. Please note that any applications submitted through this platform will not be processed.This position is interesting but strictly for testing...Job post description concluded.

Join Demandbase as an Applied AI Scientist, where you'll have the opportunity to push the boundaries of AI technology in a dynamic and innovative environment. As a key member of our team, your role will involve developing and implementing advanced AI solutions that drive impactful business results.We're looking for a passionate individual who thrives on solving complex problems and is eager to contribute to AI advancements. You will collaborate with cross-functional teams to integrate AI models into our existing frameworks and enhance our product offerings.

Join lilasciences as a Product Lead specializing in Software and Applied AI, where you will spearhead innovative projects that leverage cutting-edge AI technologies. In this pivotal role, you will collaborate with cross-functional teams to define product vision, strategy, and execution, ensuring alignment with user needs and market trends.