AI/ML Platform Engineer

Join Opendoor as an AI/ML Platform Engineer, where you will have the opportunity to shape the future of real estate technology. In this role, you will develop and maintain cutting-edge AI and machine learning platforms that drive innovation in our processes and enhance user experience. Collaborate with cross-functional teams to design robust solutions that address real-world challenges and improve operational efficiency.

Join Accenture Federal Services as a Generative AI Platform Engineer where you'll be at the forefront of innovation, leveraging cutting-edge AI technologies to create transformative solutions for our clients. You will collaborate with a talented team to develop and implement AI-driven platforms that enhance operational efficiency and deliver exceptional user experiences.

Join our dynamic team at DigitalOcean as a Senior Full-Stack Engineer II, specializing in Artificial Intelligence and Machine Learning. In this role, you will leverage cutting-edge technologies to design, develop, and deploy robust applications that enhance our platform's capabilities. Collaborate with cross-functional teams to deliver innovative solutions that empower developers and businesses worldwide.

Join HackerOne as a Senior Software Engineer on our cutting-edge AI Platform team. In this role, you will be pivotal in designing and developing innovative AI solutions that enhance our security platform. We are looking for a skilled engineer who thrives in a collaborative environment and is passionate about leveraging technology to solve complex challenges in cybersecurity.

Role Overview SoFi is hiring a Director of AI Platforms to guide the development and implementation of artificial intelligence across its financial services. This leader will set direction for strategic AI initiatives, manage a skilled team of data scientists and engineers, and ensure that AI solutions deliver meaningful results for customers. Key Responsibilities Shape and drive AI strategy to support SoFi’s business goals Oversee the design and deployment of AI solutions within financial products Lead, mentor, and grow a multidisciplinary team of data scientists and engineers Collaborate with stakeholders to identify opportunities where AI can improve customer experience Location San Francisco, CA Seattle, WA

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only safe but also interpretable and steerable. Our mission is to ensure that AI serves the best interests of our users and society at large. Our rapidly growing team comprises passionate researchers, engineers, policy experts, and business leaders, all collaborating to create beneficial AI technologies.About the Role:We are seeking skilled software engineers to join our Platform team. This team is responsible for building the essential foundations that enhance product development across Anthropic. We manage the infrastructure and systems that teams rely on for reliable and scalable deployment to both internal users and hundreds of thousands of external clients worldwide.In this role, you will independently define and scope complex, multi-month projects, fostering cross-organizational alignment in ambiguous problem areas. Your architectural decisions will significantly influence the way Anthropic develops and scales its products. You will collaborate closely with research teams to transform cutting-edge capabilities into market-ready solutions, ensuring a lasting impact on our platforms that serve both internal and external engineering teams.Multiple teams are actively hiring, and team assignments will be determined post-interview based on your skills, interests, and the needs of the organization. This flexible approach helps us align talented engineers with backend product initiatives where they can make the most significant impact and experience growth.Your Responsibilities:Platform Acceleration: You will enhance developer productivity for product engineers at Anthropic. This includes architecting and optimizing critical development infrastructure that fuels our AI product development, encompassing development environments, observability, and CI/CD pipelines. You will work closely with product teams to understand their workflows and eliminate friction points, resulting in a profound multiplier effect across the product organization, thus accelerating our mission.Service Infrastructure: You will build and maintain the core infrastructure that supports Anthropic's engineering efforts, ranging from service mesh and observability systems to deployment pipelines and shared libraries. Your contributions will empower product teams to construct and operate reliable services at scale, positioning you as a critical force multiplier within the company.Multicloud: You will develop and sustain the infrastructure that allows Anthropic to function seamlessly across various cloud providers, focusing on cloud-agnostic solutions that enhance our operational efficiency.

About AnthropicAt Anthropic, we are dedicated to creating AI systems that are not only reliable and interpretable but also steerable. Our mission is to ensure that AI is both safe and beneficial for our users and society at large. Our quickly growing team comprises passionate researchers, engineers, policy experts, and business leaders who collaborate to construct beneficial AI systems.About the RoleWe are seeking talented software engineers to join our Platform organization, where we create foundational tools that enhance product development across Anthropic. You will take ownership of the infrastructure and systems that teams rely on to deliver products reliably and at scale, whether for internal stakeholders or for hundreds of thousands of external users and companies worldwide.This position is ideal for engineers who excel in tackling complex infrastructure challenges and designing systems that are reliable, scalable, and elegant. You will play a pivotal role in defining the performance quality standards for our company, supporting the next generation of LLM-first products, and transforming the developer experience into a best-in-class model.We have several teams actively hiring, and placements will be made post-interview based on your interests and experience, along with our organizational needs. This flexible approach allows us to align talented engineers with the projects where they can have the most significant impact and potential for growth.Platform Acceleration: Your work will focus on maximizing the productivity of our product engineers. You will design and optimize essential development infrastructure that drives our AI product development, including development environments, observability tools, and CI/CD pipelines. Working closely with product teams, you'll identify and eliminate friction points in their development workflows, thus significantly enhancing productivity across our entire product organization and accelerating our mission.Service Infrastructure: We maintain the core systems that underpin Anthropic's engineering efforts, from service mesh and observability systems to deployment pipelines and shared libraries. Our contributions enable product teams to build and operate reliable services at scale, making us a vital multiplier of effectiveness across the entire company.Multicloud: We create and maintain the infrastructure that allows Anthropic to operate seamlessly across multiple cloud providers, emphasizing cloud-agnostic tools, cross-cloud networking, and multi-region deployments.Authentication & Identity: We construct and uphold the critical infrastructure that supports identity management and authentication across Anthropic's platforms.

About Sobek AISobek AI is at the forefront of creating a secure infrastructure for life sciences innovation and intergovernmental emergency response. With backing of over $10M in grants and funding, we collaborate with internationally recognized organizations to enhance mission-critical, distributed workflows using AI, all while safeguarding intellectual property and sensitive public health data.The RoleWe are seeking a talented Full-Stack Engineer to take ownership of product surfaces from start to finish. This role is high-impact and allows for significant ownership, focusing on transforming complex generative AI workflows into reliable software solutions.What You’ll DoOwn features across the stack: Bring ideas to life from conception to production, including UX flows, React/TypeScript UI, well-defined Python/TypeScript APIs/services, and oversee production rollout and performance measurements.Build intuitive, data-rich interfaces: Create tables, complex forms, document views, and comparisons that are accessible and responsive, tailored for modern generative AI workflows.Design and operate services: Develop clear REST/gRPC/streaming endpoints, model data using SQL/NoSQL and vector stores, implement queues/caches as necessary, and enhance with tracing and metrics.AI orchestration: Improve orchestration to effectively manage multi-LLM workflows with appropriate controls for cost, latency, and security/auditability.Ship quickly and iterate: Prototype, launch behind feature flags, gather feedback and telemetry, and refine based on user input.Collaborate deeply: Work alongside engineers across the stack to translate real-world needs into dependable software solutions.Be a force multiplier: Facilitate reviews and architectural decision records across frontend and backend to establish scalable patterns.About You3+ years of full-time software engineering experience.You have successfully owned and delivered full-stack software in production—from UI (experience with React/TypeScript is a plus) to backend services (experience with Python or Node.js is a plus)—and are familiar with deployment pipelines in product environments where both quality and speed are crucial.You are comfortable designing API contracts (paging, errors, retries) and debugging end-to-end with logs and traces.You can reason about concurrency and understand how to ensure reliability in distributed systems.

Truveta is developing a data platform led by healthcare providers to support medical research, improve clinical tools, and help families make informed decisions. The company brings together experts in healthcare, software engineering, and big data. Details about Truveta’s values are available here. Role overview This Senior Machine Learning Engineer position centers on healthcare AI innovation. The role involves working with a team dedicated to creating data-driven solutions that aim to advance healthcare. The position is based at Truveta’s headquarters in the Greater Seattle area, with a hybrid work arrangement.

Role overview ditto is seeking a Senior Platform Engineer, Operator for a fully remote role. This position is open to candidates located in Atlanta, Austin, San Francisco, or Seattle. The focus is on designing, building, and maintaining systems that keep company operations running smoothly and efficiently at scale. What you will do Design and implement systems that improve platform scalability, performance, and reliability. Maintain and enhance the existing infrastructure to support ongoing business operations. Work closely with cross-functional teams to address technical challenges and streamline processes. Use technical expertise and leadership to drive key platform initiatives. Requirements Extensive experience in platform engineering. Strong problem-solving abilities and a collaborative mindset. Proven ability to contribute technical insights and lead engineering projects. Location This is a remote position. Candidates must be based in Atlanta, Austin, San Francisco, or Seattle.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging issues — from transforming transportation innovations to fast-tracking medical advancements. Our mission is realized through the development and management of the world's leading data and AI infrastructure platform, enabling our clients to harness deep data insights for business improvement. Founded by engineers with a strong focus on customer satisfaction, we eagerly embrace technical challenges, whether it's creating next-generation UI/UX for data interaction or scaling our services across millions of virtual machines. Our journey is just beginning.About the Team:The AI Platform team is responsible for creating the foundational infrastructure that facilitates large-scale machine learning and AI on Databricks. Our offerings cover the entire ML lifecycle — from feature engineering and model training to model serving and monitoring — allowing data and AI teams to confidently build, deploy, and manage production ML systems. We delve into some of the most technically demanding aspects of the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.Our goal is to simplify the process for enterprises to operationalize AI. We achieve this through a unified, governed, and high-performance AI platform that integrates seamlessly with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a streamlined experience. You will be part of a team that delivers products utilized by thousands of the world's most advanced data and AI organizations.In this role, you will shape the vision and roadmap for AI platform product areas, defining how customers construct, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate with engineering teams to provide a cohesive and robust pathway from experimentation to production.

About UsAt Aerovy, we are a dynamic startup dedicated to creating the digital infrastructure for the future of intelligent hardware. Our mission is to empower OEMs to swiftly launch cloud-native software and services, transforming traditional physical systems into advanced, connected platforms.We began our journey by electrifying airport systems and are now extending our expertise to sectors including aviation, mobility, and industrial applications, enabling them to connect their hardware, optimize energy use, and explore innovative business models.The Aerovy JourneyFounded in 2023, we focus on developing infrastructure for advanced air mobility.Originated from Purdue University's Aerospace Systems Engineering research.Supported by M25, Mudita, Flywheel Fund, Quorum Capital Partners, Purdue Ventures, and others.Position OverviewAs a Platform Engineer at Aerovy, you'll play a vital role in designing and delivering essential components of our cloud platform, catering to real-time applications within energy, IoT, telematics, and AI domains.This position involves working on a modular and extensible system that serves a range of applications from electric vehicle fleets and battery management systems to electric aviation and robotics. You will take ownership of features from inception through to deployment, collaborating closely with a talented and agile team.If you are passionate about building high-performance production systems, tackling challenging problems at scale, and delivering tangible value in a fast-paced environment, we would be thrilled to connect with you.Requirements:Minimum of 2 years of experience in a software engineering role.Bachelor's, Master's, or PhD in Computer Science, engineering, or a related field, or equivalent practical experience.A strong enthusiasm for identifying and addressing complex problems.A commitment to continuous learning and personal development, both technically and otherwise.Exceptional problem-solving abilities and a keen interest in technological innovation.Preferred Qualifications:Experience with Cloud/IaaC Infrastructure and Tooling, ideally with AWS (EC2, Lambda, S3, RDS, AWS Batch, DynamoDB, CloudFormation/CDK, etc.).Proficient with Docker and containerized applications.Experience with near real-time and real-time analytics, as well as time series databases.Proficiency in C# programming language.Key ResponsibilitiesFunction independently and proactively while collaborating with your team for support.Contribute to the architecture and development of innovative solutions within our cloud platform.

Location: Boston, MA; Costa Mesa, CA; Seattle, WA About Anduril Industries Anduril Industries builds advanced defense technology for the U.S. and allied nations. The company’s systems run on Lattice OS, a platform that fuses thousands of data streams into a real-time, 3D command and control environment. Anduril focuses on delivering autonomy, AI, computer vision, sensor fusion, and networking solutions to military operations quickly, often in months rather than years. Team Overview: Developer Platform The Developer Platform team provides the backbone for software development at Anduril. This group manages the main developer CLI, which sees over 93,000 uses by more than 2,300 engineers. CI/CD pipelines support 3,500+ engineers across 23 product lines in the U.S., Australia, and the U.K. The team also handles deployment and release management systems, as well as the company’s LLM adoption platform. Now, the team is launching a new agentic development initiative to build next-generation AI-centric developer infrastructure. What You Will Do Build infrastructure for multi-agent orchestration, enabling AI coding agents to operate autonomously on servers and manage tasks across repositories at scale. Develop a real-time, agent-optimized knowledge base that gives AI agents detailed context about codebases, architecture, and operational patterns. Create a skills and plugin platform so teams can encode domain expertise into reusable AI features. Improve CI/CD reliability and the developer experience across 23 product lines. Design and refine release tools to simplify software deployment to production and robotic platforms. Oversee and enhance Anduril’s LLM adoption platform, including model rollouts, capacity planning, cost tracking, and developer onboarding.

Scale AI is seeking a Senior AI Infrastructure Engineer to help build and refine the company’s Training Platform. This position centers on designing, implementing, and improving infrastructure that supports machine learning teams as they train and deploy models. Role overview This engineer will work closely with colleagues across different functions to create solutions that make AI systems more efficient. The focus is on enabling faster, more reliable model training and deployment. Key responsibilities Design and build infrastructure for AI model training Implement and optimize systems to support machine learning workflows Collaborate with teams throughout the company to improve platform capabilities Locations This role is based in San Francisco, Seattle, or New York.

ditto is hiring an Engineering Manager to lead the Platform team. This remote role is available to candidates based in Atlanta, Austin, San Francisco, or Seattle. The Platform team focuses on building and integrating solutions that support both user experience and the company’s operational needs. Role overview The Engineering Manager will oversee a group of engineers dedicated to platform systems. This position involves guiding the team’s technical direction and ensuring that platform solutions are both scalable and reliable. What you will do Lead and mentor engineers working on platform systems Guide the development of scalable, reliable solutions Work closely with cross-functional teams to align on project goals and deliverables Encourage continuous improvement and technical excellence within the team Ensure platform integrations operate smoothly and support business objectives Requirements Experience managing engineering teams Strong background in building scalable systems Skilled in project management and working across teams Comfortable working remotely and leading distributed teams Proven commitment to team growth and maintaining high standards

ABOUT LVTLiveView Technologies, Inc. (LVT) is at the forefront of revolutionizing business operations in the physical realm, transcending conventional security solutions to provide AI-enhanced, actionable intelligence that elevates site safety, security, and efficiency. Since the launch of our pioneering mobile, solar-powered units, our unwavering dedication to innovative, hands-on solutions has established us as a leader and one of the fastest-growing companies in intelligent site technology. We are crafting cutting-edge solutions—from our field units to a robust Agentic AI platform—that empower our clients with unparalleled visibility and control over safety, compliance, and operations. This is your opportunity to be part of a visionary team that is not just observing change but actively shaping the technology that drives it.Our focus is on growth and innovation, and we take pride in the recognition our team, products, and leadership have received for our efforts.A Top-Tier Growth Company: Recognized as one of the Financial Times’ Fastest Growing Companies 2025 and ranked #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.Innovative Leadership: Our CEO, Ryan Porter, was honored as an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, received an induction into the Silicon Slopes CTO Hall of Fame in 2024.Product & Software Excellence: We were named one of The Software Report’s Top 100 Software Companies of 2023 and are proud recipients of the Security Today Govies Award for 2025.ABOUT THIS ROLEThe Director of Engineering, Applied Intelligence & Data Platforms will spearhead the evolution of LVT’s core data and intelligence platform, championing the integration of distributed cloud services and applied AI to convert extensive sensor data into actionable, real-world insights.We seek a leader who combines profound expertise in machine learning with the capability to construct and manage distributed systems at scale. A robust background in the IoT sector is essential, alongside the ability to connect high-performance cloud services with edge-computing environments. This leader will guide multiple existing teams and assist in establishing new teams based on our strategic roadmap and customer engagement opportunities.

As a Forward Deployed Engineer (FDE) at Palona AI, you will serve as a crucial link between our innovative product and engineering teams and our valued customers. Your role involves embedding directly with users to understand their unique challenges and translating those insights into cutting-edge technical solutions. You'll be responsible for deploying production-grade AI systems, managing deployment complexities, influencing product development, and spearheading impactful customer-facing initiatives.Key Responsibilities Collaborate with customers to define, design, and implement AI systems that solve real-world business challenges. Build and integrate production-ready AI applications tailored to customer infrastructures. Create and present engaging demonstrations and prototypes that highlight the capabilities of our AI technology. Ensure the reliability, safety, and performance of AI agents once deployed in production settings. Gather customer feedback and insights to inform continuous product and agent enhancements.

Join the Allen Institute as a Senior Technical Program Manager on our cutting-edge AI Platform. In this pivotal role, you will lead complex technical projects, collaborating with cross-functional teams to drive innovation in artificial intelligence research. Your expertise will be instrumental in defining project scopes, timelines, and deliverables, ensuring alignment with organizational goals.Key responsibilities include managing project lifecycles, facilitating communication between stakeholders, and implementing best practices for project management. We seek a passionate individual who thrives in a dynamic environment and is eager to contribute to groundbreaking advancements in AI.

FutureSight seeks a Co-Founder & CEO to lead the launch of an AI-powered content intelligence and publishing platform. This is a remote position, with a Seattle, Washington base. Role Overview Content drives distribution for entrepreneurs, operators, and businesses, but current methods for producing high-quality, insight-driven material are inefficient. The real bottleneck is not writing, but synthesizing scattered information from feeds, newsletters, podcasts, and articles. Without a structured approach, valuable insights are lost, publishing becomes inconsistent, and audience growth stalls. FutureSight is building an AI-centric engine that transforms raw information into structured insights and ready-to-publish content. The platform ingests quality sources, extracts and organizes insights by theme, and generates drafts tailored to individual or brand voices. This streamlines the entire workflow from input to output. This venture is not starting from zero. There is already a working product, active users, and real-time feedback to speed up iteration and market entry. The CEO will help define a new category at the intersection of creator tools, artificial intelligence, and knowledge workflows, building a foundation for modern content generation for individuals and teams. Key Responsibilities Drive customer acquisition, starting with internal design partners and expanding to creators, teams, and agencies to validate retention and pricing. Work with FutureSight’s product and engineering teams to launch Version 1 of the platform. Lead the seed funding round in partnership with FutureSight’s initial investment. Recruit the founding team and establish a strong company culture. About FutureSight FutureSight is a venture studio focused on co-creating and investing in B2B SaaS and Vertical AI startups. The studio partners with founders, providing hands-on support and early-stage capital to reduce risk and improve the odds of success. The leadership team combines experience in building and investing. Kevin Nguyen and Alan Smith guide venture design and product strategy. Prathna Ramesh leads capital strategy with her investment background. Dennis Ensing offers operational and strategic mentorship. Krista LaRiviere brings deep entrepreneurial and marketing experience, while Anupama Joshi supports founder development. John Carbrey (San Francisco) adds expertise in scaling SaaS startups from inception to exit, having built and sold multiple ventures.

About Us:Read AI is at the forefront of productivity-enhancing AI solutions, dedicated to empowering individuals and organizations to streamline their workflows across meetings, messaging, and email communication. Our seamless integration with leading platforms such as Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce transforms how teams collaborate, providing an AI copilot that enhances productivity wherever work happens.Having recently secured $50 million in Series B funding led by Smash Capital, along with ongoing support from existing investors Madrona and Goodwater Capital, our total funding now stands at $81 million, marking an exciting phase of growth just six months post-Series A. If you are passionate about developing impactful solutions and eager to contribute to a rapidly growing company, we invite you to be part of our journey!The Role:As a Senior Software Engineer at Read AI, you will play a critical role in shaping the architecture and performance of our product. You will oversee the data flows and machine learning infrastructure, which encompasses real-time audio and video processing, interactions with third-party LLM providers, data processing orchestration, database management, data APIs, inferencing services, and transcription services.Responsibilities:Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.Take ownership of key system components from conception through deployment and maintenance.Implement quality assurance best practices, including unit and integration testing.Optimize data processing pipelines and storage solutions for efficiency.Seamlessly integrate third-party services and data sources into our platform.Monitor and troubleshoot infrastructure and operational issues to ensure maximum uptime and reliability.Continuously assess and adopt best practices, tools, and technologies to improve system scalability, reliability, and maintainability.