Senior Product Software Engineer in Applied Technologies

At Plaid, we envision a future where financial interactions are seamless and empowering. Our mission is to facilitate this transformation by developing innovative tools and experiences that empower thousands of developers to build their own financial products. With Plaid, millions of individuals can manage their finances effectively, leveraging our connections to a vast network of companies, including Venmo, SoFi, and numerous Fortune 500 firms, as well as major banks. Covering over 12,000 financial institutions across the US, Canada, UK, and Europe, Plaid has established itself as a leader in financial technology since its inception in 2013. Headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam.Join our Network Enablement team, where our mission is to enhance Plaid’s network effects by building trust and sharing valuable insights with our data partners.We are responsible for creating cutting-edge solutions including Trust & Fraud Insights, Bank Intelligence, and foundational ML/data infrastructure. Our work encompasses real-time Protect model scoring, two-way APIs/webhooks, investigation tools, ML-driven retention metrics, and scalable batch processing.As a Senior Software Engineer in this role, you will spearhead the design and operation of the ML infrastructure and product services that underpin trust and intelligence throughout Plaid’s network. Your responsibilities will include feature engineering, offline training, batch scoring, online feature serving, and real-time inference, ensuring that model outputs effectively drive partner-facing fraud and trust products as well as bank intelligence features. You will also integrate inference into product logic, establish reproducible pipelines, and implement CI/CD for models while maintaining observability, compliance, and reproducibility as we expand our network capabilities. Collaborating closely with Product, ML/Data Platform, Fraud, Foundational Modeling, MLE, DS, and Privacy teams, you will deliver reliable, auditable ML solutions that positively impact our product KPIs.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About Us:At Parafin, our mission is to empower small businesses to thrive in today's competitive landscape. We understand that small businesses form the backbone of our economy, yet they often face challenges in accessing essential financial resources. Our innovative technology streamlines access to vital financial tools directly on the platforms they already utilize for sales. Partnering with industry leaders such as DoorDash, Amazon, Worldpay, and Mindbody, we provide small businesses with fast, flexible funding, efficient spend management, and effective savings solutions through simple integrations. Parafin manages the complexities of capital markets, underwriting, servicing, compliance, and customer support to ensure seamless experiences for our partners and their small business clients.We are composed of a dynamic team of innovators with backgrounds from top firms like Stripe, Square, Plaid, Coinbase, Robinhood, and CERN, all driven by a passion for developing tools that facilitate small business success. Backed by esteemed venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin stands as a Series C company with over $194M raised in equity and $340M in debt facilities. Join us in shaping a future where every small business has access to the financial tools they need.About The PositionWe are on the lookout for a skilled Software Engineer to join our Infrastructure team and spearhead the advancement of our Machine Learning (ML) Platform. This pivotal role is essential for constructing reliable, scalable, and developer-centric systems for model experimentation, training, evaluation, inference, and retraining that drive underwriting and other ML-powered products for small businesses.As a Software Engineer, you will design, build, and maintain the core frameworks and platforms that empower data scientists to deploy high-quality models into production efficiently and safely. You'll work closely with Data Science and Platform Engineering, taking ownership of the ML platform from end-to-end, and develop both batch and real-time underwriting infrastructure.What You'll DoTransform notebooks into reliable software. Break down data scientist training and inference notebooks into reusable, well-tested components (libraries, pipelines, templates) with clear interfaces and documentation.Develop user-friendly ML abstractions. Create SDKs, CLIs, and templates that simplify the definition of features, model training and evaluation, and deployment to batch or real-time targets with minimal boilerplate.Construct our real-time ML inference platform. Establish and scale low-latency model serving capabilities.Enhance batch ML inference processes. Optimize scheduling, parallelism, cost controls, and observability to improve efficiencies.

Join our innovative team at Mercury as a Senior Software Engineer specializing in AI Enablement. In this pivotal role, you will leverage your expertise in artificial intelligence to drive transformative solutions that enhance our products and platforms. Collaborate with cross-functional teams to design, develop, and implement cutting-edge AI features that meet our users' evolving needs.We are looking for a candidate who thrives in a fast-paced environment, possesses a strong understanding of AI technologies, and is passionate about creating impactful software solutions. Your contributions will be essential in shaping the future of our offerings and delivering exceptional user experiences.

Join Our Team at MacroscopeAt Macroscope, we are dedicated to being the definitive source of truth for any software development company. Our mission is to empower leaders with clarity and provide engineers with the time they need to innovate.We enable leaders to gain insights into the evolution of their products and codebases—tracking changes, understanding team contributions, and identifying progress—all grounded in the ultimate source of truth: the code itself.Founded by experienced entrepreneurs who have successfully built and sold multiple companies, and held executive positions in public tech firms, we are backed by top-tier venture capital firms such as Lightspeed Venture Partners, Thrive Capital, Google Ventures, and Adverb.The RoleWe are seeking a Senior Applied Machine Learning Engineer who will be responsible for designing, developing, and optimizing the ML and AI systems that drive our core offerings. You will have full ownership of the systems, overseeing everything from data collection and evaluation to model experimentation and large-scale production deployment.This cross-functional position entails leading the ML/AI lifecycle for one of our most vital features: AI Code Review. Collaborating closely with our co-founders, you will make pivotal decisions that shape our product's development—ranging from building high-quality datasets to interpreting experimental results and enhancing model performance architecture. Additionally, you will play a significant role in crafting and implementing software that seamlessly integrates our models with our backend applications and user experience, offering a unique opportunity to influence our product's evolution significantly.Technology Stack: Typescript/React (frontend), Golang (backend), Temporal, Google Cloud (GCP), Postgres, Terraform, and custom-built AST "code walkers" in several programming languages including Golang, Typescript, Swift, Python, and Rust.

Join Cloudflare as a Senior Software Engineer in our Network Development team, where you will design and implement innovative network solutions that enhance our global infrastructure. This role offers the opportunity to work with cutting-edge technologies and collaborate with talented engineers to drive significant improvements in network performance and reliability.

Join Airwallex as a Senior Software EngineerAt Airwallex, we are redefining the global payments and financial landscape for businesses. Our integrated financial platform empowers over 200,000 companies, including major players like Brex and SHEIN, to streamline their operations from payment processing to treasury management.Founded in Melbourne, we now boast a diverse team of over 2,000 talented professionals across 26 offices globally. With a valuation of $8 billion and backing from top-tier investors such as T. Rowe Price and Visa, we are on a mission to revolutionize the future of global banking and finance. If you are ready to take on ambitious challenges and make a significant impact, we want you on our team.What We Look ForWe seek passionate builders who thrive in a fast-paced environment and are driven by innovation. If you possess deep technical expertise, exceptional problem-solving skills, and a collaborative spirit, you will excel here. We value curiosity, humility, and the ability to turn visionary ideas into tangible products. Leverage AI to enhance efficiency and tackle complex challenges with strong teammates as we shape the future of finance together.Your RoleAs a Senior Software Engineer within our Platform Engineering team, you will play a crucial role in designing and implementing next-generation infrastructure. We are focused on developing a robust, distributed ecosystem that supports real-time AI capabilities and global financial data management.Your responsibilities will include optimizing distributed systems, enhancing JVM performance, and employing architectural patterns that facilitate real-time data processing.

Join our innovative team at Crusoe as a Senior Software Engineer specializing in Networking. In this critical role, you will develop cutting-edge software solutions that enhance our networking capabilities and support our mission of delivering efficient computing resources.Your expertise will contribute to building scalable and reliable network architectures, enabling us to serve our clients better. Collaborate with cross-functional teams and leverage your knowledge in software engineering to push the boundaries of technology.

About ShepherdAt Shepherd, we are a pioneering Managing General Underwriter (MGU) committed to revolutionizing commercial Property & Casualty insurance specifically for high-hazard industries. Our goal is to create a seamless risk management experience for the visionaries and builders who are shaping the physical landscape. We ensure protection from the initial concept stage through construction and into the long-term operational phase.We are developing the fastest and most intelligent commercial risk platform, where automation, data, and underwriting expertise converge to deliver:Accelerated decision-makingEnhanced and precise pricing strategiesImproved risk management outcomesWith Shepherd, safety, efficiency, and quality enhance one another. We are not simply modernizing insurance; we are constructing the risk infrastructure for the next generation of financial services, where technology, underwriting, and strategic partnerships work in unison to support critical industries and the progress they enable.Our InvestorsShepherd has successfully raised over $20M from prestigious investors such as:Spark CapitalCostanoa VenturesY CombinatorSusa VenturesIntact VenturesAnd many othersJoin Our TeamWe are a passionate group of technologists and insurance experts who bridge the gap between innovation and tradition. Discover more about our values and team on our About page.Position SummaryWe are seeking a talented Software Engineer specializing in Applied AI to develop intelligent systems that will enhance our underwriting and pricing mechanisms. This role is positioned at the convergence of product engineering, AI infrastructure, and the practical applications of insurance workflows.You will be responsible for designing and deploying production-level AI systems that significantly impact our operational processes.

RoleAs a Software Engineer specializing in Applied AI at OpenEvidence, you will be instrumental in developing comprehensive systems that harness cutting-edge AI models to create impactful, user-centric products.We seek exceptional builders who thrive outside conventional boundaries. Our engineers engage across various projects and products, taking ownership to maximize their impact.About UsOpenEvidence stands as the leading medical AI platform globally.In just over a year, over 40% of US clinicians have adopted our solution, driven by product-led growth and word-of-mouth recommendations. We are a $12 billion company with a talented 30-person engineering team hailing from prestigious institutions like MIT, Harvard, and Stanford. We believe that transformative products emerge from a small cadre of exceptional, autonomous builders who are empowered to take ownership and drive swift progress. We are expanding our team to capture an extraordinary opportunity to establish a benchmark platform for medical AI.If you are a top-tier engineer or scientist eager to innovate at the forefront of technology and deliver meaningful results that affect millions of lives, we want to connect with you.CultureWe believe that work should reflect a world-class commitment. Innovating from 0 to 1 and scaling from 1 to 1000 is akin to a professional sport, and we set the bar at uncompromising excellence. We understand that groundbreaking technologies are only possible through complete ownership. Significant achievements arise when individuals take decisive action.Who are you?If you are seeking a typical 9-5 job or merely wish to write papers, this position is not for you. If you are ready to dive in, get hands-on, face challenges head-on, and create something impactful that can reach millions and generate significant revenue, this role might be your perfect fit.The ideal candidate is a brilliant builder—intelligent, driven, resourceful, independent, meticulous, motivated, hardworking, and humble. Does that sound rare? It is indeed rare; we currently have only 30 such individuals, and we are eager to find more.LocationAll full-time engineering roles require in-person attendance five days a week in San Francisco or Miami.

Role overview mercor is looking for a Software Engineer, Applied AI to join the team in San Francisco. This role centers on building software products that use artificial intelligence and machine learning to solve practical challenges. The team collaborates to design, develop, and improve solutions that make a real impact. What you will do Create software that uses AI techniques for real-world applications Collaborate with engineers and specialists to design and launch new features Support ongoing projects that push forward the capabilities of artificial intelligence Location This position is based in San Francisco.

Join Crusoe Energy, a pioneering company at the forefront of sustainable technology, as a Senior Staff Software Engineer specializing in SDN Networking. In this role, you will leverage your expertise to design and implement cutting-edge software solutions that enhance our networking capabilities. You will collaborate with a talented team of engineers to drive innovation and optimize our software-defined networking solutions for a variety of applications.

Astranis is at the forefront of space innovation, crafting advanced satellites for high orbits that extend humanity's capabilities within our solar system. Our satellites are designed to deliver dedicated and secure networks to highly sophisticated clients globally, including large enterprises, sovereign governments, and the US military. With five satellites currently in orbit and more on the horizon, we are addressing a backlog exceeding $1 billion in commercial contracts.We are recognized as the leading satellite communications partner for clients demanding exceptional uptime, data security, network visibility, and tailored solutions. Having raised over $750 million from top-tier investors such as Andreessen Horowitz, Blackrock, and Fidelity, our team comprises 450 skilled engineers and entrepreneurs. Our headquarters, spanning 153,000 sq. ft., is located in Northern California, USA, where we design, build, and operate our satellites.Senior Full Stack Engineer - Network SoftwareAs a Senior Full Stack Engineer specializing in Network Software, you will play a pivotal role in designing and implementing the software that powers our satellite and ground networks. The tools you develop will be essential for our customers to monitor satellite performance and for our internal teams to plan, design, and optimize our satellite networks and their capabilities.This position will significantly contribute to both commercial projects and US Government initiatives.RoleLead the architecture, development, and implementation of software for satellite and network management.Oversee backend and UI development for internal tools related to test infrastructure, mission control, and business operations.Create user-friendly web-based interfaces for telemetry dashboards, test orchestration, command execution, and workflow monitoring.Automate manual processes to enhance operational efficiency across engineering, network, and satellite operations.Collaborate closely with mission operations teams to create software that aids in the design, construction, and management of Satellites and Networks.Design high-performance, reliable, mission-critical software that transmits commands to space.Engage with multidisciplinary teams to define software requirements, architectures, and designs.RequirementsBachelor’s degree in Computer Science or a related technical field.7+ years of experience as a full stack developer in industry.Proficient in system-level architecture, software design, and implementation.

About FaireFaire is a cutting-edge online wholesale marketplace driven by the belief that the future is local. Independent retailers around the world generate more revenue than giants like Walmart and Amazon combined, yet individually, they often struggle against these behemoths. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs globally. Imagine your favorite local boutique; we empower them to discover and sell exceptional products from around the world. With the right tools and insights, we aim to level the playing field, allowing small businesses to compete effectively with large retail chains and e-commerce platforms.By fostering the growth of independent businesses, Faire is making a positive economic impact in local communities worldwide. We’re in search of intelligent, resourceful, and passionate individuals to join us in driving the shop-local movement. If you share our belief in community, we would love to welcome you to ours.About this Role:We are on the lookout for a Principal ML / AI Engineer to serve as a company-wide technical thought leader and practitioner in shaping the future of Data and AI at Faire. This unique opportunity allows you to influence broad technical strategies across data, engineering, and product while engaging directly with pioneering AI research and applications. This role will report directly to the CTO of Faire.Your Responsibilities:Shape the AI Vision – Collaborate with product, design, strategy & analytics, machine learning, and the wider engineering leadership to define how AI can unlock transformational value for Faire’s retailers and brands. Provide thought leadership to guide company-wide priorities, particularly focusing on product strategy and key investment areas.Prototype and Unblock – Lead the development and implementation of AI systems (such as LLM fine-tuning, RLHF, agent frameworks, etc.) that illustrate what’s achievable and promote adoption across teams. Act as a “super individual contributor” who can delve deeply into technical challenges, enabling the engineering organization to advance quickly with AI and amplify both development and impact.Architect the AI-Ready Stack – Design Faire’s technical ecosystem, encompassing event logging, data warehouses, feature stores, and model serving, to ensure our infrastructure is AI-ready, scalable, and optimized for rapid experimentation.

Join our dynamic team at OpenAI as a Software Engineer specializing in Workload Enablement. In this pivotal role, you will be responsible for designing and implementing innovative solutions that enhance our operational efficiency and performance.Your expertise will contribute to building scalable systems that empower our teams to harness the full potential of AI technologies. Collaborate with cross-functional teams to identify challenges and deliver cutting-edge solutions that drive our mission forward.

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.

At Benchling, we are transforming the biotech landscape for the AI era.When scientific breakthroughs are stalled, the world holds its breath. The journey from molecule discovery to patient treatment, or from laboratory innovations to agricultural fields, encompasses countless slow, manual, and uncoordinated procedures. AI holds the promise to revolutionize this process, significantly reducing R&D timelines from decades to mere years. However, this transformation is only achievable when clean, structured scientific data and AI are seamlessly integrated into scientific methodologies.Benchling serves as the premier AI platform for biotech R&D. Our platform empowers over 200,000 scientists globally, facilitating experiment design, structured data capture, and the execution of AI models directly within their workflows. Leading organizations, including Sanofi, Moderna, and more than half of the top 50 biopharmaceutical companies worldwide, trust Benchling to enhance their most critical research initiatives.ROLE OVERVIEWAs a Software Engineer on the Developer Enablement team, you will be instrumental in constructing the platform that empowers our network of scientific applications. Your role extends beyond mere coding; you will influence how developers, partners, and scientists engage with Benchling’s products, enabling the creation of tools that directly bolster groundbreaking research. Your contributions will redefine scientific workflows, fostering innovation and ensuring the seamless integration of third-party solutions across our platform.The team is focused on various early- to mid-stage initiatives, including developer APIs, event delivery systems, AI-powered agents, and enhanced platform infrastructure to support a burgeoning ecosystem of scientific applications. This diversity allows engineers the flexibility to pursue projects that align with both business objectives and their personal interests and skills. This role is envisioned as a “Developer Platform Engineer,” highlighting the expansive opportunities to contribute across our developer-facing systems.This role is hands-on and high-impact, where your contributions will be visible throughout the company and to our scientific users around the globe. You will collaborate closely with product managers, designers, and fellow engineers, tackling complex challenges while advancing your expertise in platform development and life sciences.

Join us at Foxglove, where we are revolutionizing the robotics industry by building robust data infrastructure for real-world applications.As robotics transitions from research environments to practical implementations in factories, warehouses, vehicles, and field operations, data becomes essential for engineers to troubleshoot failures, understand unexpected behaviors, and enhance robotic systems.At Foxglove, we provide the observability, visualization, and data infrastructure that enable robotics and autonomous systems teams to efficiently ingest, store, query, replay, and analyze extensive volumes of multimodal sensor data from live systems and production fleets.About the RoleWe are seeking a talented Applied Machine Learning Engineer with strong infrastructure insights to design, deploy, and scale the machine learning systems that power our data platform. In this impactful role, you will be responsible for optimizing production ML infrastructure—from enhancing inference pipeline throughput to establishing training and evaluation workflows. You will focus on high-priority challenges, such as developing retrieval applications for petabyte-scale multimodal robotics data, utilizing cutting-edge models to create high-performance search and data mining products, and fostering an internal ML flywheel for rapid iteration. This is a hands-on, application-driven position rather than a research-focused role.Key ResponsibilitiesDeploy and manage inference infrastructure for production ML workloads, focusing on model serving, scalability, and cost efficiency.Build and oversee vector database integrations and embedding applications to facilitate semantic search across various multimodal robotics data types (image, video, point cloud, and time series).Design and implement evaluation and training infrastructure to enhance model performance rapidly.Lead cloud architecture decisions and tools to optimize inference latency, throughput, cost, and reliability at scale.Collaborate closely with product engineers to deliver application-driven ML features that empower developers at the forefront of robotics and physical AI, steering clear of prototype experiments.Identify appropriate off-the-shelf solutions for production and determine when to build versus buy.

Role overview Meter Inc. is developing tools to capture and preserve the expertise of network engineers. The team’s goal is to build systems that document how experts diagnose network issues, making it possible for future models to manage networks with less manual effort. This work will help Meter support many customer networks while reducing the need for direct engineer intervention. What makes this work unique Network engineering lacks the structured archives found in software development. While Git and GitHub record software decisions, the reasoning behind network troubleshooting often disappears once a problem is fixed. This role centers on building a structured, searchable system for network operations, a kind of GitHub for network engineering. The system will capture network state, expert observations, and the logic behind key decisions. Your first 90 days First 30 days: Meet with network engineers to learn their workflows. Study what effective diagnostic documentation looks like and identify the necessary data. Review telemetry (ClickHouse), configurations (Postgres), and support history (Salesforce). By 60 days: Deliver a working annotation interface. Network engineers should be able to review past support tickets, view the network’s state during incidents, and record their reasoning. The tool should be practical and encourage regular use. By 90 days: Network engineers will be able to create training data independently. Initial model benchmarks from your pipeline will be live, showing how your work improves the process. Technical stack TypeScript React Go GraphQL Kafka Postgres Collaboration This role works closely with Meter’s co-founder and CEO, who will help guide the product roadmap and set priorities. Location This position is based in San Francisco.