About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Protecting Flexport's global operations and assets, enabling secure trade worldwide. The opportunity: Join Flexport's dynamic Compliance Program as the Senior Manager, Supply Chain Protection & Loss Intelligence. This critical role serves as the single point of accountability for both supply chain protection and loss prevention across Flexport's entire footprint — offices, fulfillment centers, and partner sites worldwide. The Manager will be responsible for protecting Flexport employees, visitors, assets, and facilities through the design and execution of security programs, while simultaneously driving a proactive loss prevention strategy across the Omni fulfillment network. Day-to-day, this means managing a team of 50+ contracted security officers across multiple locations, overseeing electronic security infrastructure (CCTV, access control), conducting investigations, and managing the security ticketing system. Strategically, it means building the analytical foundation to identify loss trends and security gaps before they become incidents, authoring the policies and SOPs that standardize how Flexport protects its people and assets globally, and ensuring every
Jobs in United States
Senior Staff Machine Learning Engineer Platform Identity in United States
86 active opportunities · Updated October 2026
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15 jobs
Explore current senior staff machine learning engineer platform identity jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.
Hiring demand
45/100
steady · 79 related jobs
Hiring trend
-91.4%
Job postings compared with the previous 30 days
Remote options
34.2%
Share of matching jobs listed as remote
Typical salary
$189.3K – $189.3K/yr
Based on 10 salary observations
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Brand Studio lays the foundations that help Stripe accelerate. We do this by creating, evolving, and maintaining Stripe's high-quality, versatile, and forward-looking brand design systems, experiences, and advertising campaigns. We sweat the details. We make it seem effortless. The Experiential team is responsible for bringing Stripe's brand to life in the real world, from flagship events and industry conferences to internal summits and curated partner experiences. This team operates at the intersection of creativity, strategy, technology, and production. What you’ll do Senior Brand Designers at Stripe demonstrate a passion for the craft of design and a deep understanding of how design communicates brand essence. You will be responsible for defining and advancing Stripe's experiential design systems across physical experiences, digital surfaces, and mainstage creative content. You work at the intersection of design systems, concepting, and storytelling, creating design frameworks that scale while still feeling intentional and human. The ideal candidate is technically fluent, conceptually strong, crisply articulates design decisions, and collaborates seamlessly with creative directors, producers, marketers, communications, and engineering partners. Responsibilities Lead the end-to-end design of experiential programs, from early concepts and storytelling through detailed design, production, and launch. Translate Stripe’s brand and product
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi is looking for an experienced leader with a builder mindset to shape our next chapter of learning & development. You’ll bring a strong point of view on modern L&D practices, and turn it into the right strategy and capabilities for SoFi. This is a hands-on role for someone who thrives in a fast-paced, ambiguous environment, and can set clear direction while building. What you'll do Build and lead SoFi's enterprise L&D capability Define our enterprise learning strategy and build a lean, agile team to deliver it. Set clear priorities for where L&D can have the greatest impact. Build strong partnerships with learning teams across SoFi, connecting and strengthening the expertise that already exists throughout the company. Advise the business and build critical capabilities Consult on complex learning and performance needs, and identify where learning can meaningfully improve business outcomes. Lead learning strategy and experience design for select enterprise and business-critical initiatives, working with subject-matter experts to create learning that drives understanding, skill building, and behavior change. Shape the enterprise learning experience Set the strategy for Workday Learning and SoFi's broader learning ecosystem. Establish standards, tools, and best practices that make
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Design, build, and maintain high-scale, distributed systems to work with the company. Work within a team to build the core networking solutions, which include load balancing, mTLS networking, fleet health & observability used by product teams to build and operate microservices supporting the company’s business. Build a great customer experience for internal company teams using Infra and play a key role in enabling the company’s Infra to power all of the company’s products globally and at scale. Scope, design, implement, and deploy robust solutions, making appropriate tradeoffs between reliability, throughput, latency, resiliency, engineering, velocity, and cost. Innovate, design, and implement software solutions that contribute towards improvement and resiliency, reliability, efficiency, and management at scale. Contribute to team strategy, roadmap, tooling, process, and culture. Set clear goals and provide regular feedback on team member performance. Who you are Minimum requirements Must have a Bachelor's Degree or foreign equivalent degree in Computer Science, or a related field, plus five (5) years of post-bachelor's progressive work experience in software engineering. In the alternative, the employer is willing to accept a Master's Degree or foreign equivalent in Computer Science, or a related field, plus three (3) years of experience in Software Engineering. Must a
Who we are About Stripe & Link At Stripe, we’ve spent the last 15 years building financial infrastructure for the internet, serving millions of people and businesses worldwide. Our flagship consumer product, Link, makes online payments and digital transactions effortless and secure—the digital wallet for what’s next. This is a unique opportunity to continue building a standalone brand and introduce it to new global audiences. You’ll play a key role in making payments more personal and convenient while doing some of the most impactful work of your career. About the team Sitting within Brand Studio, the Link team is building Stripe’s first consumer brand. We build, evolve, and maintain a versatile, forward-looking visual identity system and find clear, fresh ways to apply it across surfaces. The brand designers on our team are multidisciplinary: they design robust visual systems, lead art direction, and craft surfaces that prioritize brand and product storytelling. Working with cross-functional teams across Stripe and external partners, we set the vision and execute to a high quality bar. Our work shows up IRL, online, and everywhere between. What you’ll do You’ll be joining a highly creative team that spans anywhere from developing storytelling to creating digital tools, brand systems to rapid ideation. The work is highly experimental, idea driven, and very collaborative and cross-functional. Responsibilities Be an adamant maker that is genuinely curious, experimental, and loves to tinker, iterate quickly, and innovate on ideas, narrative, and making beautiful things Contribute to raising the team's standards and culture of craft through the quality, clarity, and consistency of your own work Elevate and shape a brand system that is flexible enough to work across various surfaces and exemplifies Stripe’s commitment to craft & beauty Collaborate with like-minded creative people who have radically different skill sets and together create ideas that
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Perception ML Operations team sits at the center of how Nuro's vehicles learn to see. We are responsible for the training and evaluation data that powers perception models across every sensor modality: vision, lidar, radar, and beyond. We work alongside ML engineers, product owners, data engineers, and external labeling partners to turn ambiguous, fast-moving requirements into data deliverables the Perception team can build on with confidence. This is a team that operates at the intersection of ML urgency and operational discipline. Here is what the work actually looks like day-to-day: Sitting in a roadmap review, hearing a new feature requirement land, and walking out with a concrete data collection and labeling plan already scoped against timeline and budget. Reviewing vendor throughput against milestone dates and catching a capacity gap before it would become a release risk. Querying pipeline data directly to unders
At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Customer Care team is at the forefront of building intelligent AI agents that transform how Lyft delivers customer support. As AI capabilities evolve rapidly, we're moving beyond traditional automation to create AI agents that can understand complex customer needs, make intelligent decisions, and resolve issues with human-level quality. This team works cross-functionally to design, deploy, and scale AI agents that handle real customer conversations and empower our human agents with more information to solve issues. They work alongside our support ops and insights teams to create exceptional experiences when our customers need help most. Responsibilities: Build and optimize AI agents that handle customer support interactions across chat and voice channels Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors Write, test, and refine prompt logic and conversation flows for specific customer use cases Partner with support operations teams to understand workflows, pain points, and opportunities Run rapid feedback loops between customer interactions and product development to continuously improve agent performance Serve as the in-house expert on AI agent development,
Sr Software Engineer - Distributed Systems Engineer, EDA Infrastructure NVIDIA is hiring engineers to build and scale the infrastructure that supports our Electronic Design Automation (EDA) workloads. We are looking for engineers with strong programming skills, a deep understanding of distributed systems, experience operating large-scale production infrastructure, and excellent communication and planning abilities. You will help design reliable automation and platform services that manage large fleets of GPU-based and CPU-based compute systems used by engineering teams across NVIDIA. The ideal candidate is comfortable working across software, operating systems, cluster schedulers, networking, storage, and physical hardware. You should enjoy solving complex operational problems, eliminating repetitive work through automation, and building systems that remain reliable as infrastructure grows. If you are creative, pragmatic, and motivated to improve how critical engineering workloads are delivered, we would like to hear from you. What You Will Be Doing: Design and build platforms that automate the provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure. Develop monitoring, health-management, and remediation systems that improve the reliability, availability, and utilization of EDA compute environments. Automate hardware deployment, operating-system configuration, firmware and software updates, cluster enrollment, and recovery workflows. Build reliable services and workflows that integrate with workload schedulers, infrastructure management systems, and observability platforms. Use hardware diagnostics, operating-system signals, scheduler data, and network and storage telemetry to identify
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We’re looking for a Technical Program Manager (TPM) to drive cross-functional alignment and execution for AI Platform programs at Nuro. This role sits at the intersection of Systems Engineering, Platform, Data Science and Autonomy teams - focused on delivering scalable and reliable verification & validation (V&V) tools that enable systems readiness for driverless deployment . You’ll own the end-to-end lifecycle of systems tooling initiatives: defining requirements, managing priorities, coordinating integration with simulation and autonomy stacks, and ensuring test and validation infrastructure meets the evolving needs of driverless programs. About the Work Own the reliability metrics that gate driverless readiness and drive them to target. Serve as the primary interface across AI Platform, Systems, Hardware, and Vehicle Ops, running the operating cadence that keeps reliability work aligned and moving. Build and mai
NVIDIA is looking for a Systems & Software Engineer interested in building and running reliable large scale infrastructure platform services. In this role you will create and support automation that manages infrastructure, as part of our organization running EDA platforms atop of NVIDIA hardware. What you’ll be doing: Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals Build and maintain automation to eliminate manual toil and scale output without scaling effort Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation Consult with and provide consultation for peer teams on systems design best practices What we need to see: BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience Experience coding in Python and/or Go. Note : you must be able to produce code without AI assistance during the interview process. Experience with infrastructure automation and distributed systems design Experience developing tools for running large scale private or public cloud systems in production In depth knowledge of Linux systems and Containers A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others. <
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Design and build internal products used daily by engineering, product, and cross-functional teams across Stripe. Own end-to-end systems—spanning frontend, backend, data, and integrations—that remove bottlenecks and meaningfully increase product development velocity. Collaborate with partner teams to understand workflows, define requirements, and build tools that improve iteration speed, quality, and clarity in the product lifecycle. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Software Engineering, Information Systems or a related field, plus five (5) years of post-bachelors progressive work experience in software development, or a related occupation. Must also have five (5) years of experience with/in each of the following: Designing, developing, testing, and maintaining full-stack or backend web applications; Programming language including Java, Go, Python, Ruby, TypeScript, or JavaScript; Building and consuming REST or gRPC APIs; Working with databases including PostgreSQL, mySQL, or NoSQL systems; Cloud environments including AWS, or GCP; Frontend frameworks including React, Vue or building product UIs; Owning large components or projects and driving alignment with cross-functional partners; and Debugging. Salary: $206,086 - $285,600/yr This salary range represents the base salary range for the role and any sale
Managing twenty-five scheduler cells by hand does not scale, and we are not going to try. NVIDIA is building a config-as-code foundation for its EDA compute farm, and we need an automation engineer to own it end to end. You are joining at the point where this is still partially manual and inconsistently applied across cells. That is the interesting version of the problem — you will be migrating off partial systems and reconciling drift, not starting from a blank repository. What you'll be doing: Designing and owning the configuration schema for LSF cell deployment, so that a policy change is written once, reviewed, tested, and applied identically everywhere it belongs. Building the deployment pipeline that takes scheduler configuration from merge to production across a federated estate, including staged rollout and rollback. Eliminating configuration drift across cells, and building the tooling that keeps it eliminated. Standing up the regression suite that lets us upgrade LSF on a schedule rather than on a dare. Working alongside our LSF internals engineer to encode hard-won scheduler knowledge into templates and policy, so that expertise lives in the repository instead of in one person's head. What we need to see: BS or MS in Computer Science or equivalent experience. 6+ years in infrastructure engineering with strong config management depth — Ansible, Salt, Puppet, Chef, or comparable. Real experience with GitOps practice at scale: review workflow, environment promotion, drift detection, and safe rollback. Proficiency in Go, Python and shell, and comfort building the tooling rather than only using it. Exper
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders. Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams. Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions Deliver scalable, reliable
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders. Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams. Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions Deliver scalable, reliable
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our Client Infrastructure team is dedicated to building software that addresses challenges at a large scale, ensuring that our mobile applications are stable, scalable, and efficient. As a Mobile Engineer on the Mobile Foundations team, you will create and maintain foundational systems that all Lyft mobile engineers rely on, enabling teams across Lyft to deliver rich experiences that connect people and places. You will build scalable infrastructure, helping developers move fast and innovate, while ensuring Lyft's mobile developer experience remains at the forefront. Your work will have a multiplicative effect across Engineering and contribute directly to Lyft's overall stability. Our apps are used by millions of people, and we take great pride in our work, which means adhering to excellent development practices, careful code architecture, and an organization built around rapid releases. Our codebase is written entirely in Swift, utilizing modern design patterns and coding standards. We rely on third-party libraries and actively contribute back to the community, including the Swift language itself. Who are you: You are an enthusiastic and experienced mobile developer looking to use your engineering skills to improve developers’ ability to ship new features quickly. You get excited about new Swift features and compile improvements. You find delight in building the foundations and frameworks to accelerate the development of others, hiding away the complexities of the system. You are a diplomat who looks at the landscape and aligns engineers from different teams around a common pattern. You are excited about scaling millions of lines of Swift code to hundreds of mobile developers. You take initiative to identify and improve processes and solve problems proactively. You take pride in writing clean, mainta
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