Ai Ml Infra Systems Engineer in Seattle

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role builds the structured knowledge that collective intelligence reasons over. You own the KO (knowledge object) graph: the layer that turns a community’s scattered expertise into connected, queryable knowledge the COGENT architecture can use. You work where messy real-world data becomes trustworthy structure: ingesting, resolving, connecting, and modeling knowledge so reasoning has something solid to stand on. You partner closely with neuro-symbolic AI and applied AI, and you are the reason the platform can answer questions that span a community’s knowledge instead of isolated documents. Why this role exists Language models are fluent, but fluency is not knowledge. To reason over a community’s expertise with rigor, the platform needs that expertise structured, connected, and trustworthy, not just retrieved as text. Building a knowledge graph from real, fragmented sources is hard: entities to resolve, relationships to infer, quality to enforce, and provenance to preserve. The graph is only as good as the engineering behind it. The AI/ML Data and KO Graph Engineer builds that foundation. You turn scattered knowledge into a graph the COGENT architecture can reason

ML Postdoc Researcher - Healthcare AI Innovation Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote About Truveta Truveta is transforming healthcare by enabling researchers, clinicians, and life sciences organizations to learn from one of the most comprehensive collections of de-identified patient data in the United States. With access to longitudinal electronic health record (EHR) data from over 1 20 million patients (which represents over a third of the US population) , we are uniquely positioned to drive breakthroughs in clinical research and improve patient outcomes. This Opportunity We are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of cutting-edge AI/ML technologies on large-scale real-world clinical data. This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work at the intersection of machine learning, clinical data, and biomedical science , identifying new opportunities where modern AI can unlock insights that were previously out of reach. A key expectation is not just execution—but imagination : the ability to envision and prototype entirely new ways to use rich pa

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. We are evolving experimentation systems to help teams learn from product behavior and make better evidence-based decisions. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are looking for a Machine Learning Engineer to lead the technical direction for ML-powered experimentation and insights capabilities. You

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 The Radar ML team builds the machine learning systems that power Stripe’s Radar fraud and abuse product suite. Our models make real-time decisions across a significant share of internet commerce - helping businesses stop fraud, increase authorization, and grow safely. By turning economy-scale datasets into compelling ML products, the team directly improves customer outcomes and drives meaningful revenue for Stripe. The team is growing, and expanding into multiple new areas. We are building abuse protections across the full customer life-cycle, adaptive and customizable fraud systems for enterprises, and risk intelligence for 50+ global payment methods. What you’ll do You will own ML problems from conception to production: analyzing new fraud and abuse patterns, exploring large-scale datasets, experimenting with model architectures, designing evaluations, deploying models, and monitoring performance. Your work may include developing transformer architectures for payment data, building graph-powered intelligence across consumers, leveraging LLMs to detect emerging attacks, or rapidly prototyping new protections with frontier AI labs. You will have opportunities to ship 0→1 products, and to improve mission-critical ML models operating at Stripe scale. Responsibilities Build, train, evaluate, and deploy models that detect fraud and abuse across Stripe’s global network. Investigate emerging fraud and abuse patterns, identify whe

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team The Dialog Understanding and Generation team is building the industry's most advanced agentic AI capabilities for revenue orchestration, the end-to-end coordination and execution of sales and customer engagement workflows. Our mission is to transform raw customer interactions and CRM data into structured intelligence that powers the entire revenue lifecycle. We operate at the intersection of machine learning, LLM-powered systems, and cloud-scale engineering, driving both current and next-generation AI initiatives at Outreach. We are a team of applied data scientists who thrive on solving complex scientific and engineering challenges. The work is roughly an even split between applied ML research and production engineering, so you should be excited about both. You'll collaborate closely with exceptional engineers and product managers in a fast-moving, high-impact environment, applying your creativity and expertise to build innovative solutions that push the boundaries of agentic AI. Your Daily Adventures Will Include: <li aria-setsize="-1" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Community team builds products that allow creators to build and grow communities on Twitch. Our products span across creator and viewer journeys. As a Senior Product Manager on the Discovery team, you will own the experience that helps viewers find creators worth coming back for, across search, browse, and serendipitous discovery in the live feed. Your work will focus on helping viewers form their first creator connection and every connection after it, because that bond is what turns an occasional visit into a daily habit. You will be the voice of the viewer for recommendations: defining what viewers want, surfacing what they are not seeing but should, owning the discovery roadmap, and partnering with our ML teams to turn those needs into better ranking and relevance. You will define and execute a product strategy grounded in customer needs, working closely with applied science, design, and engineering to ship and measure your way there. Our team is based in San Francisco, CA but you can work from San Francisco, CA; New York, NY; Irvine, CA; Los Angeles, CA or Seattle, WA. You Will: Own the discovery experience across search, browse, and the live feed, helping viewers find creators worth returning for and form their first connection and every one after it. Define what viewers want fro

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the Role We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI’s core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company. You’ll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems. You’ll also help translate advanced statistical concepts into pragmatic systems and product experiences that teams can actually use. This is a highly technical individual contributor role with significant influence across methodology, platform architecture, and experimentation best practices. The ideal candidate combines deep statistical expertise with strong systems intuition and hands-on experience building or operating experimentation platforms at scale. In this role, you will: Drive the statistical direction and technical strategy for OpenAI’s experimentation platform Design and improve experimentation methodolo

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: Apply causal inference methods where experimentation isn't feasible Develop models and analyses that inform pricing, segmentation, and revenue optimization Design, run, and analyze A/B experiments Pa

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns the quality of the models at the core of Sapience AI. You define, lead, and perform the training, reinforcement, and evaluation that turn open-weight foundation models into systems that reason well over a community’s knowledge and earn members’ trust. You work where research, data, and engineering meet: training and fine-tuning open model weights, reinforcing them toward the behavior communities need, and holding a rigorous evaluation bar that says, with evidence, whether a model is good enough to ship. Your work feeds directly into the COGENT architecture and the MINERVA platform. You are both a leader and a practitioner. You set the standard for what model quality means at Sapience AI, and you do the hands-on training, reinforcement, and evaluation that meet it. Why this role exists Collective intelligence is only as trustworthy as the models beneath it. If a model reasons poorly, drifts from the truth, or cannot be evaluated honestly, every system built on it inherits that weakness, and the trust communities place in the platform erodes. Training and reinforcing open-weight models well is a discipline in its own right: choosing the r

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Platform Security team (PlatSec) defends Plaid against attackers. We own laptop security, cloud security, AI security, detection and response, and red teaming. Right now we're in growth mode. AI has expanded Plaid's attack surface faster than most security teams can adapt, and we're building the guardrails, identity controls, and detection systems to keep pace without slowing the business down. If you like solving problems nobody's solved yet, this is that team. About the role You'll be Plaid's first line of defense on AI security. You'll review new AI technologies to find security risks before they ship, then design and implement the controls that close them. You'll build the guardrails, identity management, and detection systems that let Plaid use AI aggressively without getting burned. Responsibilities Review AI systems and integrations for security risk before and after deployment. Design and deploy guardrails, sandboxes, and other controls that contain what AI agents can do. Build or implement systems to track and manage AI identities, so we know what access every AI has been granted and can balance risk with agility. Detect and mitigate prompt injection across Plaid's AI

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 building an internal AI platform that will change how employees across the company work. It combines models, enterprise context, tools, memory, governed capabilities, and an extensible agent harness so teams can move beyond chat and apply AI to meaningful business workflows. You will work with the AI Platform engineering team, product leader, and subject-matter experts across the company. You will help departments reimagine how their work gets done, build the first workflows that make that future real, and turn what you learn in the field into durable platform capabilities. Because you will be the first person in this role, you will also define what forward deployment means at SoFi: how we discover opportunities, onboard departments, build and evaluate workflows, measure outcomes, support users, and translate repeated needs into platform investments. Your work will establish the technical and operating foundation for a broader AI enablement capability. This role does not have a playbook. It is an opportunity to write one and to define how applied AI changes the way work gets done across SoFi. This is a rare opportunity to shape both an enterprise AI platform and the organization that brings it to life. What You’ll Do You will operate as a product-minded engineer, platform architect,

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Product at Brex The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential. Unlocking AI Agents for the Finance Admin Companies buy Brex to run their spend, and the person on the hook for that is the finance admin — a controller, an accounting manager, a finance ops lead. Their job comes down to two things they can never quite get ahead of: making sure money is being spent compliantly and documented in time to close the books, and knowing where the company's money is actually going. Today t

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Customer Experience at Brex The Customer Experience team is the connective tissue between Brex’s product and the companies that depend on it every day. We don’t just resolve issues — we surface insights, close feedback loops, and help shape the product roadmap. As Brex becomes an AI-native company, our CX organization leads that shift: building the systems, metrics, and workflows that let AI handle routine complexity while humans focus on judgment and relationships. We measure success not by tickets closed, but by customers who don’t need to contact us in the first place. What you’ll do Brex is looking for an experienced AI operator & leader to own the strategy and execution of AI-powered customer experience. You’ll lead the team responsible for Brex’s AI customer service platform — optimizing instruction sets, driving quality, and expanding AI across chat, voice, and email. You’ll also own the internal side of the equation: build

We are seeking an innovative, customer-focused leader to drive the AI Platform product area at Talkdesk. As the Principal Product Manager, you will be at the helm of shaping a platform that powers AI-driven solutions for the future of customer engagement. You will collaborate with designers, engineers, GTM teams, and the executive leadership to build cutting-edge AI capabilities that accelerate growth and lead to market leadership. In this role, you will oversee a mix of strategic product leadership and people management, with the opportunity to guide both product innovation and team development. As a key partner to our GTM teams, you’ll serve as the face of the AI platform, engaging with customers, prospects, and partners to drive adoption and success. Job Summary: The Principal Product Manager is responsible for leading the development and management of complex products from ideation to launch. This includes defining product strategy, conducting market research, developing product roadmaps, and collaborating with cross-functional teams to ensure successful product launches. The Principal Product Manager is a senior leader who provides guidance and direction to other product managers and technical staff. Duties and Responsibilities: Lead the development and management of complex products, from ideation to launch, ensuring they are completed on time, within budget, and meet quality standards Work closely with cross-functional teams, including engineering, design, sales, and marketing, to ensure that all aspects of the product are aligned Develop and maintain product roadmaps and feature backlogs, and track progress against milestones Conduct market research and gather customer feedback to identify customer needs and pain points, and use this information to inform product decisions Develop and maintain strong relationships with customers and other key stakeholders, in order to identify critical use cases that can be solved by AI solutions and gather feedback to impro

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