Ai Ml Infra Systems Engineer in Seattle

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

RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. The impact you will have: You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. You will define how Repos integr

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

At Lyft, our mission is to improve people's lives with the world's best transportation. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. About the Team 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. About the Role 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 priori

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. What you’ll do As a Product Leader at Brex, you will be the driving force behind our Growth Product team — overseeing the thoughtful strategy and execution of team and technical systems to drive customer acquisition and onboarding. You will also collaborate closely with our Go-to-Market (GTM) teams to ensure seamless acquisition and onboarding for customers, particularly those with significant and complex spending n

RDQ427R542 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Are you the person who is already at every AI meetup in the Bay Area — not to be seen, but because that's where the interesting conversations are happening? Are you a hands-on practitioner in generative AI, agents, and MLOps who can hold your own in a room full of AI engineers and leave them with something they can actually use? As a Senior Developer Advocate for AI and Machine Learning, you'll be the voice of Databricks in the Bay Area AI community and a crucial link between our engineering teams and the global community of data scientists and AI engineers. You'll focus on how practitioners build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform — with particular depth in Genie Agents, Genie Code, Genie One, MLflow, and Databricks Unity AI Gateway. You'll translate what you learn from customers and the community into reference implementations, demos, and content that are production-ready rather than merely impressive on stage. This is a role for someone who wants to be in the room. San Francisco and the wider Bay Area are the densest concentration of AI practitioners in the world, and we want Databricks to be present and useful in that community — at meetups, hack nights, demo nights, founder dinners, and the hallway conversations around them. You'll build genuine relationships with the people building the future of AI here, and you'll bring what you hear back to our pro

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 a product area end to end. Where the product marketer is the market lens, you are the person accountable for what we build, how it works, and whether it ships and succeeds. You lead a cross-functional team of engineers, designers, and applied AI specialists to turn strategy into a product members rely on. You own the roadmap for your area, the decisions inside it, and the outcomes it produces. You work at the center of the product organization, translating a clear point of view into shipped work that moves MINERVA and the COGENT architecture forward through each GR/GA milestone. Why this role exists In an AI market where capabilities can be copied in weeks, the advantage goes to teams that decide well and ship fast. Someone has to hold the point of view, make the calls, and keep a team building the right thing. Collective intelligence is hard product work: reasoning over messy knowledge, earning member trust, and fitting into how communities already operate. It needs an owner who can hold both the ambition and the details. The Senior Product Manager is that owner. You set direction for your area, make the hard prioritization calls, and are accountable fo

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 is a research role focused on the models at the foundation of collective intelligence. You study, adapt, and advance the foundational models that power how Sapience AI understands language, knowledge, and reasoning. You work where research meets the platform: designing experiments, evaluating models, adapting them to the demands of professional communities, and feeding what you learn into the COGENT architecture and MINERVA. You bring scientific rigor to a fast-moving field, and you turn that rigor into advances the product can actually use. Why this role exists The quality of collective intelligence depends on the models beneath it. How well the platform understands a community’s language, grounds its answers, and reasons over knowledge starts with foundational model work done well. The field moves quickly, and not every advance is real or ready. Someone has to separate genuine progress from noise and turn the real advances into something the platform can rely on. The Foundational Model Research Data Scientist does that. You run the experiments, evaluate honestly, and translate frontier progress into dependable capability for Sapience AI. What y