People.ai jobs

TEVV/ AI Assurance Engineer Arlington, VA At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work As a TEVV / AI Assurance Engineer, you will play a pivotal role in advancing operational AI adoption within a cutting-edge Hub-and-Spoke architecture. Your responsibilities will center on supporting the testing, evaluation, verification, and validation of AI systems, with a strong emphasis on adversarial and responsible AI testing. Key responsibilities: - Design, implement, and maintain AI evaluation frameworks to ensure robust model performance and reliability - Conduct adversarial and prompt injection testing to identify vulnerabilities and strengthen AI system defenses - Perform regression validation and responsible AI testing to ensure compliance with governance and ethical standards - Develop and execute operational assurance and AI teaming activities to proactively assess system resilience - Build and manage automated evaluation pipelines and continuous validation workflows for scalable

Machine Learning Research Engineer, Agents - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: - Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers. - Research cutting edge algorithms to integrate directly into our training stack. - Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets - including defining highly performant

Technical Account Manager II Bangalore, Karnātaka, India Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission At UiPath, we believe automation is evolving beyond task execution into intelligent, agentic transformation that reshapes how enterprises operate and how people work. We're building the world's leading platform where AI agents, robots, people, and systems work together seamlessly to unlock productivity, innovation, and better business outcomes at scale. Making that vision real requires people who are curious, adaptable, and driven by impact. People who thrive in fast-moving environments, embrace new ideas, and continuously push boundaries. Most importantly, we look for people who care-about customers, about each other, and about shaping the future of enterprise AI and automation together. Could that be you? How would you like to help the world's largest organizations transform the way they operate through agentic automation and AI-powered workflows, empowering employees to focus on higher-value work and achieve their full potential? As part of our Client Success team, our Technical Account Managers partner with customers to accelerate platform adoption, operational excellence, and business transformation through the UiPath Platform. Our UiPath Client Success team

Product Designer San Francisco, California, San Francisco, California, United States, New York, New York Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About Us: Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email-with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work

AI Builder - Full Stack Madrid; Valencia Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. About the Role 📍Hybrid from Madrid or Valencia You will engineer the core of our proprietary internal platform that democratizes AI across the company. This is not a standard full-stack role maintaining existing systems, you will build the factory that enables other teams to create autonomous AI Agents. You will design Chain of Thought reasoning flows, integration layers, and agent logic that allow AI to execute complex business tasks at scale. This is applied AI engineering: no model fine-tuning, just sophisticated system design and relentless execution. You

Vice President, People San Mateo, CA (Hybrid) About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we're growing fast. Backed by top investors: We've raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We're on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. What You'll Do: - Build and provide guidance to the People function by overseeing talent acquisition, career development, succession planning, retention, training, leadership development, compensation and benefits globally - Function as a strategic business advisor to executive and senior management regarding

Staff Machine Learning Engineer United States (Remote) Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include: - Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems. - Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance

Forward Deployed AI Integrator, Data Center Engineering Hermiston, Oregon, USA AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Field Engineering teams across AWS are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. These efforts are happening organically - driven by motivated engineers across regions. The opportunity now is to systematically scale what's working and embed dedicated AI integration capability directly within each regional Field Engineering team. The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This role embeds directly with regional FE teams to identify high-value workflow opportunities, drive hands-on adoption

Member of Technical Staff - Responsible AI (CoreAI) New York, NY, US, Redmond, WA, US, Mountain View, CA, US, Boston, MA, US

AI Automation Engineer USA - Denver About Ping Identity: At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it. Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear. While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work. We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management. The Role Ping Identity is seeking a technically strong, hands-on AI Automation Engineer to join the Data & AI team within the Office of the CIO. This is a builder role - you won't just configure platforms, you'll write code, design custom agent architectures, and deliver production-grade AI automation that drives measurable business impact across the enterprise. As our second AI Automation Engineer, you'll work alongside

AI Growth Architect San Francisco, California, United States Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes. From Fortune 10 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We're also co-building alongside leading AI companies. A small, select group of growth operators sit at the core of our company. These minds shape how Hilbert's intelligence layer evolves, how customers grow, and how the company goes to market. THE ROLE Your responsibilities look like those of a founding operator embedded simultaneously inside a high-stakes product and commercial organization. You run Hilbert on real problems: you are expected to be its most demanding internal user, finding where the product's reasoning breaks down, challenging its outputs, and feeding that back into the intelligence layer as structured improvement input. Core Responsibilities - Run Hilbert on live growth problems, identify where its reasoning can do better, and translate those findings into structured input for the intelligence layer in coordination with product and tech teams - Translate hard-won B2C growth experience into the patterns, failure modes, and counter-intuitive signals that shape how the product detects, reasons, and acts - Work with Account Executives to turn Hilbert's output into concrete growth strategies for key accounts, from cohort analysis to LTV intervention to channel reallocation - Follow customer's growth with Hilbert,

Researcher, Agent Post-Training, API & Power-Users San Francisco, California, United States About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of this API & power-users team, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models for power users and API developers. You might design evals from real developer workflows, build training environments around production-like tool use, turn qualitative model failures into training data, evals, or post-training interventions, or drive a behavior improvement from discovery through post-training, integration, and launch. This role is intentionally broad. The strongest candidates are comfortable turning ambiguous model behavior problems into concrete progress, whether that means improving tool

Developer Relations Evangelist San Francisco Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we're looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $500K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares

Senior Software Engineer, Data Infrastructure Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Software Engineer to join our team and build the data pipelines and infrastructure that powers real-world AI evaluation. You'll play a crucial role in designing and building the data pipelines that process and analyze tens of millions user

Developer Education Lead San Francisco, California, United States About the Team OpenAI's Developer Experience team helps developers, startups, and organizations around the world understand and build with frontier AI. Our mission is to make it seamless and delightful for builders to integrate AI into applications, workflows, products, and companies, and to give them the tools, resources, examples, and support they need to unlock AI's full potential. We create inspiring demos, sample applications, technical content, learning experiences, and developer programs that show what is possible with Codex, the OpenAI API platform, ChatGPT, and frontier models like GPT-5.5. The work spans product education, launch storytelling, hands-on teaching, and AI-native examples that help people move from curiosity to real-world fluency. We collaborate closely with product, engineering, research, GTM, communications, and community teams to make the journey from first exposure to production adoption clear, effective, and memorable. As capabilities change quickly, we help users build durable mental models that transfer across products, models, and new ways of working. About the Role We're looking for a Developer Education Lead to define how people learn to work with OpenAI's products at the frontier of AI. The pace of model and product progress means that what is possible can move faster than what people understand how to use. This role turns that gap into a rigorous, creative education strategy for developers, teams, and organizations learning to build with AI. You will own the strategy for educating builders and organizations across OpenAI's ecosystem, from developers adopting APIs and

Senior AI Engineer - Bits AI Security Analyst Paris, France At Datadog, we're on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We're looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths Collaborate with Product, Design, and partner teams to build cohesive experiences Prototype and see what works well, iterate closely with our users and experts, and then ship Follow the latest research on GenAI and AI agents Who You Are: You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience You're a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You've shipped software that uses LLMs to production You want

ServiceNow Futures Summit - SWE Experience West Palm Beach, Florida, United States Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description: It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. About This Event ServiceNow is hosting a one-day, immersive career exploration event, in West Palm Beach, FL, designed for early-career professionals who are curious about Software Engineering (SWE) careers in enterprise

Senior AI Engineer SAN JOSE posted: Posted 2 Days Ago

Sr. Technical Program Manager, AWS Infrastructure Services (AIS) Material Optimization Austin, Texas, USA AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. AWS Infrastructure Services (AIS) is seeking a Senior Technical Program Manager (Sr. TPM) to join our Material Optimization team. This role will drive high-visibility, large-scale, innovative system solutions for our AIS supply chain systems used to fulfill server and networking racks globally. As the Sr. TPM, you will act as the business leader to identify improvements for AIS Supply Chain systems, perform A/B Analysis to Best In Class Systems, identify system requirements, align success metrics, drive change management, and partner with Software Development teams.

Member of Technical Staff, AI Agent Development Lead San Francisco, California, United States Who Are We? Postman is the world's leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration-enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As a Member of Technical Staff and AI Agent Development Lead, you will lead the design, development, and deployment of next-generation AI agents that interact with users and complex environments. You will drive the architecture and implementation of scalable, reliable AI systems, working closely with research, product and engineering teams to build safe, interpretable, and performant AI technology. What You'll Do - Lead a cross-functional engineering team focused on AI agent development, from conceptual design to production deployment. - Design and implement AI agent architectures leveraging state-of-the-art language models and associated technologies. - Collaborate with research scientists on scalable experiments and productize research innovations. -

Forward Deployed AI Integrator, Field Engineering Herndon, Virginia, USA AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Field Engineering teams across AWS are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. These efforts are happening organically - driven by motivated engineers across regions. The opportunity now is to systematically scale what's working and embed dedicated AI integration capability directly within each regional Field Engineering team. The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This role embeds directly with regional FE teams to identify high-value workflow opportunities, drive hands-on adoption of

Embodied AI Robot System Intern PRC, Beijing posted: Posted 30+ Days Ago

Machine Learning Scientist - Open Source Lead Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is looking for a Machine Learning Scientist to lead our open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open. You'll design, run, and share new methods and

Lead Client Partner Retail / e-Commerce New York, NY, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About the Role Pinterest is where people come to find inspiration and, increasingly, to buy. As a Lead Client Partner for In-App Shopping, you will own one of Pinterest's most strategic and highest-visibility partnerships, serving as the connective tissue across Pinterest's full suite of shopping and ads programs. This is