Senior Ai Ml Architect Jobs

About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. We aim to fundamentally advance our capabilities for precisely implementing robust, safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to enforce nuanced safety policies without trading off helpfulness and capabilities, how to make the model robust to adversaries, how to address privacy and security risks, and how to make the model trustworthy in safety-critical domains. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with passion for AI safety and experience in safety research. Your role will set directions for research to enable and empower safe AGI and work on research projects to make our AI systems safer, more aligned and more robust to adversarial or malicious use cases. You will play a critical role in shaping how a safe AI system should look like in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more. Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products. Set the research directions and strategies to make our AI systems safer, more aligned and more robust. Coordinate and collaborate with cross-functional teams, including T&S, legal,

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a social media manager to own how Baseten shows up on social. Our audience is ML engineers, infrastructure teams, and technical founders, and most of them meet us first on X or LinkedIn, around a model launch, a benchmark, an open source release, or a customer result. This role decides what that first impression is. This is a senior individual contributor role. You set the strategy and you write the posts. Day to day you'll work with product marketing, comms, design, our engineers, and our founders. This role relies on technical credibility. You don't need an engineering background, but you do need to understand what we're claiming and why it matters. We post about latency, throughput, and GPU cost, and we hold ourselves to getting those details right. RESPONSIBILITIES This role is the face of the Baseten brand on our social channels and builds our direct line of communication with the community across X, LinkedIn, YouTube, and the communities where our audience already spends time. Track the conversation across AI and open source, and move quickly when we have something useful to add. Set the social strategy: what we post where, how each account grows, and how we measure it, with a clear point of view on which channels deserve investment and which don't. Translate technical work into posts worth sharing: model launches, benchmark results, open source projects, engineering deep dives, and custo

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see opportunities, and optimize their investment strategies. Addepar is building solutions to support our clients' alternatives investment strategies. The alternatives data management product is a serverless, modular and terraformed stack. We're hiring a Senior Software Engineer to design, implement and deliver modern software solutions that ingest and process ML-extracted data. You will collaborate closely with cross-functional teams including data scientists and product managers to build intuitive solutions that revolutionize how clients experience alternatives operations. You will work closely with operations engineering on document-based workflow automation and peer engineering teams to define the tech stack. You will iterate quickly through cycles of testing a new product offering on Addepar. If you've crafted scalable systems, or worked with phenomenal teams on hard problems in financial data, or are just interested in solving really

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join Coinbase's Machine Learning team and work alongside senior engineers building ML models and pipelines that make our platform more secure, personalize user experiences, and unlock new use cases for crypto. As an MLE intern, you'll take ownership of a research-to-production project, applying cutting-edge ML techniques to real-world problems at blockchain scale. What you'll do: Develop, deploy, and operate machine learning models and pipelines at production scale Drive an end-to-end research project applying modern ML techniques to solve a defined business problem Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship Required Skills and Experience: Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field Demonstrated proficiency building and training models using ML frameworks such as PyTorch or TensorFlow Experience applying ML techniques including supervised learning, unsupervised learning, or reinforcement learning to structured or unstructured datasets Familiarity with software engineering fundamentals including version control, testing, and writing production-qua

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. We are hiring a Staff Machine Learning Engineer, Risk! As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO. You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team. We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain. What You'll Do Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers. Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring. Design and productionize models rather than just prototype them, including

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable outcomes across Sales, Marketing, and Customer Engineering. We combine analysis, ML models, and internal tooling to answer high-value business questions and help GTM teams work faster and more effectively. We measure success by the real business value our work creates. As a Senior Data Scientist, you'll own the full lifecycle of intelligence solutions, from problem definition and analysis through model development, stakeholder enablement, and ongoing iteration. You'll work directly with GTM teams to surface high-value business problems and answer them with the right mix of analytics and modeling, translating what you find into decisions that stick. The best person for this role has strong modeling instincts, genuine curiosity about how GTM businesses operate, and the judgment to know when a complex model is the right tool — and when a well-framed SQL query gets you there faster. This role is based in Raleigh, NC and follows Pendo's hybrid model: in-office 3 days per week. What this looks like day-to-day Leverage data analysis, machine learning, and predictive modeling to identify opportunities and mitigate risks for our GTM teams, from problem framing through delivery and ongoing iteration Work collaboratively with data & AI engineers, analysts, revenue operations, and GTM stakeholders to ensure your work is actionable, interpretable, and clearly connected to business decisions Translate model outputs and analytical findings into clear business narratives through slides, write-ups, presentations, and async video Leverage AI-assisted development tools (Cursor, Claude Code) to accelerate delivery and prototype faster, while applying the critical thinking to validate, refine, and own the output Share and build reusable patterns, model documentation, and technical findings with the broader team Answer high-value business questions through analysis and experimentation: dev

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Senior Data Scientist II to build the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll work end-to-end framing problems, building models across the modern ML and deep learning toolkit, designing sub-agents that reason and act, and shipping all of it into production for millions of users. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are curious, technically rigorous, and can translate complex modeling and sub-agent behavior into clear recommendations for your partners. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position will report to a Data Science & BI Leader and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models, retrieved context, and LLM reasoning to recommend or take action Build the predictive and prescriptive models that power those sub-agents churn risk, growth, adoption trajectories, account health scoring, and similar lifecycle problems Develop the data foundations and knowledge layer those sub-agents reason over, applying responsible aggregation and privacy-aware design Design the tools, retrieval, and grounding strategies each sub-agent uses; de

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's security and compliance needs are growing as we work with larger and more demanding customers. Compliance is increasingly a customer-facing, contractual function rather than an internal exercise, and we are looking for someone to own it. This role owns that function end to end: our audits, our evidence base, our risk register, and the security diligence that customers put us through before and during a contract. You will work directly with the Head of Security and across engineering, IT, legal, and sales. This is a program-ownership role with the autonomy and accountability that implies. You will not have a senior compliance function above you to defer to; you are that function. In your first year, success looks like a complete and defensible evidence base with clean audit outcomes, a repeatable way to answer customer security diligence, and a risk register that leadership actually uses. What You'll Do Own our SOC 2 Type II and ISO 27001 programs, and future frameworks as we take them on, including scope, evidence, control operation, and the relationship with our external auditors. Own and complete the control evidence base in our compliance automation platform, moving controls from partially substantia

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 2+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or

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 . TwoTwenty is Pinterest's innovation lab, building visual-first AI products — assistants, Gen-AI creation tools, and editing experiences — with startup speed at Pinterest scale. We're looking for a Senior Director of Engineering to lead a team of 10 (7 direct reports across ML engineering, software engineering, data science, and product management), own the technical strategy for TwoTwenty's AI product portfolio, and scale the org from scrappy to enduring without losing what makes it fast. This role reports to the VP of Product Management, Core, and partners closely with Pinterest's Core Product & Engineering, Advanced Technologies Group, and Trust & Safety teams to ship AI features that reach hundreds of millions of Pinners. What you'll do: Drive execution of TwoTwenty's 1–3 year technical strategy across visual AI assistants, gen-AI cre

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As Data Scientists at Nextdoor, you will have the opportunity to influence strategic decisions with product analytics, drive better experimentation and build online and offline ML solutions. We use a semi-embedded team structure, with data team members interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play a proactive and collaborative role in building and improving the product. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make As a Senior Data Scientist on the Search team, you will shape how neighbors find the people, places, posts, and business

Opportunity Overview: As a Lead Applied Scientist, you’ll join our growing team of world-class applied scientists and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our AS team’s work is focused on designing, prototyping, and partnering with AI Engineering to deploy and monitor production models which extract or predict relevant clinical findings from structured and unstructured data sources. What you’ll do: Design and develop advanced machine learning algorithms for retrieval, classification and generative use cases. Write and maintain reusable codebases to perform data preprocessing, model training, and model evaluation Provide scientific and machine learning best practice guidance to junior engineers Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives. What you’ll need: Must-haves Minimum 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company Clear understanding of model building, model maintenance and the measures that optimize models for production use Understand experimental design and can independently perform collection, measurement, and interpretation of results Expert in Python with experience in deep learning frameworks (e.g., PyTorch) Hands on experience building deep learning models (e.g., transformers) for NLP tasks MS or PhD required Nice-to-haves Experience with generative AI or Retrieval Augmented Generation (RAG) Experience working with unstructured healthcare data (e.g., clinical notes) Experience with OCR or image-based document understanding techniques Hands on experience using AWS tools such as SageMaker Studio ISMS roles and responsibilities Good knowledge of Information practices. Assist the manager in all the information security activitie

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Data Scientist on the Digital Experience Insights team, you'll lead high-impact analytics initiatives, turning complex data, platform, and time-series data into rigorous predictive models, causal inferences, and strategic product metrics. You'll also apply advanced statistical and quantitative research methods to some of our most complex datasets, but the core of the role is turning that analysis into decisions leadership can act on. This role sits within a fast-moving analytics organization where the specific problems shift over time, so we're looking for someone with strong research rigor who can adapt it to whatever question is in front of them. WHAT YOU'LL DO Advanced Predictive & Statistical Modeling: Develop ML models spanning predictive modeling, time-series prediction, clustering, churn reduction, anomaly detection, and recommendation systems. Quantitative Research: Apply advanced computational methods and statistical techniques, including multilevel models and Statsmodels, to massive datasets. Executive Visualization: Create executive-level visual analytics that make complex findings accessible to senior stakeholders. Stakeholder Collaboration: Partner directly with Product, Engineering, and Business leaders to translate complex analytical findings into actionable strategy. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in complia

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - United States or Canada About the role We are looking for a Senior Data/ML Engineer to own the data and machine learning foundation that Sardine's compliance decisions run on. Every onboarding decision we make — a payment approved, an account blocked, a KYC case escalated — is the output of a pipeline someone built. This role owns those pipelines end to end: how data arrives, how it becomes a feature, how that feature becomes a model, and how that model stays correct in production. This is a high-impact, highly technical IC role sitting at the intersection

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . The Sales Data team is responsible for supporting the entire Commercial team through data modeling, pipelining, dashboarding, experimentation, analyses, and machine learning models. Our stakeholder teams are diverse, including Financial Planners & Advisors, Business Development Representatives, our AI Voice Agent team, Revenue Operations and Commercial Systems. We are looking for a Senior Data Scientist who has strong foundations in data modeling and machine learning to lead high priority initiatives, take ownership as a decision science expert, and help shape the direction of our Commercial team and our AI Voice Agent program. Some of your projects may include: modeling sales data, creating and improving reporting for business stakeholders, exploratory data analysis to improve our sales processes, and developing and maintaining ML models. Our models are used to solve real business problems and directly impact Wealthsimple’s north star metric. Therefore, experience with supporting sales is a bonus. In this role, you will have the opportunity to: Build and maintain new data models that are accurate and reliable Work closely with a wide range of stakeholders from Data Science, Commercial Leadership, Sales Operations, Product, Design, and Engineering Define, prototype, implement and improve ML models Design experiments to test hypotheses (e.