Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the Role: We are seeking a Senior Staff Machine Learning Engineer to define and accelerate how we leverage agentic AI to transform machine learning models and modeling workflows. This high-impact role focuses directly on modeling leverage —enhancing model quality and velocity—rather than building general infrastructure. As a senior staff engineer, you will operate as a technical leader across the entire modeling loop, utilizing modern AI-assisted development systems (such as Claude, Cursor, and comparable tools) to make model development faster, more rigorous, and significantly more effective across the organization. Why Join Us? This role offers a domain-flexible platform to redefine how ML engineering is done. If you are passionate about combining deep ML fundamentals with the vanguard of agentic AI to multiply team impact, we’d love to talk to you. What you’ll do: Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them. Use tools such as Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments. Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts. Design evaluation harnesses that measure both model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, a
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About the Role The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability. We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful. As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products. Responsibilities Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI. Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work. Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling. Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through b
Are you ready to be part of an ambitious team driving digital transformation at NVIDIA? As a Sr. Staff Business Systems Analyst, you will play a pivotal role in crafting intuitive, high-impact experiences that support our core business functions. This outstanding opportunity offers the chance to collaborate with global partners and influence decisions that determine our competitive edge! What you’ll be doing: Design and scale AI-powered workflows, agentic experiences, and internal products that simplify work, surface relevant context, and enable employees to complete tasks more effectively across enterprise tools. Drive internal go-to-market and adoption strategies for digital and AI capabilities, including persona-based value propositions, enablement, communications, feedback loops, and outcome measurement. Apply a product mindset to develop intuitive, simple, and high-impact experiences, starting with the user problem and connecting solutions to meaningful business outcomes. Collaborate with global partners, architects, engineers, and business leaders to define product vision, prioritize capabilities, and develop world-class systems that support NVIDIA’s core business functions. Use data, user feedback, and qualitative insights to identify opportunities and make informed decisions, leveraging strong storytelling skills to build alignment and influence priorities. Build trusted relationships with collaborators at all levels; facilitate productive discussions, navigate ambiguity, and negotiate trade-offs across user needs, technical constraints, timelines, and business value. Champion employee experience and user-centric development by continuously gathering feedback and measuring adoption, usability, satisfaction, and business impact to evolve solutions after launch. What we need to see : Bachelor’
Senior Program Manager Description - Job Summary • This role is responsible for leading teams/projects to solve common and complex business issues, by leveraging developed subject matter knowledge. The role manages and leads cross-functional program teams, delivers professional reports, develops schedules, budgets and resource plans, and tracks progress against the establishes plans, while leading less-experienced staff members. The role also identifies risks and creates mitigation plans, and reports the same to executive management. Responsibilities • Manages and leads a program involving one or more functions and project teams to drive the engineering development and implementation process for a subsystem or component of a product or service offering. • Leads moderate to high complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans. • Understands the technical concepts, architecture, systems, development methods, and disciplines associated with the defined program, and utilizes knowledge to accelerate project completion. • Leads the deployment, launch, and continuous improvement of new technologies & process automation developed within the company's worldwide engineering team. • Develops schedules, critical deliverables, budget, resource allocation plan, logistics, and other support requirements for assigned program in collaboration with both the company & contract manufacturing teams. • Coordinates activities of supporting project teams and internal and external development partners; tracks progress against established plan and makes decisions to alter or update schedule and resource allocation to meet product requirements and development schedule. • Communicates program progress, escalations, and issue analysis to product stakeholders; collabora
Become a part of our caring community The Lead, Infrastructure Capacity Management conducts supply/demand, trend analyses and makes proactive capacity planning recommendations to mitigate risk and rationalize the optimal amount of hardware, software and network resources to meet business needs, service level requirements and IT infrastructure growth capacity. The Lead, Infrastructure Capacity Management works on problems of diverse scope and complexity ranging from moderate to substantial. The Lead, Infrastructure Capacity Management ensures that capacity workload modeling and Performance Optimization and availability analysis is performed for a variety of platforms and environments. Serves as a subject matter expert to application development, systems administration and engineering and other technical and business staff in planning the resource requirements for systems under development. Develops, maintains, recommends, documents and supports tools and backend utilities to provide capacity planning management. Facilitates the development of policies to ensure that existing capacity is being used as efficiently as possible. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises sound judgment and decision-making on complex issues and initiatives, working with minimal supervision. Analyzes multiple factors and business considerations to determine and implement effective solutions. Use your skills to make an impact Required Qualifications Bachelor's degree in Data Science, Data Analytics , Computer Science, Information Systems, Information Technology, Engineering, or a related technical field 8+ years of experience in cloud, and On-prem databases, infrastructure, or platform engineering. Expertise in cloud capacity planning, perfo
What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Responsibilities: Drive staff results by communicating job expectations, planning, monitoring and appraising job results, coaching and counseling employees, recognizing performance issues and driving improvement, developing, coordinating and enforcing systems, policies, procedures and productivity standards Establish strategic goals by gathering pertinent business, financial, service and operations information, choosing a course of action, defining objectives, and evaluating outcomes Maintain staff by recruiting, selecting, orienting and training employees; maintaining a safe, secure and legal work environment; developing personal growth opportunities Ensure validation program meets requirements of FDA (21 CFR Part 11 and Part 820), ISO 9001/13485, IEC 62304 and MDSAP Identify differences between ISO and FDA requirements and their applicability to products targeting different markets Report broadly through the organization on validation activities and instrument manufacturing audit readiness Estimate timelines and budgeting for validation engineering development efforts Formalize, sta
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. About Technology Data and Intelligence at Okta At Okta, the Technology Data and Intelligence (TDI) team drives internal efficiency through secure, scalable, and innovative systems. TDI partners with teams across the company to build and support the infrastructure, automation, and enterprise applications that keep operations running smoothly. Focused on enabling productivity and aligning technology with business goals, TDI plays a vital role in both day-to-day operations and long-term strategic growth. The Staff Software Engineer Opportunity We are looking for a Staff Software Engineer to join our growing team in TDI and help scale our internal business solutions with a sharp focus on security, reliability, scalability, and intelligent automation. You will be responsible for designing and developing customization
About Team The IT SaaS Engineering Team is the backbone of MongoDB's go-to-market operations. We build and run the Salesforce platform — with the automation, security, and governance that Sales Operations, Revenue Operations, Security, and Compliance rely on daily to manage customer relationships and drive business growth. Role Overview We're hiring a Staff Salesforce Engineer to own the architecture, design, and evolution of our CRM platform. This role combines deep technical leadership, hands-on solution design, and a modern engineering mindset that embraces AI-powered development responsibly. As a senior individual contributor, this person sets technical direction and raises the engineering bar through architecture, design, and mentorship. What You'll do Lead architecture, design, and development of scalable Salesforce solutions — custom applications, automations, and integrations Translate business requirements into secure, maintainable, technical solutions aligned with long-term platform strategy Partner with business stakeholders, product teams, and engineering to refine requirements and deliver high-quality solutions Oversee integrations between Salesforce and other enterprise platforms, ensuring reliable data flow and sound system design Drive platform optimization across performance, scalability, usability, and governance Establish and enforce engineering standards for coding, testing, documentation, CI/CD, and release management Troubleshoot complex production issues and drive long-term, scalable resolutions Identify tech debt and drive modernization efforts across the Salesforce ecosystem Leverage AI-powered engineering tools (Apex Guru, GitHub Copilot, Salesforce Agentforce Vibes, Claude Code) to improve productivity and code quality — with strong judgment on security, privacy, and accuracy. Responsibilities Provide technical leadership through architecture reviews, design reviews, code reviews, and engineering best practices Act as a subject matter expe
We are seeking a highly skilled Staff NetSuite Engineer with deep expertise in Order-to-Cash(O2C) & Record-to-Report (R2R) processes and accounting best practices. This role will serve as the technical and functional bridge between Finance and Technology, driving automation, process optimization, and scalability within our NetSuite environment.The successful candidate will lead the design, enhancement, and support of accounting systems that power our General Ledger (GL), Record-to-Report (R2R), Accounts Payable (AP), Accounts Receivable (AR), including credit card process, Tax, and Treasury operations. As a senior member of the Finance Technology team, you will design and implement solutions that streamline accounting workflows, ensure compliance, and enhance financial reporting accuracy. We are looking to speak to candidates who are based in New York City, NY or Palo Alto, CA or remotely in the United States. Key Responsibilities System Architecture & Development Lead the design, configuration, and customization of NetSuite to support R2R and accounting processes (GL, journals, allocations, consolidations, fixed assets, intercompany eliminations) Architect scalable NetSuite solutions that integrate seamlessly with upstream and downstream systems (e.g., procurement, billing, expense management, data lake) Develop and maintain SuiteScript, SuiteFlow, SuiteTalk (Web Services), and RESTlets to support automation and integrations Process & Accounting Alignment Partner with Finance, Accounting, and Audit teams to translate accounting policies into system-enforced controls within NetSuite Act as the primary point of contact for Finance teams including Accounting, Tax, Treasury and RevOps Ensure compliance with SOX, GAAP, and audit requirements through configuration of role-based security, approvals, reconciliations, and audit trails Optimize financial close processes (journals, reconciliations, accruals, consolidations) to reduce close cycle time Build and enh
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence About Reddit Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and 101M+ daily active unique visitors, we’re one of the largest sources of conversation and knowledge on the internet. For more information, visit redditinc.com . Team Overview The Ads ML Platform team builds infrastructure that accelerates high-scale ML systems and tooling for Ads ML, while extending reusable capabilities to broader Reddit ML use cases where appropriate. Our systems help ML engineers move faster across the full development lifecycle: creating features, generating training data, running offline experiments, validating model quality, launching production models, and operating ML systems reliably. We are looking for a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle. The initial focus will be on the feature development and training iteration loop: making it faster and easier for ML engineers to build features, generate reliable training data, run experiments, and move from idea to validated model improvement. Over time, this scope will expand into serving and online experimentation workflows, creating
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build multi-player, asynchronou
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise Knowledge Work team builds the products that help enterprise knowledge workers collaborate deeply with Claude for major parts of their work. Over the past year, AI has transformed how software engineering happens; for the rest of knowledge work, though, using AI still mostly means answering questions and producing first drafts — a small slice of the actual job. We're building toward something bigger: people and agents working together on every core work objective, from first idea to finished product, and the recurring work of a team running with Claude in the loop instead of a person pushing every step. It's an enormous space, it's early, and no one has built it well yet. You'll help decide what these products are, not just how they're built — the product questions are as open as the architecture ones — and you'll see your work land with real teams at the world's largest enterprises. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the te
Staff Software Engineer, Android Location: Remote USA Who We Are Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Are you bready* for a change? Toast currently serves hundreds of multi-unit brands, including Caribou Coffee, Choice Hotels, Craveworthy Brands, WaBa Grill, Nothing Bundt Cakes, Papa Gino's & D'Angelo, Costa Vida Fresh Mexican Grill, and The Human Bean, among others. We are looking for a Staff Software Engineer to join our enterprise drive-thru team and help us build the best-in-class drive-thru solutions that enable significant future growth. You will get to work across the entire Toast platform, including our scalable backend, customer-facing web apps, and everything else in between. As a member of the Drive-Thru Enterprise team, you will help ensure our products are built to meet the evolving needs of these customers. You can read more on our Toast for Enterprise Page . About this roll * (Responsibilities) Define the long-term technical strategy and architecture for the Drive-Thru domain, balancing immediate delivery with long-term maintainability. Standardize Android best practices across the organization, influencing how multiple teams build and deploy mobile features. Architect the interface between mobile clients and complex backend services to ensure offline-resiliency in high-volume drive-thru environments. Design, build, deploy, and maintain highly resilient and scalable features across Toast’s enterprise management products. Identify high-impact opportunities within the Drive-Thru ecosystem and partner with Product and UX leadership to define the roadmap. Bridge the gap between Android and backend systems to ensure a seamless, end-to-end enterprise experience. Guide the growth & development of peer engineers with mentoring and coaching. Foster a culture of engineering excellence by
We design Spotify's consumer experience — end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints — from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. Platform & Partner Experience (PPX) sits within the Experience Mission, shaping how Spotify shows up across devices, platforms, and partner ecosystems. We build the foundations that power seamless integrations — from smart speakers to cars to AI agents — while ensuring every interaction feels personal, reliable, and unmistakably Spotify. As a Senior Staff Engineer, you'll advance how our systems power partner experiences at scale, tackling complex challenges that span teams, systems and organizational boundaries. You will work closely with platform, infrastructure, and product teams across the company to create shared foundations, streamline our architecture and unlock new experiences for our users and partners. What You Will Do Lead the technical strategy, architecture, and development of systems that enable and enhance partner and platform experiences across devices and integrations Drive complex technical initiatives that span multiple studios or a full mission — particularly where coordination cost, architectural sprawl, or competing local optimizations are part of the problem Create leverage by unifying fragmented approaches, retiring duplicative systems, and establishing the standards and platforms that enable multiple studios move faster without reinventing foundations — judging where consolidation creates leverage and whe
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we're building cutting-edge AI compute solutions. Developing diagnostics programs to validate the functionality and stress the performance of our solutions is a critical part of delivering exceptional products. We are looking for Engineers to join our Diagnostics Development team. These engineers will work closely with our firmware, software, board, ASIC design and verification teams to ensure that the ASICs, boards, and AI compute systems meet the highest standards of quality and performance. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You're curious, hands-on, and excited by the challenge of building powerful systems that sit at the intersection of hardware and software. You enjoy working close to the metal, whether that’s writing code, debugging hardware, or exploring how systems perform under stress. You thrive in collaborative environments and love learning from teammates across disciplines like firmware, ASIC design, and manufacturing. You’re motivated by impact and want to contribute to technology that’s shaping the future of AI and computing. What We Need A
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