Logistics Operations Specialist Jobs

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 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: Claude is one of the most-used AI products in the world, and the experience we build for our users directly shapes how people interact with AI every day. We're looking for a talented engineer to join the team that builds the consumer web app — the interfaces, interactions, and moments that turn Claude from a capable model into a product people genuinely enjoy using. This is a product engineering role first and foremost. You'll work closely with designers and product managers to bring features from concept to shipped experience, obsessing over the details that make the difference: how something feels when you first land on it, how smoothly a new interaction flows, how an interface holds up under real-world use. The pace is fast, the product is evolving quickly, and the opportunity to have a visible, direct impact on how millions of people use AI is real. If you love building consumer products and care about getting the details right, this could be a great fit. Responsibilities: Set technical direction for the Claude product and its features Build and ship user-facing features for Claude's web and desktop experience Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns rather than afterthoughts, and advocate

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for an experienced Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For In this role, you’ll: Resolve Technical Issues: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. Provide Consultative Advice: Offer proactive guidance to optimize workloads, avoid common pitfalls, and provide tailored advice to our most advanced users. Bridge the Gap to Engineering: Reproduce bugs, isolate root causes, propose workarounds, and escalate to engineering with solid reproduction steps. Investigate Deeply: Ask smart, targeted questions that turn incomplete reports into actionable cases. Communicate Effectively: Communicate clearly and empathetically with users of all levels—especially during high-impact or time-sensitive situations. Drive Product Improvement: Spot patterns across tickets and recommend improvements to documentation, tooling, and the product itself. Mentor and Lead: Mentor junior team members and help raise the overall bar for support quality. You Might Be a Good Fit If Experience: You have 7+ years in technical support, databases, backend engineering, SRE, or similar roles. Postgres Expertise: You know PostgreSQL deeply—including autovacuum behavior, WAL growth, long

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for an experienced Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For In this role, you’ll: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. Provide consultative, proactive advice to optimize workloads, avoid common pitfalls, and offer tailored advice to our most advanced users. Reproduce bugs , isolate root causes, propose workarounds, and escalate to engineering with solid reproduction steps. Ask smart, targeted questions that turn incomplete reports into actionable cases. Communicate clearly and empathetically with users of all levels—especially during high-impact or time-sensitive situations. Spot patterns across tickets and recommend improvements to documentation, tooling, and the product itself. Mentor junior team members and help raise the overall bar for support quality. You Might Be a Good Fit If Experience: You have 7+ years in technical support, databases, backend engineering, SRE, or a similar field. Postgres Expertise: You know PostgreSQL deeply—autovacuum behavior, WAL growth, long-running transactions, table bloat, and other internals. Performance: You’re strong in high-performance SQL and query optimization. Troubleshooting: You’re comfortable tr

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for an experienced Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For In this role, you’ll: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. Provide consultative, proactive advice to optimize workloads, avoid common pitfalls, and offer tailored advice to our most advanced users. Reproduce bugs , isolate root causes, propose workarounds, and escalate to engineering with solid reproduction steps. Ask smart, targeted questions that turn incomplete reports into actionable cases. Communicate clearly and empathetically with users of all levels—especially during high-impact or time-sensitive situations. Spot patterns across tickets and recommend improvements to documentation, tooling, and the product itself. Mentor junior team members and help raise the overall bar for support quality. You Might Be a Good Fit If Experience: You have 7+ years in technical support, databases, backend engineering, SRE, or a similar field. Postgres Expertise: You know PostgreSQL deeply—autovacuum behavior, WAL growth, long-running transactions, table bloat, and other internals. Performance: You’re strong in high-performance SQL and query optimization. Troubleshooting: You’re comfortable tr

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 At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP. We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory. Responsibilities Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences Work directly with internal test users and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation Generate documentation and insights to guide successful prot

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 We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday platform. This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation. In this role, you will ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations. Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements Prism Analytics Development: Develop an

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 research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient Create reusable platforms and tools that accelerate

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. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which f

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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are foc

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 is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable) Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability Build robust systems for data quality assurance and validation at scale Collaborate with research teams to implement novel data processing architectures Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets You may be a good fit if you have: 5+ YOE outside of internships Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems Hands-on experience with distributed computing frameworks, particularly Apache Spark Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a collaborative environment Advanced degree in Computer Science or related field Experience with language model training infrastructure Background in Data Infrastructure, MLOps, or ML infrastructure Stro

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our software team is growing, and we are looking for talented engineers who are graduating by December 2026 to join us and be instrumental to one of the following areas: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams. About the Work Depending on your skill set and areas of interest you will work on some or all of the following: Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by providing detailed introspection. Onboard Systems: Our onboard s

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As a software engineering intern, you will work closely with leading experts in the field of machine learning, robotics, and software. Depending on your skill sets and areas of interest, you will work on some or all of the following: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams. About the Work Depending on your skill set and areas of interest you will work on some or all of the following: Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by provid

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. Washington, DC – Onsite 4 Days/Week (Mon–Thurs) Relocation required if not local – no relocation assistance provided The Team At Okta, we’re building the world’s identity platform - one that empowers people, protects data, and fuels digital innovation. Our customers (think: JetBlue, T-Mobile, Sonos, Zoom) trust us to help them stay secure, seamless, and scalable in a world where everything and everyone is connected. And behind the tech? People like you - curious, motivated, collaborative learners who want to do meaningful work alongside great teammates. The Opportunity: Where High Potential Meets High Impact Let’s be real: There are a lot of SDR roles out there. But at Okta, we do things differently. This isn’t just a stepping stone - it’s your launchpad into a long-term sales career in one of the most exciting industries in tech: cybersecurity and identity. We’re looking for driven, curious individuals who thrive in fast-paced environments, embrace feedback, and want to make a tangible impact every day. As an SDR at Okta, you'll do more than prospect - you’ll uncover real business challenges, collaborate cross-functionally, and set the foundation for meaningful customer relationships. What You'll Be Doing: Research accounts and contacts to develop thoughtful outreach strategies using tools like Salesforce, Outreach, and LinkedIn Sales Navigator Collaborate with Marketing and Account Executives to plan and execute prospecting campaigns

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 Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Min

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 We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in at least one programming language such as Python, Java, etc. Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stake