Logistics Supply Chain Assistant Jobs

About the Team Our Trust & Safety, Integrity and Fraud Product team is dedicated to ensuring a safe and trusted experience for all customers across our platform, including Consumers, Merchants, and Dashers. We tackle complex challenges, from preventing fraud and ATO to ensuring authenticity, to building regulatory compliance capabilities, all while balancing risk mitigation and providing a seamless user experience. Our team partners closely with cross-functional groups, including Engineering, Data Science, Compliance, and Risk Operations, to drive strategic initiatives that protect our business while fostering growth. About the Role The DoorDash marketplace is expanding rapidly beyond just restaurants as we become “your door to more." As we add new products, geographies, ways for Dashers to earn, as well as use cases to help consumers save time, we’re expanding and enhancing our fraud capabilities to be best in the industry at keeping our platform safe and trustworthy. We strongly believe that trust is the most important attribute of an online marketplace, and the team ensures that we maintain this trust. We’re looking for a Senior Product Manager that will lead dedicated cross-functional teams to solve complex challenges that impact Consumers, Dashers and Merchants and touch every corner of our business - from new user onboarding, to the in-app dashing experience, to the products and services being created that our users can’t find anywhere else. We are looking to hire for a few roles, so you’ll either lead a vertical fraud team protecting Consumers or lead a horizontal fraud platform team focused on building our Risk Engine, Data Signals Intelligence and Automation / Anomaly Detection capabilities. The Fraud team is in hyper growth in terms of its size and impact and offers a unique opportunity to set and execute on a vision that will shape the future of DoorDash. You’re excited about this opportunity because you will… Set the vision and long-term product stra

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. At our labor marketplace tech company, we believe that even in the age of AI, the core of success comes down to good people doing honest work. We're seeking a curious and driven Product Operations Analyst to help us operationalize our intelligent product features, ensuring they deliver value and efficiency to our users. This is a fantastic opportunity to grow your career at the intersection of product, data, and user experience. Who You Are: An early-career professional, from a recent graduate up to 2 years of experience, looking to build a career in product operations. A Passion for Product & Tech: You are fascinated by how technology products are built, launched, and improved. You're eager to learn and contribute to the product lifecycle. Curious about AI: You don't need to be an expert, but you're an enthusiast who is interested in learning about the latest AI technologies and tools and their potential to improve user experiences. Analytical & Data-Curious: You have a knack for looking at data to find patterns and answer questions. You're comfortable with spreadsheets (Excel/Google Sheets) and are excited to learn more about data analysis. A Problem-Solver: You enjoy tackling challenges and are motivated to find efficient solutions. You're organized, detail-oriented, and not afraid to ask questions to get to the root of a problem. Eager to Learn Technical Skills: You have an interest in learning data analysis tools. Any exposure to SQL or other data tools is a plus, but a strong desire to lear

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. At our labor marketplace tech company, we believe that even in the age of AI, the core of success comes down to good people doing honest work. We're seeking a curious and driven Product Operations Analyst to help us operationalize our intelligent product features, ensuring they deliver value and efficiency to our users. This is a fantastic opportunity to grow your career at the intersection of product, data, and user experience. Who You Are: An early-career professional, from a recent graduate up to 2 years of experience, looking to build a career in product operations. A Passion for Product & Tech: You are fascinated by how technology products are built, launched, and improved. You're eager to learn and contribute to the product lifecycle. Curious about AI: You don't need to be an expert, but you're an enthusiast who is interested in learning about the latest AI technologies and tools and their potential to improve user experiences. Analytical & Data-Curious: You have a knack for looking at data to find patterns and answer questions. You're comfortable with spreadsheets (Excel/Google Sheets) and are excited to learn more about data analysis. A Problem-Solver: You enjoy tackling challenges and are motivated to find efficient solutions. You're organized, detail-oriented, and not afraid to ask questions to get to the root of a problem. Eager to Learn Technical Skills: You have an interest in learning data analysis tools. Any exposure to SQL or other data tools is a plus, but a strong desire to lear

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. San Francisco, CA – 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 campaign

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. Toronto, ON – 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 Enga

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 The behavior team at Nuro develops the Nuro Driver’s prediction and planning systems to enable safe, driverless autonomy. We are looking for strong software engineers to research, develop, and implement technologies for Nuro’s planning stack to empower all rides on all roads. This encompasses building a generalizable and scalable ML planner that can power L4 driving for robotaxi applications as well as serve as an L2 solution for the largest auto manufacturers in the world. Operating domains of the Nuro Driver™ vary from structured surface streets and highways to more unstructured areas such as parking lot driving, parking and multi-point turns in busy traffic situations. You’ll be developing state-of-the-art algorithms to enable the Nuro Driver to safely and reliably plan and navigate complex situations in a human-like manner. You will work on intelligent strategies on how to leverage diverse data to have the biggest impa

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. We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams. You will: Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions. Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members. Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues ). Identify where internal tooling might be developed or obtained to improve support efficiency. Reproduce issues, create test cases and improve test coverage, if you have experience with testing. You are: Experienced in customer support, with 3+ years of experience providing developer support to technical customers. Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus. Excellent communication skills and fluency in English. Skilled in using Linux/Unix operating systems and the command line. Experienced working with GitHub Issues and Discussions. Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js. Having a degree in Computer Science is a plus too. Timezones & Logistics It’s a full-time position with a required location in European time zones (we don’t believe in sustainability of

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 performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training. As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. Responsibilities: Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment Coach and support your reports in understanding, and pursuing, their professional growth Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you: Have 1+ years of management experience in a technical environment, particularly performance or distributed systems Have a background in machine learning, AI, or a similar related technical field Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships with stakeholders at all levels Are a quick learner, capable of understanding and contributing to discussions on complex technical topics Have experience manag

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: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Strong candidates may also have experience with: High-performance, large-scale distributed systems Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Python or Rust You may be a good fit if you: Have significant software engineering experience, particularly with distributed systems Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Want to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Representative projects across the org: D

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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 6+

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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are

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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and

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 teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software

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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative

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're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations. Responsibilities: Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure Architect solutions for storing and efficiently querying large volumes of security-relevant data Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities Work closely with security and infrastructure teams to understand requirements and deliver solutions Mentor engineers and contribute to hiring and growth of the Security team Participate in on-call shifts You may be a good fit if you: 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines Track record of building and maintaining internal developer tools or security platforms Strong understanding of data processing pipelines and experience working with large-scale logging systems Experience with: Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows) Infrastructure-as-code (Terraform, CloudFormation) Query optimization for large datasets Experience with building st