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 The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will own one or two of these areas and contribute to others, with your focus shaped by your strengths and the team's priorities. This is largely greenfield work, and you will help define the architecture. About the role: Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them Mentor engineers across the security team and broader engineering organization, contribute to hiring, and grow security engineering culture at Anthropic Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team Developer security and supply chain Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows Harden CI/CD pipelines against supply chain attacks through isolated build environments, s
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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. The Product Okta’s Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. The Team The Delegated Administration team is expanding Auth0 to help B2B SaaS applications easily manage access for their own customers and partners, at scale. We make it possible for enterprise SaaS users to log in with the right set of permissions within the right context, and for our B2B customers to onboard access for their customers easily. Our work is cross-cutting and always heavily customer driven. We work in NodeJS (JavaScript and TypeScript) and use PostgreSQL for our data needs. Our services run on AWS and Azure and we lean heavily on containers for both our development and production needs. If you have a keen eye for good user experiences and enjoy solving hard problems at scale we can’t wait to talk to you. What you’ll be doing Help drive architectural vision and strategy on the team to design and deliver powerful new enterprise functionality for our SaaS customers - both for the login flow itself and for Auth0’s direct and self-service management capabilities Identify and implement strategic technical improvements to our codebase and arch
At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. This role is offered as a hybrid in Bangalore, India, with the expectation to come to the office 2 days per week. We are only able to accept applications from those based in India and who have sponsorship to live and work in India. #LI-Hybrid What you'll do at Jamf: At Jamf, we empower people to be their best selves and do their best work. We are seeking a highly skilled Cloud Engineer II, Oracle EPM to design, develop, and support Oracle Enterprise Performance Management (EPM) solutions in a fast-paced Software-as-a-Service (SaaS) organization. This role is hands-on, responsible for the full lifecycle of EPM applications — Financial Consolidation & Close (FCCS), Account Reconciliation (ARCS), Tax Reporting (TRCS), Planning (EPBCS) and Enterprise Data Management (EDMCS) — with a strong focus on automation, integrations, and production stability. You'll come in with real depth in at least one of these five applications, but you won't stay there. This role is built to stretch: you'll pick up new EPM applications, new integration patterns, and new corners of the Oracle Fusion Cloud EPM suite as our footprint expands, so your Oracle expertise compounds rather than plateaus. What you can expect to do in this role: Build and maintain EPM artifacts across all five applications — metadata, hierarchies, data forms, business rules, calculation scripts, dashboards and workflows — plus the break/fix wo
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity As a Senior Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with 5–8 years of relevant experience who can leverage open-source and custom tooling to orchestrate and maintain large-scale Kubernetes environments. You will play a "Captain" role—leading critical deliverables and mentoring junior engineers while maintaining the reliability of our global fleet. What You'll Do Architectural Leadership: Drive the design and implementation of internal tools, specifically focusing on Kubernetes Operators and Controllers to automate resource management. Platform Orchestration: Lead complex, large-scale infrastructure shifts. Operational Excellence: Take ownership of incident response, author comprehensive retrospectives, and implement systemic hardening to prevent recurrence using advanced overcommit strategies. This Role Requires Experience: 5–8 years in a DevOps, Site Reliability, or Infrastructure Engineering role. Kubernetes Mastery: Deep internals knowledge of Kubernetes and hands-on experience writing custom operators. Tooling Proficiency: Strong experience building production-grade tools and services, specifically for infrastructure automation. Operations-Heavy Mindset: A proven track record of Day 1/Day 2 operations for a large-scale Kubernetes fleet, handling high-severity incidents, and improving SLA compliance through auto
Senior Designer, Visual Interaction Design In a nutshell: We’re looking for a Senior Visual Interaction Designer to join our Cambridge Studio who is passionate about crafting elegant, thoughtful user experiences, and who brings strong visual design craft to the interactions people have with complex design systems, software, services, and each other. Senior Visual Interaction Designers at IDEO shape how experiences look, feel, and behave. In this role, you’ll translate human-centered insights into clear, compelling interactions and interfaces that are functional, expressive, and meaningful. You’ll balance visual excellence with usability, and bring a distinct visual voice to each design challenge while learning and growing alongside a multidisciplinary team. This is a phenomenal opportunity for designers who are highly self-guided, eager to take on complexity, and motivated to continually sharpen their craft. Once here you will: Contribute to a diverse portfolio of projects spanning data, experience, interaction, digital product, and service design across a range of industries Work across all phases of a project, from research synthesis and concepting through prototyping, refinement, and production-ready execution Translate human-centered insights into interaction models, visual systems, and polished digital interfaces Create “looks-like / works-like” prototypes to explore ideas, test assumptions, and communicate concepts to teammates and client stakeholders Collaborate closely with designers from different backgrounds—including design research, business design, industrial design, and communication design—to develop cohesive, holistic experiences Design across a wide variety of mediums and contexts, such as mobile apps, AI experiences, websites, digital/physical systems, room-scale displays, AR/VR, or voice interfaces, always guided by user needs and context Advocate for high-quality visual and interaction design, contributing to a culture of strong craft, curiosity,
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 In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions. You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job. Responsibilities Build full-stack end-to-end across the People Products portfolio. Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes. Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers. Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, wh
About the Team DoorDash Labs is an independent team within DoorDash. We are working on building autonomous delivery robots from the ground-up and other automation solutions as part of DoorDash's core delivery platform. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! About the Role As the Hardware TPM at DoorDash Labs you will play a central role within the robotics hardware team and across all of DoorDash Labs as we improve last-mile deliveries using autonomy. You will report to the Lead of our Technical Program Management team. This role requires onsite presence in one of our two HW Labs in either San Francisco or Oakland minimum two days per week. You're excited about this opportunity because you will… Be part of an exciting effort to develop and manufacture an autonomous delivery robot Work with our robotics hardware, software, autonomy and operations teams on a daily basis to solve challenging technical autonomous vehicle problems Program manage and help lead development, testing, validation and manufacturing of our current and next generation mechanical, electrical and electronic robotics hardware Take hardware projects from product requirements or engineering concept to public roads driving Work with leaders and engineers across Hardware, Software, Firmware, Controls, Autonomy and Ops to plan, track, follow up and resolve issues Leverage your expertise not only in hardware but software and firmware integration as well Manage vendor relationships domestically and internationally, both for prototyping and mass production. We're excited about you because… B.S., M.S., or PhD. in engineering, e.g. robotics, mechanical, electrical or computer science 8+ years of industry experience working in engineering and program management Experience with software and hardware development processes Experience taking hardware from product requirements to mass production overseas,
We are TRADER , a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca , AutoSync , Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. Learn more at tradercorporation.com . As part of AutoScout24 group , Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. As Senior Data Scientist , you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada. You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Toronto. What you’ll do Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints Mentor other data scientists through hands-on technical guidance, design revi
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n
About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: We’re seeking a Senior Data Engineer to design, build, and operate large-scale, data-intensive platforms in the cloud. In this role, you’ll be responsible for developing reliable data pipelines, scalable data processing systems, and high-availability architectures that support analytics, machine learning, and data science use cases. You’ll work with modern big data technologies and AWS services, contribute hands-on code, lead smaller data initiatives, and mentor junior engineers. This is an ideal role for someone who thrives in complex data environments, values strong engineering fundamentals, and enjoys turning raw data into dependable, production-ready systems. The impact you'll make: Designs and implements sophisticated software systems using either object-oriented or functional programming techniq
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
Who We Are Good Inside is redefining parenting - not as something that should “just come naturally,” but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community. Our mission: help parents raise resilient, confident kids in a changing world. We’ve already reached millions, and we’re just getting started. We’re refining our product and expanding our reach to empower even more families. We’re looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change. The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role – we’re looking for a strong backend engineer who has hands-on experience shipping ML-powered features in production. You’ll work at the intersection of backend systems and machine learning, building the infrastructure and services that bring personalized, intelligent experiences to our users. You should be comfortable working with ML APIs, understanding core ML concepts, and integrating models into reliable, scalable backend systems. Your primary identity is as a software engineer – someone who writes clean, production-grade code – with the added ability to reason about ML systems and bring them to life in our product. You will collaborate closely with cross-functional partners, including product, design, mobile, and data teams, to build high-quality features that serve our users’ needs. Your ability to blend backend engineering excellence with practical ML knowledge will be essential as we continue to evolve and scale the Good Inside platform. What You’ll Own Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform Integrate and orchestrate ML models and third-party ML APIs (
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Video Specialist, you will contribute to SpaceXSI's mission by training and refining Grok's ability to interpret and generate video content with precision and technical depth. Key to this role is expertise in video editing, motion graphics, or VFX, a track record of producing high quality video work, and a strong understanding of how moving images are constructed in post-production. RESPONSIBILITIES: Use proprietary software to provide labels, annotations, and inputs on projects involving video and multimedia elements. Deliver high-quality curated data that captures the nuances of motion, timing, transitions, and visual effects, enhancing Grok's understanding of video as a medium. BASIC QUALIFICATIONS: Portfolio displaying excellence in video work - edited shorts, motion graphics, VFX breakdowns, compositing reels, or similar (personal website, YouTube, Vimeo, X account, ArtStation, etc.). Strong skills in video editing, pacing, color grading, and narrative flow. Hands-on proficiency with tools such as Premiere Pro, DaVinci Resolve, After Effects, Nuke, or similar. Ability to critically analyze and articulate what makes a video sequence work or fail at a tec
About Catch Creation Catch Creation is a global eCommerce company built for the digital age. We create, grow, and manage online brands that inspire customers and deliver real value through exceptional products and experiences. Our team thrives in a fully remote environment, combining creativity, data-driven strategy, and innovation to build scalable eCommerce solutions that perform. From concept to conversion, we specialize in developing brands that stand out in competitive markets—driven by a passion for design, storytelling, and customer satisfaction. Every product we launch reflects our commitment to quality, authenticity, and growth. At Catch Creation, we believe great ideas can come from anywhere—and our remote-first culture allows talented people from around the world to collaborate, innovate, and bring those ideas to life. Job Title Short-Form Content Creator (TikTok / Douyin – China-Based) Location China (Remote or Hybrid depending on city) About the Role We’re looking for a Short-Form Content Creator who specializes in raw, native TikTok and Douyin content and is fully fluent in both Chinese and English . This role is focused on creating high-volume, performance-driven short-form video content — shot on mobile, fast-paced, authentic, and built for engagement. You will work cross-functionally with an English-speaking marketing team while producing content optimized for Chinese platforms and audiences. This is not a polished studio or commercial production role. We’re looking for someone who understands what actually performs on Douyin and TikTok today. A strong portfolio with demonstrable engagement metrics is required. What You’ll Do Create native short-form videos optimized for TikTok & Douyin Film content primarily on mobile (iPhone / Android) Develop strong hooks within the first 1–3 seconds Produce content formats including: Talking-head videos POV and product demonstrations Problem → solution storytelling Trend-based and remix content Native
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