Systems analyst jobs in San Francisco, CA - 2,203 jobs

About the Company: World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. Our products make this possible: the Orb verifies real people, World ID proves it privately, and World App enables and distributes the new applications made possible by this technology. Together, they form a new layer for AI internet. We're one of the fastest-growing networks in tech. More than 17 million people across 160 countries have verified with World ID, and we complete over 350,000 verifications each week. World App is already among the most used wallets globally. Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can't replicate. World was founded in 2019 and launched globally in 2023. We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab. We're backed by leading investors, including a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global, and Coinbase Ventures, as well as prominent operators and founders across fintech and AI. World has been featured on the cover of TIME Magazine, highlighted in Fast Company's Next 5 in Fintech, and explored in a Bloomberg deep dive. New York Times, Bankless and TechCrunch have all recognized our progress in identity, cryptography, AI, and global-scale hardware deployment. Our leadership is also named to the Time AI 100. About the Team Systems & Delivery is the engine inside Central Ops. We design and land the workflows, tools, and processes that make the World project run reliably across every market. We work closely with Product, Market Ops, T&S, and Data teams to translate strategy into real-world execution at speed and scale. About the Role We're looking for a Systems & Delivery Lead who can turn operational chaos into dependable, scalable systems. This role owns the back-office workflows that power Orb operations worldwide: payments, token transactions, operational tooling, and new initiative rollouts. You'll work across functions to ensure clarity, consistency, and adoption. You'll build tools, shape processes, run pilots, write PRDs, and drive global implementation. This is both strategic and hands‑on. If you enjoy building the operational backbone of a global network, this role is for you. What you will do Own the Ops Systems Roadmap and priority workflows end-to-end Lead implementation of new tools and processes across all markets Collaborate with Product on PRDs and feature requirements Manage workflows related to payments, cost attribution, and token transactions Run pilots and tests; gather insights; iterate quickly Deliver clear documentation, comms, and rollout plans Build dashboards and feedback loops with Data Engineering Support experiments and convert learnings into scalable playbooks About you 7-10 years in operations, systems, or technical program management Track record of shipping processes and tools in fast-paced environments Strong analytical and systems‑thinking skills Experience drafting PRDs and collaborating with Product Comfort with ambiguity and willingness to dive into field-level details Excellent communicator who drives alignment across functions Pay transparency statement (for CA and NY based roles): The reasonably estimated salary for this role at TFH ranges from $190,000 - $240,000, plus a competitive long-term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best-in-class, comprehensive, and inclusive employee benefits for this role, including healthcare, dental, vision, 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend, and much more! By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR. #J-18808-Ljbffr

A forward-thinking AI company based in San Francisco is seeking a Senior Business Systems Analyst to join their Finance Systems team. The role involves overseeing the financial planning platform, enhancing data management processes, and collaborating with stakeholders to implement technical solutions that drive effective financial planning. Candidates need extensive experience in business systems analysis, particularly in financial planning, and proficiency in various enterprise systems. This role offers competitive compensation and aims to build scalable financial solutions. #J-18808-Ljbffr

As a Tech Venturing & Innovation Sr. Analyst you will need to be at the forefront of cutting‑edge technologies. You will need to develop new partnerships across the organization and with external partners to build future capabilities together for PepsiCo's operation. You will drive the startup research, analysis & evaluations and lead the rapid pilot onboarding process. Responsibilities Lead cross‑functionally execution of strategic tech innovation programs across Marketing functions, Digital Commerce, AFH (Away-From-Home), and Strategy & Transformation organizations: Streamline working processes with support functions such as EA (Enterprise Architecture), Info Security, Legal, Finance, etc. Partner with project leaders to create project deliverables Develop briefs for new technical capabilities Evaluate startups or other solutions using data‑based approaches and drive the cross‑functional selection process Lead the rapid pilot onboarding process and own vendor management Lead the startup use case research, analysis & evaluation of solution fit to use case Be the face of PepLabs; act as the “eyes and ears” for the organization to source the best emerging tech solutions Build use case assessment criteria to systematically evaluate which startup's technology & overall solution has potential to solve the use case Assess competencies vs. Use case Engage & coordinate cross functional SMEs input to assessment criteria Provide process and pilot thought partnership to business partners and Senior Executives Maintain an external mindset, including staying on top of consumer, competitive, and macroeconomic / technology trends Lead project management across the team and support governance and reporting Contribute to capability building for the entire PepsiCo Labs function (e.g., Training, Knowledge Management, Process documentation, etc.) Manage and coordinate logistics for sector, functional and Labs program meetings with internal and external participants Compensation and Benefits: The expected compensation range for this position is between $76,400 - $127,850. Location, confirmed job‑related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 8% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Experience/exposure in technology and digital innovation Knowledge of PepsiCo's businesses Experience in Consumer and/or Commercial functional areas a bonus, e.g., Marketing, Insights, Digital Commerce, Sales Proficient in Microsoft Outlook, Word, Excel, and PowerPoint with the ability to learn new tools quickly Strong teamwork, professionalism, and interaction with all management levels Effective communication skills, strong collaboration skills and an impeccable standard of excellence Results‑driven with timely task completion Ability to handle multiple priorities, including the ability to make clear and timely decisions Self‑motivated and goal‑oriented Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity #J-18808-Ljbffr

A leading technology company in San Francisco seeks a Software Engineer to design scalable, event-driven billing systems. You will integrate with Stripe and Orb for real-time usage tracking and payments. Responsibilities include developing microservices on Kubernetes, collaborating with cross-functional teams, and ensuring billing accuracy. An ideal candidate has experience with usage-based billing, event-driven architectures, and strong collaboration skills. Compensation ranges from $160,000 to $200,000 plus equity and benefits. #J-18808-Ljbffr

At Ouster, we design and manufacture LIDAR sensors for precision mapping, robotics, automotive, security systems, smart cities and various industrial solutions. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip‑scale laser array and one CMOS sensor. The result is a full range of high‑resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. If you're motivated by solving big problems, we're hiring key roles across the company and need your help! The Role: We're seeking a proactive and skilled engineer who thrives in a dynamic, fast‑paced environment to be an integral part of our San Francisco hardware team. What You'll Do: Architect, define, produce, and manage system‑level requirements for functionally safe sensing products in compliance with standards like ISO 26262. Develop and maintain critical safety work products, including the Safety Plan, HARA, Functional Safety Concepts (FSC), and Technical Safety Concepts (TSC), for both internal design teams and external safety assessors. Responsible for comprehensive requirements management, ensuring end-to-end traceability from system requirements to hardware/software implementation and verification test cases. Leverage Python and AI tools to automate the generation of documentation, streamline verification processes, and create scripts for data analysis and reporting. Manage system engineering artifacts and documentation within version control repositories such as Git. Demonstrate hands‑on experience with the complete lifecycle of a functionally safe sensing product (e.g., radar, lidar, camera) used in automotive or industrial applications. Collaborate closely with cross‑functional teams, including hardware, software, and firmware engineers, to allocate requirements and ensure system‑wide safety goal alignment. Lead and contribute to system‑level verification and validation (V&V) activities, defining test strategies and ensuring comprehensive coverage of all safety requirements. Proven track record of successfully shipping at least one sensing product that has achieved ISO 26262 ASIL‑B certification or an equivalent functional safety standard. Required (Basic Qualifications): Bachelor of Science (B.S.) in Electrical Engineering, Computer Engineering, Systems Engineering, or a closely related technical field. Minimum of 5 years of experience in a systems engineering role, with at least 3 years directly involved in the development of functionally safe products. Demonstrable, in‑depth knowledge and hands‑on application of ISO 26262, particularly Parts 3, 4, 5, and 6. At least 2 years of hands‑on experience using a dedicated requirements management tool, with a strong preference for Jama Connect. Proven proficiency in Python for the purpose of task automation, data processing, or verification scripting. Experience using version control systems like Git for managing engineering work products and documentation. Experience working across the full V-model development lifecycle, from concept definition to system validation and release. A Note on Experience: We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. We encourage you to apply if you believe you have the skills and passion to succeed. The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($160,000-185,000) Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender‑identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. #J-18808-Ljbffr

Ready to play a key role in building the future of living? Join Samara in tackling California's housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we're at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact. To support our next phase of growth, we're hiring product-focused engineers to advance and scale the technical foundation of our modular system. These roles go beyond traditional design work-they refine system standards, improve factory repeatability, and ensure our units are code-compliant, manufacturable, and built to the highest standards of quality and performance. The MEP Systems Engineer will be responsible for the detailed design and implementation of mechanical, electrical, plumbing, and PV systems tailored for modular construction building systems. This role requires a deep understanding of MEP systems combined with practical experience in modular construction. You will collaborate closely with leadership, crossfunctional design and engineering teams to integrate all technical and user experience requirements into our designs to ensure optimal functionality, sustainability, and compliance with all regulations. What You'll Do Design and develop integrated MEP systems for our new and existing designs including solar energy systems, including PV and ESS, optimized for prefabricated modular construction Ensure that solar and energy storage designs align with overall MEP system functionality and building energy requirements Lead the creation of comprehensive design documents, schematics, component material selections and system layouts, preferably using CAD and BIM software Provide technical leadership during the installation and commissioning phases to ensure systems meet design specifications and performance standards Conduct system testing and validation to ensure functionality, efficiency, and safety of both MEP and PV installations Collaborate closely with installation teams to facilitate seamless and efficient factory and onsite implementation of design Engage in research and application of the latest technologies and practices in renewable energy and modular construction Work with program managers and other engineering disciplines to ensure holistic integration of all systems within Samara modular units What We're Looking For Modular construction experience in factory builds, multi-mod, stackable and/or other hands on related experience. Licensed Electrician or Mechanical Contractor -and/or- Bachelor's degree in Mechanical, Electrical, or Energy Systems Engineering, or a related field Professional Engineering (PE) license preferred Minimum of 7 years of experience in one of the following: Mechanical, Electrical, Solar and/or Plumbing System design Comprehensive knowledge of building codes, safety regulations, and sustainability practices relevant to MEP and renewable energy systems Proficiency in design software such as Onshape, Revit, and/or other BIM methodologies preferred Excellent problem-solving skills and the ability to adapt designs to changing technological and regulatory landscapes Strong communication and leadership skills, capable of driving project decisions and managing complex stakeholder relationships Ability to travel to our factory in Mexico up to 25-40%. What We Offer Salary range of $120-160K and performance-based bonuses. Hybrid work schedule with 3 days each week in our Redwood City office. Snacks and Lunch on in-office days Early stage employee equity. Exceptional health, dental, and vision insurance. 401k eligibility after 6 months. Flexible PTO policy. How to Apply If you're excited to support Samara's mission and have the skills to match, we'd love to hear from you. Please submit your resume and a brief letter of introduction to our team. Let's build something extraordinary-together.

A dynamic identity platform company in San Francisco is seeking an experienced Frontend Engineer to design and build key aspects of their identity platform. In this role, you'll solve complex technical challenges and enhance user experiences. The ideal candidate has over 2 years of experience with modern frontend technologies, including React and TypeScript. The company offers a competitive compensation package along with inclusive benefits, aiming to create a diverse and innovative work environment. #J-18808-Ljbffr

💻 Languages: 5+ years of experience in Go, Terraform ✅ Skills: Go, Building and managing large clusters, Linux, Networking, Kubernetes, Virtualization 👉 Who we are E2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents. 👉 About the role You will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps. Your job will be: Building a distributed system for millions and billions of AI agents running on E2B Building an orchestrator for placing sandboxes in the right nodes Adding support for sandbox live migrations Making sure our self-hosting DX is as smooth as possible (we're open-source) Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter) Scaling to millions and later billions of sandboxes running at the same time Building an observability stack starting at the kernel level of virtual machines We're looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time. If you aren't afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you! 👉 What we're looking for 7+ years building distributed systems - You've operated infrastructure at serious scale (100K+ RPS, multi-region, PB-scale data) and understand the trade-offs between consistency, availability, and partition tolerance in practice, not just theory Deep Linux internals expertise - You're comfortable working at the kernel level. You've debugged performance issues using eBPF, understand CPU scheduling, memory management, and can explain the difference between cgroups v1 and v2 without looking it up VM hypervisor experience - You've worked with Firecracker, QEMU, KVM, or similar. You understand virtio, know what a hypercall is, and have opinions about nested virtualization trade-offs Systems programming skills - Strong in at least one of: Go, Rust, C/C++. You've written performance-critical code and know when to reach for lock-free data structures, memory-mapped files, or io_uring Production orchestration experience - You've built or operated orchestration systems (Kubernetes, Nomad, or custom). You understand bin-packing algorithms, resource scheduling, and have dealt with noisy neighbor problems at scale Performance obsession - You've shaved milliseconds off hot paths, understand CPU caches and memory locality, and have profiled production systems under load. You know what "p99 latency" means and care deeply about making it better Networking expertise - Strong understanding of L4/L7 load balancing, network namespaces, iptables/nftables, and how to build secure, isolated network topologies for multi-tenant systems Located in San Francisco or willing to relocate - We work in person as a team and believe in the magic that happens when engineers collaborate face-to-face on hard problems Excited about open source - Comfortable with our code and infrastructure being public. You contribute to discussions, write clear documentation, and help the community succeed with self-hosting 👉 Bonus points for: Experience with userfaultfd (UFFD), copy-on-write mechanisms, or lazy loading GPU passthrough or PCIe device virtualization experience Built or maintained infrastructure for AI/ML workloads Contributions to Firecracker, Cloud Hypervisor, or similar open source projects Experience with observability at scale (distributed tracing, kernel-level metrics) #J-18808-Ljbffr

A leading product engineering firm is seeking an AI Engineer to work on LLM-powered systems. The ideal candidate will have deep Python skills and hands-on experience with LangGraph, LangChain, and FastAPI for building robust backend services. This role promises an innovative work environment focused on excellence and professional growth, contributing to ground-breaking technologies and projects in the tech landscape. #J-18808-Ljbffr

What is Renegade? Renegade is building an unstoppable network for the anonymous exchange of value. Our core permissionless protocol, the Renegade dark pool, solves many problems in current decentralized exchange design: front-running, quote fading, copy trading, toxicity discrimination, and fragmented liquidity. Based on zero-knowledge and multi-party cryptography, Renegade allows for complete trade privacy during the entire trade lifecycle. Zero information about orders, balances, past trade history, or collateral values can leak to third-parties, allowing for strong anonymity guarantees and best execution for large whale traders. Dark pools are well-understood pieces of traditional finance market structure, accounting for 20-40% of TradFi equities volume. We are building the crypto-native analog of dark pools. Renegade is a seed-stage startup backed by some of the best crypto investors, including Naval Ravikant, Dragonfly Capital, Balaji Srinivasan, Tarun Chitra, and Lev Livnev. We work in-person in downtown San Francisco, 6 days a week. What You'll Do As a systems engineer, you will be working on our core off-chain networking protocol. You will optimize network performance to maximize throughput on the exchange. You will work on our off-chain indexer, caching layer, and pubsub system, allowing for traders to have the best view into the network. You will also work closely with the Cairo/StarkNet contract, implementing and optimizing on-chain verification and stateful elements. You'd be a good fit if.. You have a background in Rust development or high-performance systems work. Have an understanding of networking protocols and can optimize network topologies. Interested in working on low-level hardware optimizations, including GPU and FPGA proving. Have worked on building robust and scalable production-ready distributed systems. Our Stack Cryptography: Maliciously-secure SPDZ for MPC, and Bulletproofs for ZKP verification. Languages: Rust for the protocol-layer, Typescript for interfaces and CLI. Networking: libp2p for peer discovery. Settlement: StarkNet for scalability and consensus. #J-18808-Ljbffr

A cloud storage technology company in San Francisco is looking for a Distributed Systems Engineer to work across the stack in building innovative storage solutions. You will be oncall for production systems and will design distributed systems to meet customer needs. The ideal candidate has over 3 years of experience in distributed systems, problem solving skills, and is passionate about enhancing customer experiences. Join us in our mission to revolutionize cloud storage with the next generation of applications. #J-18808-Ljbffr

A leading talent firm is seeking a Software Engineer (C++ Systems) based in San Francisco, CA. The role involves building and optimizing a high-performance C++ GPU virtualization library and debugging complex distributed systems. Ideal candidates will demonstrate strong experience in modern C++ and performance engineering in a startup environment. This position offers a competitive salary and an equity package. #J-18808-Ljbffr

A high-growth generative AI startup in San Francisco is seeking an experienced engineer to architect and scale sophisticated backend systems and machine learning pipelines. This role requires tackling low-latency challenges while collaborating with a top-tier team to redefine human-digital interaction. Ideal candidates will have extensive experience in distributed systems and backend engineering, thrive in fast-paced environments, and contribute to the cutting edge of generative AI technology. #J-18808-Ljbffr

The Revolution Needs You Everyone's talking about AI. But here's the truth: ChatGPT can't send your emails. It can't book your flights. It can't even order you lunch. Why? Because AI is trapped in a chat box. It can't take real actions in the real world. We are changing that forever. We're not just building another AI company - we're creating the infrastructure that will power every AI application you'll use in the future. Why This Is The Opportunity of a Lifetime Founder-Market Fit : Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone. Dream Team : We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms. Perfect Timing : We're at the inflection point of AI adoption. The biggest problem isn't better models - it's connecting AI to real-world actions. That's us. Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building. Backed By The Best : Our investors have backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge. The Challenge We are building the runtime and registry for AI/LLM tools. You will define both how AI interacts with the world, and how humans build and manage those tools. This includes creating production-grade integrations, and the services & toolkits that run them... and the solving the unique problems of AI/LLM usage along the way. We are building a SaaS application first, and then allowing folks to run part of that infrastructure on-site via hybrid deployments. This role is primarily focused on our back-end services, but as an early member of a startup, you'll be working up-and-down the stack. We build our software with Go, Python, and Typescript, and expect you to be a pro in at least one of those. We are looking for people who constantly ship and don't get stuck - we are looking for folks who are always learning and and able to apply that knowledge to their work and teach it to the team. What You'll Do Build the infrastructure to manage the backplane for all future AI tools Design, build, test, and deploy high-performance, secure, production-grade software. Develop SDKs and frameworks that make it easy for other developers to build custom tools Help set industry standards for tool calling and authorization (for example, we helped write the MCP authorization spec) Create integrations with major platforms and LLMs (Google Workspace, Microsoft 365, OpenAi, Anthropic, etc.) Shape the roadmap for the team Build leverage (via AI) - projects that take a week today should take a day next time. Share your work with our customers and community, building our (and your) brand. Required Skills An insatiable desire to ship. 7+ years of software engineering experience comprising of: 5+ years of backend development experience with either Python, Go, Ruby, Typescript, or a similar language and API & Web frameworks. 2+ years of experience with infrastructure and deployment (AWS/GCP, Terraform, Helm, etc) Strong experience building and maintaining production APIs. Track record of writing clean, well-documented, well-tested code. User-centered approach to designing developer-centric products and tools. Bonus Points Experience building developer tools or SDKs Familiarity with LLMs and AI frameworks (Langchain, LlamaIndex, etc) Open-source contributions Experience with high-scale distributed systems Experience leading teams and mentoring more junior developers Familiarity with Typescript and a relevant frontend framework (e.g. React) You've been a startup founder or early-state startup employee before and love it Notes This is an in-person role located in our San Francisco (SOMA) office. We are not able to sponsor visas to the United States at this time. Join The Movement We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real systems. This is your chance to be at the forefront of that revolution. If you want to look back in 5 years and say, "I helped build that", then we want to talk to you. Ready to make AI actually useful? Apply Now #J-18808-Ljbffr

A dynamic tech company in San Francisco is seeking an AI Systems & Data Engineer to design and build data pipelines in Databricks and integrate AI into user-facing flows. The ideal candidate has 5-7 years of experience in production-grade ML systems and is familiar with prompt engineering and LangChain. This full-time role offers competitive compensation and a flexible, engineering-led culture where autonomy is emphasized and focus is protected. #J-18808-Ljbffr

A leading tech company is seeking a seasoned backend engineer to design high-performance systems for real-time data processing. The ideal candidate will have at least 6 years of experience, strong skills in Python and distributed systems, and knowledge of orchestration tools. Responsibilities include developing significant backend services, optimizing workflows, and troubleshooting production issues. This is an on-site full-time role with a competitive salary between $180,000 and $280,000. #J-18808-Ljbffr

An innovative learning platform in San Francisco is seeking a Platform Engineer to build and maintain robust database systems. Candidates should have 2-4 years of experience and be proficient in database technologies like MySQL and BigQuery. This position emphasizes collaboration in a fast-paced environment and requires presence in the office at least three days a week. Competitive compensation and benefits are provided. #J-18808-Ljbffr

A tech-focused financial services firm in California is seeking a Cybersecurity/SRE professional to secure and maintain the reliability of its infrastructure. Responsibilities include building secure applications on AWS, managing identities, and strengthening Kubernetes security. The ideal candidate has expertise in Python, Terraform, and large distributed systems, and holds a proactive, problem-solving mindset. Competitive salary and comprehensive benefits included. #J-18808-Ljbffr

Machine Learning Systems Engineer, Research ToolsAbout 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 the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Research Tools team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety. You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible. You're energized by the challenge of supporting and empowering our research team in the mission to build beneficial AI systems. Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. You'll be responsible for improving the speed, reliability, and ease-of-use of these systems. You may be a good fit if you: Have 2+ years of software engineering experience Like working on systems and tools that make other people more productive Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: Python Implementing LLM finetuning algorithms, such as RLHF Representative projects: Profiling our reinforcement learning pipeline to find opportunities for improvement Building a system that regularly launches training jobs in a test environment so that we can quickly detect problems in the training pipeline Making changes to our finetuning systems so they work on new model architectures Building instrumentation to detect and eliminate Python GIL contention in our training code Diagnosing why training runs have started slowing down after some number of steps, and fixing it Implementing a stable, fast version of a new training algorithm proposed by a researcher Deadline to apply:None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: $300,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn aboutour policy for using AI in our application process Create a Job Alert Interested in building your career at Anthropic? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name * Last Name * Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences * How do you pronounce your name? Website Publications (e.g. Google Scholar) URL Are you open to working in-person in one of our offices 25% of the time? * Select... When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? AI Policy for Application * Select... We believe that AI will have a transformative impact on the world, and we're seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.” Why Anthropic? * Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.) Additional Information * Add a cover letter or anything else you want to share. LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. Are you open to relocation for this role? * Select... What is the address from which you plan on working? If you would need to relocate, please type "relocating". Have you ever interviewed at Anthropic before? * Select... Do you have 8 or more years of software engineering experience? * Select... Do you have experience building and maintaining data processing pipelines or infrastructure at scale? * Select... Have you worked directly with technical stakeholders (like researchers or data scientists) to understand and implement their infrastructure needs? * Select... Are you proficient in Python and have experience working with cloud platforms (AWS/GCP)? * Select... Have you independently owned and delivered technical projects from conception to production? * Select... Do you require visa sponsorship? * Select... Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Anthropic's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select... Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Voluntary Self-Identification of DisabilityForm CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at ***************** . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select... 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