Staff Software Engineer (San Francisco)

Engineering @ Ironclad Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. This is a hybrid role based out of our San Francisco office. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in‑office days for team or company events. As a Staff Software Engineer at Ironclad, you'll work cross‑functionally to identify business problems and architect, build, and verify solutions. You'll build a platform that lets lawyers scale themselves and their businesses 100x more effectively. At Ironclad, we’ve built a product that brings a two thousand‑year old profession into the digital age, and you’ll play a pivotal role in driving the foundation forward. We seek experienced engineers with strong coding fundamentals and a track record of shipping high quality products. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture and offer remote work flexibility. If you’d like to join us on our mission to build the product that legal teams love, let’s talk! What you'll do: Collaborate cross‑functionally with product managers, designers, and other engineers to spec, design, and build features and systems Partner with quality engineers to define, build and maintain testing strategy Lead technical discussions mentor and provide thoughtful feedback to other engineers on the team Grow your teams by interviewing and recruiting talented engineers to Ironclad Work on a modern stack built upon TypeScript, ReactJS, Node.js, Java, and Docker containers in Kubernetes on Google Cloud Platform (experience with these specific technologies not required) What we look for: At least 7 years of software experience architecting, building, launching and maintaining complex systems (a formal degree is not required, we are prioritizing industry experience) Leadership across teams and a drive towards improving overall technical architecture and achieving company‑wide goals Passion for software engineering to build and ship great product Hands‑on experience shipping valuable products to production with real user feedback A high bar for quality Strong cross‑team communication and collaboration skills Ironclad’s Values: drive, intent, integrity, and empathy Benefits: Health, dental, and vision insurance 401k Wellness reimbursement Take what you need vacation policy Generous parental leave for both primary and secondary caregivers Base Salary Range: Staff Software Engineer: $210,000 - $235,000 Senior Staff Software Engineer: $240,000 - $270,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. J-18808-Ljbffr

Security Engineer, Gen AI Meta (Menlo Park)

Meta’s Product Security team is responsible for finding, mitigating, and preventing security flaws across Meta’s family of products, including Facebook, Messenger, Instagram, and WhatsApp. We are looking for a Security Engineer to join GenAI Product Security team to secure Meta AI products and product integrations. Work directly with Meta Superintelligence Labs and other product groups to set secure design standards and build technology to scale and implement protections for novel and evolving agentic security risks. Security Engineer, GenAI Responsibilities Influence and align the organization’s vision and strategy, while engaging our teams to develop and deliver specific, multi-year roadmaps, programs, and projects. Ensure prioritization, resourcing, and timely delivery of this work within a changing business environment Design and implement novel security solutions to protect against AI risks such as prompt injections where no industry standard exists Security Reviews: perform manual design and implementation reviews of products and services that make up the Meta ecosystem, like Instagram, WhatsApp, Oculus, Portal, and more Automated Analysis and Secure Frameworks: build automation (static and dynamic analysis) and frameworks with software engineers that enable Meta to scale consistently across all of our products Developer Guidance: provide guidance and education to developers that help prevent the authoring of vulnerabilities Bug Bounty: help provide technical guidance to our world class bug bounty program and independent security researchers Industry Impact: push the industry forward through conference talks and open source projects to contribute broadly to security for the world Minimum Qualifications B.S. or M.S. Computer Science, Engineering, or related technical discipline, or equivalent experience 10 years experience dealing with security issues web programming languages, development practices, and common bug patterns Experience developing and delivering information on program status for senior leadership Experience leading and managing complex cross‑functional programs Experience with exploiting common security vulnerabilities Preferred Qualifications Experience contributing to the security community (public research, blogging, presentations, etc.) Experience writing software that enables security processes For those who live in or expect to work from California if hired for this position, please clickherefor additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. $213,000/year to $293,000/year bonus equity benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity noticehere. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out theAccommodations request form. J-18808-Ljbffr

Frontend Engineer (San Francisco)

Founding Software Engineer (Frontend) - San Francisco (Hybrid) A seed-stage, venture-backed startup building an AI-powered platform that helps fast-growing teams retain context, decisions, and knowledge as they scale are looking for a Frontend Engineer to join their team. Base pay range $150,000.00/yr - $250,000.00/yr What will I be doing: Building and shipping high-quality frontend features and user experiences Implementing and iterating on new designs in close collaboration with a dedicated designer Owning frontend architecture and technical decisions in an early-stage product Working closely with backend engineers to deliver end-to-end features Moving quickly, learning fast, and adapting as the product and company evolve What are we looking for: 3 years of frontend engineering experience using React and TypeScript Strong product sense and attention to detail in UI/UX implementation Ability to work independently and take ownership in a fast-paced startup environment Comfort collaborating cross-functionally with design and backend teams Bonus points for full-stack experience or prior early-stage startup exposure What’s in it for me: Salary of $150,000 - $250,000 dependent on experience plus meaningful equity at an early stage Strong benefits including UberEats credits, health insurance (medical, dental, vision), fitness and wellness memberships etc. Apply now for immediate consideration! Seniority level Mid-Senior level Employment type Full-time Job function Information Technology J-18808-Ljbffr

AI Engineer — LLM Infra (San Francisco)

Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent‑first, from training our own models to generative product interfaces. Towards this goal, we are looking for a member of the AI technical staff to join the founding team. Someone technically strong, and excited about building superhuman AI agents that take actions on the web. Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design‑minded product thinking to build and deliver on Yutori’s mission. Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei‑Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc. Responsibilities: Scale infra for post-training of multimodal LLMs (CPT, SFT, RL, search, reward models) Scale infra for agentic inference (throughput and latency of perception‑planning‑action loops) Build the foundations of a superhuman generalist web‑agent Work closely with product engineers to translate cutting‑edge AI capabilities into reliable product experiences. What we’re looking for: Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL) Experience optimizing post‑training and inference performance of multimodal LLMs (data/tensor/pipeline/context/expert parallelism, optimizing MFU, throughput, latency) Low level systems experience (Triton, CUDA) High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication. Benefits and perks: Competitive salary and equity Visa sponsorship and relocation stipend to bring you to SF Generous health, dental, vision insurance for you and your dependents 20 days of paid time off per year Work laptop and budget to set up your work office Daily team lunches Commuter benefits Small, focused team of high‑potential individuals. In‑person in SF. J-18808-Ljbffr

AIML - Sr. Applied Machine Learning Engineer - Answers, Knowledge & Information (AKI) (Santa Clara)

Overview Summary Do you want to make Siri and Apple products smarter for our users? Our Answers, Knowledge & Information (AKI) team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on real-time augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user-facing production services. We are part of a wider effort to power information across a variety of Apple products – including: Siri, Spotlight, Safari, Messages, Lookup, and more. Responsibilities As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. You will be using and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents, and generate helpful answers. You will also work on horizontal areas such as data generation, evaluation, and safety. The team includes a diversity of backgrounds from applied machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. Minimum Qualifications Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models Proficient in at least two programming languages such as: Go, Swift, Python, C/C++, or Java 3 years of industry related experience, working in collaborative environments Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience Preferred Qualifications Analyzing search ranking and relevance requirements issues and opportunities Building machine-learned models for search relevance ranking, query understanding, and questioning Understanding product requirements then translating them into modeling tasks and engineering tasks Masters or PhD in the area of Computer Science or equivalent, or a related field Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Equal Opportunity Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. J-18808-Ljbffr