
Variance · San Francisco
ROLE At Variance, we are teaching machines to make the hardest judgment calls at scale. That means building AI agents for the high-stakes gray area of risk inv...
At Variance, we are teaching machines to make the hardest judgment calls at scale. That means building AI agents for the
high-stakes gray area of risk investigations, fraud, and identity reviews.
We’re a small, talent-dense team in San Francisco working on a problem at the edge of what AI systems can reliably do: making good
decisions in messy, adversarial, real-world environments. We focus on building, high-consequence systems problems where the edge
cases matter most.
We’re looking for a Research Engineer to help define how we measure and improve model quality. You’ll build the benchmarks,
datasets, tooling, and evaluation loops that tell us whether our systems are actually getting better on the tasks that matter.
This role sits at the center of research, product, and engineering. It is about creating rigorous, domain-specific evaluations
that reflect real customer workflows, expose meaningful failure modes, and drive the next generation of model and agent
improvements.
the evaluation actually measures what matters
We believe in ownership, urgency, and craft. We enjoy spirited debate, wild ideas, and building things we’re proud of. We’re fully
in-person in San Francisco.
ROLE At Variance, we are teaching machines to make the hardest judgment calls at scale. We build AI agents for the high-precision gray area of stopping fraud, scams, and abuse. This isn't another sales tool or a customer service system. We're solving real problems in investigations and fraud prevention to protect innocent people from being harmed. We’re a small, talent-dense team in San Francisco working on a problem at the edge of what AI systems can reliably do: making good decisions in messy, adversarial, real-world environments. We’re looking for a Research Engineer to help push that frontier forward. You’ll design evals, study failures, build new research loops, and turn research ideas into production capabilities. This role sits at the intersection of research and engineering: part model builder, part experimentalist, part systems engineer. YOU’RE A FIT IF YOU: * Care deeply about protecting people from fraud, scams, and abuse * Have strong opinions about model quality, evaluation, and experimental rigor * Want to work on core model and agent behavior * Are excited to train, fine-tune, and improve models for hard real-world judgment tasks * Think in tight research loops: hypothesis, experiment, evaluation, failure analysis, iteration * Thrive in ambiguous, fast-moving environments where the path is not obvious and the feedback loop is short * Are motivated by the challenge of making AI systems work in adversarial, regulated, and high-consequence settings * Want to help define what trustworthy AI means in real-world use cases WHAT YOU’LL DO * Train, fine-tune, and improve models for fraud, scams, abuse, and other high-stakes judgment workflows * Own research threads focused on improving agent capability, reliability, and decision quality * Build proprietary benchmarks, datasets, and evals that reflect real customer workflows, regulatory constraints, and real failure modes * Design and run experiments across post-training, retrieval, tool use, planning, memory, and long-horizon agent behavior * Study where models break, why they break, and how to make them more robust * Prototype new training strategies, agent architectures, and evaluation methods, then turn the best ideas into production systems * Work closely with founders and engineering to translate research advances into deployed product capabilities * Push the boundary of what AI agents can do in regulated industries WHAT SUCCESS LOOKS LIKE * Our models get materially better at making hard judgment calls in production * Our models are trusted at scale * We develop evals and training loops that compound over time * We understand failure modes more clearly and improve system behavior faster * New research ideas turn into real product capabilities quickly PREFERRED BACKGROUND * Experience training, fine-tuning, or evaluating modern ML systems * Strong programming skills and comfort working in research-heavy codebases * Familiarity with LLMs, agent systems, post-training, reinforcement learning, retrieval, or adjacent areas * Ability to design clean experiments and draw reliable conclusions from noisy results * Strong engineering judgment and a bias toward building * Interest in fraud, risk, trust and safety, compliance, or other regulated and adversarial domains OUR CULTURE We believe in ownership, urgency, and craft. We enjoy spirited debate, wild ideas, and building things we’re proud of. We’re fully in-person in San Francisco. WHAT WE OFFER * Competitive salary and meaningful equity * Platinum-level medical, dental, and vision insurance * Unlimited PTO, sick leave, and parental leave * Up to $100 per month in reimbursement for personal health and wellness expenses * 401(k) plan
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! AI Platform teams build the core frameworks, abstractions, and systems that support AI features across Figma. We create new capabilities that AI product teams can build on, while collaborating with teams from around the company to improve our performance, reliability, and technical quality. We’re looking for strong infrastructure and platform-minded engineers to contribute to our agent infrastructure, context retrieval & ranking platform, and core AI services, in order to accelerate our most critical company-wide AI initiatives. Here are just a few areas our platform teams work on: * Evals for design: Building evaluation frameworks for design generation quality that are used across every Figma AI feature. * Agentic search: Providing relevant context from throughout the Figma ecosystem to agents via search tools, in order to improve agent quality. * Figma MCP: Making our MCP server faster, more reliable, and easier for internal & external engineers alike to develop on. * Agent infrastructure: Iterating on the sandboxes, harnesses, and tools leveraged by the agents that power Figma Make and the Figma Design Agent. * Preview & publishing platforms: Creating the shared platforms for building, previewing, and publishing code written by agents via Figma Make. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: * Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. * Collaborate with product, research, and infrastructure engineers working across AI. * Help shape our platform strategy, roadmaps, and engineering best practices throughout the organization. * Debug and resolve complex production issues that span services and layers of the stack. * Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence. We'd love to hear from you if you have: * 5+ years of Software Engineering experience, especially in backend or infrastructure engineering. * 3+ years of experience in one or more of: AI, search infrastructure, or developer platforms. * Proficiency in TypeScript, Python, or Ruby. * Strong system design skills and a track record of architecting resilient production systems. * Excellent communication skills, with experience collaborating across teams and mentoring others. While not required, It’s an added plus if you also have: * Prior experience in building AI infrastructure at scale, whether that be model training or serving platforms. * Experience evolving large-scale, shared developer platforms to improve reliability and developer velocity. * A proven track record of leading technical strategy and complex, multi-team projects. At Figma, one of our values is Grow As You Go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range: $153,000—$376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: * Holding interviews in an accessible location * Enabling closed captioning on video conferencing * Ensuring all written communication be compatible with screen readers * Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The Role This is a unique opportunity to sit at the intersection of law, technology, and product. You’ll gain hands on experience in how cutting edge AI is transforming the legal industry, while contributing directly to the development, testing, and adoption of our platform. You’ll work closely with our Legal Engineers, Customer Success, and Product teams to: * Support client facing pilots, onboarding, and training, helping legal teams get the most out of Legora. * Design and evaluate use cases that showcase our AI on real legal tasks like contract review, research, and drafting. * Capture insights from users and translate them into clear, actionable feedback for product improvements. * Document best practices and contribute to internal playbooks for how legal AI can be deployed at scale. What You Bring * Exposure to and Interest in Law: Completed J.D. preferred; some legal or legal innovation work experience (e.g., paralegal, clerk, etc.) required. * Level of Experience: 0-2 years (Trainee/paralegal) * Tech curious: Not necessarily a coder, but eager to engage with AI, product features, and workflow automation. Someone who is not afraid to experiment with prompt engineering. * Strong communicator: Able to translate between lawyers and technologists clearly and confidently. * Analytical and detail-oriented: Capable of evaluating outputs and spotting where AI meets or misses the mark. * Adaptable and proactive: Comfortable working in a fast-moving environment, bringing structure to ambiguity. What’s In It For You * Global collaboration: Partner with teams and clients across Europe, APAC, and North America. * Competitive package: Comprehensive salary, benefits, and tools for success. * Meaningful work: Your efforts shape how thousands of lawyers use AI daily. * In-person environment: San Francisco office designed for ambitious builders and company provided lunch daily. * Benefits & Perks: We invest in our people with a comprehensive, thoughtfully designed benefits package: Medical, Dental & Vision * Multiple medical plan options through Aetna and Kaiser Permanente * HSA or Healthcare FSA (based on plan selection) * Dental plans via MetLife * Vision plans via Vision Care Family Support * Generous parental leave * Free access to Maven Clinic * Dependent Care FSA * Free One Medical membership for employees and dependents Additional Perks * Pre-tax commuter benefits * Life Insurance + STD/LTD * 401(K) with generous company match * Unlimited PTO * Professional License & Certification Reimbursement * Robust voluntary benefits, including identity protection (via Aura), legal coverage via MetLife, pet savings programs, and more Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.