Legal Engineer Associate

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs works across a broad variety of AI/ML initiatives—including core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, and recommender systems. This is the group that develops the foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product. We are currently hiring for the Visual Modeling team in Labs, which develops Pinterest's in-house visual encoder. In this role, you'll work with Pinterest's rich visual-text dataset to train large-scale models from scratch that are continuously shipped to production to power visualization features. You'll build multimodal representations that power applications such as recommender systems, Semantic IDs, and a range of downstream ML models. The visual encoder also produces visual tokens that power our in-house VLM and composed image retrieval models. The core visual pod is a small group (~10 engineers) inside Labs, which allows for deep collaboration. For example, engineers working on multimodal representation also contribute to our internal text-to-image generation Canvas project—collaborating on autoencoder design or on reward function development for RL training.   What you’ll do: * Prototype state-of-the-art visual encoders that power Pinterest's recommender systems and internal visual language models. * Experiment with billion-scale datasets and gain hands-on experience with large-scale GPU computing. * Build flexible visual reasoning tools such as composed image retrieval, promptable detection/segmentation, and instruction-tuned embedding and generative models. * Read research papers, participate in group discussions, and help brainstorm the company's overall visual generative strategy. * Help collect relevant visual instruction training data that can be shared across multimodal representation, composed image retrieval, text-to-image generation and visual language modeling. * Publish and share your work through conferences, paper submissions, and blog posts. * Mentor junior researchers and research interns within the Pinterest Labs organization. *   What we’re looking for: * Research engineers and scientists with experience building and training computer vision models. * Experience with multimodal representations and visual language modeling is strongly preferred. * A track record of research contributions (e.g., publications, open-source work) and/or shipping ML models to production. * Hands-on experience with large-scale model training and modern deep learning frameworks (e.g., PyTorch). * Strong collaboration skills and a demonstrated ability to work effectively in a small, fast-moving team. * M.S. or PhD in Machine Learning or related academic areas, or equivalent work experience. * Publications at top ML conferences * Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.   #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $189,308—$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product. We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you’ll get to work with Pinterest’s rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways. What you’ll do: * Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills. * Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company. * Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc. * Publish and publicize your work via conferences, paper submissions, blog posts, etc.  * Mentor more junior researchers or research interns within the Pinterest Labs organization. What we’re looking for: * Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. * 5+ years of industry computer vision experience. * M.S. or PhD in Machine Learning, Computer Science, or related areas. Nice to Have: * Publications at top ML conferences. * Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring. * Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $161,263—$332,012 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Legora

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. What You'll Do Let’s get the tricky part out of the way: this role doesn’t fit neatly into a traditional box. It’s part legal ops, part product specialist, part solutions architect, and part client whisperer. If you enjoy roles that stay static, this probably isn’t it. Your mission is to help our clients, some of the most respected legal teams in the world, get the absolute most out of our platform. Some of what you’ll be up to: * Acting as a thought partner to clients - building trusted relationships, addressing tricky pain points, and identifying high-value opportunities for them to scale their use of Legora. * Working together with Customer Success in taking full ownership of client relationship - from running pilots in the early stages, to onboarding new users, and ultimately guiding full-firm adoption across major law firms and corporate legal departments. * Be the voice of the user inside Legora - sharing insights that directly inform product development, roadmap priorities, and strategic direction. * Delivering clear, confident product demos and training that bring the power of our platform to life. * Documenting best practices, contribute to the development of scalable playbooks, and help shape how we grow this function globally. * Confidently helping our clients navigate one of the biggest shifts in how the legal business operates - from evaluating the ROI and impact of AI to clearly mapping how AI will impact different practice areas What You Bring You come from the world of law; but you’ve never been content with how things have always been done. You may have started out at a top-tier law firm. Maybe you’ve worked in a corporate legal team, seeing thorny operational problems from the inside. Perhaps you've even tried disrupting the status-quo through a legal tech company, or ventures of your own. Either way, you've had experience beyond the traditional legal career path. Either way, you know how legal teams think, work, and (sometimes) struggle and you're ready to help them level up with technology. * Have a background in law, with experience at a top-tier firm or in-house legal team. * Are tech-curious and product-savvy. Not necessarily a coder, but passionate navigating technical conversations, especially around things like generative AI, technology implementation, innovation and productivity . * Communicate clearly and confidently with diverse stakeholders, both lawyers and engineers. I.e. translating across disciplines is second nature to you. * Bring structure to ambiguity and energy to complexity; and enjoy being the calm, credible presence in a fast-moving environment. * Understand how to evaluate and improve existing processes as a direct result of new and emerging technologies * Are proactive, self-directed, and comfortable juggling multiple client relationships at once. * Care deeply about quality, but don’t get stuck in perfectionism - you get things done, and you make them better over time. What’s In It For You * Global collaboration: Partner with teams and clients domestic and internationally. * Competitive package: Comprehensive salary, benefits, and tools for success. * Meaningful work: Your efforts shape how thousands of lawyers use AI daily. * In-person environment: Union Square office designed for ambitious builders. * 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 * 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.