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Job Description The Problem Severe mental illness affects over 15 million adults in the United States. Schizophrenia. Schizoaffective disorder. Bipolar I. Treatment-resistant depression. These are the conditions the rest of healthcare has systematically failed to build for. What makes this problem different from most of healthcare is that the tools to solve it do not exist. The clinical protocols, the measurement science, the precision medicine, the technology to deliver coordinated longitudinal outpatient care for this population. None of it has been built. This is a frontier problem, and it requires frontier science and care delivery to solve. We are developing all of it. The care, the science, the technology. Who We Are Amae Health is a Series B, venture-backed Public Benefit Corporation delivering specialty outpatient care for people with severe mental illness through high-acuity, in-person clinics nationwide. Our integrated model brings psychiatry, therapy, primary care, dietitians, and community support together under one roof. Leading health systems—including NewYork-Presbyterian, Cedars-Sinai, Mass General Brigham, Novant Health, and CommonSpirit—collaborate with us to expand this level of care. Alongside care delivery, we are building the science and technology the field has long lacked—proprietary clinical protocols, novel measurement, and an AI-driven data platform designed for severe mental illness. The impact: fewer hospitalizations, greater stability, and more people living meaningful lives in their communities. The Role Amae is building a care model for people with severe mental illness that doesn't exist anywhere else — deeply integrated, in-person care delivered in partnership with leading health systems. As we scale, we're building the compliance and quality infrastructure to match. We're hiring a Quality & Compliance Manager to own and operationalize this work — with a primary focus on Joint Commission readiness and ongoing accreditation. This is a builder role. You'll take complex regulatory requirements, turn them into clear systems, and drive execution across clinical and operational teams. You won't wait for direction. You'll figure it out and get it done. What You'll Work On Regulatory Compliance • Monitor changes in federal, state, and local laws and ensuring adherence to CMS, HIPAA, and accreditation standards, including The Joint Commission, • Own ongoing compliance across all clinics, • Lead surveys end-to-end: prep, execution, follow-up, • Translate regulatory requirements into clear, usable workflows, • Build and maintain policies, procedures, and compliance infrastructure, • Own core quality metrics (follow-ups, readmissions, documentation compliance), • Lead root cause analyses and drive improvement initiatives, • Own incident and grievance processes end-to-end, • Conduct audits, identify gaps, and drive corrective actions, • Maintain a clean, usable P&P library with strong version controlWhat You Bring, • 4–7 years in healthcare compliance, quality, or regulatory roles, • Strong familiarity with Joint Commission (behavioral health preferred), • Experience supporting or leading a TJC survey is a strong plus, • Proven ability to operate independently in ambiguous environments, • Strong project management — you can drive multiple workstreams to completion, • Ability to translate complex regulations into clear, actionable guidance, • Analytical mindset — you use data to identify issues and drive improvement, • Behavioral health or PHP/IOP experience, • Clinical background or licensureHow You Work, • High ownership — you don't wait, you move, • Structured and detail-oriented, without losing speed, • Low ego, high standards Compensation includes a base salary of $112,000 - $175,000 (based on level, experience and geography) plus equity ownership, giving you a meaningful stake in Amae's growth. Total compensation includes comprehensive medical/dental/vision, unlimited PTO, parental leave, and programs built around employee well-being. We'll share specifics during the interview process. Amae Health is building the care platform, the precision medicine, and the frontier science that severe mental illness has never had. If you want to be part of creating something this hard and this important, something that has never been done, we'd like to talk. What We Value We center care in all we do. Empathy is not a brand value. It's how we make clinical decisions, build products, and treat each other. We challenge convention. The existing system is the problem. We question it, we test alternatives, and we move with urgency when something works. We take the work seriously, not ourselves. High standards and humanity are not in tension. We hold a hard bar for quality while leaving room for humor and levity. Your job isn't done until the job is done. We close gaps, we follow through, and we don't hide behind titles or org charts. We win together and fail together. We own outcomes as a team. We learn fast. We don't do blame. We hustle with humility. Speed matters. So does integrity. We assume best intent and stay grounded in the mission.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Materials Science Expert Type: Contract Compensation: $55–$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use day-to-day. Include experimental write-ups, characterization reports, simulation results, technology transfer memos, IP disclosures, project proposals, and email threads. Represent platforms like VASP, Materials Studio (Biovia), LabVantage LIMS, and ANSYS Fluent., • Design multi-step tasks grounded in your real workflows. Require navigating multiple apps, files, and stakeholders to challenge frontier AI agents meaningfully., • Collaborate with other materials-science experts to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for materials-science agent benchmarks. Must-Have • MS / PhD in materials science, chemistry, physics, or related discipline., • 3+ years of full-time experience at a Fortune 500 R&D organization, national lab, or R1 university materials research group., • Background in metals, polymers, ceramics, composites, or semiconductor materials., • Experience in characterization (XRD, SEM/TEM, spectroscopy, thermal analysis)., • Computational materials science / DFT / MD., • Process development and scale-up., • Reliability / failure analysis in advanced materials., • Day-to-day use of VASP, Materials Studio (Biovia), LabVantage / LabWare LIMS, and ANSYS Fluent / STAR-CCM+., • Upload resume, • AI interview based on your resume

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Materials Science Expert Type: Contract Compensation: $55–$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use day-to-day. Include experimental write-ups, characterization reports, simulation results, technology transfer memos, IP disclosures, project proposals, and email threads. Represent platforms like VASP, Materials Studio (Biovia), LabVantage LIMS, and ANSYS Fluent., • Design multi-step tasks grounded in your real workflows. Require navigating multiple apps, files, and stakeholders to challenge frontier AI agents meaningfully., • Collaborate with other materials-science experts to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for materials-science agent benchmarks. Must-Have • MS / PhD in materials science, chemistry, physics, or related discipline., • 3+ years of full-time experience at a Fortune 500 R&D organization, national lab, or R1 university materials research group., • Background in metals, polymers, ceramics, composites, or semiconductor materials., • Experience in characterization (XRD, SEM/TEM, spectroscopy, thermal analysis)., • Computational materials science / DFT / MD., • Process development and scale-up., • Reliability / failure analysis in advanced materials., • Day-to-day use of VASP, Materials Studio (Biovia), LabVantage / LabWare LIMS, and ANSYS Fluent / STAR-CCM+., • Upload resume, • AI interview based on your resume

HEAD OF PRODUCTION We are UNR — an award winning, tech-forward, full service creative production company that supports agencies, brands and distributors alike across all media, genres, channels and formats globally at scale. We are ambitious, growing and shaping the next era of integrated production. We bridge the gap between the entertainment and brand worlds, and are equally respected and acknowledged in both. We’re seeking a Head of Production to lead our global expansion, with a primary focus on North America. With studios in NYC, LA, DET & TOR, this person will lead our production teams, grow our revenue and represent UNR’s creative, strategic and cultural vision. This is the person responsible for ensuring UNR delivers world-class creative work across everything we make, operates effectively and efficiently with our external clients and our internal disciplines, and continues expanding our capabilities and reputation as a future forward, next generation production company. This is a leadership role for someone who thrives in a creatively driven, hybrid environment—part executive, part producer, part creative, part technologist and part culture-builder. ROLE OVERVIEW The Head of Production will oversee all production disciplines—Live Action, Photo, Post, AI, Experiential and Integrated Content—and serve as the primary executive steward for UNR’s creative output and production business. You will guide creative and strategic decision-making, manage senior client and agency relationships, build and optimize high-performing production teams, and drive commercial growth in each office. This role requires a solutions minded, creatively oriented, resourceful, practitioner who can operate within the work and the client meetings, not just above them. The ideal candidate brings diplomatic excellence, deep production and post production expertise, digital and generative technology knowledge, financial acumen and a highly collaborative leadership style. Our Unreasonable Head of Production will focus predominantly on always elevating Production & Post Production. This means a thorough understanding of the marketplace, interest and experience with well known production companies, best in class and emerging talent whether directors, DPs, editors, special effects talent, producers as well as the clients and their often complex needs in an ever evolving production environment. KEY RESPONSIBILITIES 1. Function Leadership • Provide overall production leadership for UNR — operationalising production capabilities, ensuring creative excellence and accuracy and diligence in delivery in all instances., • Serve as the senior-most representative in Production for UNR across all global clients, partners and agency collaborators., • Demonstrate thought leadership and practical implementation across AI and generative tech, video, post, social, photo, design and other emerging technologies., • Collaborate with global UNR leadership including Finance, Operations, Talent, etc. to align practice, culture and standards across all offices, clients and partners., • Serve as our public facing ambassador when it comes to clients, consultants, conferences, creative delivery and the community of production. 2. Oversight of Production & Post • Oversee production across all disciplines and formats—from brief, bidding, creative treatment, budgeting, shooting, editorial and finishing through execution and delivery—ensuring efficiency, profitability, and world-class quality and creative standards we are known for., • Provide management, guidance and oversight to Executive Producers, Integrated Producers and Post teams., • Create and uphold production frameworks, processes, project management and workflows using the latest tools, technology and software to their greatest effect. Demonstrate excellence in customization not just automation., • Maintain accountability for on-time, on-budget and on-scope delivery across the entire portfolio., • Drive the strategic adoption of Generative AI and machine-learning tools across the production lifecycle—from AI-assisted storyboarding and pre-visualization to automated rotoscoping, dialogue cleanup and "vanity" VFX in post—ensuring UNR remains at the frontier of production efficiency., • Move AI from "experimentation" to "standard operating procedure" by building robust guardrails for ethical AI use, IP protection, and quality control, ensuring that AI-enhanced outputs meet our world-class creative standards., • Be a leader in standardizing and optimizing the Adobe Creative Cloud ecosystem across all global hubs (NYC, LA, DET, TOR, LON), leveraging Adobe Creative Cloud, Workfront, AEM and Frame.io to ensure a Chase the Sun talent optimization, seamless asset sharing, real-time collaboration and version control across time zones., • Lead the ongoing evolution of our post-production stack, ensuring teams are trained on the latest Adobe features (such as Firefly-powered Generative Fill or AI-based audio enhancement) to reduce manual labor and maximize creative "maker" time. 3. Team Leadership, Development & Culture • Mentor and inspire all production personnel to produce the very best work across the entire production eco-system ensuring exceptional creative delivery and flawless execution., • Build the next wave of UNR talent: recruit, hire, coach, and develop producers, coordinators, creative production specialists and beyond., • Foster a proactive, highly creative, supportive, accurate and solutions-oriented environment. Build on our “maker’ mentality and craft culture., • Model leadership and mentorship at all times—setting the standard for how UNR shows up on set, with clients, and with each other., • Develop best-in-class client service and hospitality on behalf of UNR around productions, new studios, major industry events and conferences, etc. 4. Financial Management & Commercial Growth • Own the financial performance of production jobs including revenue forecasting, cost controls and profitability targets., • Partner closely with CEO, Finance & Operation to build regular business reports, revenue analysis and annual planning., • Create pricing models, rate cards, SOW frameworks, partnership agreements and scalable commercial systems., • Expand external client revenue within the Stagwell network; build relationships with brands, agencies and production partners to grow the UNR pipeline., • Adept at leveraging emerging production technologies to modernize workflows, reduce manual effort and elevate the quality and consistency of outputs. 5. Client & Agency Relationship Leadership • Serve as the senior point of production contact for key stakeholders at all Stagwell agencies, • Build long-term relationships with agency partners and external clients; ensure UNR is seen as an indispensable creative production partner., • Deliver executive oversight on pitches, treatments, creative decks, and major production approaches., • Champion a “find a way” mindset—warm, collaborative, fast and solutions-oriented. 6. Business Development & Brand Expansion • Showcase new talent, new projects, new technologies, new techniques that will help UNR develop new business., • Identify new revenue streams, new services, strategic partnerships and new categories where UNR can excel., • Attend industry events, festivals and emerging-tech environments on behalf of UNR, representing our capabilities and creative point of view. 7. Cross-Office Leadership & Travel • Maintain a strong presence across all N.A. offices; expect to be on the road visiting offices, sets, clients and partners, • Ensure cohesion across time zones, teams and active productions., • Train leadership, improve communication systems and ensure all offices work as one UNR. WHO YOU ARE • A seasoned production executive with 12–15+ years across live action, post, photo, animation integrated content and emerging/generative tech., • Experience beyond advertising agencies, very ideal in clear production first environments and/or in-house set ups., • A natural leader who balances creative ambition with operational rigor., • Comfortable balancing craft, commerce, creativity and culture., • Hands on vs hands off. Rolls sleeves up and works through problems on eye level., • Entrepreneurial, resourceful and excited to grow a new business., • A trusted advisor to agencies, directors, creatives and brand clients., • A mentor and culture builder—someone people love working with., • Calm under pressure; decisive; endlessly solutions-oriented., • Ideally based in New York, Detroit or Los Angeles.

management consulting methodologiesstrategic analysisbusiness process improvementorganizational transformationcase study developmentbusiness frameworkswritten communicationverbal communicationanalytical skillsproblem-solvingremote team collaborationattention to detailindependent workclient-ready deliverablesmentoringbusiness transformationdigital transformationai-driven business modelsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Management consultant Job Type: Contractor Location: Remote Job Summary: As a Management consultant, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Provide expert insights on management consulting methodologies, strategic analysis, and business transformation practices., • Review, assess, and refine complex business scenarios, documents, and case studies to ensure accuracy and relevance., • Deliver high-quality, detailed written and verbal feedback to help improve AI system outputs and reasoning capabilities., • Collaborate remotely with the customer’s team to support the training and evaluation of AI models with real-world management consulting perspectives., • Leverage your advanced experience to identify gaps, propose improvements, and ensure alignment with industry best practices., • Utilize strong communication skills to clearly articulate recommendations and process flows in both written and spoken formats., • Continually stay updated on management consulting trends to provide current, impactful input into the AI training process. Required Skills and Qualifications: • Minimum of 4+ years’ experience as a management consultant, ideally with a top-tier consulting firm., • Proven expertise in strategic projects, business process improvement, and organizational transformation., • Exceptional written and verbal communication skills with high attention to detail., • Ability to synthesize complex problems and deliver practical, actionable insights., • Strong analytical skills and experience working with cross-functional teams in remote environments., • Experience developing or reviewing case studies, business frameworks, and client-ready deliverables., • Self-motivation and discipline required for high-quality independent work. Preferred Qualifications: • MBA or advanced degree in business, management, or a related field., • Familiarity with digital transformation initiatives or AI-driven business models., • Demonstrated experience mentoring or training consultants or business professionals.

$60 - $120/hourpayJavaScriptTypescriptReactAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Frontend Engineer Job Type: Contract Location: Remote Job Summary: Join our customer's team as a Frontend Engineer, where you will be instrumental in crafting seamless, intuitive, and robust web applications. As an expert in frontend technologies, you will play a key role in delivering delightful user experiences and collaborating within a high-performing, remote-first environment. Key Responsibilities: • Architect, develop, and maintain scalable web interfaces using JavaScript and TypeScript., • Collaborate closely with designers, product managers, and backend engineers to deliver high-quality solutions., • Ensure cross-browser compatibility and optimize applications for maximum speed and scalability., • Implement best practices in frontend engineering, code reviews, and continuous integration., • Translate complex requirements into clean, efficient, and reusable code components., • Communicate clearly and proactively through written and verbal channels, contributing to a strong team culture., • Troubleshoot, debug, and enhance existing applications for optimal performance and user satisfaction. Required Skills and Qualifications: • 3+ Years of Expert-level proficiency in JavaScript and TypeScript with hands-on experience in modern frontend frameworks., • Demonstrated track record of delivering high-quality, production-ready web applications., • Strong ability to write clear and maintainable code, adhering to industry standards., • Exceptional written and verbal communication skills, fostering effective remote collaboration., • Ability to work autonomously while staying closely aligned with the broader team goals., • A keen eye for detail and a passion for delivering outstanding user experiences., • Proven experience troubleshooting and resolving complex frontend issues. Preferred Qualifications: • Background in building accessible and responsive web applications., • Experience working in distributed, remote-first engineering teams., • Familiarity with agile methodologies and modern development workflows.

LegalContract Review & NegotiationCase AnalysisRisk AssessmentCorporate LawRegulatory ComplianceLitigation SupportLegal ResearchDue DiligenceDispute ResolutionConfidentiality & EthicsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Legal Specialist Job Type: Contractor Location: Remote Job Summary: Join our customer's team as an expert Legal Specialist, where your expertise will play a pivotal role in shaping robust legal solutions. You will collaborate closely with domain experts and product teams to review, negotiate, and analyze contracts, ensuring legal compliance and risk management in a dynamic, application-driven environment. Key Responsibilities: • Conduct thorough contract review, drafting, and negotiation to optimize business outcomes while managing risk., • Analyze cases and perform in-depth legal research to provide actionable insights and recommendations., • Support litigation and dispute resolution by preparing documentation and assisting internal and external counsel., • Assess regulatory compliance and assist with due diligence for corporate matters, mergers, and acquisitions., • Design system prompts and rubrics for legal applications, engaging in multi-turn conversations with agents to ensure task accuracy and coherence., • Uphold the highest standards of confidentiality and professional ethics in all legal processes and communications., • Collaborate across teams to build and enhance legal tools or applications, leveraging your industry expertise. Required Skills and Qualifications: • Proven expertise in legal principles, corporate law, and regulatory compliance., • Strong contract review and negotiation abilities across a variety of legal domains., • Demonstrated experience in case analysis, risk assessment, and due diligence., • Hands-on experience in litigation support and dispute resolution., • Exceptional written and verbal communication skills, with a keen attention to detail and clarity., • Deep commitment to confidentiality, ethics, and integrity in all legal matters., • Track record of building or contributing to legal applications, tools, or systems. Preferred Qualifications: • Experience designing legal-focused conversational agents, rubrics, or AI-driven workflows., • Background in developing digital legal solutions or productizing legal expertise., • Ability to manage complex multi-turn conversations and system prompt design.

$40 - $100/hourpayQGISGeographyMappingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: QGIS Expert Job Type: Contract Location: Remote Job Summary: Join our customer's team as a QGIS Expert, where your deep expertise with QGIS will have a direct impact on the next generation of spatial analysis technology. This is a unique opportunity to not only showcase your mapping and project management abilities, but also contribute to teaching AI how top QGIS professionals think, reason, and solve complex spatial challenges. Key Responsibilities: • Lead end-to-end projects in QGIS, from raw spatial data acquisition and cleaning to final map outputs and comprehensive deliverables., • Document your workflow and reasoning in real-time as you perform data management, spatial analysis, and map production tasks., • Organize, clean, and validate diverse spatial datasets, ensuring high accuracy and consistency throughout the process., • Manage projections, coordinate systems, and spatial references to optimize data interoperability and output quality., • Style and symbolize map layers for clarity, interpretability, and professional presentation in various contexts., • Build advanced layouts and cartographic products, explaining your design decisions along the way., • Troubleshoot issues and explain problem-solving strategies as they arise within QGIS workflows. Required Skills and Qualifications: • Extensive hands-on experience with QGIS, including managing full GIS projects independently., • Proven track record of delivering high-quality spatial analyses, maps, and geospatial outputs using QGIS., • In-depth understanding of spatial data formats, coordinate systems, projections, and related GIS principles., • Exceptional written and verbal communication skills, with the ability to clearly explain technical decisions and workflow rationale., • Strong data organization, cleaning, and transformation skills within QGIS., • Experience troubleshooting and resolving complex challenges in GIS workflows., • Comfortable working remotely while maintaining consistent project documentation and communication with the broader team. Preferred Qualifications: • Experience documenting GIS processes for training, teaching, or AI research purposes., • Background in mentoring or collaborating within multi-disciplinary GIS teams., • Familiarity with integrating QGIS with other geospatial tools or programming languages.

$50 - $120/hourpayGodotGame DevelopmentAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Godot Game Engine Expert Job Type: Contract Location: Remote Job Summary Join our customer's team as a Godot Game Engine expert, where you will have the opportunity to work on cutting-edge interactive experiences in a dynamic and collaborative environment. You will leverage your deep knowledge of Godot to drive the technical direction of game projects, ensuring robust architecture and seamless gameplay. This position is ideal for professionals passionate about creating high-quality games and excelling in both communication and technical domains. Key Responsibilities • Design, implement, and optimize gameplay systems and features using the Godot Game Engine., • Collaborate closely with designers, artists, and other developers to deliver polished and engaging player experiences., • Architect and maintain clean, scalable, and well-documented codebases., • Troubleshoot and resolve complex technical issues throughout the development lifecycle., • Contribute to the evaluation and selection of technical solutions and tools related to the Godot ecosystem., • Mentor and support team members in best practices, Godot workflows, and robust coding standards., • Participate actively in sprint planning, code reviews, and quality assurance processes. Required Skills and Qualifications • Deep expertise with the Godot Game Engine (GDScript, C#, or VisualScript)., • Proven track record of shipping commercial or high-quality independent titles using Godot., • Strong understanding of 2D/3D game development pipelines, asset integration, and performance optimization., • Ability to communicate complex technical concepts clearly in both written and verbal form., • Experience collaborating in a remote, distributed team environment., • Solid problem-solving abilities and passion for learning new technologies., • Demonstrated ability to produce clean, maintainable, and efficient code. Preferred Qualifications • Experience contributing to open-source Godot projects or plugins., • Background in gameplay, UI/UX, or multiplayer networking systems., • Exposure to agile development methodologies and tools.

$35 - $100/hourpayEViewsMacroeconomicsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

About Celestia Labs Celestia is the first modular blockchain network. By decoupling consensus from execution, Celestia enables anyone to easily deploy their own blockchain, without the overhead of bootstrapping a new consensus network. Blockchains on Celestia are free from constraints, making them scalable, sovereign, and secure. About the Team The Celestia Labs Team is remote first and highly distributed, with English as our primary language for communication. We are looking for self-starters that are excited about working in a fast-paced startup environment. We do not require team members to live in specific timezones, but much of the team lives and works in the European timezones. As such, team members are expected to be available as needed for team and company events that are scheduled. Generally these are scheduled between 1pm-6pm CET. About You Celestia Labs is looking for an elite Software Engineer to join the Celestia Node Team. You will be working on a highly technical team, operating across a cutting edge set of disciplines to support continued improvement of Celestia’s node software as we solve data availability for teams building whatever. This role will be of specific interest if working at the frontier of performance, scalability, storage, p2p networking and security in blockchain systems appeals to you with a heavy bias for shipping. \n Perks • Flexible and remote work environment with multiple onsites each year, • Competitive salary and meaningful long-term compensation package, • Stipends for home office, coworking space, professional and personal growth, • 4 weeks annual vacation, • 401k and healthcare coverage for US team members, • Being part of a collaborative, supportive team with opportunities for mentorship and professional growth Responsibilities • Ownership of parts of the Celestia Node codebase, • Contribute readable, well-tested, and well-documented code to Node and related repositories, • Participate in technical discussions on issues and code reviews on pull requests, • Be a part of the feedback loop between technical specification and implementation, • Work with users and support them with debugging on various channels and ensure their Who You Are • Self driven, directed, and motivated for excellence, • A strong communicator with excellent technical writing, with experience in building maintainable and well-documented codebases, • Possess solid knowledge of software engineering, technical principles, and technical architectures, with at least 5 years of real-world experience as a developer or engineer, • Highly Proficient in Golang, • Previous experience maintaining or contributing to open source software \n While experience in the blockchain space is preferred – having general excitement about web3 and modular blockchain technology is a must!

$60 - $120/hourpayBackend DevelopementAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Backend Engineer Job Type: Contract Location: Remote Job Summary: Join our customer's team as a Backend Engineer, where you'll architect and build robust, scalable backend systems powering innovative digital products. Collaborate with top-tier engineers in a dynamic, expert environment while driving forward the core technology infrastructure. This is a fantastic opportunity for backend specialists passionate about solving complex challenges and delivering high-impact solutions. Key Responsibilities: • Design, develop, and maintain scalable backend services and APIs that meet demanding performance requirements., • Collaborate cross-functionally to translate business needs into technical specifications and impactful backend solutions., • Optimize backend systems for reliability, security, and efficiency, ensuring seamless user experiences., • Write clean, well-documented, and thoroughly tested code, adhering to best engineering practices., • Participate actively in code reviews, mentoring, and knowledge sharing sessions with fellow engineers., • Monitor, troubleshoot, and resolve backend issues in production environments, targeting root causes and continuous improvements., • Contribute to architecture discussions and decisions, bringing innovative ideas and a solutions-oriented mindset. Required Skills and Qualifications: • 3+ Years Proven expertise in backend development using modern programming languages., • Extensive experience designing and implementing RESTful APIs and microservices architectures., • Strong proficiency with relational and NoSQL databases, along with data modeling principles., • Deep understanding of system security, authentication, and authorization best practices., • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)., • Excellent written and verbal communication skills, with a collaborative and proactive approach., • Ability to thrive in a fast-paced, fully remote expert team environment. Preferred Qualifications: • Familiarity with event-driven or server less architectures., • Experience with CI/CD pipelines and automated testing frameworks., • Background in mentoring or technical leadership within backend teams.

$20 - $70/hourpayKritaIllustrationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Krita Expert Job Type: Contract Location: Remote Job Summary Join our customer's team as a Krita Expert and help shape the future of creative AI systems. We’re seeking talented illustrators with a passion for digital artistry and deep expertise in Krita to execute structured, end-to-end illustration workflows within a virtual environment. Your creative process will directly contribute to training next-generation AI on authentic artist behaviors. Key Responsibilities • Develop full-fledged digital illustrations in Krita, from initial sketch to final polish, while adhering to best practices and structured layer management., • Perform hour-long, live illustration workflows in a virtual machine, capturing each step of your process for AI training purposes., • Demonstrate and articulate your creative decision-making, effectively communicating both written and verbally with the team., • Collaborate closely with project coordinators to ensure workflows meet high standards and align with AI research objectives., • Utilize advanced Krita features and tools, sharing insight into professional techniques and methodologies., • Provide clear documentation and feedback on your workflows to support continuous improvement of AI systems., • Uphold a high level of organization, structure, and quality across all artwork produced. Required Skills and Qualifications • Demonstrated expertise in Krita with a professional or extensive freelance portfolio showcasing complete illustration projects., • Mastery in digital illustration and structured layer-based workflows from rough sketch to refined artwork., • Strong written and verbal communication skills, with a focus on articulating creative processes and feedback., • Hands-on experience in using Krita’s advanced features, brushes, and layer management tools., • Ability to consistently work independently within virtual environments and meet project goals., • Meticulous attention to detail and a commitment to producing polished, high-quality art assets., • Proven ability to document and communicate workflow steps clearly for technical and non-technical audiences. Preferred Qualifications • Previous experience training or collaborating with AI or machine learning teams on creative projects., • Background in art education or content creation around digital illustration tools., • Familiarity with recording and explaining digital illustration workflows for educational or research purposes.

$13 - $13/hourpayVideo CapturingIMU (Inertial Measurement Unit)Attention to DetailAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, New Hampshire, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, and Wisconsin. Timeline: Applications close on May 8th at 5 pm PST Job Summary: Join our customers' team as a Data-Video Generalist and play a pivotal role in shaping the future of activity recognition. We are seeking U.S.-based experts to help collect synchronized IMU and video data via smartphones, contributing to next-generation machine learning models. If you are passionate about robotics, detail-oriented, and thrive on consistent, high-quality output, this opportunity is for you. Key Responsibilities: • Capture precise motion data using your smartphone’s sensor suite (IMU) during specified physical tasks., • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later., • Record synchronized video footage to validate and enhance the integrity of collected sensor data., • Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards., • Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration., • Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes., • Ensure timely and reliable delivery of data outputs in accordance with project milestones., • Participate in required device compatibility checks and a custom AI-enabled interview process. Required Skills and Qualifications: • Access to a head strap to be able to record both hands within 48 hours of the start date., • Demonstrated adherence to standardized protocols and rigorous technical instructions., • Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment., • Strong written and verbal communication skills; ability to document work and collaborate remotely., • Experience with mobile devices and a high level of digital literacy., • Physical capability to perform repetitive movement tasks safely and accurately., • Access to a compatible smartphone for high-fidelity sensor and video data collection., • Eligibility to work in designated U.S. states. Compensation is output-based; experts are paid per minute of recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Videos must be at least 2 minutes in length. Experts must submit a minimum of 10 hours of video per week. Hands-Free Capturing: This project uses a smartphone head strap for video. It’s a nice-to-have if you already own one. If you don't own one, once selected, we will offer you a sign-up bonus to cover the cost of this equipment to secure your readiness to work. We Move Fast: We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application.

$6 - $6/hourpayIMUAttention to DetailVideo CaptureAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Latin America and the Caribbean. Selected countries include: Mexico, Costa Rica, Panama, Dominican Republic, Brazil, Argentina, Colombia, Chile, Uruguay, Jamaica, Bahamas, and Barbados. Timeline: Applications close on May 8th at 5 pm PST. Job Summary: Join our customer's team as a Data-Video Generalist and make a direct impact on the future of activity recognition and robotics. In this expert-level, remote role, you will contribute vital synchronized motion and video data, helping to advance cutting-edge machine learning models for next-generation technologies. Key Responsibilities: • Capture precise motion data using your smartphone’s IMU sensors during specified physical activities., • Record synchronized video footage to ensure data accuracy and enhance the integrity of all collected motion data., • Follow detailed technical protocols to consistently meet strict quality, labeling, and determinism standards., • Deliver a minimum of 10 hours of high-quality, approved video data each week throughout the project’s duration., • Communicate clearly and proactively with the team to clarify requirements and share insights on data collection practices., • Maintain timely and reliable delivery of your outputs, aligned with project milestones and expectations., • Participate in device compatibility checks and an innovative, AI-enabled interview process as part of onboarding. Required Skills and Qualifications: • Access to a head strap to be able to record both hands within 48 hours of the start date., • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later., • Meticulous attention to detail and a proven record of following standardized protocols., • Demonstrated ability to consistently manage output and meet deadlines in a dynamic, data-driven environment., • Exceptional written and verbal communication skills essential for documentation and remote collaboration., • Advanced tech-savviness and experience with mobile devices for sensor and video data capture., • Physical ability to engage in repetitive movement tasks safely and effectively., • Access to a compatible smartphone capable of high-fidelity data collection. Preferred Qualifications: • Familiarity with structuring large-scale datasets for AI and robotics applications. Compensation is output-based; experts are paid per minute of submitted video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Videos must be at least 2 minutes in length. Experts must submit a minimum of 10 hours of video per week. Hands-Free Capturing: This project uses a smartphone head strap for video. It’s a nice-to-have if you already own one. If you don't own one, once selected, we will offer you a sign-up bonus to cover the cost of this equipment to secure your readiness to work. We Move Fast: We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application.

To apply, please send the following to • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • The base salary range for this role is $130,000 – $150,000. Compensation also includes eligibility for a discretionary annual bonus and a competitive benefits package, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm

___ is running an exclusive, retained search for this Mercor position. Please apply directly to this job post on LinkedIn only. Are you a tech trans/commercial lawyer sitting on the sidelines, wishing you were in the beating heart of the AI revolution? Here is a unique opportunity in San Francisco or New York for the chance of a lifetime. This is that transformative role you've been waiting for! The Company Our client, Mercor, is a hypergrowth AI startup that has revolutionized the intersection of labor markets and AI research. By partnering with leading AI labs and enterprises to provide the human intelligence essential to AI development, Mercor has created a novel category of work where expertise powers AI advancement. Mercor’s vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can’t be captured in code alone. Today, more than 30,000 experts in Mercor’s network collectively earn over $1.5 million a day. Founded in 2023 by Thiel Fellows ___, ___, and ___, Mercor is a Series C company valued at $10 billion and backed by top Silicon Valley investors, including Felicis, Benchmark, General Catalyst, Robinhood Ventures, Peter Thiel, Jack Dorsey and Adam D'Angelo. With an impressive roster of customers (including the top AI labs and Fortune 10 companies) and double-digit, month-over-month revenue growth, Mercor is on a meteoric growth trajectory at every level. The Role Mercor is seeking an ambitious and agile Commercial Counsel. As the third legal hire at the company (and the first Commercial Counsel), you will be a foundational legal partner tasked with overseeing all aspects of commercial legal, including negotiating high-impact agreements and scaling the commercial legal infrastructure as the company grows. In this role, you will: • structure, negotiate and close a wide range of commercial agreements, including: customer contracts, vendor agreements, master service agreements and NDAs;, • partner with and provide practical, business-oriented legal advice cross-functionally to ensure alignment on commercial terms and initiatives;, • develop scalable contract templates, playbooks, and processes to support the company’s growth;, • identify and manage legal risks in a manner that promotes creative and scalable growth; and, • support the General Counsel and fellow members of the legal team, and coordinate with outside counsel as needed. This position will be based full-time in person at the company’s headquarters in Mercor's San Francisco or New York office (opening Summer 2026). The ideal candidate will be a confident, talented and driven lawyer with strong business acumen, who thrives in a fast-paced, fluid tech startup environment. Mercor is a company that is driving hard and fast, which is reflected in their 5-days-per-week in-office work culture. Requirements: • Excellent academic credentials. Juris Doctor from an accredited law school and a member in good standing of the California, Illinois or New York Bar., • A minimum of five (5) years of legal experience, including top tier law firm training, in technology transactions., • Concise, straightforward communicator who is able to translate complex legal concepts for non-lawyer audiences and tailor advice to enable responsible growth., • Exceptional project management and time management skills., • High EQ and integrity; quickly builds strong, positive working relationships with coworkers, customers and other key business partners., • Intense curiosity in and passion for AI technology., • Operates with a sense of urgency., • Positive, enthusiastic and flexible team player with a “doer” attitude who is willing to roll up your sleeves and pitch in where needed. Compensation: The starting cash range for this role is $200,000 - $240,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate’s experience, qualifications, skills, and projected impact. The total compensation package for this role includes equity compensation, discretionary quarterly or annual performance bonuses, benefits such as medical, dental and vision insurance, paid time off, relocation expenses, and more. Next steps: ___ is running an exclusive, retained search for this position. Please apply directly to this posting.

About the Job: LaunchDarkly is looking for a Full Stack Engineer to help build and expand Vega, our AI-powered platform that surfaces insights and automates actions across LaunchDarkly products. This is a greenfield opportunity: you'll help evolve Vega from an Observability-focused assistant into a cross-product platform that serves Feature Management customers and powers a new, usage-based SKU. You'll build the surfaces, APIs, and agent infrastructure that make Vega and the whole Observability platform broadly valuable—enabling capabilities like AI-driven dashboard creation, flag cleanup automation, and sandboxed agent execution. You'll work across the full stack (React/TypeScript UI, Go services, data pipelines) and collaborate closely with product, design, and other engineering teams to shape how AI capabilities land across LaunchDarkly. Additionally, you’ll work on other Enterprise-grade capabilities for the Observability platform to help drive customer activation and success. What You'll Work On: • Expand Vega beyond Observability into Feature Management, including the flag cleanup agent as a cross-product capability, • Support enterprise capabilities for the Observability platforms: building data import and export pipelines to connect O11y to other platforms and enabling new customer workflows., • Build a platform that other teams can contribute to—defining contribution patterns, shared infrastructure, and safe, sandboxed AI agent execution, • Enable dashboard creation via natural language prompts, using existing Vega infrastructure as a foundation, • Consolidate Vega usage into fewer, higher-value surfaces, enabling faster iteration and justifying a usage-based monetization model, • Run experiments to expose Vega to mainstream FM customers across core workflows, measuring adoption and informing monetization, • Partner with product and design to ensure Vega capabilities are intuitive, well-integrated, and impactful for end users, • Contribute to architecture decisions, code reviews, and engineering standards across the Observability and Vega teams Responsibilities: • Design, build, and ship full-stack features across the Vega platform (UI, APIs, backend services, and agent infrastructure), • Own features end-to-end: from prototype and API design through production rollout and iteration, • Collaborate cross-functionally with product managers, designers, and engineers across Observability and Feature Management, • Participate in architecture discussions and technical design reviews, contributing to sound trade-off decisions, • Write well-tested, maintainable code and promote best practices for quality, observability, and reliability, • Mentor teammates and contribute to a collaborative, high-trust engineering culture, • Participate in on-call rotations and take ownership of production reliability for your features About You: • 3+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features, • Proficiency across the full stack—comfortable in TypeScript/React on the frontend and Go (or similar) on the backend, • Experience building or integrating LLM-powered features, agents, or AI-driven workflows, • Strong product instincts: you care about user experience and can translate ambiguous requirements into clean, well-scoped solutions, • Collaborative and communicative—you work well across teams and functions, and you're comfortable navigating ambiguity, • Familiarity with LaunchDarkly, feature flagging, or observability tooling is a plus, • Experience with usage-based product surfaces, experimentation platforms, or developer tooling is a plus Pay: Target pay ranges based on Geographic Zones* for Level 2: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850**, • Zone 3: All other US locations - $116,000 - $159,500 * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @___ email addresses. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit ___ directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to ___.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,000—$393,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Our systems make use of frontier AI models, as well as our own industry-leading machine learning models, to serve an experienced and highly-engaged stylist community; which in turn serves over two million active clients. Stitch Fix is redefining retail by blending the art of fashion with the science

Financial Data AnalysisEmbedded FinanceInvestment Strategy & AdvisoryPredictive Analytics & VisualizationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Financial Analyst Job Type: Full-time or Part-time, Contract Location: Remote Job Summary Are you a skilled Financial Analyst looking for your next opportunity? Join our dynamic talent pool and gain access to exciting roles with top-tier clients. Be the first to hear about new openings and work with innovative teams that value financial excellence in data-driven analysis. Key Responsibilities • Analyze complex financial data to identify key trends and provide actionable insights for strategic decision-making., • Lead the evaluation of embedded finance opportunities and contribute to advisory on investment strategies., • Develop predictive financial models and dynamic visualizations using up-to-date analytics platforms., • Conduct thorough market and industry research, synthesizing information from diverse sources to inform business recommendations., • Communicate findings and strategic recommendations clearly in both written reports and verbal presentations to stakeholders., • Stay ahead of the latest trends in the Asian economy, embedded finance, and digital financial solutions., • Collaborate with cross-functional teams to translate analytical results into business outcomes. Required Skills and Qualifications • Bachelor’s degree in Finance, Economics, or related field., • Professional certification (CFA, CIIA, CMA) or proven experience as a financial analyst in a leading finance institution., • Strong proficiency in financial data analysis, predictive analytics, and visualization tools (e.g., Power BI, Tableau, Python or R)., • Demonstrated experience in investment strategy and advisory, particularly within embedded finance contexts., • Exceptional written and verbal communication skills, with a keen eye for detail and clarity., • Advanced online research capabilities and ability to synthesize diverse financial information rapidly., • Experience working in or with Asia, with a solid understanding of regional financial markets and economic drivers. Preferred Qualifications • Previous experience at an MBB (McKinsey, BCG, Bain) firm or a major financial institution., • Familiarity with digital finance platforms and emerging fintech trends in the Asian market., • Based in Asia, or extensive prior exposure to the Asian economic landscape.

About the Job: LaunchDarkly is looking for an experienced Full Stack Engineer to play a key role in shaping the future of software delivery on the Guarded Releases team. In a world where agents are delivering code faster and more reliably, releasing safely is no longer optional infrastructure; it’s a competitive advantage. The Guarded Releases team is focused on making every release safer, faster, and more reliable. Our mission is to redefine how software is released: automating release processes, measuring the real-time impact of feature rollouts, and simplifying debugging when things go wrong. From automated release pipelines to metrics monitoring, error tracking, and fully automated rollbacks, our work ensures every code change is measured, and the entire release process from rollout to issue mitigation is managed for maximum efficiency and reliability. We are solving critical challenges in modern software delivery: reducing the time it takes to detect regressions, automating responses to minimize risk, and eliminating manual effort. We extensively use the products we build, allowing us to create our own ideal release process while shaping the developer experience for teams across the industry. If you’re interested in building the systems that help software teams ship safely at scale, we’d love to work with you. Responsibilities: * Collaborate seamlessly with cross-functional partners (product, design, data science, and engineering) to architect and advance our observability products. Leverage your broad experience to facilitate strategic discussions that align technical solutions with business goals, ensuring the delivery of scalable and effective features. * Drive comprehensive end-to-end feature development, taking full ownership from proof of concept through to delivery. Ensure that each feature provides robust observability into system behavior and customer usage patterns post-launch, applying a deep understanding of both technical and user experience considerations to optimize feature performance and reliability. * Proactively identify opportunities for product and user experience improvements, leveraging data insights and feedback to propose innovative, well-reasoned solutions. Lead the implementation of these enhancements, balancing user needs, business goals, and technical feasibility, ensuring each change drives meaningful improvements in engagement and performance. * Actively lead and contribute to code reviews, spec reviews, and architecture design, ensuring alignment with best practices, long-term scalability, and maintainability. Your experience will drive thorough and thoughtful evaluation of solutions, while providing constructive feedback that elevates the quality of the codebase. * Stay at the forefront of development trends, experimentation, and data-driven product evolution, bringing deep expertise to suggest and implement forward-thinking improvements in tools, processes, and methodologies. Your proactive involvement in continuous learning and improvement will help ensure the team remains competitive and cutting-edge in its approach to building user-focused products. Qualifications: * 3+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features * Proficiency across the full stack—comfortable in TypeScript/React on the frontend and Go (or similar) on the backend * Experience building data-focused products such as experimentation platforms, analytics dashboards, or large-scale data visualizations. * Proficient in designing, implementing, and maintaining RESTful APIs * Experience working directly with customers and understands how their work impacts business goals * Strong sense of ownership and accountability for delivering impactful solutions * Proven ability to work closely and collaborate with cross functional partners, like product, design, and data scientists. * Demonstrated ability to write clean, well-documented, and testable code with a focus on maintainability and extensibility. * Strong understanding of observability and monitoring tools and practices. * Excellent communication, collaboration, and interpersonal skills Pay: Target pay ranges based on Geographic Zones* for Level 2: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850**, • Zone 3: All other US locations - $116,000 - $159,500 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @___ email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit ___ directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to ___.

About the Job: Software powers the world, and LaunchDarkly empowers all teams to deliver and control the best software. As an Infrastructure Engineer on the IDE team, you'll help us build, automate, and improve the systems that keep LaunchDarkly running at scale. Our platform serves over twenty trillion feature flags daily across a global AWS footprint. The IDE team owns the infrastructure layer — networking, compute, CI/CD, databases, observability — and we're looking for someone who wants to make that layer increasingly self-service and automated. You'll write software that replaces manual processes, build tools that help other engineers move faster, and contribute to a culture where operational toil is treated as a bug to be fixed, not a fact of life. As part of our you-build-it-you-run-it culture, all engineers participate in an on-call rotation. Responsibilities: * Automate infrastructure provisioning, deployment, and operational workflows * Build and improve internal tools and platforms that make other engineers more productive * Manage and evolve our AWS infrastructure using Terraform * Participate in on-call rotations and turn incident patterns into permanent fixes * Collaborate with product engineering teams to understand their infrastructure needs and reduce friction * Identify repetitive operational work and replace it with software Qualifications: * 4+ years of professional software engineering experience * Familiarity with AWS (you've used it; you don't need to have memorized every service) * You write code to solve problems — not just configuration, but actual software when the situation calls for it * You're curious about how things work and willing to learn new tools quickly * A commitment to working in a communicative and collaborative environment * You hold yourself and others to a high bar when working with production systems * You value code quality, automated testing, and engineering best practices Nice to have (but not required): * Experience with Terraform or similar Infrastructure-as-Code tools * Experience with CI/CD systems (GitHub Actions, Jenkins, etc.) * Familiarity with containers and Kubernetes * Experience with observability tools like Datadog Pay: Target pay ranges based on Geographic Zones* for Level 4: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270**, • Zone 3: All other US locations - $163,000 - $224,070 * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance.

Our mission is for every child to have an exceptional experience in school. Edia is a Series A technology startup revolutionizing K-12 education with AI-driven solutions. We develop software to improve math education, tackle chronic absenteeism, and improve intervention processes for school districts. Today, Edia supports 200+ districts across the country (e.g. New York City, Denver, Fulton County, San Francisco, etc.). About the Role We're seeking a Senior Backend Engineer to join our team and help scale our Node.js applications on AWS. This role is different from a traditional engineering position: we've fully embraced AI-assisted development, and we expect most code to be written by AI tools. Your job is to direct that process effectively. You'll work across our entire product suite and internal tools, building robust systems that serve educators and students while also using AI to automate our business operations. What You'll Do * Architect and oversee backend systems across our product lineup and internal tooling * Guide AI coding assistants to implement large-scale changes and new features * Review, debug, and refine AI-generated code to production standards * Use AI internally to automate business operations * Ship full-stack features end-to-end What We're Looking For Essential skills: * Fast at reading code, human or AI generated * Strong debugging skills and an eye for bugs * Capacity to envision large architectural changes and break them into steps an AI can execute * Ability to context switch and juggle multiple in flight tasks * Experience with Node.js and cloud infrastructure (AWS, containers, managed databases) * Comfort working across multiple codebases and problem domains What sets you apart: * You think at systems scale * You're effective at communicating intent to AI tools and iterating on their output * You have good judgment about when to accept AI suggestions and when to push back * You're comfortable with ambiguity and can take ownership of loosely-defined problems Nice to have: * Frontend experience (React)—you'll be reading it regardless * Startup experience Why This Role Is Different We're not looking for someone who wants to write every line of code themselves. We're looking for someone who can leverage AI to move faster than traditional development allows, while maintaining the quality and reliability our school district partners depend on. If you're excited about working at the frontier of how software gets built, we'd love to hear from you. Work Authorization: We are currently unable to sponsor or transfer work authorization for all jobs. If things change in the future, we'll be sure to update this section. We appreciate your interest in Edia. Feel free to follow us on ___ to learn more about what we're doing to improve education outcomes in the US.

About the Job: As a Strategic Account Executive, you will own the relationship with the most strategic customers in your territory. You will play a significant role in the expansion of growth within these accounts. You should be business oriented, customer focused, and a self-starter who works well with little supervision. Responsibilities: * Ownership of Strategic Accounts: You will be the primary point of contact and relationship owner for several strategic accounts at LaunchDarkly (~8 total) * Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. * Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. * Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives. * Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers. * Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively. About You: * Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. * Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. * Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. * Excellent Communication: Your written and spoken communication skills are outstanding. * Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy. * Adaptability: You excel in a fast-paced and dynamic organizational setting. Qualifications: * 8-10+ years of Strategic Sales Experience (closing), preferably within the B2B technology sector. • Experience navigating complex deals over $1M. You have a demonstrable track record of consistently meeting or exceeding quota expectations of 1M+. * You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies. * You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large accounts (1M ARR+). * Recent experience working for an emerging technology software company is a significant plus. * Familiarity with and experience using the MEDDPIC sales methodology is advantageous. * Travel: expected range of 25% to 50% as needed Target pay ranges based on Geographic Zones* for Level P4: • Zone 1: San Francisco/Bay Area or New York City Metropolitan Area, Boston, Seattle: $262,000 - $361,000** On Target Earnings (OTE) includes base pay and commission, • Zone 2: DC, Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago: $236,000 - $325,000** On Target Earnings (OTE) includes base pay and commission, • Zone 3: All other US locations: $223,000 - $307,000** On Target Earnings (OTE) includes base pay and commission LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from ___.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit ___ directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to ___. Please notify us of any fraudulent representation by sending an email to ___.

$20 - $70/hourpayLibrespritePixel ArtGraphic DesignIllustrationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: LibreSprite Expert Job Type: Contract Location: Remote Job Summary Our customer’s team is seeking a skilled LibreSprite Expert to play a pivotal role in professional pixel art and animation projects. You’ll capture your creative process, providing valuable insights into your workflow while helping to teach AI how top-tier Libresprite users operate. This role is perfect for experienced artists who thrive in end-to-end project management and are passionate about sharing both their artistry and thought process. Key Responsibilities: • Drive complete pixel art and animation projects from concept through final asset export using LibreSprite., • Demonstrate real-time animation previews, refining motion and timing to studio-quality standards., • Utilize onion skinning, layers, and complex sprite composition features to create smooth, dynamic animations., • Design and develop cohesive asset sets, sprite sheets, character animations, tilesets, UI elements, and retro-style illustrations., • Leverage tiled drawing mode, palette customization, and pixel-precise tools for intricate patterns and detail work., • Export optimized sprites and animations in required production formats, adhering to technical and artistic specifications., • Clearly articulate workflow decisions, creative choices, and technical approaches—both in writing and verbally. Required Skills and Qualifications: • Expert-level proficiency with LibreSprite, with a proven track record of production usage., • Strong portfolio showcasing professional pixel art, animation, and graphic design., • Exceptional written and verbal communication skills, able to explain concepts and workflow logic clearly., • Experience independently managing end-to-end projects, from concept through asset delivery., • Deep understanding of sprite composition, animation techniques, and stylistic nuances in pixel art., • Proficient in customizing color palettes, tile creation, and managing complex layers and animation frames., • Ability to work autonomously within a remote, collaborative environment. Preferred Qualifications: • Prior experience capturing or teaching creative workflows for training, tutorials, or educational initiatives., • Familiarity with retro game art pipelines or production environments., • Experience contributing to open-source or collaborative art projects.

Growth engineering builds the applications that power nearly every growth channel at Ramp. As an engineer here, you’ll own applications at the frontier of sales technology - bridging the gap between raw information and tailored, actionable insights. Work in a dynamic engineering team with partners

About mpathic.ai We are a Series A startup backed by Tier 1 investors including Foundry.vc and Next Frontier Capital. Position Overview Your mission is to become the technical backbone of our go-to-market motion, partnering directly with Sales to win complex enterprise deals and translating customer needs into scalable, production-ready solutions. As our first Solutions Architect, you will operate as a true founding member of the GTM team. You will work side-by-side with our Head of Sales/AEs to drive technical discovery, shape solutions, and de-risk deals across AI safety, evaluation, safety monitoring and human-data workflows. This is a highly customer-facing, pre-sales role. You will engage deeply with ML platform teams, safety/alignment leaders, and data organizations, helping them understand how mpathic integrates into their systems via APIs, human services, and our platform. You will also define how Solutions Architecture works at mpathic: building the playbooks, demos, assets, and patterns that enable us to scale. This is a U.S.-based remote position. Candidates must reside in the United States. Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship. Key Responsibilities Pre-Sales Technical Leadership • Partner directly with the Head of Sales on technical discovery, deal strategy, and solution design across Enterprise and Commercial opportunities., • Lead technical conversations with ML/AI platform teams, safety/alignment teams, and data leaders., • Own technical validation processes including architecture design, POCs, pilots, and security/technical evaluations., • Translate ambiguous customer requirements into clear, executable solution architectures. Solution Design & Architecture • Design end-to-end solutions that integrate mpathic’s platform, APIs, and services into customer AI/ML workflows., • Advise customers on how to implement evaluation pipelines, human feedback loops, red teaming workflows, and annotation systems., • Architect integrations across APIs, data pipelines, and customer infrastructure., • Create reference architectures and reusable patterns for common customer use cases. Hands-On Deal Support • Build lightweight prototypes, scripts, or integrations to unblock deals when needed (e.g., API integrations, dashboard definitions, data flows)., • Customize demos and technical materials to reflect real customer environments and use cases., • Support technical objections, security reviews, and procurement processes with confidence. 0→1 Function Building • Define the Solutions Architect role at mpathic, including engagement model, tooling, and success metrics., • Develop repeatable playbooks for discovery, technical validation, and solution design., • Create scalable assets such as demo environments, architecture diagrams, and integration templates., • Partner with Sales, Product, and Engineering to ensure tight alignment across the customer lifecycle. Market Insight & Cross-Functional Impact • Act as the voice of the customer to Product and Engineering, shaping roadmap and prioritization., • Maintain deep knowledge of the AI ecosystem, particularly AI safety, evaluation, RLHF, and human-in-the-loop workflows., • Help refine positioning and messaging based on real customer interactions., • Represent mpathic.ai in technical discussions with customers and at industry events. Qualifications Candidates must reside in the United States and be currently authorized to work in the United States on a full-time basis. Required Experience • 7+ years of experience in Solutions Architecture, Sales Engineering, or similar customer-facing technical roles., • Experience as a first or early Solutions Architect at a startup, with a track record of building from zero-to-one., • Strong experience supporting enterprise SaaS sales, particularly API-first or platform products., • Proven success working with ML/AI platform teams, data organizations, or developer-focused buyers., • Experience driving complex, technical, multi-stakeholder sales cycles., • Familiarity with AI safety, evaluation, RLHF, red teaming, or human-in-the-loop data workflows. Technical Skills • Strong understanding of APIs, system integrations, and modern SaaS architectures., • Comfort working with data pipelines, analytics layers (e.g., tools like cube.dev), and ML/AI workflows., • Ability to build lightweight prototypes, integrations, or technical assets to support deals., • Familiarity with cloud environments and deploying or integrating technical solutions. Skills & Attributes • Customer-facing technical leader who enjoys being in the deal and influencing outcomes., • Strong translator between technical teams and business stakeholders., • Comfort operating in ambiguity and building structure from scratch., • High ownership mindset with a bias toward action., • Deep curiosity about AI safety, alignment, and high-quality human data systems. Success Metrics • Improved win rates and deal velocity through strong technical partnership with Sales., • Successful technical validation of enterprise opportunities (POCs, pilots, integrations)., • High-quality solution designs that lead to successful customer adoption and expansion., • Repeatable technical playbooks for pre-sales and solution architecture., • Strong trust and credibility with customer technical stakeholders. Why Join mpathic.ai? • Shape the future of AI safety and human-centered model alignment., • Work directly with leading AI builders, enterprise innovators, and safety teams., • Define and build the Solutions Architecture function from the ground up., • Join a mission-driven team focused on enabling safer, more emotionally intelligent AI systems. Compensation and Benefits • Competitive base salary with uncapped earnings potential, • Equity, • Company-funded health, dental, and vision insurance, • 401k with 4% company match, • Well-being programs, • Flexible paid time off, • Mission-driven work solving AI Safety challenges IMPORTANT – How to Apply We can only accept and review applications via our direct official recruiting portal: , due to the abundance of 3rd party apps and automated agents. Only applications submitted directly by the applicant through our portal will be considered.

Are you a commercially sharp, compliance-savvy legal professional ready to do meaningful work at the frontier of regenerative medicine, where legal expertise meets life changing science? Mesoblast is a global biopharmaceutical company developing cell-based medicines for some of the world's most serious conditions. Our U.S. team is growing and we are looking for a Senior Legal Counsel to join us reporting directly into our US Legal Head This is a senior individual contributor role for an experienced lawyer who thrives in a complex, fast-moving life sciences environment. You will be a trusted legal partner to our US and global business- leading commercial transactions, advising on regulatory compliance, and helping the company operate with integrity and confidence. You won't just be reviewing contracts. You'll be shaping how Mesoblast manages legal and compliance risk at the highest levels - partnering with R&D, Clinical Operations, Regulatory Affairs, Finance and Commercial teams to translate complex legal and regulatory requirements into practical, business-enabling guidance. Responsibilities include but not limited to: • Provide level guidance on complex commercial and regulatory compliance matters, • Advise on legal risk, ethics, and compliance considerations, translating regulatory and policy requirements into practical business guidance, • Support the development, implementation and ongoing enhancement of corporate policies, procedures and compliance frameworks, • Draft, prepare, review and issue commercial agreements, including:, • Manufacturing, Supply and Distribution agreements, • Licensing, collaboration and strategic partnership agreements, • Ensure commercial arrangements align with internal compliance requirements, risk tolerance and corporate policies., • Lead complex negotiations with CROs, CDMOs, HCPs, vendors, research partners and strategic counterparties., • Advise on U.S. regulatory obligations applicable to biotechnology/life sciences entities including, • FDA-related requirements, • Contribute and manage legal process improvements, templates, compliance controls and risk frameworks., • Partner closely with R&D, Clinical Operations, Regulatory Affairs, Compliance, Finance, HR and Commercial teams to ensure risk and compliance management., • Provide legal support for corporate compliance programs, including: Anti-bribery and anti-corruption compliance (e.g., FCPA, AKS) Data privacy, cybersecurity and information governance obligations, • Contribute to internal compliance reviews, investigations and remediation initiatives. What We're Looking For • JD from an accredited US law school, with active bar membership (New York preferred), • 8+ years of post-qualification experience in-house in life sciences, biotech or pharma - and/or at a law firm advising regulated industry clients, • Exposure to FDA-adjacent regulatory matters, clinical trials and healthcare compliance strongly preferred, • Demonstrated understanding and experience of U.S. regulatory and compliance frameworks affecting life sciences organizations., • Ability to independently manage high-risk, high-complexity legal and compliance matters., • Proven stakeholder engagement, communication and judgment., • Experience supporting clinical-stage publicly listed biotech companies strongly preferred. Why Mesoblast We are a company with genuine purpose- developing therapies that could change the lives of patients with few other options. You will work alongside scientists, clinicians and business leaders who care deeply about what they do. This is a role where your legal work has real-world impact. New York | 4 days in-office per week. Remote considered. Interested? Apply below or reach out to our Talent team directly. We'd love to hear from you. #Hiring #LegalJobs #SeniorLegalCounsel #InHouseLegal #Biotech #LifeSciences #NewYork #MesoblastCareers

At ___, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime. Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production. At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native. We’re a small, distributed team of repeat founders and builders, with backgrounds from ___, ___, ___, and ___. Joining Keycard now means helping define not just our technology, but also the culture and company we’re building together—during a once-in-a-generation platform shift. TBD * Build at the Frontier: Work every day at the frontier of agent-native systems — shipping, inventing, and iterating on technology that hasn’t been built before. You’ll be given huge autonomy, the opportunity to gain mastery, and the chance to work in a team that holds each other accountable to succeed. * Truly Agent-Native Culture: At Keycard, we don’t just enable others to adopt agents — we use them ourselves to build. You’ll help shape an organization that embeds AI into its foundation as an enduring competitive advantage. * Compensation With Upside: Market-competitive salaries and generous equity packages (4-year vest, 1-year cliff) give you the security to focus on building — and the asymmetric upside of ownership in a company chasing a category-defining mission. * Comprehensive Benefits & Recharge: Health, dental, vision, and paramedical coverage for you and your family, plus 4 weeks vacation, 11 statutory holidays, and 1 volunteer day annually. We encourage at least 2 weeks off each year to fully recharge. * Tools That Keep You Ahead: A new MacBook Pro, a $500 stipend for peripherals, and the best AI tools available so you can work at the forefront of agent-native workflows. * Remote-First Flexibility: We are a remote-first team prioritizing asynchronous collaboration, with hiring focused in North and South America. Work where you’re strongest — we just want the best. Keycard is building the fundamental unlock for the next generation of software: enabling truly secure and trusted agentic applications. Under the hood, we’re building a new identity and access control stack to take us from a world of static, user-focused, long-lived roles and credentialing to one of mixed machine & human interaction that is dynamic, contextually-scoped, and short-lived. By joining as an early employee, you’ll have the opportunity to help curate a culture of iterative craftsmanship, disciplined design, empowerment to own meaningful problems, and consistent high-quality delivery with real impact. You’ll collaborate with the founders and investors who have championed identity, security, and developer tools from seed to scale with companies like Snyk, Auth0, and Heroku. If you’re energized by tackling complex distributed systems and want to advance both developer productivity and security posture, with a hunger to learn, have an impact, and move quickly with determination we’d love to explore how you can help us shape the future of software.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our AgentOps team: The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs. With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time. We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain. Responsibilities: • Manage the engineering team and drive technical delivery, • Comfortable working cross functionally, whether that be internal or external customers, • Work across the entire product lifecycle from conceptualization through production, • Build features end-to-end: back-end, system design, debugging and testing, • Deliver experiments at a high velocity and level of quality to engage our customers, • Influence the culture, values, and processes of a growing engineering team, • Inspire and mentor engineers, • Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: • At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred, • Proven success in leading, managing, and developing high-performing Engineering teams, • Expertise in identifying product engagement patterns and trends for large scale consumer products, • Track record of shipping high-quality products and features at scale, • Desire to work in a very fast-paced environment, • Ability to turn business and product ideas into engineering solutions, • Excellent problem-solving skills, and be able to work independently or as part of a team. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale's proprietary research, data, and infrastructure-unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems. What You'll Do • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them. Core Qualifications • 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders., • Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, • Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. We're seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers. You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it. • Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments., • Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems., • Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation., • Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization., • Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation., • Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership., • Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities., • 15+ years of experience as a technical software engineering leader., • Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments., • Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred., • Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact., • Experience influencing and mentoring engineering teams in complex, matrixed environments., • Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality. The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers. You'll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what's possible with AI. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$285,200—$356,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers, • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal, • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions, • Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes, • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency, • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence, • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements, • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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___ 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 ___. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. 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 Information regarding the culture at Pinterest and benefits available for this position can be found___. US based applicants only The salary for this position is $12,100 monthly. #LI-HYBRID #LI-EB1 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___for support.

Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will operate at the center of Scale's most strategic customer relationships, serving as both a trusted operator and thought partner to the world's leading AI research teams. You are the frontline of Scale's contact with our Gen AI customers, working with and being an advocate for customer data leaders and engineering/operations teams. You have a strong interest in how high-quality data can positively influence Gen AI models. You work towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver. The ideal candidate builds deep relationships with researchers and customer leads, navigates difficult conversations with confidence, and has a track record of earning new work through the quality of their execution and relationships. They are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions. • Own a portfolio of complex, strategic projects with full accountability for delivery, quality, customer sentiment, and commercial outcomes, • Build and maintain deep, trust-based relationships with customer researchers and leads, serving as a thought partner throughout the project lifecycle, • Navigate difficult customer conversations around pricing, quality, and delivery expectations with confidence and clarity, • Identify and develop expansion opportunities through close customer engagement and a strong track record of execution, • 5+ years of work experience, with experience in consulting or as a technical product or program management role, • A proven track record in B2B client-facing roles, including building and expanding relationships and navigating complex customer dynamics, • Ability to understand the ML training lifecycle and discuss use cases meaningfully with technical customers, • A technical background (education or professional experience with CS, Engineering, Economics, Statistics, or another STEM field), • Graduate degree (PhD, MS) or research experience in a STEM field, • Experience at a frontier lab or company developing foundational models, or in a technical role at a high-growth AI company About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$264,800—$331,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • 7+ years of full-time engineering experience, post-graduation, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: • Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies., • Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions., • End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure., • Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation., • Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design., • At least 2 years of relevant experience is preferred, • Proven track record of shipping high-quality products and features at scale., • Strong problem-solving skills and the ability to work independently or as part of a collaborative team., • Desire to thrive in a fast-paced, dynamic environment., • Ability to turn business and product ideas into engineering solutions., • Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Ability to adapt quickly to the ever-changing world of generative AI., • Experience with large-scale data processing and distributed systems., • Familiarity with machine learning and AI concepts., • Experience working directly with enterprise customers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructureto join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components, • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.