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At Vanta, our mission is to secure the internet and protect consumer data. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta is growing quickly and we're continually moving upmarket, dealing with sophisticated customers with complex security and compliance environments and needs. Our Security team uses our own Security and Privacy GRC experience to meet customer demand to help grow our market share as the industry leader in compliance and security.As a Compliance Automation Engineer, GRC at Vanta, you will support FedRAMP Authorization efforts on the Vanta Security Team, working closely with cross-functional Engineering and Product teams. Your focus will be managing critical authorization audit readiness and continuous monitoring process, automating evidence collection wherever possible.If this sounds like you, and you're excited to use your Security and GRC experience to help grow and sell our product, we'd love to hear from you.Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Compliance Automation Engineer, GRC at Vanta:Design and develop automation solutions for evidence collection across infrastructure, endpoints, and SaaS platforms (e.g., AWS, GCP, GitHub, Okta).Build and maintain scripts and APIs to interface with compliance toolingSupport recurring internal and external audits (FedRAMP, SOC 2, ISO 27001, HIPAA, etc.) by ensuring automated and reliable control monitoringAutomate control testing and reporting pipelines to reduce manual effort and improve accuracySupport internal GRC platforms, dashboards, and metrics to communicate compliance posture and audit findingsWork with the compliance team to define technical control requirements and translate them into measurable, testable systemsWork with Engineering partners to embed compliance checks into CI/CD pipelines and infrastructure deployment workflowsEstablish and manage the POAM and Continuous Monitoring processes and run monthly PMO meetingsManage compliance deliverables for public sector stakeholders and manage ongoing updatesLeverage AI/ML tools to drive automation and improve efficiency and outcomes for audit and monitoring processesDrive remediation for Security Team gaps and dependencies - this includes investigating and POCing solutions to replace existing tech where neededDrive remediation of FedRMAP authorization gapsSupport policy and process implementation for business and engineering processes to support authorizationSupport the implementation of technical controls within the security and engineering teamsContribute to the development of machine readable reports for Product TeamGather performance metrics and report KPIs to security team leadersBecome an expert on the Vanta public sector product offerings and provide regular feedback to product teamsSupport the team responding to public sector security questionnairesPartner to help improve existing and launch new security and compliance processes, programs, and policies where neededSupport audit readiness across Vanta’s compliance frameworks as neededHow to be successful in this role:3+ years of experience in scripting, automation, or backend engineering roles with a focus on security, infrastructure, or complianceExpertise with public sector security frameworks like FedRAMP and CMMCExperience with other NIST frameworks like NIST CSF, 800-53, 800-171, RMFAbility to write scripts and basic code to automate audit and evidence gathering processesProficiency in at least one or more common scripting languages like Python, Go, PowerShell, Bash, Ruby, or JavaScript,Experience consuming and building RESTful APIs to integrate various security, IT, and GRC toolsExperience querying APIs, building command-line tools, and working with structured data (JSON, CSV, YAML, OSCAL)Ability to query and manipulate data in various datastores to extract compliance-relevant informationFamiliarity with Cloud Infrastructure, Version Control Systems, Risk Management, Vulnerabilities, and their related security processesExperience in product and program managementExperience in building productive relationships and driving collaboration with both technical and non-technical teamsKnowledge of audit processes and evidence requirements for cybersecurity frameworksSecurity compliance management experience within a SaaS environment preferred, but not requiredExperience working with other security frameworks like SOC2 and ISO27001 preferred but not requiredSecurity certifications (e.g. CISA, CISSP, CRISC) and/or formal education strongly preferred, but not requiredWhat you can expect as a Vantan:Industry-competitive compensation100% covered medical, dental, and vision benefits with dependents coverage16 weeks fully-paid parental Leave for all new parentsHealth & wellness and remote workplace stipendsFamily planning benefits through Carrot Fertility401(k) matchingFlexible work hours and locationOpen PTO policy11 paid holidays in the USOffices in SF, NYC, London, Dublin, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security.From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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About Freight Hero:The freight brokerage industry has exploded in recent years, growing from a mere 6% to over 20% of US truck freight in just a decade, now valued at $21 billion. Freight brokers typically allocate up to 90% of their time to operational back-office tasks, leaving only 10% for revenue-generating activities (depending on the business model). By combining AI with human oversight, we can streamline these back-office processes, driving significant operational efficiencies. The industry's profit margins have recently contracted from 20% to 5%, underscoring the critical need for cost reduction. We believe that the perfect storm of industry challenges and AI maturity presents a venture scale opportunity to revolutionize the freight brokerage sector and the broader freight/supply chain industry. Freight Hero is funded and supported by AI Fund based in Palo Alto, California. AI Fund is a team of diligent innovators who build great companies that move humanity forward by accelerating the adoption of AI. Founded by Dr. Andrew Ng, AI Fund is a startup studio focused on resolving problems to move the world forward. We build new AI companies to bridge AI technology and critical applications. Just as electricity transformed numerous industries, AI and AI Fund are poised to do the same.  What We Seek:We are looking for a AI Voice Engineer to lead the development and evolution of Freight Hero’s voice automation capabilities. You will work directly with the CEO to design a strategic roadmap for integrating voice AI into our platform—empowering human agents, automating communication-heavy workflows, and enhancing operational efficiency across the freight brokerage lifecycle. As the owner of our voice AI stack, you will make critical architectural decisions, experiment with cutting-edge tools, and iteratively improve our agentic voice systems for real-world logistics execution. What You Will Be Doing:Own the Voice AI Stack – Lead architecture, development, and continual refinement of Freight Hero’s voice AI capabilities, including speech recognition, synthesis, and real-time dialogue management tailored to freight operations.Define the Strategic Vision – Establish the long-term roadmap for how voice AI can augment or automate broker workflows, from phone-based load confirmations to automated check calls and appointment scheduling.Build Agentic Voice Workflows – Design multi-turn, task-oriented voice agents using LLMs, fine-tuned models, and open-source ASR/TTS systems to handle high-volume interactions with shippers, carriers, and internal teams.Prototype, Validate, and Iterate – Rapidly develop MVPs, conduct real-world pilots, gather feedback, and fine-tune models and flows for naturalness, reliability, and compliance with industry norms.Optimize for Human-in-the-Loop Performance– Design voice workflows that integrate seamlessly with Freight Hero’s augmented ops team, empowering human agents while offloading repetitive voice tasks.Integrate with the Freight Ecosystem – Ensure your voice systems communicate effectively with TMS platforms, VOIP systems, CRMs, and broker ops tools, creating a seamless data and workflow layer.Build for Scale and Resilience – Architect scalable, cloud-native infrastructure that can handle concurrent voice sessions, asynchronous callbacks, and error recovery in real time.Collaborate Cross-Functionally – Work alongside ops, product, and engineering to align voice AI capabilities with business goals, SLA requirements, and user experience priorities.Stay Ahead of the Curve – Constantly evaluate advancements in speech AI, LLM tooling, and telephony infrastructure to keep Freight Hero on the cutting edge. What You Must Bring:English Proficiency- Strong written and verbal English communication skills required.LLM & Agentic Workflow Experience – Deep understanding of agentic workflow orchestration, prompt engineering, memory handling, and multi-turn conversation design using open-source or commercial stacks.Product Ownership Mindset – Ability to define what to build and why, balancing technical feasibility with operational impact and end-user delight.Startup Grit – Experience building from scratch in early-stage or high-velocity environments; you’re comfortable wearing multiple hats and moving fast.System Design & Infrastructure – Proficient in designing scalable voice systems that integrate securely with cloud platforms, telephony APIs (e.g. Twilio, Aircall), and internal ops tools.Human-Centric Automation – Passion for blending AI with human judgment—designing systems that enhance rather than replace frontline workers.Cross-Functional Collaboration – Strong communication skills and a bias toward action when aligning with business stakeholders and operations teams. Nice To Haves Include:AI Voice Expertise- Hands-on experience with ASR (e.g. Whisper, Deepgram), TTS (e.g. ElevenLabs, Azure), and building production-grade voicebots or virtual agents.Freight/Logistics Domain Familiarity (Nice to Have)  – Prior experience or demonstrated interest in freight, logistics, or back-office automation.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAt Harvey, our platform team lays the foundation for everything we build. As a Platform Engineer, you’ll design and scale the core systems that power our legal AI product — from authentication and permissions to observability and integrations. You’ll work closely with product, infra, and security teams to drive velocity, reliability, and compliance across the stack. This is a high-leverage role for engineers who love building systems that scale and thrive on cross-functional collaboration.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You’ll DoCollaborate cross-functionally to implement core abstractions and services that increase product velocity: notifications, data fetching patterns, data access abstractions, etc.Improve reliability, scalability, and compliance for platform services like permissions management, admin reporting, and customizations.Develop and enhance platform features including authentication, compliance, and enterprise integrations across the legal tech ecosystemPartner closely with product teams to seamlessly integrate new features into core platformEstablish best practices in security, compliance, and maintainability throughout development cyclesProvide technical mentorship and leadership, promoting best practices and fostering team growthWhat You Have Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical discipline (or equivalent experience)10+ years of software development experience, particularly in backend systems or platform services, with proven ability to mentor and guide technical teamsProficiency in backend-focused languages such as Python, Go, Ruby, or similarExperience with large-scale high-traffic applications, distributed systems, and scalable data storage solutionsExperience with enterprise software features like permissions (RBAC), analytics, audit logs, notifications, self-serve onboarding, and provisioningExperience with authentication frameworks (SSO, SCIM, OAuth), compliance, and security best practicesExperience with API development and enterprise integrations (SaaS, on-prem)Compensation Range$250,000 - $290,000 USDPlease find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAt Harvey, our platform team lays the foundation for everything we build. As a Platform Engineer, you’ll design and scale the core systems that power our legal AI product — from authentication and permissions to observability and integrations. You’ll work closely with product, infra, and security teams to drive velocity, reliability, and compliance across the stack. This is a high-leverage role for engineers who love building systems that scale and thrive on cross-functional collaboration.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You’ll DoCollaborate cross-functionally to implement core abstractions and services that increase product velocity: notifications, data fetching patterns, data access abstractions, etc.Improve reliability, scalability, and compliance for platform services like permissions management, admin reporting, and customizationsDevelop and enhance platform features including authentication, compliance, and enterprise integrations across the legal tech ecosystemPartner closely with product teams to seamlessly integrate new features into core platformUphold high standards for security, compliance, and maintainability throughout development cyclesLead technical design discussions, conduct code reviews, and mentor junior engineersWhat You Have Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent experience)3+ years of software development experience, particularly in backend systems or platform servicesProficiency in backend-focused languages such as Python, Go, Ruby, or similarExperience with large-scale high-traffic applications, distributed systems, and scalable data storage solutionsExperience with enterprise software features like permissions (RBAC), analytics, audit logs, notifications, self-serve onboarding, and provisioningExperience with authentication frameworks (SSO, SCIM, OAuth), compliance, and security best practicesExperience with API development and enterprise integrations (SaaS, on-prem)Compensation Range$175,000 - $250,000 USDPlease find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.Role Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. This is a data science role based in our Palo Alto headquarters. At Glean, data scientists collaborate with engineering, product management and design to Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers. Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps. Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user growth and engagement. You’d be embedded within a specific set of products in Glean’s large offering of search and generative AI products. These products aim to make Glean mission critical for the knowledge worker (i.e. the user) and the firm she works at (i.e. the customer).  You’d explore how Glean’s search and generative AI products should intersect. You’d explore different product modalities like web, mobile and desktop apps, as well as experiences where Glean’s embedded into other products like an internal portal or another B2B SaaS product like Slack. You’d explore how unstructured data in documents, structured data and data outside of an organization should come together. You’d look into the knowledge worker as a potential creator of generative AI experiences for others around her, rather than a mere consumer of these experiences. You’d explore knowledge workers in specific job function verticals like engineering and support. You’d think about empowering Glean’s customers to reign in the proliferated set of AI agents around them for maximum value, whether or not they are created by Glean.  At the intersection of all these domains is using product analytics to enhance a user and customer’s experience. Combined with enterprise-grade & highly performant AI, which’d be delivered by sister teams, such magical experience is the prerequisite for making Glean grow into over 1B knowledge workers out there. Minimum qualifications: You have a Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field. You have 5+ years of industry experience as a data scientist. For PhD degree holders, the minimum years of required experience as a data scientist is 2 years. You have strong business sense, and are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights. You are familiar with BI visualization tools such as Sigma, Metabase, Tableau or Looker. You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).  You are proficient in Python.  You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making. You are strong at statistics. You have experience in applying these skills into tangible improvements in products, internal tools and processes using A/B testing and non-experimental methods. You are concise and precise in written and verbal communication. Technical documentation is your strong suit.  You are a particularly good fit if: You have experience in B2B SaaS, especially in the enterprise AI space. You have a very strong sense of ownership and self-motivation. You are laser focused on delivering business impact while growing as an individual along with Glean. You are good at managing evolving priorities while bringing core initiatives to a success.  You have experience working with collaborators across large time zone differences. Benefits Competitive compensation Medical, Vision and Dental coverage Flexible work environment and time-off policy 401k Company events A home office improvement stipend when you first join Annual education stipend Wellness stipend Healthy lunches and dinners provided daily For California based applicants:  The standard base salary range for this position is $175,000 - 210,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix, and verify exploitable attack vectors before criminals can exploit them. Our flagship product, the NodeZero™ platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs.We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, “checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn-it-alls, committed to a culture of respect, collaboration, ownership, and results.What We’re Looking ForWe’re looking for a Research Staff Member (Applied AI) to join our growing team of world-class engineers and security researchers in the San Francisco Bay Area. This is a senior/principal-level role for someone passionate about building real-world AI systems that can reason, act, and scale in adversarial environments.As a Research Staff Member (RSM) at Horizon3 focused on applied AI, you’ll turn cutting-edge research into real-world impact. Your mission: develop, prototype, and productionize AI systems that enhance our autonomous pentesting platform—powering reasoning, decision-making, and security insights at scale. You’ll work on everything from agentic workflows and LLM reasoning to reinforcement learning and graph algorithms, bridging the gap between theory and battlefield-tested cyber capabilities. This is where deep research meets operational relevance.Essential FunctionsDesign, prototype, and deploy AI-driven features that power autonomous offensive security operationsLead the development of agentic AI systems capable of planning and executing multi-step cyber operationsExplore and implement reinforcement learning, graph algorithms, and LLM-based reasoning in high-stakes, adversarial contextsTranslate academic research and new AI advances into production-ready capabilities within our platformCollaborate with engineering and security teams to integrate AI models into scalable, high-performance systemsConduct novel research with a focus on operational viability and performanceContribute to a culture of technical excellence through code reviews, technical mentorship, and knowledge sharingPresent and publish research findings internally and externally, where appropriate QualificationsPhD or MS (with equivalent experience) in AI, Computer Science, or a related field Strong publication or patent record in areas such as large language models, reinforcement learning, agentic AI, or graph-based learningProven experience applying modern AI research to real-world systemsFluency with modern AI tooling (e.g., PyTorch, Hugging Face, LangChain, OpenAI APIs)Strong programming skills in Python and familiarity with production-level ML/AI systemsDeep understanding of LLM-based architectures, fine-tuning techniques, and prompt engineeringExperience working with structured knowledge (e.g., graphs, knowledge bases, ontologies)Familiarity with adversarial ML, secure AI development, or cybersecurity applications of AI is a plus Desired/Nice to HaveWhile not required, any of the following would elevate your application:Experience in autonomous agents, multi-agent systems, or reinforcement learning in adversarial settingsPrevious work integrating AI into offensive or defensive security toolingFamiliarity with attack graph generation, pathfinding, or decision planning under uncertaintyContributions to open-source AI or cybersecurity projectsParticipation in red teaming or AI-based simulation environmentsUnderstanding of ML observability, model robustness, and bias mitigation ExpectationsOperate with a “hacker mindset” and scientific curiosityThrive in ambiguous problem spaces and take initiative to explore and drive resultsCommunicate clearly with both technical and non-technical audiencesCollaborate effectively in cross-functional teamsPrioritize impact and execution without sacrificing rigorPerks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work.Competitive Compensation: We offer competitive salary and benefits, including health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave. You Belong HereHorizon3 is not just an equal opportunity employer—we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.. 

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About the RoleWe’re looking for a gritty, detail-oriented operator who can lead a team of Strategic Project Leads (SPLs) and deliver on complex, high-velocity data projects. You’ll be responsible for ensuring operational excellence, aligning with researchers and procurement teams, and driving systems-level improvements to scale quality and throughput. This is a high-impact leadership role at the heart of our AI operations.This position is located in either our San Francisco or New York locations. What You’ll DoLead and manage a team of SPLs across multiple high-stakes AI data projectsDrive delivery across custom data pipelines and expert labeling workflowsCollaborate with researchers and procurement partners to define and execute on their data strategiesEnsure a top-tier experience for Handshake Fellows and enable them to generate high-quality, scalable dataPartner with Product and Engineering to evolve our internal tooling and operational systemsOwn performance metrics and delivery outcomes across a dynamic set of project scopes and timelinesWhat We’re Looking For5+ years of professional experience in operationally intensive settings, ideally within marketplace or data operations1+ year of experience in AI data operations, such as at Scale AI, Surge, Snorkel, Invisible, or TuringDemonstrated success leading high-performing teams in fast-paced, execution-focused environmentsMetrics-driven leader with a strong ability to raise performance through data and accountabilitySystems thinker who excels in ambiguity and brings structure and clarity to complex problemsHands-on operator who’s willing to dive deep and do what it takes to deliver outcomesSTEM background or technical fluency is a strong plusAbout Handshake AIHandshake AI is building the future of human data for AI. As leading labs race to train the next generation of language models, the bottleneck is no longer compute—it’s high-quality, expert-generated data. That’s where we come in.Leveraging our reach across 1,500+ colleges and universities—including 92% of the top 500 U.S. institutions—we’re uniquely positioned to mobilize expert contributors at scale. Our platform powers custom annotation pipelines, RLHF programs, and fine-tuning projects for some of the world’s top model companies.We’re backed by Handshake’s trusted network of 15M+ students and alumni, and we’re building cutting-edge human data infrastructure—from expert annotation platforms to AI interviewers and seamless payout tooling. If you're excited to help shape how the next generation of AI gets trained, we’d love to meet you.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening the existing infrastructure systems. Your contributions will ensure the reliability, scalability, and security of our cutting-edge legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. What You’ll DoDesign, develop, and deploy new infrastructure services and automation tools to support platform growth and new product initiatives.Manage and optimize existing infrastructure components (compute, storage, networking) across 50+ global regions.Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements.Implement short-term and long-term infrastructure scaling strategies to improve reliability, scalability, and performance.Collaborate across teams to drive reliability, security, and compliance throughout the software lifecycle.Provide technical mentorship and leadership, promoting best practices and fostering team growth. What You Have10+ years of experience in Infrastructure Engineering, Site Reliability Engineering, or similar roles in a production environment.Long track record building and scaling complex, large-scale distributed systems.Strong fluency in Infrastructure as Code (IaC) tools (Pulumi, Terraform, CloudFormation, etc.).Deep proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.).Strong programming skills (Python, Bash, Go, or similar languages).Experience with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.).Solid understanding of Kubernetes, networking, databases, OS, cloud storage, cloud security, CI/CD, etc.Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence. Compensation Range$250,000 - $290,000 USDPlease find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!

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Summary of the RoleWe’re looking for a data-driven Operations Analyst who can keep Magical’s growth machine running smoothly across marketing, sales, and bizops. You’ll own campaign hygiene, event logistics, attribution, dashboards, and quarterly close support—freeing the GTM team to focus on pipeline and revenue. If you love untangling data flows and turning messy spreadsheets into crisp insights, you’ll thrive here.What You’ll DoPaid Media Operations: Coordinate campaign tracking (Google Ads, LinkedIn, Meta, etc.), QA pixels/UTMs, and ensure accurate lead routing and attribution in Salesforce.Trade Show & Event Logistics: Manage end-to-end logistics—booth shipping, collateral, swag, insurance forms, registrations, flights, and hotels.Lifecycle & Email Ops: Build trigger-based workflows, create segmented lists, enforce CAN-SPAM/GDPR compliance, and run weekly deliverability checks.Reporting & Insights: Own dashboards for Leads, MQLs, Calls Booked/Held, and channel conversion rates; deliver weekly and monthly performance summaries with recommendations.Tech & Process Ownership: Act as primary admin for Salesforce and connected GTM tools; document SOPs, train teammates, and drive process automation to reduce manual work.SEO Ops: Run quarterly content hygiene audits, run pre-built content workflows, and publish monthly SEO KPI reports with AI-generated commentary.Lead & Account List Enablement: Clean, de-duplicate, and enrich inbound lead lists, and collaborate with AEs to tier ICP-aligned target accounts.Who You AreAll in on AI—excited to apply your AI chops to your own ops stack and champion Magical’s mission.Detail-obsessed & analytical—you spot anomalies before they become problems.Process builder—SOPs and documentation are your love language.Tool power-user—comfortable administering Salesforce plus a marketing-automation platformProject-management pro—you juggle trade-show deadlines, reporting cadences, and finance asks without dropping balls.Startup-ready—you move fast, iterate often, and communicate crisply across GTM, Product, and Finance.Qualifications2–4 years in Marketing Ops or General Ops at a high-growth company.Proven experience with paid-media tagging/attribution, email deliverability, and event logistics.Hands-on admin experience in Salesforce (or similar CRM) and a marketing-automation platform.Track record of building dashboards in SFDC and BI tools.Who We AreAt Magical, we empower organizations to automate the complex, manual workflows that keep critical industries running. Our AI-native platform turns long-form, multi-system processes into fully autonomous operations—helping teams scale faster, cut costs, and focus on higher-value work. Backed by Coatue, Greylock, Bain Capital Ventures, and other top investors, we’re redefining what an AI workforce can achieve. Come be the operational linchpin that keeps Magical’s growth engine humming.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable. Responsibilities: Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes) Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems) Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may have experience with: Working with large language models and modern transformer architectures Implementing A/B testing frameworks and experimentation infrastructure for ML systems Developing monitoring and alerting systems for ML model performance and data drift Building automated labeling systems and human-in-the-loop workflows Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements Contributing to open-source ML infrastructure projects Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$300,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is seeking an ML Infrastructure Engineering Manager to lead a critical team within our Safeguards organization. You'll manage and grow a team of infrastructure engineers who build and scale the foundational systems that power our AI safety and trust mechanisms. This role combines deep technical leadership in ML infrastructure with people management, driving both the strategic vision and day-to-day execution of systems that ensure our AI models operate safely and reliably at scale. Your team will be responsible for the infrastructure backbone that enables real-time safety evaluations and systems to make Claude safe You'll work closely with research teams to translate cutting-edge safety research into production-ready systems, while partnering with Safeguards, Security, and Alignment teams to ensure our infrastructure meets the demanding requirements of safety-critical applications. Responsibilities: Set team vision and roadmap for ML infrastructure that powers Anthropic's safety and trust systems, ensuring scalability, reliability, and performance at production scale Lead a team of ML infrastructure and software engineers to build robust platforms supporting real-time safety evaluations, feature stores, model serving, and data pipelines Partner with Safeguards, Security, Research, and Product teams to identify infrastructure requirements and translate complex safety research into scalable production systems Drive technical strategy for ML infrastructure architecture, making key decisions about technology choices, system design, and platform evolution Maintain deep technical expertise in ML infrastructure, distributed systems, and safety-critical applications to provide technical leadership and guidance Hire, support, and develop team members through continuous feedback, career coaching, and people management practices Collaborate across teams to ensure infrastructure supports rapid experimentation while maintaining production reliability and safety standards Champion engineering best practices including automated testing, deployment pipelines, monitoring, and incident response for safety-critical systems You may be a good fit if you: Have 4+ years of management experience leading technical teams focused on ML infrastructure, platform engineering, or distributed systems Have 8+ years of hands-on experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Demonstrated ability to lead and manage high-performing technical teams through periods of rapid growth and scaling challenges Possess deep technical knowledge of ML serving platforms, feature stores, data pipelines, and distributed systems architecture Show excellent communication skills in translating complex technical concepts for various audiences, from individual contributors to executive leadership Have strong project management skills with the ability to balance multiple priorities and coordinate across cross-functional teams Experience managing teams that bridge research and production, with a track record of productionizing experimental systems Strong candidates may also: Possess knowledge of modern ML frameworks, cloud platforms, and container orchestration in production environments Excel at building strong relationships with research teams and translating their needs into infrastructure requirements Have experience implementing automated testing, deployment, and monitoring systems for ML models in production Demonstrate passion for ensuring the responsible development and deployment of AI systems Have managed teams working on real-time, high-throughput systems with strict latency and reliability requirements Experience with compliance and security requirements for safety-critical applications At Anthropic, we value diversity and are committed to creating an inclusive environment for all employees. We encourage applications from candidates of all backgrounds. Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$340,000—$425,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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We are seeking a Machine Learning Engineer Specialist- AI Trainer to join one of our clients. You'll play a critical role in advancing AI models by reviewing and refining outputs generated by cutting-edge large language models (LLMs). By applying your expertise in machine learning, data science, and technical domains, you'll ensure that model outputs maintain high standards of technical accuracy, relevance, and consistency. This role combines analytical thinking with hands-on data quality work, offering research-grade insights into model evaluation and improvement. Responsibilities:- Use internal tools to evaluate and critique AI-generated outputs, focusing primarily on technical and scientific domains.- Review complex model responses and suggest improvements with an emphasis on clarity, correctness, and domain relevance.- Contribute to the curation and refinement of datasets used to train and fine-tune AI/ML models.- Collaborate closely with cross-functional AI teams to identify data patterns, edge cases, and model blind spots.- Stay updated on model behaviors and guidelines as they evolve, applying sound judgment to nuanced annotation tasks. Qualifications:- MS or PhD in Computer Science, Machine Learning, Data Science, or a related technical field.- Alternatively, 3+ years of professional experience as a Machine Learning Engineer or Data Scientist at a top-tier company (e.g., FAANG, leading startups, AI labs).- Strong grasp of core machine learning concepts, model training workflows, and evaluation strategies.- Experience with LLMs, NLP systems, or applied ML in production settings is highly desirable.- Ability to assess complex technical information and provide constructive, detail-oriented feedback.- Excellent written communication skills, both for technical and explanatory writing.- Ability to operate independently with sound judgment under ambiguous conditions.- Passion for AI development, data quality, and technological advancement. Nice to have:- Publications in machine learning, AI, or computer science journals/conferences.- Experience working with human feedback loops in ML systems (e.g., RLHF, data annotation, model alignment).- Teaching, mentoring, or technical writing experience in ML or related technical domains.- Exposure to generative AI applications or prompt engineering. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Mechanical Engineering Specialist - AI Trainer to join one of our clients. You'll play a crucial role in advancing the capabilities of AI models by evaluating and refining responses in the field of mechanical engineering. Your expertise in areas such as thermodynamics, statics, dynamics, mechanics of materials, and fluid systems will be essential to ensuring the technical accuracy and quality of AI outputs. This role requires domain knowledge, attention to detail, and a passion for improving data quality in AI systems. Responsibilities:- Evaluate and critique AI-generated responses in mechanical engineering, ensuring clarity, correctness, and relevance.- Provide expert feedback on topics like materials science, fluid mechanics, mechanical design, and manufacturing processes.- Help curate and annotate datasets used to fine-tune models with mechanical engineering content.- Identify edge cases, model errors, and technical inaccuracies in engineering outputs.- Collaborate with interdisciplinary AI teams to enhance model understanding and response quality. Qualifications:- PhD or MS in Mechanical Engineering or a closely related field.- Alternatively, 3+ years of professional experience as a Mechanical Engineer in academia, industry, or applied R&D settings.- Solid understanding of mechanical engineering principles, design practices, and simulation tools.- Strong ability to explain complex concepts clearly in writing.- Comfortable with ambiguous tasks and capable of exercising independent judgment in technical assessments.- Excellent attention to detail, especially in technical communication and numerical accuracy. Nice to have:- Experience with CAD tools, FEA, CFD, or robotics systems.- Teaching, tutoring, or curriculum development experience in mechanical engineering.- Publications or technical writing in engineering disciplines.- Exposure to generative AI systems or LLMs.- Experience with RLHF or data annotation for technical domains. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Music Specialist - AI Trainer to join one of our clients. You'll play a key role in shaping the future of AI-powered creativity by evaluating and refining music-related outputs generated by advanced AI systems. With your deep expertise in composition, music theory, and production, you will ensure the technical, stylistic, and conceptual accuracy of the musical data used to train and enhance machine learning models. This unique opportunity allows you to apply your artistic judgment and analytical rigor at the intersection of music and AI. Responsibilities:- Evaluate AI-generated musical content for accuracy, creativity, musicality, and adherence to genre/style.- Use internal tools to score, annotate, and critique musical examples across various formats and tasks (e.g., compositions, arrangements, melodic or harmonic completions).- Provide expert feedback on structure, harmony, orchestration, and production quality.- Help curate, refine, or author musical examples across multiple genres and traditions to support training datasets.- Collaborate with AI and engineering teams to refine annotation protocols and evaluation frameworks.- Stay adaptable as task requirements evolve and model capabilities advance. Qualifications:- PhD in Composition, Experimental Music, Music Theory, Music Technology, or a related discipline.- Exceptional aural and analytical skills, with the ability to dissect and interpret music accurately.- Hands-on production expertise, fluent with DAWs (e.g., Logic, Ableton, Pro Tools), mixing, arranging, and digital synthesis techniques.- Genre versatility, with demonstrated fluency in styles including classical, jazz, pop, EDM, film/game scores, world music, and experimental idioms.- Deep understanding of harmony, form, orchestration, and style, with the ability to critique or create musical material from a structural perspective.- Strong pedagogical instincts, with experience in teaching, tutoring, or mentoring in musical analysis or creative practice.- Interest or experience in AI-assisted music tasks, such as evaluating model outputs, tagging musical features, or generating example-based training data. Nice to have:- Released works (e.g., albums, EPs) or notable professional credits (e.g., commissions, film/game scoring, major live performances).- Published academic work in music theory, cognition, or technology.- Experience with notation software (e.g., Sibelius, Finale, Dorico) or music engraving.- Familiarity with computational musicology, MIR, or symbolic music representations (e.g., MIDI, MusicXML). About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Neuroscience Specialist- AI Trainer. You will play an essential role in supporting the training of AI models focused on cognitive science, brain function, and neural networks by reviewing expert content. Your expertise in neuroscience will ensure the accurate understanding and representation of brain-behavior relationships, disorders, and therapies in AI outputs. Responsibilities:- Evaluate AI-generated neuroscience content across domains such as cognitive psychology, neuroanatomy, and pharmacology.- Provide feedback based on the latest neuroscientific understanding.- Contribute to the development of tools for curating neuro-related content.- Review academic and clinical neuroscience topics for relevance and accuracy.- Apply critical reasoning to identify gaps in AI outputs and suggest improvements. Qualification:- PhD in Neuroscience, Cognitive Science, or a related field.- Familiarity with neuroimaging, neuropsychology, or neural modeling.- Strong writing and research abilities.- Experience in simplifying complex neuroscience concepts for learners.- Passionate about integrating AI in education and research. Nice to have:- Peer-reviewed publications in neuroscience.- Experience teaching or tutoring in neuro fields.- Background in science communication or medical writing.- Exposure to brain-computer interface or neuro-AI research. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Physics Specialist - AI Trainer. You will play a vital role in advancing AI by reviewing expert-annotated physics data using proprietary software. Your in-depth understanding of physics will be key in enhancing AI model accuracy, ensuring precise and reliable content. This role demands analytical thinking, adaptability, and a passion for blending physics expertise with AI technology. Responsibilities:- Utilize proprietary software to evaluate AI-generated physics content and offer expert feedback.- Ensure high-quality physics data curation to enhance AI model training.- Collaborate with technical teams to refine annotation tools and methodologies for physics-related tasks.- Assess AI-generated and human responses in various physics domains, from classical mechanics to quantum theory.- Interpret, analyze, and review physics tasks based on evolving guidelines. Qualifications:- PhD in Physics or a closely related field (either in progress or completed within the last 10 years).- Strong research and analytical skills, with expertise in fundamental and applied physics.- Proficiency in both informal and professional scientific writing.Excellent communication and organizational abilities.- Ability to independently evaluate data and make informed decisions.- Passion for AI, innovation, and technology. Nice to have:- Research experience with published work in a reputable physics journal.- Experience in AI-assisted education or tutoring.- Teaching experience as a professor, lecturer, or tutor in physics.- Experience in technical writing, science communication, or professional scientific writing. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.We are seeking an exceptional legal professional to join our Knowledge Management & Applied Research Team. This individual will serve as a Subject Matter Expert (SME) in personal injury litigation and partner closely with our technical teams, including engineering, product, and design, to shape the future of legal technology. The Applied Legal Researcher will play a critical role in developing proprietary datasets, guiding model fine-tuning, and enhancing the legal accuracy and impact of AI-generated work.We’re open to candidates based in San Francisco or Toronto, where this role would be hybrid with an expectation of working from the office at least 3 days per week. For candidates based elsewhere in the U.S., this is a remote role and can be performed from anywhere in the United States.What You'll Do:Maintain and expand EvenUp’s knowledge base to support high-quality demand packages and legal documents for personal injury claims.Collaborate with Product, Data Science, and Machine Learning teams to enhance product offerings, develop AI systems, and tackle complex legal automation challenges.Design and refine case-specific templates and support firm- and state-level customization in partnership with clients.Conduct legal research on liability and damages nationwide, monitor statutory and common law changes, and mentor the Legal Operations Team on evolving legal standards.Lead quality assurance efforts through audits, benchmark development, and prompt engineering to support model evaluation and fine-tuning.What We Look For:Active license to practice law and in good standing with at least one U.S. state bar.5+ years of experience in personal injury litigation, including demonstrated expertise in first- and third-party bad faith claims involving all types of insurance coverage.Exceptional legal drafting skills, with a track record of producing complex legal documents such as pre- and post-litigation demands, medical summaries, written discovery responses, legal memoranda, and other high-value personal injury materials.Meticulous attention to detail across all forms of written communication.Deep knowledge of personal injury law across multiple states, including both statutory and common law frameworks, and a strong grasp of recoverable damages and their limitations.Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks:Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco, Los Angeles, and TorontoPlease note the above benefits & perks are for full-time employees About EvenUp:EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Think Different. Build the Future. 🚀Our MissionBuild everyday AGI—trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.Why AGI, Inc.We’re a stealth team of elite ex-founders, Stanford and Berkeley researchers, and DeepMind alumni. With years of agent research, our platform already runs live agent workflows with 99.9% reliability. Our investors funded the first wave of AI giants; now they’re backing us to deliver the next—everyday AGI.If you see possibility where others see limits, read on. About the RoleYou’ll be one of the first engineers defining the mobile experience for our future‑shaping AI agents. As a Full Stack Mobile Engineer, you’ll design, build, and scale cross‑platform apps—delivering responsive, intuitive interfaces deeply integrated with our AGI backend. Your work will directly shape how millions interact with their AI companion, ensuring smooth user journeys from UI components through API layers and real-time data flows.Key ResponsibilitiesArchitect and implement cross‑platform mobile apps (iOS/Android) using React Native or Flutter, delivering polished, native‑feel experiences. Integrate intelligent agent features—like contextual summarization, proactive suggestions, and natural language interactions—into the mobile UI via real‑time APIs. Build secure, scalable backend endpoints (Node.js/Python) to support mobile data sync, offline-first behavior, and real-time updates. Optimize performance by diagnosing and removing bottlenecks—from render cycles to data throughput. Harness "vibe coding" tools and AI‑augmented workflows to accelerate development velocity and maintain coding quality businessinsider.com. Collaborate closely with designers, AI researchers, and backend engineers through agile processes, including code reviews, pair programming, and sprint planning. Deploy, maintain, and monitor mobile apps in App Store and Play Store, ensuring CI/CD, testing, crash reporting, and analytics are in place. You BringExperience: 3+ years in full‑stack mobile development, with strong expertise in React Native or Flutter. Technical Skills: Proficiency in JavaScript/TypeScript (or Dart), mobile UI frameworks, REST/gRPC APIs, and backend services (Node.js, Python). System Design: Experience building offline-capable mobile apps, managing data sync, authentication, and real-time updates. Performance Mindset: Proven ability to diagnose and resolve UI and data-layer bottlenecks; familiarity with profiling tools. AI Familiarity: Comfort integrating AI modules or agent-powered features on mobile; ability to consume LLM-based APIs seamlessly. Collaboration: A proactive teammate and excellent communicator, comfortable navigating a fast-paced startup environment. Vibe Coding Savvy: Experience using AI-powered developer tools (e.g., Cursor, Bolt, GPT-based coding assistants) to augment your workflowOur Culture🏢 All in, in person. Sparks fly faster face-to-face. 🚀 Ship by default. Novel and polished can coexist—speed is the feature. 🤝 One band, one sound. Radical candor, zero politics, help each other win.Our perks🍽 Snacks at the office.🏥 Fully covered medical, dental, and vision insurance for employees.✈️ Relocation and immigration support.

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description:Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.Responsibilities:Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment.Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.Required Qualifications:Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud).Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:4+ years of hands-on experience as an applied ML/AI researcherExperience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journalsProfessional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description:Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.Responsibilities:Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment.Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.Required Qualifications:Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud).Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:4+ years of hands-on experience as an applied ML/AI researcherExperience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journalsProfessional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.