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Location: New York Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest in building the best creator platform with the best team in the creator economy and are looking for Software Engineering Interns to support our mission. This role is based in San Francisco or New York and open to those who are able to be in-office 3 days per week on a hybrid work model. Our summer internship is a 12-week program running May–August or June–September 2027. This internship is designed for students graduating between December 2027 and June 2028. ABOUT THE ROLE What you will do: - Make an impact. You’ll build and ship a feature that directly supports the creator economy and helps your favorite creators turn their passions into sustainable careers. - Collaborate with the best. You’ll be embedded within a world-class engineering team, working closely with engineers, product managers, designers, and data scientists to bring your project to life. - Learn and grow. With guidance from an experienced engineer mentor, you’ll tackle technical challenges, gain hands-on experience, and grow your skills throughout the internship. - Have fun! Beyond building great products, you’ll participate in team activities and events. ABOUT YOU - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (i.e. Mathematics, Physics). - Strong foundation in Computer Science fundamentals and data structures. - Proficiency in one or more programming languages such as Python, Swift, Kotlin, or TypeScript. - Eagerness to learn, adapt, and grow through feedback. - Genuine passion for Patreon’s mission and supporting the creator economy. ABOUT PATREON Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon.com. Patreon operates under a hybrid work model, where engineering interns are expected to come into the office three days per week, excluding sick time and leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: San Francisco Workplace: Hybrid Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for Software Engineering Interns to support our mission. This role is based in San Francisco or New York and open to those who are able to be in-office 3 days per week on a hybrid work model. Our summer internship is a 12-week program running May–August or June–September 2027. This internship is designed for students graduating between December 2027 and June 2028. ABOUT THE ROLE What you will do: - Make an impact. You’ll build and ship a feature that directly supports the creator economy and helps your favorite creators turn their passions into sustainable careers. - Collaborate with the best. You’ll be embedded within a world-class engineering team, working closely with engineers, product managers, designers, and data scientists to bring your project to life. - Learn and grow. With guidance from an experienced engineer mentor, you’ll tackle technical challenges, gain hands-on experience, and grow your skills throughout the internship. - Have fun! Beyond building great products, you’ll participate in team activities and events. ABOUT YOU - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (i.e. Mathematics, Physics). - Strong foundation in Computer Science fundamentals and data structures. - Proficiency in one or more programming languages such as Python, Swift, Kotlin, or TypeScript. - Eagerness to learn, adapt, and grow through feedback. - Genuine passion for Patreon’s mission and supporting the creator economy. ABOUT PATREON Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon.com. Patreon operates under a hybrid work model, where engineering interns are expected to come into the office three days per week, excluding sick time and leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE You'll help build the geometric foundation of the next-generation world map — joining our World Map Research Engineering team (Geospatial Alignment) as a Research Engineer or Senior Research Engineer. This is an end-to-end applied research role that spans from strong engineering and data-systems work to R&D in 3D deep learning, transformers, and foundation models. You'll develop new algorithms, produce the research data and evaluation assets needed to advance them, and engineer the resulting capabilities into dependable production systems. The World Map team works with heterogeneous captures from phones and handheld devices, aerial imagery, LiDAR, and 360 cameras, as well as external geographic and elevation data. The central challenge is to harmonize these data sources, quantify uncertainty, and maintain consistency as the map evolves. You'll work at the intersection of cutting-edge research and scalable engineering — developing new approaches to geospatial registration, correspondence, and geometric optimization, then productionizing these technologies to directly improve Niantic Spatial's world model. What You'll Do - Geospatial Registration — Develop and advance algorithms for world-scale georeferencing and registration across imagery, 3D reconstructions, point clouds, and geographic reference data. - 3D Geometry & Correspondence — Build and improve methods spanning multi-view geometry, SfM, SLAM, feature matching, learned correspondence, bundle adjustment, point-cloud registration, and ICP. - Data & Evaluation — Create the data and evaluation flywheel for world-scale mapping — design and maintain large-scale datasets, pipelines, benchmarks, and evaluation methodologies that expose hard failure modes, accelerate research iteration, and support production. - Learning-Based 3D Reasoning — Explore and develop learning-based approaches for geospatial understanding, combining transformers and 3D foundation models with geometric priors and uncertainty modeling. - Production Robustness — Design robust solutions for challenging real-world conditions: sparse or noisy GPS, changing appearance, inconsistent reconstruction quality, large geographic extents, and imperfect reference maps. - Cross-Functional Collaboration — Partner with leading researchers in visual localization, 3D computer vision, and mapping — as well as engineering and product teams — to identify high-impact problems and turn research breakthroughs into end-to-end production systems. - Research Communication — Share results clearly through technical writing, design reviews, and internal presentations; contribute to publications and open research where appropriate. WHAT YOU'LL BRING - Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Photogrammetry, or a closely related field — or equivalent research or industry experience. - Strong grounding in 3D computer vision, machine learning, robotics, photogrammetry, or a closely related area. - Demonstrated experience with 3D geometry and several relevant areas — multi-view reconstruction, SfM, SLAM, camera pose estimation, point-cloud registration, image-based localization, georeferencing, or sensor fusion. - The ability to formulate ambiguous real-world problems, choose the right mathematical or learning-based tools, and evaluate solutions rigorously. - Strong Python skills and experience with modern ML and scientific-computing libraries (PyTorch, NumPy, SciPy). - Strong software engineering skills — you can turn research prototypes into reliable, scalable, and maintainable systems. - A track record of taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. - Clear written and verbal communication; able to collaborate effectively across research and engineering disciplines. NICE TO HAVE - PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field — not required, but valued. - A strong publication record or active involvement in the research community at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, 3DV, ICRA, or RSS. - Experience with learning-based approaches for visual or 3D understanding — transformers, point transformers, foundation models, or methods combining learned representations with explicit geometric priors. - Experience with aerial or satellite imagery, GNSS/GPS, geodesy, mapping systems, or large-scale spatial data. - Evidence of technical leadership, mentorship, or successful cross-functional delivery. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. We welcome applications from candidates who require visa sponsorship. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Serbia; Montenegro; Georgia; Armenia Libertex Group Overview Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. We build innovative fintech so people can #TradeForMore with Libertex. Job Overview We are looking for a Junior Payments Analyst who will help monitor payment activity, reconcile transactions, handle payment-related queries, and coordinate with payment service providers (PSPs). Working alongside experienced colleagues, you will develop practical knowledge of online payments and take ownership of clearly defined operational tasks. This role is suited to someone early in their career who enjoys working with numbers, pays attention to detail, and follows tasks through to completion. You will receive guidance on our systems and procedures, with support available for complex or unfamiliar situations. Responsibilities Check PSP balances daily and flag funding needs to the team. Monitor payment performance, help investigate transaction issues, and perform daily reconciliations. Process routine manual settlements, refunds, and financial adjustments in line with internal procedures and approval requirements. Handle payment-related requests from internal teams, including transaction tracing, refund enquiries, and requests for Acquirer Reference Numbers (ARNs). Monitor shared payment inboxes, respond to routine queries, and route requests to the appropriate teams, following up where required. Coordinate with payment providers on operational issues, account documentation, and routine updates. Track PSP notifications, including technical changes, payment limits, country availability, and contractual notices, and share relevant information with the appropriate colleagues. Collect monthly fee information, reconcile invoices, and prepare regular reports. Manage assigned tasks and recurring responsibilities through to completion, keeping task records up to date and meeting agreed deadlines. Communicate promptly about blockers, potential delays, and changes in workload, and ask for guidance or additional tasks when needed. Requirements Experience in payments, finance operations, reconciliation, or a related support role is an advantage, but is not essential. Comfortable working with numbers and checking data accurately. Working knowledge of Microsoft Excel, including formulas, filters, and basic data analysis. Good written and spoken English for day-to-day communication with colleagues and external providers. Good organisational skills, with the ability to manage routine tasks, follow up consistently, and meet agreed deadlines. A responsible and proactive approach: you keep track of your assigned areas, ask questions when something is unclear, and raise issues early. Clear and responsive communication, including keeping colleagues informed of progress and expected follow-up times. Willingness to learn, follow established procedures, and seek support for unfamiliar or complex cases. A degree in Finance, Mathematics, Economics, or a related field is a plus. Benefits Quarterly bonuses based on Company performance Medical Insurance Plan with coverage for the employee and their immediate family from day one (Montenegro based) 24 working days of annual leave Corporate events and team building activities Udemy Business unlimited membership & language training courses Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.

Location: United States; Panama; Guatemala; Mexico; Costa Rica; Canada About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.

Location: San Francisco, CA | New York City, NY 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 Accelerating scientific discovery is a core part of Anthropic's mission, and we believe the highest-leverage path to this is enabling researchers externally to use Claude effectively for their work. This involves communicating Claude’s rapidly improving scientific capabilities through outreach and editorial programs, as well as putting Claude in the hands of researchers through grants, ergonomic research tools, and access programs that help scientists do more with AI than was previously possible. We’re hiring a Technical Program Manager to be the bridge between the researchers advancing Claude’s scientific capabilities and the outside scientific community. Embedded with the Discovery team, you’ll conceptualize and run the programs that get Claude into scientists’ hands and shape the Anthropic Science Blog, working with Communications, Editorial, Beneficial Deployments, and external partners such as universities, funders, and scientific societies. This is a technical role, not a purely operational one. These programs already have strong operational and editorial owners. You bring research taste and a firsthand understanding of how academia works, so we’re looking for someone who has been a researcher themselves, ideally through a postdoc or beyond. You’ll have significant autonomy: once aligned with Discovery’s leads on strategy, you’ll drive decisions on what we fund, what we publish, and how we engage with academic communities Key responsibilities Act as the interface between research and the outside world. Stay close to the researchers working on Claude's scientific capabilities and translate rapid capability gain into use by external researchers. Help set Anthropic’s external science strategy. Recommend which scientific areas and communities we focus on, and how our programs, collaborations, and communications fit together Guide the scientific direction of the Anthropic Science Blog . Work with researchers and the Editorial team to identify and source stories internal and external stories worth telling, draft and edit posts, and keep a steady cadence of high-quality science writing. Drive forward external science programs. Design, launch, and run grants and access programs such as AI for Science grants and Team plan offerings for research groups, as well as partnerships with scientific foundations and grantmaking organizations. Work with Beneficial Deployments on programs aimed at the highest-impact scientific areas. Gather feedback from scientific communities. Identify usage patterns and gather feedback on how researchers use Claude and what capability gaps exist, and turn it into concrete recommendations for research and product teams. Minimum qualifications A PhD in a scientific or mathematical field, with a track record of original research Demonstrated writing ability for both scientific domain and general-interest audiences, with enough understanding of how modern AI models are trained to write about them accurately. Experience with the grants process, such as applying for and managing competitive funding, and ideally designing, reviewing, or administering funding programs Deep engagement with frontier AI: you use these tools in your own work, understand where they're strong and where they fail, and take seriously the possibility that AI will transform every face of the scientific process within the next few years Track record of driving multi-stakeholder projects to completion, and of coordinating people who are juggling other high-priority work. You’re resourceful, high-agency, and able to navigate ambiguity and shifting priorities. Credibility with researchers: you can talk to scientists as a peer and understand how academic communities work, including their incentives, norms, and sensitivities Fast learner who builds deep contextual understanding in unfamiliar scientific domains and can contribute meaningfully to discussions with researchers outside your own field. Preferred qualifications Experience as a program officer, program director, or fellowship lead at a science funder, research agency, or philanthropy Published science writing in outlets such as Quanta, Scientific American, or Physics Today, or a substantial public writing presence such as a blog or newsletter Research experience that uses AI or ML methods, or that involves building scientific software, tools, or datasets Experience building partnerships with scientific societies, journals, or research institutions Familiarity with AI safety and responsible deployment, including dual-use considerations in fields like biology Experience organizing conferences, workshops, or large coordinated launches The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Brazil; Peru; Colombia; Argentina; Paraguay; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM CF Benchmarks is the leading regulated cryptocurrency index provider, authorized as a registered benchmark administrator under the UK Benchmarks Regulation. Its indices are integrated into six of the eleven spot Bitcoin ETFs in the US and power 99% of the regulated crypto derivatives market, with over $40 billion in assets referencing its benchmarks. We are looking for a Java Developer to join the CF Benchmarks Index Team. You will be responsible for implementing new financial benchmarks and for ensuring the smooth running of the CF Benchmarks platform. You should be diligent with a keen attention to detail and a track record of seeing tasks/projects through to conclusion. The ideal candidate should have experience working as a developer within fintech for at least 3 years. To learn more about CF Benchmarks, please click here https://www.cfbenchmarks.com/about/crypto-facilities   THE OPPORTUNITY - Build benchmark calculation systems based on new and innovative methodologies - Work closely with the product team to develop new features supporting business requirements in an end to end manner - Broadly contribute in the areas of data analysis, core infrastructure, core backend, business logic implementations and more - Support a 24/7 real-time distributed system as part of a wider team - Help ensuring all systems have suitable coverage with tests, metrics and alarms - Help provide world class pricing and data services to the crypto and financial world - Be part of one of the fastest growing crypto companies in the world     WHAT YOU BRING - Experience in software development, with a focus on backend development - Possess a solid foundation of Java applications - Ability to develop iteratively for a high throughput, real time system - Highly capable of writing maintainable, simple, efficient and dependable code - Understanding of modern development processes such as CI/CD, Git - Strong mathematical and reasoning skills - Strong written and verbal communication skills in English - Excellent problem-solving skills, attention to detail, and ability to work independently and as part of a team     NICE TO HAVES - Experience working with benchmarks or pricing models, or broader financial knowledge - Experience working with cryptocurrency or blockchain technology - Experience working with SQL and data analytics skills - Familiarity with common middlewares such as RPC, protobuf, message queues, Redis       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

— Design and run product experiments end to end - form hypotheses, define test duration and required sample size, assess whether the expected result is achievable, evaluate A/B tests and determine statistical significance;

Location: Anywhere in Belgium HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE INSURANCE TEAM ⭐️ Being part of Alan's insurance community is a great opportunity to have a significant impact on people's health and wellbeing in our multiple countries of operation. - We are at the heart of Alan's mission, bringing to the team our technical leadership and expertise on healthcare and death & disability insurance. - We work hand in hand with our data scientists, designers, engineers and product managers to build the most differentiating products and provide a delightful experience at a fair price. - We build and manage offers for large companies and public institutions with our sales and account management teams. - We make sure our portfolio is closely monitored and risks are effectively managed. - We also manage our capital, steer our reinsurance strategy and maintain a trusting relationship with our insurance regulators. ⭐️ THE INSURANCE PRICING & BUSINESS ROLE IN BELGIUM ⭐️ The role is to: - Price and shape offers with our sales teams for large corporates and public institutions, - Act as a trusted technical advisor in client meetings, - Design insurance products that fit member needs and regulation, - Support account managers in renewing our most strategic clients, including indexation and loss-ratio conversations. In Belgium, recent missions include: - Build winning products and pricing strategies to unlock new segments - Bring insurance expertise to help us sign the largest customers in Belgium, including public tenders - Strengthen our competitiveness through coverage and price trade-offs - Work with engineers to build tools to create tailored insurance offers at scale - Be part of an insurance community at the global level, with an impact on our organisation, hiring and training across multiple countries. ⭐️ IS IT YOU WE'RE LOOKING FOR? ⭐️ You may be a great fit for the role if: - You have 3+ years of experience in an actuarial, pricing or underwriting role, ideally on health, hospitalisation or group insurance - You are fluent in English and Dutch; French is a strong plus - You combine a scientific background (actuarial sciences, statistics, mathematics or data science) with an analytical, structured and fact-based way of working - You are comfortable navigating technical, data, legal and business questions with clients and internal teams - You are excited to bring technical expertise into a business-centric context, and are at ease with ambiguity - You have a builder mindset: you continuously identify opportunities to improve and scale processes and tools - You communicate in a clear, structured and to-the-point way in English (written and spoken) - You are willing to deeply change the insurance industry and challenge the status quo For this role, we are looking to hire within the C1-E level range. It is based in Belgium with remote work flexibility. 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are looking for a highly analytical and detail-oriented person to join our growing team in Ebene, Mauritius. Reporting to the Manager of Interchange and Automation Unit, you will be the analytical backbone of our commercial performance, executing the data workflows that ensure our global sales teams are incentivized correctly and our revenue insights are flawless. At Checkout.com http://Checkout.com, "high performance is a science, not an accident." In this role, you will be fully involved in Interchange definition, set up and investigation. You should be a problem-solver who loves digging into the numbers to find the truth and ensure that we are operating in the most accurate way possible. WHAT YOU WILL BE DOING - Support the development and maintenance of interchange fee models by translating scheme rules and business requirements into clear mapping and configuration inputs. - Execute reconciliations and analytical checks to validate data accuracy, identify variances, and support root-cause investigations. - Investigate operational issues across fee calculations, invoices, transaction data, and reporting, escalating material or complex issues with a clear analysis of the problem and recommended next steps. - Contribute to the implementation of scheme mandates and fee changes by coordinating inputs, tracking actions, and supporting timely and accurate deployment. - Maintain and improve recurring data workflows, controls, and documentation, identifying opportunities to reduce manual effort and improve process reliability. - Produce regular management reporting and data visualisations, adapting the analysis and level of detail to the needs of different audiences. - Support testing and validation of automation, configuration, and data changes before they are introduced into operational processes. - Contribute to cross-functional projects that improve Cost of Sales operations, reconciliation, data quality, and operational efficiency. - Build knowledge of interchange operations and become a dependable point of contact for defined processes and recurring investigations. ABOUT YOU - Experience: You have 2–4 years of experience in Data Analytics, Revenue or Sales Operations, Finance, Cost of Sales, or a similarly analytical role in a fast-paced environment. - Quantitative foundation: You have a qualification in Accounting, Mathematics, Economics, Finance, or another quantitative discipline, or equivalent practical experience. - Analytical problem-solving: You can work through large or imperfect datasets, identify anomalies, and explain the likely drivers of a variance clearly. - Technical capability: You are confident using Google Sheets or Excel, including complex formulas, data manipulation, and analysis. Experience with SQL, data visualisation, workflow tools, or automation is a plus. - Payments knowledge: You have an interest in payments, card schemes, or financial operations. Familiarity with Visa or Mastercard interchange and fee rules is helpful but not essential. - Delivery mindset: You are organised, dependable, and able to manage recurring operational tasks while progressing improvement work. - Stakeholder collaboration: You communicate clearly, ask effective questions, and work constructively with technical and non-technical stakeholders. - Attention to detail: You take pride in accurate outputs and understand the importance of controls, documentation, and evidence in financial operations. - Adaptability: You are comfortable with changing priorities, ambiguity, and learning new systems and processes quickly. #PaceMatters Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. An Analyst II within the Risk Monitoring Team is responsible for independently managing high-priority and complex investigations in line with relevant policies and processes, supporting the risk assessment and monitoring of our global e-commerce merchants’ portfolio. In this role, you will review alerts generated by our in-house monitoring tools, conduct detailed quantitative and qualitative analyses, exercise sound risk-based judgement, and make informed decisions and well-reasoned recommendations. You will liaise with internal and external stakeholders, clearly communicate the results of your findings, and accurately document investigations in our case management tool. Through your reviews, you will identify potentially fraudulent or high-risk merchants, as well as genuine merchants who may be victims of fraud, and recommend appropriate actions to mitigate risk in both scenarios. What your responsibilities will be: - Demonstrate a proficient understanding of acquiring risk and maintain an in-depth working knowledge of card schemes’ rules. - Conduct comprehensive background checks on merchants and perform in-depth analysis and risk investigations using multiple internal and external resources, with a focus on high-priority and complex cases. - Complete complex tasks and milestones within tactical initiatives, special projects, and process-improvement activities. - Assist with quality assurance and mentor Analyst I colleagues by providing guidance and support, particularly on complex investigations. - Educate merchants and relevant stakeholders on fraud and dispute-management practices to support effective risk mitigation. - Create and communicate clear reports to relevant stakeholders on merchant risk concerns, investigation outcomes, and recommended actions. - Use AI tools effectively and responsibly to support research, analysis, documentation, and operational efficiency, while applying appropriate human judgement and oversight. - Suggest innovative ideas and provide feedback to enhance processes, controls, tools, and infrastructure, striving for continuous improvement in risk-monitoring operations. What you will need to be successful (skills and competencies) - Bachelor’s degree, preferably in Risk, Management, Finance, Business, Mathematics, Economics, or a related field, with a minimum of three years of experience in a similar role. - Demonstrable knowledge or experience in the payment processing industry, e-commerce, acquiring risk, fraud and dispute management, and card schemes’ rules. - Proficient in managing structured processes and consistently identifying opportunities to streamline approaches and improve operational efficiency. - Exceptional analytical, critical-thinking, problem-solving, and decision-making skills, with the ability to make informed, risk-based decisions in complex and time-sensitive situations. - Skilled at working collaboratively and communicating effectively, with the ability to positively influence stakeholders across various departments. - Capable of adapting to fast-paced and agile settings while managing demanding timelines, priorities, and schedules. - Proficient in English; additional fluency in French is a plus. - Demonstrates acute attention to detail, strong organisational skills, and effective time management. - Strong mentoring and training abilities, with the confidence to guide and support less experienced analysts. - AI fluent, with the ability to evaluate AI-generated outputs critically and use AI tools effectively and responsibly in risk-monitoring activities. Experience you will bring to the role: - As an Analyst II, you are expected to bring your experience in performing relevant analyses and conducting investigations for suspected fraudulent merchants and action flags in a timely manner. - You should possess strong verbal and written communication skills to document and articulate the requirements, analysis and recommendations in a clear and concise manner to the stakeholders and customers. - You must have a solution-driven approach with exemplary investigative and critical thinking skills. - You must also be detail-oriented, capable of multitasking, working independently with little supervision, and possessing good decision-making, time management, and organizational skills. - You will assist in mentoring and guiding junior analysts, ensuring knowledge transfer and skill development. You should also possess the ability to escalate and resolve complex issues and questions, serving as a primary point of contact for such matters. - You should demonstrate proven ability to assist in projects and collaborate effectively with cross-functional teams. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are looking for 3D Reconstruction Research Scientist to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting, feed-forward models, and generative models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world-class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. WHAT YOU’LL DO - Conduct original research in computer vision, machine learning, and spatial AI. - Design, implement, and evaluate novel algorithms for: - 3D reconstruction - Neural scene representations - 3D Gaussian Splatting - Geometric deep learning - Structure-from-Motion (SfM) - Meshing - Feed-forward models - Generative models - Spatial foundation models - Collaborate with research scientists and engineers to transition promising ideas into future products. - Develop large-scale experiments and benchmarking frameworks. - Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers. - Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. WHAT YOU’LL BRING - PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered. - A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas. - Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc. - Strong programming skills in Python and experience in PyTorch. - Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar. - Ability to independently drive research projects from idea generation through experimentation and publication. NICE TO HAVE - Experience with classical reconstruction tooling (COLMAP or similar). - C++ or CUDA experience, and a feel for performance and on-device constraints. - Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: United States Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Senior Statistical Programmer Consultant to join one of our clients. ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts. We are seeking an experienced Senior Statistical Programmer with hands-on experience in Gene Therapy clinical trials to lead study-level statistical programming activities. The ideal candidate will have strong SAS programming expertise, a solid understanding of clinical trial data and regulatory requirements, and the ability to independently manage programming deliverables in collaboration with Biostatisticians and cross-functional teams. Experience in Gene Therapy clinical development is essential. Experience in Oncology or Internal Medicine is also valuable. Key Responsibilities Lead statistical programming activities for Gene Therapy clinical trials from study start-up through database lock, analysis, and reporting. Develop, review, and validate SAS programs for SDTM, ADaM, Tables, Listings, and Figures (TLFs). Collaborate with Biostatisticians to interpret study protocols, Statistical Analysis Plans (SAPs), and programming specifications. Develop and validate clinical datasets and statistical outputs for safety and efficacy analyses. Support interim and final analyses, database lock activities, and Clinical Study Report preparation. Ensure programming deliverables comply with CDISC standards and applicable regulatory requirements. Perform independent validation and quality control of datasets, TLFs, and other programming outputs. Support regulatory submissions and address programming-related questions from internal and external stakeholders. Manage study-level programming timelines, deliverables, and quality expectations. Identify and resolve complex programming issues and proactively communicate risks. Provide technical guidance and mentorship to other Statistical Programmers. Participate in client-facing meetings and collaborate with cross-functional project teams. Required Qualifications Bachelor's or Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field. Significant experience in clinical trial statistical programming within a pharmaceutical, biotechnology, or CRO environment. Hands-on experience supporting Gene Therapy clinical trials is required. Strong proficiency in SAS programming. Strong knowledge of CDISC standards, including SDTM and ADaM. Experience developing and validating clinical trial TLFs. Ability to independently lead study-level programming activities. Understanding of clinical trial processes, statistical analysis, and regulatory reporting. Excellent analytical, communication, and problem-solving skills. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #senior#contract

Location: United States Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Senior Statistical Programmer Consultant to join one of our clients. ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts. We are seeking an experienced Senior Statistical Programmer with strong expertise in clinical trial programming and a solid background in oncology . The successful candidate will be capable of independently leading statistical programming activities across clinical studies, partnering closely with statisticians, clinical teams, and other cross-functional stakeholders. This role requires strong technical expertise in SAS programming, CDISC standards, and clinical trial reporting , along with the ability to take ownership of programming deliverables and provide guidance to junior team members. Key Responsibilities Lead statistical programming activities for clinical studies within the oncology therapeutic area , from study start-up through database lock, analysis, and reporting. Develop, review, and maintain high-quality SAS programs for SDTM, ADaM, Tables, Listings, and Figures (TLFs) . Lead programming activities for interim and final analyses, including complex efficacy and safety analyses. Work closely with Biostatisticians to understand statistical analysis plans, programming specifications, and study requirements. Develop and review programming specifications and ensure consistency with study protocols, SAPs, and statistical methodology. Support the creation and validation of CDISC-compliant SDTM and ADaM datasets . Generate and validate TLFs for clinical study reports, regulatory submissions, and other clinical deliverables. Perform independent programming validation and quality control of statistical outputs and datasets. Support submission-related activities and respond to programming and data-related queries from cross-functional and regulatory teams. Identify potential programming issues and proactively communicate risks, timelines, and solutions to project stakeholders. Coordinate programming activities across studies and ensure deliverables are completed within agreed timelines and quality standards. Provide technical guidance and mentorship to Statistical Programmers and other programming team members. Participate in client/project meetings and effectively communicate technical information to both technical and non-technical stakeholders. Required Qualifications Bachelor's or Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field . Strong experience in clinical trial statistical programming , preferably within a CRO, pharmaceutical, or biotechnology environment. Significant experience working on oncology clinical trials . Basic or working knowledge of R programming is preferred. Experience supporting regulatory submissions Strong proficiency in SAS programming , including Base SAS and relevant SAS procedures used for clinical trial reporting. Strong knowledge of CDISC standards , particularly SDTM and ADaM. Experience developing and validating TLFs for clinical trials. Experience working with complex clinical trial data and supporting statistical analyses. Ability to independently manage programming deliverables and lead study-level programming activities. Strong understanding of clinical development processes, including protocols, SAPs, datasets, TLFs, and clinical study reports. Excellent communication, organizational, problem-solving, and collaboration skills. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #senior#contract

Location: Worldwide; Poland; Serbia; Georgia; Armenia Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Lead Marketing Analyst. Your main tasks will be: Owning marketing analytics processes, reporting frameworks, dashboards, and data quality standards to ensure reliable and actionable insights across the organization; Monitoring key marketing and business performance metrics, identifying growth opportunities and performance issues, conducting root cause analysis, and providing data-driven recommendations; Designing, prioritizing, and evaluating marketing experiments and A/B tests to optimize acquisition, retention, engagement, and overall marketing efficiency; Developing, maintaining, and improving analytical and predictive models used in marketing decision-making, including attribution, forecasting, segmentation, and budget allocation models; Driving continuous improvement initiatives by identifying optimization opportunities, automating analytical workflows, and implementing best practices in marketing measurement and analytics. We expect from you: Higher education in a technical, mathematical, or economics-related field; Strong proficiency in SQL; Advanced Google Sheets skills, including confident use of pivot tables; Strong knowledge of statistics and A/B testing methodologies; Hands-on experience in marketing analytics and predictive modeling; English proficiency at B2 level or higher . Nice to have: Experience with Python or R for data analysis and statistical modeling; Experience building automated reporting and analytics workflows; Experience with marketing experimentation frameworks and incrementality measurement; Experience working with attribution models, paid acquisition channels, and advertising platforms (e.g. Google Ads, Meta Ads). What do we offer: REMOTE OPPORTUNITY to work full time; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; Full payment for professional training, international conferences and meetings; Corporate discount for English lessons; ​ Health benefits. If you are not eligible for Corporate Medical Insurance, the company will compensate up to $1000 gross per year per employee according to the paychecks. This can be spent on self-purchase of health insurance, or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in the locations where we have offices or co-working. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for time off, merch, team building activities, massage certificates, etc. Sounds good? Join us now! The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.