{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/applied-mathematics"},"x-facet":{"type":"skill","slug":"applied-mathematics","display":"Applied Mathematics","count":10},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c7e58f60-5fa"},"title":"Software Engineer - Learning Engineering and Data (LEaD) Program","description":"<p>As a member of our Miami-based Learning Engineering and Data (LEaD) program, you will work alongside technology mentors and leaders to develop and maintain applications and tools spanning front-office, middle-office, and back-office functions in a dynamic and fast-paced environment.</p>\n<p>Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.</p>\n<p>Candidate is expected to:</p>\n<ul>\n<li>Work closely with technology teams to develop requirements and specifications for varying projects</li>\n<li>Take part in the development and enhancement of the backend distributed system</li>\n<li>Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions</li>\n</ul>\n<p>Qualifications/Skills Required:</p>\n<ul>\n<li>2-5 years of experience working with C++, Python, or Java</li>\n<li>Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)</li>\n<li>Must be comfortable working in both Unix/Linux and Windows environments</li>\n<li>Good understanding of various design patterns</li>\n<li>Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts</li>\n<li>Solid communication skills</li>\n<li>Able to work collaboratively in a fast-paced environment with a passion to solving complex problems</li>\n<li>Detail oriented, organized, demonstrating thoroughness and strong ownership of work</li>\n</ul>\n<p>Desirable Skills/Knowledge:</p>\n<ul>\n<li>Bachelor or Master&#39;s degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field</li>\n<li>Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time</li>\n<li>Hands-on experience building ML and data pipeline architectures</li>\n<li>Understanding of distributed messaging systems</li>\n<li>Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)</li>\n<li>Experience with relational and non-relational database platforms</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c7e58f60-5fa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"IT LEad Program","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755953879362","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","Python","Java","ML libraries","Pandas","NumPy","FastAPI","Boost","Spring Boot"],"x-skills-preferred":["Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field","Demonstrable passion for developing LLM-powered products","Hands-on experience building ML and data pipeline architectures","Understanding of distributed messaging systems","Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)","Experience with relational and non-relational database platforms"],"datePosted":"2026-04-18T22:13:11.242Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami, Florida, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"C++, Python, Java, ML libraries, Pandas, NumPy, FastAPI, Boost, Spring Boot, Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field, Demonstrable passion for developing LLM-powered products, Hands-on experience building ML and data pipeline architectures, Understanding of distributed messaging systems, Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred), Experience with relational and non-relational database platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_36e235bd-519"},"title":"Senior Data Science Manager, AI Products","description":"<p>How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox&#39;s AI-first journey? As the Sr Data Science Manager for Dash Experience, you will get to do exactly that.</p>\n<p>You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.</p>\n<p>Joining on the ground floor of this startup team, you&#39;ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Manage and scale a high performing team of data scientists</li>\n</ul>\n<ul>\n<li>Coach and mentor data scientists of varying experiences to ensure their continued growth</li>\n</ul>\n<ul>\n<li>Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment</li>\n</ul>\n<ul>\n<li>Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies</li>\n</ul>\n<ul>\n<li>Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written</li>\n</ul>\n<ul>\n<li>Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate</li>\n</ul>\n<ul>\n<li>Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities&#39; long-term growth</li>\n</ul>\n<ul>\n<li>Identify what matters most and prioritise ruthlessly</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field</li>\n</ul>\n<ul>\n<li>10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company</li>\n</ul>\n<ul>\n<li>3+ years of experience directly managing data scientists or product analysts</li>\n</ul>\n<ul>\n<li>Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact</li>\n</ul>\n<ul>\n<li>Deep understanding of statistical analysis, experimentation design, and common analytical techniques</li>\n</ul>\n<ul>\n<li>Experience using data to inform product and business decisions that led to measurable outcomes</li>\n</ul>\n<ul>\n<li>Exceptional verbal and written communication skills</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience in startups or building 0→1 products</li>\n</ul>\n<ul>\n<li>Expertise in using data to inform AI/ML product development</li>\n</ul>\n<ul>\n<li>Background in SaaS product</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Canada Pay Range $187,900-$254,100 CAD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_36e235bd-519","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dropbox","sameAs":"https://www.dropbox.com/","logo":"https://logos.yubhub.co/dropbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dropbox/jobs/7512377","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$187,900-$254,100 CAD","x-skills-required":["data science","statistics","applied mathematics","economics","computer science","engineering","quantitative discipline","data-driven analysis","product roadmap","business decision","data science projects","user experience","measurable business impact","statistical analysis","experimentation design","common analytical techniques","data-driven insights","product roadmaps","strategies","communication skills","verbal and written communication"],"x-skills-preferred":["startups","AI/ML product development","SaaS product"],"datePosted":"2026-04-18T15:55:53.682Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada: Select locations"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, statistics, applied mathematics, economics, computer science, engineering, quantitative discipline, data-driven analysis, product roadmap, business decision, data science projects, user experience, measurable business impact, statistical analysis, experimentation design, common analytical techniques, data-driven insights, product roadmaps, strategies, communication skills, verbal and written communication, startups, AI/ML product development, SaaS product","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":187900,"maxValue":254100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_38ba8f1b-783"},"title":"Occupational Math Tutor","description":"<p>As an AI Tutor – Occupational Math Specialist, you&#39;ll help advance xAI&#39;s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You&#39;ll focus on math as it is used in real-world occupational settings, such as finance, accounting, insurance, operations, logistics, skilled trades, and healthcare analytics.</p>\n<p>Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.</p>\n<p>Basic Qualifications: A Master&#39;s or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor&#39;s degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.</p>\n<p>Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_38ba8f1b-783","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4997616007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $75/hour","x-skills-required":["applied mathematics","probability and statistics","financial math","optimization under constraints","geometric and measurement calculations","specialized software","proprietary tools","data labeling","data evaluation","curated data","task refinement","workflow refinement","domain expertise","tax codes","building codes","regulatory compliance","professional certifications","prior professional experience","AI Tutoring experience","experience building and reviewing complex spreadsheets","financial or risk models","dashboards","technical drawings"],"x-skills-preferred":["CFA","FRM","SOA exams","CPA","Six Sigma","PE","licensed surveyor","asset management","retail or commercial banking","insurance pricing/reserving","accounting/audit","logistics/supply chain planning","healthcare analytics","public policy analysis","skilled trades"],"datePosted":"2026-04-18T15:55:17.270Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied mathematics, probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, specialized software, proprietary tools, data labeling, data evaluation, curated data, task refinement, workflow refinement, domain expertise, tax codes, building codes, regulatory compliance, professional certifications, prior professional experience, AI Tutoring experience, experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, skilled trades"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a03720f6-bc3"},"title":"Solutions Architect","description":"<p>As a Solutions Architect at Databricks, you will partner with our customers to design scalable data architectures using Databricks technology and services.</p>\n<p>You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle.</p>\n<p>In partnership with our Account Executives, you will engage with our customers&#39; technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes.</p>\n<p>You will work with teams across Databricks and our executive leadership to represent your customer&#39;s needs and build valuable customer engagements and report to the Field Engineering Manager.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.</li>\n</ul>\n<ul>\n<li>Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.</li>\n</ul>\n<ul>\n<li>Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.</li>\n</ul>\n<ul>\n<li>Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.</li>\n</ul>\n<ul>\n<li>Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:</li>\n</ul>\n<ul>\n<li>Big data engineering (Ex: Spark, Hadoop, Kafka)</li>\n</ul>\n<ul>\n<li>Data Warehousing &amp; ETL (Ex: SQL, OLTP/OLAP/DSS)</li>\n</ul>\n<ul>\n<li>Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)</li>\n</ul>\n<ul>\n<li>Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)</li>\n</ul>\n<ul>\n<li>Experience translating a customer&#39;s business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.</li>\n</ul>\n<ul>\n<li>Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.</li>\n</ul>\n<ul>\n<li>Fluent in SQL and database technology.</li>\n</ul>\n<ul>\n<li>Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.</li>\n</ul>\n<ul>\n<li>Desired: Built solutions with public cloud providers such as AWS, Azure, or GCP</li>\n</ul>\n<ul>\n<li>Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)</li>\n</ul>\n<ul>\n<li>Travel to customers in your region up to 30% of the time.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a03720f6-bc3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/5898477002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$164,500-$224,000 CAD","x-skills-required":["Big data engineering","Data Warehousing & ETL","Data Science and Machine Learning","Data Applications","SQL and database technology","Python, Scala, Java, or R"],"x-skills-preferred":["Built solutions with public cloud providers such as AWS, Azure, or GCP","Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)"],"datePosted":"2026-04-18T15:54:41.801Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Big data engineering, Data Warehousing & ETL, Data Science and Machine Learning, Data Applications, SQL and database technology, Python, Scala, Java, or R, Built solutions with public cloud providers such as AWS, Azure, or GCP, Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":164500,"maxValue":224000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_96dfd797-f1c"},"title":"Research Scientist","description":"<p>We&#39;re seeking a talented Research Scientist to join our team. As a Research Scientist at Anduril, you will contribute to the direction of a talented small team with your expertise and ideas. You will create mathematically principled solutions to some of the world&#39;s most challenging information science problems. You will prototype state-of-the-art algorithms in an agile development environment. You will implement high-performance software spanning the spectrum from tactical systems to web applications. You will use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology. You will engage with our customers, to ensure successful outcomes for their mission-critical needs. You will help your colleagues and customers understand what you&#39;re doing and why.</p>\n<p>A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:</p>\n<ul>\n<li>Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;</li>\n<li>Engineering: controls, estimation theory, digital signal processing, and machine learning;</li>\n<li>Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;</li>\n<li>Probability: statistics and random processes.</li>\n</ul>\n<p>A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_96dfd797-f1c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/4695436007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$148,000-$195,000 USD","x-skills-required":["Applied Mathematics","Electrical Engineering","Computer Science","Controls and Dynamical Systems","Aerospace Engineering","Statistics and Probability","Software Design","Algorithm Implementation","Software Analysis","Testing and Optimization","Probability","Statistics","Random Processes"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:36.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Huntsville, Alabama, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Applied Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, Software Design, Algorithm Implementation, Software Analysis, Testing and Optimization, Probability, Statistics, Random Processes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":148000,"maxValue":195000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2bf2ad20-150"},"title":"Occupational Math Tutor","description":"<p>As an AI Tutor – Occupational Math Specialist, you&#39;ll help advance xAI&#39;s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You&#39;ll focus on math as it is used in real-world occupational settings (e.g., finance, accounting, insurance, operations, logistics, skilled trades, healthcare analytics).</p>\n<p>Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.</p>\n<p>Basic Qualifications: A Master&#39;s or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor&#39;s degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.</p>\n<p>Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2bf2ad20-150","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://x.ai/","logo":"https://logos.yubhub.co/x.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4997616007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $75/hour","x-skills-required":["applied mathematics","probability and statistics","financial math","optimization under constraints","geometric and measurement calculations","skilled trades","insurance and risk","logistics and operations","finance and banking","accounting and tax","health and social data"],"x-skills-preferred":["professional certifications","prior professional experience","AI Tutoring experience","experience teaching or training others","experience building and reviewing complex spreadsheets"],"datePosted":"2026-04-18T15:47:04.566Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied mathematics, probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, skilled trades, insurance and risk, logistics and operations, finance and banking, accounting and tax, health and social data, professional certifications, prior professional experience, AI Tutoring experience, experience teaching or training others, experience building and reviewing complex spreadsheets"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f77be5b8-7b6"},"title":"Finance Expert - Risk","description":"<p>As a Finance Risk Expert at xAI, you will play a crucial role in advancing our cutting-edge AI systems by providing high-quality annotations, expert evaluations, and detailed risk reasoning using specialized labeling tools.</p>\n<p>You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing &amp; scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).</p>\n<p>This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI&#39;s mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.</p>\n<p>Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects</li>\n<li>Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards</li>\n<li>Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks</li>\n<li>Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools</li>\n<li>Select and solve challenging problems from financial risk domains where you have deep expertise</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant</li>\n<li>Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)</li>\n<li>Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&amp;P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)</li>\n<li>Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm</li>\n<li>Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance</li>\n<li>Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)</li>\n<li>Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)</li>\n<li>Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)</li>\n<li>Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)</li>\n<li>CFA, FRM, PRM, CQF, or similar risk-focused certifications</li>\n<li>Previous exposure to large language models, AI safety, or quantitative evaluation pipelines</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit</li>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required</li>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs</li>\n<li>For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time</li>\n<li>We are unable to provide visa sponsorship</li>\n<li>For those who will be working from a personal device, your computer must meet xAI’s minimum hardware requirements</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f77be5b8-7b6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5040365007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":null,"x-skills-required":["Quantitative Finance","Financial Engineering","Financial Mathematics","Statistics","Applied Mathematics","Econometrics","Risk Management","Operations Research","Physics","Computer Science","Python","R","Monte Carlo simulation","copula models","stochastic processes","time-series analysis","extreme value theory","machine learning","Bloomberg","Refinitiv","Moody’s Analytics","S&P Capital IQ","RiskMetrics","internal bank risk systems","regulatory filings","Basel/FRB datasets"],"x-skills-preferred":["Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm","Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance","Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)","Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)","Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)","Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)","CFA, FRM, PRM, CQF, or similar risk-focused certifications","Previous exposure to large language models, AI safety, or quantitative evaluation pipelines"],"datePosted":"2026-04-18T15:37:52.243Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science, Python, R, Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, machine learning, Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm, Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance, Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training), Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.), Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.), Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II), CFA, FRM, PRM, CQF, or similar risk-focused certifications, Previous exposure to large language models, AI safety, or quantitative evaluation pipelines"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2f60560e-b87"},"title":"Applied Math Tutor","description":"<p>As an AI Tutor - Applied Math Specialist, you&#39;ll play a key role in advancing xAI&#39;s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software.</p>\n<p>You&#39;ll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging applied math problems to boost performance.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software applications to provide input/labels on defined projects.</li>\n<li>Support and ensure the delivery of high-quality curated data.</li>\n<li>Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.</li>\n<li>Interact with the technical staff to help improve the design of efficient annotation tools.</li>\n<li>Choose problems from applied math domains that align with your expertise, focusing on areas such as probability, statistics, numerical analysis, optimization, operations research, dynamical systems, data modeling, and related fields where you can confidently provide detailed solutions and evaluate model responses.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Must have either (a) a Master’s or PhD in Mathematics with a specialization in a subdomain of applied mathematics (there is a separate position for pure math) or (b) a medal in an International Math Olympiad (IMO) or similar level math competition.</li>\n<li>Proficiency in reading and writing, both in informal and professional English.</li>\n<li>Strong ability to navigate various information resources and databases.</li>\n<li>Outstanding communication, interpersonal, analytical, and organizational capabilities.</li>\n<li>Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.</li>\n<li>A strong passion for and commitment to technological advancements and innovation.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Math PhD with a specialization in a subdomain of applied mathematics.</li>\n<li>Peer-reviewed applied math publications in well-regarded journals.</li>\n<li>Previous AI Tutoring experience and/or experience teaching college courses.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.</li>\n<li>For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.</li>\n<li>We are unable to provide visa sponsorship.</li>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2f60560e-b87","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4925878007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $75/hour","x-skills-required":["applied mathematics","probability","statistics","numerical analysis","optimization","operations research","dynamical systems","data modeling"],"x-skills-preferred":["math PhD","peer-reviewed publications","AI tutoring experience"],"datePosted":"2026-04-18T15:32:44.335Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied mathematics, probability, statistics, numerical analysis, optimization, operations research, dynamical systems, data modeling, math PhD, peer-reviewed publications, AI tutoring experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_306a6a6f-98c"},"title":"AI Tutor - Crypto","description":"<p>As a Crypto Expert, you will be vital in enhancing xAI&#39;s frontier AI models by supplying high-quality annotations, evaluations, and expert reasoning using proprietary labeling tools. You will work closely with technical teams to support the creation and refinement of new AI tasks, focusing especially on cryptocurrency and digital asset markets.</p>\n<p>Your deep domain knowledge will guide the selection and rigorous solving of complex problems in quantitative crypto strategies , including on-chain analysis, DeFi protocols, perpetual futures &amp; derivatives trading, cross-exchange arbitrage, market microstructure in fragmented venues, MEV-aware execution, machine learning for crypto alpha signals, and portfolio/risk management in high-volatility 24/7 markets.</p>\n<p>This role demands sharp quantitative thinking, quick adaptation to evolving instructions, and the ability to deliver precise, technically robust critiques and solutions in a dynamic environment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Utilize proprietary software to deliver accurate labels, rankings, critiques, and in-depth solutions on assigned projects</li>\n<li>Consistently produce high-quality, curated data adhering to rigorous technical and domain standards</li>\n<li>Partner with engineers and researchers to iterate on new training tasks, evaluation frameworks, and crypto-specific benchmarks</li>\n<li>Offer actionable feedback to enhance the efficiency, accuracy, and usability of annotation and data-collection interfaces</li>\n<li>Identify and solve challenging problems from crypto &amp; digital asset domains where you have strong expertise , examples include:</li>\n</ul>\n<ul>\n<li>On-chain metrics analysis and wallet/flow clustering for alpha generation</li>\n<li>DeFi yield farming, liquidity provision, and impermanent loss modeling</li>\n<li>Cross-exchange / CEX-DEX arbitrage and triangular opportunities</li>\n<li>Perpetual futures funding rate strategies and basis trading</li>\n<li>Market microstructure in crypto order books (fragmented liquidity, MEV, sandwich attacks)</li>\n<li>Machine learning models for price prediction, sentiment from social/on-chain, volatility forecasting</li>\n<li>Tokenomics evaluation, airdrop/IDO quantitative assessment, and risk premia in altcoins</li>\n<li>Portfolio optimization and risk management in 24/7 high-volatility environments</li>\n</ul>\n<ul>\n<li>Provide rigorous critiques of model outputs, alternative quantitative approaches, mathematical derivations, code snippets, and step-by-step crypto reasoning</li>\n<li>Efficiently interpret, analyze, and complete tasks based on detailed (and evolving) guidelines</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Computer Science (with crypto/blockchain focus), Statistics, Applied Mathematics, Economics (quantitative), Physics, Operations Research, Data Science, or closely related field or equivalent professional experience as a quantitative crypto trader, systematic strategist, or on-chain analyst</li>\n<li>Superior written and verbal English communication (technical papers, explanatory breakdowns, professional correspondence)</li>\n<li>Extensive hands-on familiarity with crypto data sources and tools (CoinGecko, CoinMarketCap, Dune Analytics, Glassnode, Nansen, Chainalysis, Messari, DefiLlama, The Graph, blockchain explorers, CEX APIs, on-chain datasets, etc.)</li>\n<li>Outstanding analytical skills, attention to detail, and sound judgment under partial information</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Professional experience in quantitative crypto trading, systematic strategies, or on-chain research at a crypto hedge fund, prop desk, market-making firm, DeFi protocol, or digital asset investment firm</li>\n<li>Publications or public analyses in crypto quant topics (e.g., journals, conferences, reputable blogs, GitHub repos with notable traction)</li>\n<li>Teaching, mentoring, or content-creation experience in crypto/quant finance (university, bootcamps, Twitter threads, newsletters)</li>\n<li>Proficiency in Python for crypto analysis (pandas, NumPy, ccxt, web3.py, etherscan APIs, polars, scikit-learn, PyTorch/TensorFlow for ML models, etc.) and/or Rust/Solidity familiarity</li>\n<li>Experience with backtesting crypto strategies, handling tick-level or on-chain data, managing API rate limits, and dealing with 24/7 market quirks</li>\n<li>Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena</li>\n<li>CFA, FRM, CQF, or blockchain-specific certifications (e.g., Certified Blockchain Expert)</li>\n<li>Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts (strong plus)</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.</li>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.</li>\n<li>For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.</li>\n<li>We are unable to provide visa sponsorship.</li>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: $25/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_306a6a6f-98c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5040344007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$45/hour - $100/hour","x-skills-required":["Proprietary software","Python for crypto analysis","Rust/Solidity familiarity","Machine learning models","Quantitative finance","Financial engineering","Computer science","Statistics","Applied mathematics","Economics","Physics","Operations research","Data science"],"x-skills-preferred":["Professional experience in quantitative crypto trading","Publications or public analyses in crypto quant topics","Teaching, mentoring, or content-creation experience in crypto/quant finance","Proficiency in Python for crypto analysis","Experience with backtesting crypto strategies","Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena","CFA, FRM, CQF, or blockchain-specific certifications","Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts"],"datePosted":"2026-04-18T15:32:12.526Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Proprietary software, Python for crypto analysis, Rust/Solidity familiarity, Machine learning models, Quantitative finance, Financial engineering, Computer science, Statistics, Applied mathematics, Economics, Physics, Operations research, Data science, Professional experience in quantitative crypto trading, Publications or public analyses in crypto quant topics, Teaching, mentoring, or content-creation experience in crypto/quant finance, Proficiency in Python for crypto analysis, Experience with backtesting crypto strategies, Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena, CFA, FRM, CQF, or blockchain-specific certifications, Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a8785a0d-1a8"},"title":"Engine Programmer - Animation","description":"<p>We are looking for an Engine Programmer – Animation passionate about technical and creative challenges, with solid programming expertise and a deep understanding of Videogame Animation.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<p>The Engine Programmer – Animation will work within a AAA production team (unannounced project).</p>\n<p>This is a critical role, where supporting the engine and animation teams in the creation and delivery of &#39;best in class&#39; animation is a priority.</p>\n<p><strong>What you need</strong></p>\n<ul>\n<li>Design, develop, and implement animation features in our in-house game engine using C++, C#, and Python.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a8785a0d-1a8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ubisoft","sameAs":"https://jobs.smartrecruiters.com","logo":"https://logos.yubhub.co/ubisoft2.com.png"},"x-apply-url":"https://jobs.smartrecruiters.com/Ubisoft2/744000109536266-engine-programmer-animation-f-m-nb-","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","C#","Python","game engine","animation features"],"x-skills-preferred":["memory principles","algorithmic logic","applied mathematics","game engines","production pipelines"],"datePosted":"2026-02-16T23:01:54.521Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bordeaux"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, C#, Python, game engine, animation features, memory principles, algorithmic logic, applied mathematics, game engines, production pipelines"}]}