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Application Deadline: Address: 151 W 42nd Street Job Family Group: Audit, Risk & Compliance Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model development and communicates decisions regarding model use to the business/management to ensure transparency and understanding of models and model risks. Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks. Teams and Culture: • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do., • Ensures alignment between values and behaviour that fosters diversity and inclusion., • Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through., • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders., • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance. Key Responsibilities: • Develops validation strategies and plans to ensure appropriate type and level of validation of models is carried out., • Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model validation process, standards, guidelines and principles, which includes:, • Lead model validation efforts across various volatility regimes, including stochastic volatility, stochastic-local volatility, and jump‑diffusion frameworks., • Develop, enhance, and maintain independent benchmark models for exotic derivatives (e.g., autocallables, barriers, quantos, range accrual, variance products, hybrids)., • Analyze complex payoff structures and produce accurate pricing, Greeks, and scenario analyses., • Review and validate model calibration routines to vol surfaces, correlation structures, and multi‑asset dynamics, and assess the data for model development as well as inputs to the model;, • Design and implement scalable testing libraries using C++, Python, or similar high‑performance languages., • Compares validation results with model developer results for replicability., • Measures the effectiveness of validation and monitoring framework; recommends changes as required., • Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders. (detailed work), • Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken., • Optimize numerical methods (e.g., PDE solvers, Monte Carlo engines, adjoint methods) to improve performance and stability., • Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations., • Mentor junior quants and contribute to long‑term quantitative research initiatives., • Collaborate closely with trading desks to deliver strategic analytics, improve risk metrics, and support trade ideation., • Provides technical advice and guidance to assigned business/group on implementation of the model validation framework, and resolution of model risk issues., • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group., • Represents the model validation program / portfolio for internal/external regulatory audits and/or examinations. Qualifications • Advanced degree (PhD or Master’s) in quantitative fields such as mathematics, financial engineering, physics, or computer science., • 15+ years of hands‑on experience in equity derivatives model validation or front‑office quantitative research., • Deep knowledge of stochastic calculus, probability theory, and numerical analysis., • Strong programming skills in C++ and Python; experience with distributed computing a plus., • Verbal & written communication skills - In-depth / Expert., • Analytical and problem solving skills - In-depth / Expert., • Familiarity with regulatory frameworks (e.g., FRTB, model risk governance) in a derivatives context. Salary: $150,700.00 - $261,800.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: _ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at _ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to _ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

PhD Data Scientist – Generative AI & Machine Learning 📍 New York, NY or Sunrise, FL (Hybrid) 💰 $100,000 – $140,000 + Benefits 🏭 Financial Services / Artificial Intelligence 🕒 Full-time W2 | 8+ Years Experience We're seeking a highly skilled Data Scientist with a PhD and strong expertise in Artificial Intelligence, Machine Learning, Natural Language Processing and Generative AI to join a global enterprise technology team supporting large-scale AI initiatives. This role will focus on designing, building and deploying production-grade AI solutions, working across the full lifecycle from research and modelling through to implementation and deployment. You'll collaborate with technical and business stakeholders to solve complex real-world challenges using advanced AI techniques. What We're Looking For ✔ PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics or a related field ✔ Strong Python programming and software engineering skills ✔ Hands-on experience building LLM, Generative AI, RAG or Agentic AI solutions ✔ Strong foundations in Machine Learning, Deep Learning and Data Science ✔ Experience developing and deploying AI models into production environments ✔ Experience with frameworks such as TensorFlow, Scikit-Learn, LangChain, CrewAI, PyTorch or similar ✔ Ability to research, evaluate and apply emerging AI technologies and methodologies Nice to Have ➕ AWS or GCP experience ➕ Kubernetes, Docker, Airflow, Kubeflow or MLFlow ➕ Experience with multimodal AI, recommendation systems, NLP or advanced forecasting If you're passionate about applying cutting-edge AI technologies to solve large-scale business problems and want to work on the next generation of AI solutions, we'd love to hear from you. Apply now to learn more.

THE ROLE We seek a seasoned Credit Quant. You will work in a collaborative environment alongside traders, quants and seasoned software engineers. You will gain exposure to numerous teams across time zones and have the chance to grow within a high functioning team. • Research and implement new trading strategies, • Analyze existing strategies to identify potential improvements, • Develop risk models and frameworks to manage portfolio risks, • Create tools to automate research tasks and improve visualization of complex data sets THE CANDIDATE • Strong knowledge of credit products and managing fixed income risk, • We are open to looking at various profiles from both buy and sell side, • Strong knowledge of credit products and managing fixed income risk, • Advanced degree (preferably PhD) in Science, Math, Engineering or other quantitative field, • Ability to express ideas mathematically and algorithmically, • Programming skills (especially C/C++ and Python)

Overview A leading global investment platform is seeking an experienced Risk Manager to partner with its expanding Systematic trading group. This role focuses on overseeing risk across systematic strategies, enhancing analytics, and working closely with portfolio managers and senior leadership across regions. Key Responsibilities • Perform ongoing monitoring and analysis of systematic portfolios, including both daily and intraday risk assessment., • Build strong working relationships with quantitative portfolio managers and senior stakeholders globally, • Evaluate and enhance model development frameworks, including simulation techniques, backtesting standards, and implementation processes, • Improve manager evaluation frameworks with emphasis on performance attribution, macro sensitivities, thematic exposures, and market crowding dynamics, • Design and implement risk methodologies tailored to short-horizon systematic strategies; develop tools and dashboards for real-time monitoring, • Contribute to the broader risk infrastructure, reporting, and analytics used across the firm, • Engage with business leadership to support strategic initiatives and risk oversight, • Participate in regular risk forums, providing insights and recommendations on portfolio exposures and risk-adjusted returns, • Assess whether portfolio risks are appropriately compensated and aligned with investment objectives Candidate Profile • Advanced degree (Master’s or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering, • Extensive experience (typically 10+ years) in quantitative finance within a risk, portfolio management, or trading capacity at a financial institution or investment firm, • Strong programming capabilities (e.g., Python, C++, or similar languages), • Solid understanding of equity-based quantitative strategies, including statistical arbitrage approaches, • Familiarity with factor-based risk models and portfolio construction techniques, • Excellent communication skills, with the ability to interact effectively across technical and non-technical teams, • Strong analytical mindset with a hands-on, problem-solving approach, • High attention to detail, with a focus on data integrity, robustness of analysis, and clarity of outputs

Apply advanced subject matter knowledge to evaluate and solve complex engineering problems. Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare,

$45 - $65/hourpayAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Consultant Expert Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Leverage your specialized industry knowledge to provide critical input and feedback for AI system training and evaluation., • Review, edit, and generate written materials in Word and PDF formats, ensuring content aligns with professional standards in your field (legal, government communications, healthcare, etc.)., • Assess the accuracy, clarity, and relevance of technical or domain-specific documents utilized by AI models., • Collaborate with a dynamic remote team to improve model performance and reliability through hands-on assessments., • Communicate findings and recommendations clearly and professionally, both in written reports and verbal discussions., • Stay current with trends and best practices within your domain to ensure AI learning remains relevant and up-to-date. Required Skills and Qualifications: • Exceptional written and verbal communication skills, with a proven ability to articulate complex concepts clearly., • Expertise in a specialized field where professional writing and document review are core components (e.g., legal, government, healthcare)., • Experience working with Word and PDF formats for professional documentation., • Minimum 3 years of relevant industry or domain experience., • Master’s, PhD, or JD from a recognized university, or equivalent practical expertise., • Experience working within Fortune 500 companies or other highly recognizable brands., • Strong attention to detail and analytical abilities. Preferred Qualifications: • Track record of producing or reviewing regulatory, policy, or compliance documents., • Experience with cross-functional or cross-disciplinary project teams in a remote environment., • Published papers, thought leadership, or formal recognition within your area of expertise.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. JOB SUMMARY The Head of AI Data Science serves as the head of AI research and leader of data science operations for a new behavioral intelligence platform initiative within Charter Communications. This executive owns the design, training, validation, and real-world application of the platform's proprietary transformer-based behavioral model — the engine that converts household-scale network signals into the embeddings and predictive features that power the platform's intelligence products. The Head of AI Data Science leads a team of data scientists and ML researchers, partners closely with the Head of Technology on infrastructure, and works in direct collaboration with external development partners during the initial build phase. This role sits on the platform leadership team and reports directly to the Head of Intelligence Ventures. HOW THE HEAD OF AI DATA SCIENCE MAKES AN IMPACT Direct the research, design, and training of the platform's proprietary transformer-based behavioral embedding model — a multi-entity architecture that encodes household behavior across multiple signal sources into dense, privacy-safe vector representations. Own the full model development lifecycle from architecture decisions and training methodology through validation, deployment, and ongoing iteration as new signal sources and use cases are introduced. Lead the design and build of the platform's Feature Store — translating embedding representations into interpretable, actionable behavioral signals including purchase propensities, category interest intensities, lifestyle affinities, and behavior velocity signals. Oversee the outcome anchoring methodology that trains predictive models against external third-party datasets to produce validated, commercially relevant intelligence outputs across target verticals. Partner with the Head of Technology and external development partners to ensure the AI/ML architecture is production-grade, built for household-scale throughput, and integrated cleanly into the platform's cloud-native infrastructure. Establish model evaluation frameworks, quality benchmarks, and MLOps practices that enforce a strong bias toward production-deployed, commercially validated outputs — not just research-quality results. Serve as the platform's primary AI research voice in external partner conversations — including technical engagements with cloud AI platforms, frontier model teams, and enterprise data partners — articulating the platform's embedding architecture, signal differentiation, and model enrichment value proposition to sophisticated technical counterparts. Contribute to the development of packaged intelligence products such as behavioral demand indices, persona clusters, and predictive propensity scores. Establish the platform's responsible AI framework — including bias testing protocols for behavioral embeddings, model documentation standards, and privacy-preserving ML techniques — ensuring all intelligence products meet ethical and regulatory standards for consumer behavioral data. Build and lead a team of data scientists and ML researchers capable of competing with talent from the world's leading AI research and applied ML organizations. Establish the team's research agenda, hiring priorities, and culture of rigorous experimentation — maintaining a clear bias toward applied, production-oriented work while preserving the intellectual ambition required to stay ahead of a rapidly evolving AI landscape. QUALIFICATIONS REQUIRED QUALIFICATIONS Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records) Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent) Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures REQUIRED EDUCATION Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field PREFERRED EDUCATION Master's degree or PhD in Machine Learning, Artificial Intelligence, Statistics, or a related quantitative discipline; PhD preferred but not required — demonstrated applied impact and production deployment track record are equally valued REQUIRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years PREFERRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Senior data science or AI research leadership at a consumer technology, media, adtech, or data intelligence company with transformer-based modeling applied at household or user scale (e.g., Amazon, Netflix, Meta, Google, The Trade Desk, LiveRamp, Nielsen) — 10 years WORKING CONDITIONS In-office position preferably based in New York City * Travel as required for partner engagements, executive meetings, and industry events Apply now, connect a friend to this opportunity or sign up for job alerts (https://jobs.spectrum.com/) ! Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. #LI-SD2 Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet®, TV, Mobile and Voice, Spectrum Networks, Spectrum Enterprise and Spectrum Reach. When you join us, you're joining a strong community of more than 101,000 individuals working together to serve more than 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. (https://www.youtube.com/watch?v=N-HEOHIAU7Q) Who You Are Matters Here We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. (https://jobs.spectrum.com/inclusiveworkplace/) #LI-SD2 #LI-SD2 XEN421 2026-72871 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $263,200.00 and $393,800.00 . The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet®, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. (https://www.youtube.com/watch?v=mYw1ejL2jZ8) Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum. (https://jobs.spectrum.com/life-at-spectrum)

PhD Data Scientist – Generative AI & Machine Learning 📍 New York, NY or Sunrise, FL (Hybrid) 💰 $100,000 – $140,000 + Benefits 🏭 Financial Services / Artificial Intelligence 🕒 Full-time W2 | 8+ Years Experience We're seeking a highly skilled Data Scientist with a PhD and strong expertise in Artificial Intelligence, Machine Learning, Natural Language Processing and Generative AI to join a global enterprise technology team supporting large-scale AI initiatives. This role will focus on designing, building and deploying production-grade AI solutions, working across the full lifecycle from research and modelling through to implementation and deployment. You'll collaborate with technical and business stakeholders to solve complex real-world challenges using advanced AI techniques. What We're Looking For ✔ PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics or a related field ✔ Strong Python programming and software engineering skills ✔ Hands-on experience building LLM, Generative AI, RAG or Agentic AI solutions ✔ Strong foundations in Machine Learning, Deep Learning and Data Science ✔ Experience developing and deploying AI models into production environments ✔ Experience with frameworks such as TensorFlow, Scikit-Learn, LangChain, CrewAI, PyTorch or similar ✔ Ability to research, evaluate and apply emerging AI technologies and methodologies Nice to Have ➕ AWS or GCP experience ➕ Kubernetes, Docker, Airflow, Kubeflow or MLFlow ➕ Experience with multimodal AI, recommendation systems, NLP or advanced forecasting If you're passionate about applying cutting-edge AI technologies to solve large-scale business problems and want to work on the next generation of AI solutions, we'd love to hear from you. Apply now to learn more.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. JOB SUMMARY The Head of Technology serves as the chief technology officer of a new behavioral intelligence platform initiative within Charter Communications. This executive is accountable for the architecture, engineering, and operations of the full technology stack — spanning large-scale data ingestion and processing, the behavioral embedding platform and feature store, ML/AI infrastructure, an agent-to-agent API layer that enables real-time intelligence exchange with external AI systems, and a business-facing agentic UI that allows non-technical users to query and act on household intelligence through natural language. The Head of Technology will build and lead a high-performance engineering team capable of competing for talent against the world's leading technology platforms, and will serve as the primary technical voice in strategic partner integrations with cloud, data, and AI platform providers. This role sits on the platform leadership team and reports directly to the Head of Intelligence Ventures. HOW THE HEAD OF TECHNOLOGY MAKES AN IMPACT Own the end-to-end technical architecture of the platform — from large-scale network signal ingestion and processing through behavioral embedding generation, feature store construction, and zero-copy intelligence delivery to enterprise partners — ensuring the platform is production-grade, built for household-scale throughput, and designed for long-term extensibility across new signal sources and use cases. Lead the build of the platform's cloud-native data and application infrastructure — including ingestion and transformation pipelines, ML/AI compute environments, zero-copy partner access frameworks, and a real-time agent-to-agent API layer that enables external AI systems (marketing agents, commerce agents, customer service agents) to query household-level intelligence and receive contextually grounded responses. Establish the engineering standards, compute architecture, and MLOps practices that will underpin the platform as it scales from initial build through general availability. Serve as the technical lead in strategic partner integrations with cloud, data, and AI platform providers, ensuring each integration is architecturally differentiated and aligned with the platform's cloud-agnostic, API-first design principles. Own the technical relationship with external development partners during the initial build phase, and establish the governance frameworks that allow partner access without compromising the platform's data boundaries or competitive architecture. Architect and deliver a business-facing agentic intelligence interface — a natural language UI that allows non-technical marketers, planners, and business users to query household behavioral intelligence, surface demand signals, and take action without requiring data or engineering support. This layer must be grounded in the platform's proprietary embeddings and features, designed for accuracy and trust, and built to serve a broad range of enterprise user personas from day one of general availability. Build and manage a world-class engineering organization capable of competing for talent with the leading technology and data infrastructure companies. Define team structure, hiring priorities, and engineering culture — balancing internal team development with external development resources as the platform scales from initial build through a full production-ready, commercially deployed product. QUALIFICATIONS REQUIRED QUALIFICATIONS Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design REQUIRED EDUCATION Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field PREFERRED EDUCATION Master's degree or PhD in Computer Science, Machine Learning, Data Engineering, or a related technical discipline REQUIRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years Engineering leadership and team-building experience, including managing senior technical staff — 7 years PREFERRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Senior technical leadership at a recommender systems, identity resolution, data infrastructure, behavioral intelligence, or AI-native product company (e.g., Amazon, Netflix, Uber, LiveRamp, Snowflake, Databricks, Segment, Palantir, Glean, Salesforce Einstein, or equivalent), ideally with experience building both a data intelligence layer and a partner-facing or user-facing application layer from the ground up — 15 years WORKING CONDITIONS In-office position preferably based in New York City, NY Travel as required for partner engagements, executive meetings, and industry events Apply now, connect a friend to this opportunity or sign up for job alerts (https://jobs.spectrum.com/) ! Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet®, TV, Mobile and Voice, Spectrum Networks, Spectrum Enterprise and Spectrum Reach. When you join us, you're joining a strong community of more than 101,000 individuals working together to serve more than 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. (https://www.youtube.com/watch?v=N-HEOHIAU7Q) Who You Are Matters Here We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. (https://jobs.spectrum.com/inclusiveworkplace/) #LI-SD2 #LI-SD2 XEN419 2026-72869 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $263,200.00 and $393,800.00 . The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet®, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. (https://www.youtube.com/watch?v=mYw1ejL2jZ8) Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum. (https://jobs.spectrum.com/life-at-spectrum)

physics research analysisscientific writingcritical thinkingproblem-solvingdata analysisquestion and exam creationremote collaborationtime managementanalytical reasoningtechnical document synthesisai training content developmentinterdisciplinary teamworkattention to detailindependent workdigital content creationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Physics Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Thoroughly analyze, interpret, and summarize complex physics documents and research papers., • Create and review high-quality questions and problems related to diverse physics topics for AI model training., • Extract key data, perform detailed computations, and validate analytical solutions in various physics domains., • Deliver clear, concise written explanations and rationales for technical problems and solutions., • Collaborate with a multidisciplinary remote team while maintaining independence in daily work., • Leverage your specialist expertise to ensure accuracy and depth in all content generated or reviewed., • Maintain a high standard of quality and consistency while meeting ongoing deadlines. Required Skills and Qualifications: • 2+ years of professional experience in physics or a closely related field, either in academia or a lab/workplace setting., • Exceptional written and verbal English communication skills, with strong attention to detail., • Proven ability to read, analyze, and synthesize technical documents and research literature., • Demonstrated experience creating, editing, or reviewing scientific questions, exams, or technical exercises., • Ability to work independently and proactively with minimal supervision in a remote setting., • Excellent critical thinking and analytical skills for data evaluation and problem solving., • Strong time management abilities to handle multiple tasks efficiently. Preferred Qualifications: • Advanced degree (MSc, PhD) in Physics or a related discipline., • Experience interfacing with AI, EdTech, or digital content creation projects., • Familiarity with interdisciplinary scientific analysis and collaborative workflows.

$20 - $60/hourpayacademic researchdocument reviewms word (advanced features: tracked changes, formatting)pdf editing and data extractionwritten communicationverbal communicationattention to detailliterature review and synthesisreport writingpresentation developmentcollaboration with cross-functional teamsremote work proficiencytime managementdeadline managementmultidisciplinary teamworkAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Academic Researcher Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Conduct in-depth research and analysis in your area of expertise, delivering high-quality, evidence-based insights., • Prepare, format, and review complex documents in Word and PDF, utilizing advanced features such as tracked changes, form filling, and data extraction., • Collaborate with cross-functional teams, including legal, healthcare, policy, and finance professionals, to support diverse project needs., • Translate complex research findings into clear, concise reports and presentations tailored for Fortune 500 standards., • Evaluate and synthesize academic literature, legal documents, or industry data to inform project outcomes., • Ensure accuracy, consistency, and compliance with designated guidelines in all written deliverables., • Maintain clear and professional written and verbal communication with project stakeholders and team members. Required Skills and Qualifications: • Minimum 3+ years of relevant professional experience in academic research, legal, policy, healthcare, or related sectors., • Master’s degree, PhD, or JD from a recognized institution., • Demonstrated expertise in preparing and reviewing Word and PDF documents (tracked changes, formatting, data extraction, document review)., • Outstanding written and verbal communication skills; meticulous attention to detail., • Ability to manage multiple priorities in a remote, deadline-driven environment., • Experience collaborating with multidisciplinary teams on complex deliverables., • Proven record of producing high-quality, client-ready outputs. Preferred Qualifications: • Experience working with or for Fortune 500 companies., • Prior involvement in legal, healthcare, policy, or financial operations document workflows., • Active publication or presentation record in academic or industry settings.

$20 - $65/hourpaymicrosoft wordpdf editing toolsdocument formattingtracked changes managementversion controldata extraction (documents)form creation (word/pdf)digital signatures (pdf)secure document handlingcompliance (legal/regulatory)confidentiality managementcross-functional collaborationwritten and verbal communicationattention to detailremote worktraining and stakeholder supportAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Word and PDF Experts Job Type: Contractor (Part-Time or Full- Time) Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Conduct comprehensive document review, editing, and formatting in Word and PDF, ensuring adherence to industry and client-specific standards., • Manage tracked changes, comments, and version control effectively across large and complex files., • Create, edit, and fill dynamic forms and templates tailored to diverse professional needs., • Execute precise data extraction and consolidation from Word and PDF documents., • Collaborate with cross-functional teams to deliver accurate, timely, and confidential document solutions., • Implement and enforce document workflows for legal, regulatory, and compliance-driven projects., • Train and support stakeholders on advanced Word and PDF functionalities and best practices. Required Skills and Qualifications: • Minimum 3+ years’ experience working intensively with Word and PDF tools in professional settings., • Advanced proficiency in document formatting, tracked changes, reviews, and markup., • Exceptional written and verbal communication skills, with acute attention to detail., • Master’s, PhD, or JD degree in a related field (e.g., law, healthcare, academia, public policy, finance)., • Track record of supporting Fortune 500 clients or similarly complex/regulated environments., • Ability to manage confidential information and sensitive materials discreetly., • Self-motivated, adaptable, and effective working independently in a remote, deadline-driven environment. Preferred Qualifications: • Experience working in specialist roles such as legal professionals, healthcare administrators, academic researchers, government consultants, or finance/real estate operations., • Proficiency in advanced PDF features (form fields, digital signatures, secure document handling)., • Portfolio demonstrating high-impact Word and PDF project delivery.

Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology. Formulate and vet biology-related questions focused on data retrieval, computation, and critical analysis. Minimum 2 years of professional experience in biology, either in academia, laboratory settings, or

The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. The AI-Ready.Mount Sinai (AIR.MS) platform contains patient data generated from the clinical care processes at the Mount Sinai Health System. AIR·MS is a cloud-based, high-performance SAP HANA data platform with electronic health record (EHR) data in an OMOP data format. It also contains metadata from and links to raw data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR.MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR.MS ingests OHDSI’s Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR.MS is integrated with Minerva, a high-performance computer with >21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading the ongoing integration of multi-modal clinical data into the AIR.MS data warehouse. The Lead Data Warehouse Engineer will assess the state of data integration, identify opportunities for data integration based on researcher’s priorities, develop a plan to integrate metadata and data, and execute on the data integration. The incumbent will work collaboratively with other members of the AIR.MS data platform and Mount Sinai Data Warehouse teams to lead technical efforts for the integration of multi-modal data sets resulting in expanded AIR.MS functionality. The AIR.MS data warehouse is built on the SAP HANA technology stack and MSDW is built on MySQL. Responsibilities • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager., • Design, build, test, and maintain data pipelines that extract/capture data from source systems, transform and augment those data, and integrate it into a multi-modal data repository., • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management., • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance., • Mentor junior engineers in data warehousing, data engineering skills, and operational support., • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON)., • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation., • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs., • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support., • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching., • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach., • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations., • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost., • Identify improvements in procedures, technology, compliance, and data privacy/security., • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring., • Perform related duties as assigned. Qualifications • Bachelor’s degree in a technical field; Master’s preferred., • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development., • Expert-level experience with data engineering technologies: SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, data transformation tools, job orchestration tools for data processing., • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git., • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment., • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet)., • Experience with database administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. _

In this hybrid role, you will report to a Software Engineering Manager. PhD with 2+ years of professional software engineering experience.

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement. Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further. East West Bank is seeking a highly experienced Senior Vice President (SVP) – Data Science & Advanced Analytics to lead enterprise-scale AI, machine learning, and advanced analytics initiatives that drive measurable business outcomes across the bank. This role is designed for a hands-on, execution-oriented leader with deep expertise in data-driven decisioning, scalable analytics platforms, and AI-enabled process transformation within highly regulated industries. The ideal candidate combines strong technical depth with practical business acumen and has a proven track record building production-grade analytics solutions that improve operational efficiency, risk management, customer experience, and profitability. The role partners closely with business, technology, data engineering, risk, compliance, and operations teams to operationalize AI and analytics capabilities across critical banking functions. Key Responsibilities • Lead the design, development, and deployment of enterprise AI, machine learning, and advanced analytics solutions across key banking domains including risk, fraud, AML/BSA, customer analytics, and operational intelligence., • Drive end-to-end analytics delivery from business problem definition through data engineering, feature engineering, model development, deployment, monitoring, and business adoption., • Build scalable and production-grade machine learning pipelines leveraging Azure-native and distributed computing frameworks including Azure ML, Databricks, Spark, and cloud-based data platforms., • Operationalize AI and analytics solutions within core business processes and decision workflows to drive measurable business value and adoption., • Partner with engineering teams to integrate models into enterprise systems through APIs, microservices, and modern data platforms., • Lead model governance, explainability, monitoring, validation, recalibration, and regulatory compliance activities aligned with banking and model risk expectations., • Establish best practices for MLOps, model lifecycle management, CI/CD automation, experiment tracking, and production monitoring., • Collaborate cross-functionally with business, risk, compliance, legal, audit, and technology stakeholders to ensure responsible and scalable AI adoption., • Mentor and lead high-performing analytics and data science teams, including distributed or offshore resources where applicable., • Translate complex analytical insights into executive-level recommendations and measurable business outcomes. Required Qualifications & Skills • 10+ years of hands-on experience in data science, advanced analytics, AI/ML engineering, or quantitative modeling, including leadership experience within financial services, fintech, insurance, or other regulated industries., • Proven track record delivering production-grade AI and analytics solutions with measurable business impact in complex enterprise environments., • Deep hands-on expertise in Python, SQL, machine learning frameworks, statistical modeling, predictive analytics, and distributed data processing., • Strong practical experience with modern AI/ML tooling and platforms including Azure ML, Databricks, Spark, TensorFlow, PyTorch, scikit-learn, XGBoost, MLflow, and cloud-native analytics ecosystems., • Experience implementing scalable MLOps frameworks including model deployment, CI/CD automation, model monitoring, experiment tracking, and governance controls., • Strong understanding of model risk management, explainability, auditability, data governance, privacy, and regulatory expectations within regulated industries., • Hands-on experience integrating analytics and AI solutions into enterprise applications, APIs, operational workflows, and decision systems., • Strong process orientation with the ability to redesign workflows and operational models using data-driven insights and AI-enabled automation., • Demonstrated ability to influence senior executives and drive cross-functional execution across business, technology, risk, and operations teams., • Excellent communication, stakeholder management, and executive presentation skills., • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline. Differentiating Experience (Highly Preferred) • Direct experience building AI and analytics capabilities within commercial banking, consumer banking, payments, lending, fraud, AML/BSA, or regulatory reporting environments., • Experience deploying Generative AI, LLM, NLP, or intelligent automation use cases in production environments., • Strong knowledge of SR 11-7, CCAR, CECL, BCBS 239, and enterprise governance frameworks related to AI and model risk., • Experience designing enterprise feature stores, vector-based retrieval systems, or real-time inference architectures., • Experience leading enterprise AI transformation initiatives from proof of concept through scaled production adoption., • Master’s degree or PhD in a quantitative discipline., • Demonstrated ability to build, retain, and scale high-performing analytics organizations. Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time. Compensation The base pay range for this position is USD $125,000.00/Yr. - USD $250,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

chemistry expertisescientific document analysisanalytical reasoningdata interpretationresearch skillsquestion and assessment creationenglish written and verbal communicationcollaborationattention to detailindependent workmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Chemistry Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze and interpret complex scientific documents, datasets, and research papers related to chemistry., • Develop, review, and refine high-quality questions and answers that challenge and expand AI understanding., • Apply analytical techniques to assess and extract key insights from provided materials., • Collaborate with cross-functional teams to ensure scientific rigor and clarity in content., • Interface with documentation and contribute to continuous process improvement., • Provide feedback and domain expertise on model outputs and system performance., • Ensure the accuracy, relevance, and integrity of all chemistry-related data and input. Required Skills and Qualifications: • Bachelor’s degree or higher in Chemistry or a closely related field., • 2+ years of professional experience in academia, laboratory, or industry settings., • Proven ability to read, comprehend, and analyze technical documents and research studies., • Excellent English proficiency, with strong written and verbal communication skills., • Demonstrated experience in data retrieval, computation, and analytical reasoning., • Ability to work independently with minimal supervision, delivering high-quality results., • Strong attention to detail and scientific accuracy. Preferred Qualifications: • Advanced degree (MS, PhD) in Chemistry or related discipline., • Experience in creating educational or assessment materials., • Familiarity with interdisciplinary collaborations (e.g., physics, biology).

Job Description At Solve Intelligence, we’re building the AI-powered infrastructure for the global Intellectual Property landscape. We need a rare hybrid - a Legal and Product Engineer who sits at the exact intersection of patent law and AI innovation to ensure our engine is technically superior and legally airtight. 🏗️ The Role: Legal and Product Engineer This isn't your typical client-facing role or traditional R&D position. You are the bridge between the complex nuances of patent practice and the cutting-edge AI technology transforming it. You will translate the "language of law" into the "logic of code." What you’ll own: AI Output Engineering: Partner with our AI researchers to iterate on algorithms and prompt engineering, specializing our LLMs for patent-specific tasks like claim analysis, prior art comparison, and obviousness assessments. Legal Benchmarking: Build proprietary datasets and evaluation frameworks to measure AI performance against real-world USPTO and international patent office requirements. Product Roadmap: Serve as the internal voice of the practitioner. You’ll translate deep client insights from global firms into high-priority product features. Strategic Partnership: Act as a technical thought partner for IP teams at firms like DLA Piper, leading pilots and ensuring our AI scales seamlessly across their prosecution and litigation workflows. Playbook Development: Document and scale best practices for AI adoption across diverse sectors, from biotech to deep-tech software. 💡 About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. Traction: 20-30% MoM revenue growth; selling to 200+ global IP teams (DLA Piper, tech boutiques, and global enterprises). Proven Value: Users report 50-90% efficiency gains using our AI platform. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Your Team You’ll work directly with a founding team of AI PhDs and systems experts: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture of "hackers" and builders. Bilingual: You can speak "Patent" to an attorney and "Prompt" to an engineer without losing anything in translation. Speed & Feedback: You want to put tools in users' hands in days, not months, and you thrive on rapid iteration. Extreme Ownership: You take responsibility for the accuracy of our AI's legal reasoning and the success of our global client deployments. Driven & Humble: You are a high-achiever willing to go the extra mile to tackle unsolved AI problems in the patent space. 🛠️ What You Bring Must-Haves: Qualified Professional: Admitted to practice before the USPTO, EPO or JPO. 3+ Years Experience: Direct experience in patent prosecution, understanding the "pain points" of the industry first-hand. Technical Foundation: Undergraduate degree in Engineering, Computer Science, or Life Sciences. Preferred & Nice-to-Haves: AI Tinkerer: Hands-on experience with prompt engineering and LLM tools. Client-Facing Pro: Proven ability to manage relationships and lead strategic product demos. Coder-Lite: Familiarity with Python or a background in software development. Visionary: A deep belief that AI will fundamentally redefine the legal landscape. 🎁 What We Offer Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company. Founding Impact: You will be the architect of how AI is applied to patent law globally. Support: Full visa sponsorship and private medical insurance. The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team. Ready to define the future of Intellectual Property? Apply now. 🚀 Compensation Range: $100K - $220K

Job DescriptionPatent Litigator 🎯 Are you a patent litigator with a technical edge who wants more than just billable hours? Do you want to shape litigation product strategy for the fastest-growing AI company in IP? Do you want to own how we evolve the patent litigation product at a company that's rewriting the rules? This is your chance to join a rocket ship! 🚀 🏗️ About the role We are looking for a super smart and talented Patent Litigator to lead and build out our patent litigation capability as we launch Charts, our new patent litigation product. You'll be joining the most lean, talent-dense, and fast-moving legal team in London. You'll be responsible for: Conducting infringement and validity analysis across technical domains Advising on litigation risk and developing strategic recommendations for clients using the platform Working directly with the engineering and AI teams to shape how Charts handles litigation workflows Supporting patent prosecution-to-litigation handoffs across the IP lifecycle Contributing to product development by translating litigation expertise into platform features Managing relationships with outside counsel and coordinating multi-jurisdictional matters 👤 About you As our founding Patent Litigator, you will have extensive experience handling complex patent disputes through associate or senior associate roles at top-tier litigation firms. 3+ years of experience as an associate or senior associate in patent litigation Technical background — ideally a patent attorney who moved into patent litigation (technical field agnostic: life sciences, electronics, mechanical, etc.) Super smart, hard working, and high agency — the kind of person who thrives in fast-paced, ambiguous environments Experience at elite patent litigation firms (e.g. Quinn Emanuel, Kirkland & Ellis, or equivalent calibre) Strong analytical and strategic thinking with the ability to break down complex technical and legal issues Based in NYC or London Nice to have: Experience across both life sciences and non-life sciences patent matters Familiarity with AI/ML tools in legal workflows Prior experience at a startup or in-house legal team Dual-qualified or experience with cross-border patent disputes 💰 What we offer Competitive base salary depending on skill and experience. Significant equity — we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. 🚀 About Solve Intelligence Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing. Growth: 20–30% MoM revenue growth; selling to 400+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~2 years since we started. Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva. Impact: 50–90% efficiency and quality improvements. See our latest Series B announcement. We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company. Come join the rocket ship 🚀 👥 Meet the founders Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College London, his masters at the University of Cambridge, and his PhD in machine learning at UCL, during which he published 10+ papers and won awards at top AI conferences and journals. Prior to founding Solve, Chris worked at The Alan Turing Institute, InstaDeep, and Dyson. Angus (Chief Technology Officer and co-founder): Angus holds an MEng in Computer Science. He led trade platform development at Coremont after roles at GCHQ and Qualcomm. Compensation Range: $150K - $250K

Job DescriptionEnvironmental Research & Sustainability - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Environmental Researchers and Sustainability Experts to join our Expert Network to help train and evaluate cutting-edge AI models using real-world ecological and climate expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills typically pay up to $45–$90 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Environmental Science, Ecology, Climate Science, Environmental Engineering, or a related field., • Professional Experience: experience in environmental impact assessment (EIA), climate modeling, conservation research, or corporate sustainability reporting (ESG)., • Domain Knowledge: deep understanding of carbon accounting, biodiversity metrics, renewable energy systems, or environmental policy., • Analytical Precision: the ability to identify errors in climate data interpretations, carbon footprint calculations, or ecological taxonomies., • Geospatial & Statistical Literacy: proficiency in interpreting GIS data, satellite imagery, and longitudinal environmental datasets., • Communication: ability to synthesize complex environmental regulations or scientific findings into clear, actionable, and technically accurate summaries., • A PayPal account to receive payment from our clients What you'll be doing in the role • Evaluate AI-Generated Research: review model responses to queries about climate change, ecosystem services, and resource management for scientific accuracy and nuance., • Fact-Check Environmental Claims: validate AI-generated data regarding emissions factors, legislative requirements, and environmental protection standards., • Assess Sustainability Logic: Critique AI-proposed solutions for waste reduction, supply chain sustainability, and habitat restoration for practical and scientific feasibility., • Annotate Geospatial & Technical Data: identify and correct errors in model-generated maps, environmental risk assessments, and species distribution models., • Ensure Policy Alignment: verify that AI responses align with the latest international environmental standards and scientific consensus (e.g., IPCC reports).Why Prolific is a great platform to join as a Participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in environmental science, environmental compliance, site assessment, permitting, remediation, sustainability reporting, and structured environmental workflow review. This role supports current and upcoming remote consulting opportunities focused on structured environmental science review, compliance documentation, permitting workflows, monitoring data assessment, remediation planning, sustainability materials, and high-quality project execution. Selected professionals will apply their environmental expertise to review realistic environmental science scenarios, evaluate technical and regulatory requirements, prepare structured written outputs, and support accurate, evidence-based environmental workflow tasks. Key Responsibilities Professionals in this role may contribute to: Environmental Assessment & Compliance Review • Review environmental scenarios involving site assessment reports, environmental impact statements, compliance materials, monitoring summaries, and regulatory documentation, • Evaluate environmental documentation against source materials, permit requirements, technical standards, and defined review criteria, • Support structured review of materials related to NEPA, CWA, CAA, RCRA, CERCLA, and other environmental compliance workflows, • Identify missing information, documentation gaps, compliance issues, and expected environmental review outcomes Permitting, Monitoring & Remediation Support • Review scenarios involving air, water, or waste permitting, monitoring data, contaminated-site investigation, remediation workplans, and environmental reporting, • Evaluate permitting and remediation materials against documented requirements, monitoring results, site conditions, and technical criteria, • Support structured review of environmental datasets, permit applications, remediation plans, field summaries, and technical reports, • Prepare clear written explanations for environmental decisions based on source materials and verifiable criteria Sustainability, ESG & Environmental Data Workflows • Review sustainability and ESG scenarios involving GHG accounting, climate-risk analysis, CDP or TCFD materials, corporate disclosures, and environmental performance reporting, • Support structured review of materials connected to tools such as Esri ArcGIS, Google Maps Platform, SAS, MATLAB, Socrata, Esri ArcGIS Hub, or similar systems, • Translate environmental science workflows into clear task documentation, review criteria, and structured written outputs, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • 3+ years of experience in environmental science, environmental engineering, environmental consulting, regulatory compliance, permitting, remediation, sustainability, ESG reporting, natural resources, ecology, or climate-risk work, • Experience in one or more areas such as environmental assessment, NEPA, CWA, CAA, RCRA, CERCLA, air permitting, water permitting, waste permitting, monitoring, contaminated-site remediation, sustainability reporting, GHG accounting, or climate-risk analysis, • Familiarity with tools and systems such as Esri ArcGIS, Google Maps Platform, SAS, MATLAB, Socrata, Esri ArcGIS Hub, environmental databases, or similar technical platforms, • Comfort reading and preparing environmental artifacts such as site assessment reports, permit applications, monitoring data summaries, environmental impact statements, ESG disclosures, remediation workplans, and technical memos, • Strong analytical thinking and written communication skills, • Ability to translate environmental science workflows into clear, structured task documentation Educational Background • A degree or professional background in environmental science, environmental engineering, ecology, geology, sustainability, climate science, public policy, natural resources, or a related field is helpful, • Master's or PhD-level training is helpful for research-heavy or highly technical environmental work, • Equivalent practical experience in environmental compliance, consulting, permitting, remediation, sustainability reporting, or environmental data review is also highly relevant Nice to Have • Experience at a federal or state environmental agency, environmental consulting firm, corporate sustainability team, university research group, or environmental nonprofit, • Familiarity with GHG Protocol, CDP, TCFD, SEC climate reporting, ESG disclosures, climate-risk frameworks, environmental justice, or natural-resource management, • Experience preparing or reviewing site assessment reports, permit applications, EIS materials, monitoring summaries, remediation plans, sustainability disclosures, or environmental compliance documentation, • Familiarity with GIS workflows, environmental modeling, statistical analysis, field data review, or public environmental datasets, • Strong attention to detail in technical, regulatory, and documentation-heavy environmental workflows Why This Opportunity • Apply environmental science and compliance expertise to structured remote project work, • Contribute to high-quality environmental documentation review, permitting analysis, remediation workflow assessment, and sustainability reporting support, • Work on flexible, project-based assignments aligned with your environmental background, • Use your environmental judgment in a focused, detail-oriented review environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $55–$80 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in chemical engineering, process design, plant workflows, process safety, scale-up, EH&S documentation, and structured process-industry review. This role supports current and upcoming remote consulting opportunities focused on structured chemical engineering review, process documentation, plant workflow analysis, process safety assessment, simulation review, environmental and safety documentation, and high-quality project execution. Selected professionals will apply their chemical engineering expertise to review realistic process-industry scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based engineering workflow tasks. Key Responsibilities Professionals in this role may contribute to: Process Design, Simulation & Scale-Up Review • Review chemical engineering scenarios involving process flow diagrams, P&IDs, mass and energy balance models, process simulations, and scale-up documentation, • Evaluate process design materials against source data, technical requirements, engineering assumptions, and expected workflow outcomes, • Support structured review of Aspen Plus, CHEMKIN, ANSYS Fluent, STAR-CCM+, or similar simulation-related materials, • Identify missing assumptions, process inconsistencies, documentation gaps, and expected technical review outcomes Plant Workflows, Safety & Reliability Support • Review plant engineering scenarios involving production workflows, turnaround plans, process changes, operating procedures, and technical documentation, • Evaluate PHA, HAZOP, OSHA PSM, safety review materials, and process risk documentation against defined requirements, • Support structured review of plant operations, process safety workflows, hazard analysis materials, and engineering control documentation, • Prepare clear written explanations for chemical engineering decisions based on source materials and verifiable technical criteria EH&S, Sustainability & Process Documentation • Review EH&S scenarios involving emissions compliance, sustainability engineering, environmental documentation, product development, and process-industry reporting, • Evaluate technical documents connected to chemical, petrochemical, specialty materials, R&D, product development, and process engineering workflows, • Support structured review of materials connected to Siemens Opcenter, Rockwell FactoryTalk, Aspen Plus, CHEMKIN, ANSYS Fluent, STAR-CCM+, or similar systems, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • 3+ years of experience in chemical engineering, process engineering, plant engineering, process design, process simulation, scale-up, process safety, EH&S, sustainability engineering, R&D, product development, or related process-industry roles, • Experience in chemical, petrochemical, specialty materials, energy, industrial manufacturing, EPC, or process-heavy engineering environments, • Background in one or more areas such as process design, process simulation, plant workflows, operations engineering, turnaround planning, PHA, HAZOP, OSHA PSM, product development, emissions compliance, or sustainability engineering, • Familiarity with tools such as Aspen Plus, CHEMKIN, ANSYS Fluent, STAR-CCM+, Siemens Opcenter, Rockwell FactoryTalk, or similar process engineering systems, • Comfort reading and preparing engineering artifacts such as process flow diagrams, P&IDs, PHA/HAZOP reports, mass and energy balance models, turnaround plans, OSHA PSM documentation, technical reports, and workflow summaries, • Strong analytical thinking and written communication skills, • Ability to translate chemical process workflows into clear, structured task documentation Educational Background • Bachelor's, master's, or PhD degree in chemical engineering, process engineering, materials engineering, environmental engineering, industrial engineering, chemistry, or a related technical field is helpful, • Equivalent practical experience in chemical process engineering, plant workflows, process safety, R&D, scale-up, or EH&S documentation is also highly relevant Nice to Have • Experience at a chemical, petrochemical, specialty materials, energy, industrial manufacturing, or major engineering/EPC organization, • Familiarity with PHA, HAZOP, OSHA PSM, mass and energy balances, process simulation, turnaround planning, emissions compliance, sustainability engineering, or plant documentation, • Experience preparing or reviewing process flow diagrams, P&IDs, simulation outputs, safety documentation, process reports, plant procedures, or technical workspaces, • PE license, process safety training, Six Sigma, Lean, EH&S, sustainability, or chemical engineering certifications are helpful, • Strong attention to detail in technical, safety-sensitive, and documentation-heavy process environments Why This Opportunity • Apply chemical engineering and process-industry expertise to structured remote project work, • Contribute to high-quality process documentation review, safety workflow analysis, simulation assessment, and technical scenario development, • Work on flexible, project-based assignments aligned with your chemical engineering background, • Use your engineering judgment in a focused, detail-oriented technical environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $60–$85 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: As a Staff Software Engineer within our Compute Architecture Org, you'll shape the backbone of our GPU-driven data centers—powering some of the most advanced workloads in AI and large-scale computing. This isn't just about keeping the lights on; it's about architecting the next generation of reliable, secure, and massively scalable infrastructure. The METALDEV team builds and operates a suite of Go-based services that power large-scale datacenter deployments. These platforms automate complex workflows while providing deep observability and monitoring for tens of thousands of GPU servers and diverse infrastructure components—including CDUs, PDUs, and NVLink switches. Our tooling is designed for next-generation rack systems like NVIDIA GB200 and GB300, as well as a broad range of GPU server platforms. • Provide technical leadership in designing, architecting, and operating large-scale infrastructure services for GPU servers, with a focus on security, reliability, and scalability., • Build and enhance infrastructure services and automation, including inventory management systems and lifecycle management solutions using open source technologies., • Drive strategic direction for infrastructure automation, lifecycle management, and service orchestration, making MetalDev core services more scalable and resilient., • Define best practices for API development (REST/gRPC), distributed databases, and Kubernetes orchestration—while mentoring engineers to follow your lead., • Partner with hardware, software, and operations teams to align infrastructure with business impact., • Contribute to open source communities (e.g., Go, Redfish) through collaboration and technical thought leadership., • Lead and improve CI/CD pipelines for hardware compliance, firmware management, and data systems., • Champion reliability and operational excellence by driving observability (Prometheus/Grafana), production incident response, and continuous service improvement.Who You Are:, • B.S., M.S., or PhD in Computer Science or related field, or equivalent experience., • 8+ years of software engineering experience with a strong focus on infrastructure, cloud engineering, and distributed databases—particularly within large-scale datacenter and cloud environments., • Expertise in Go and proven experience building REST/gRPC APIs for mission-critical platforms., • Strong background in architecting and scaling cloud-native Kubernetes infrastructure and distributed services., • Proven success in mentoring engineers, leading technical projects, and influencing engineering strategy across teams., • Experience contributing to and collaborating with open source communities., • Skilled in applying a data-driven approach to reliability, optimization, and continuous improvement., • Excellent communicator able to work effectively with both technical and non-technical stakeholders., • Hands-on experience with observability stacks (Prometheus, Grafana, PromQL), CI/CD pipelines, and operating large fleets of GPU servers., • Track record of leading incident response, postmortems, and driving robust service reliability. Preferred: • Working knowledge of Kafka, ClickHouse and CRDB., • DMTF, RedFish APIs, and GPU servers. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll combine deep cloud expertise, technical breadth, and a passion for great didactic experiences to build the next generation of cloud education at DataCamp. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation across cloud platforms (AWS, Azure, GCP) and cloud-adjacent topics such as DevOps, infrastructure-as-code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: • Manage the entire content development lifecycle and deadlines., • Source and recruit top-tier subject-matter experts as instructors., • Collaborate with instructors to create engaging content., • Consistently leverage AI tools like Claude Code, Cursor, and more to drive high-quality content production at scale., • Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective., • Continuously assess course performance using learner feedback and engagement data to drive improvements., • Identify and prioritize existing curriculum gaps or new topics in DataCamp's cloud curriculum. We're excited about you because you have the following • A solid hands-on background working with one or more major cloud platforms (AWS, Azure, or GCP). Relevant cloud certifications (e.g. AWS Solutions Architect, Google Professional Cloud Architect, Azure Administrator) are a strong plus., • Broad cloud fluency spanning infrastructure, storage, compute, networking, and managed services, with additional depth in at least one area such as cloud data engineering, MLOps, serverless, or DevOps/IaC., • A solid technical background in Python and/or SQL, with comfort working in cloud-native tooling and CLI environments., • Intuitive understanding of instructional design, with proven ability to structure and teach technical concepts clearly., • Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field—or equivalent industry experience., • Strong experience with agentic coding systems such as Claude Code, Cursor, and Replit. You consider yourself a sophisticated user of these tools. Bonus if you have the following • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course., • An existing network of potential subject matter experts who can become DataCamp instructors., • An extensive track record of building sophisticated AI systems and workflows. If you don't meet all the requirements but are excited about the role and believe your background makes you a strong fit, we encourage you to apply.

Job DescriptionResponsibilities • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact., • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed., • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring., • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields., • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems., • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork., • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels., • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.Requirements and Qualifications, • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred., • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain., • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams., • Expert level knowledge in Python and SQL for model development and statistical analysis., • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure)., • Strong foundation in data structures, algorithms, and optimization techniques., • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools., • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences., • Previous experience working inside innovative, high-growth environments is a plus., • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Job Description Job Title: Quantum Optics Scientist (Post-Doc) Location: Hoboken, NJ Division: Technology Department: R&D About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi’s entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi’s next-generation computational technologies. Duties and Responsibilities • Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing., • Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design., • Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions., • Contribute to algorithm–hardware co-design by identifying opportunities where photonic implementations provide competitive advantages., • Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi., • Publish and present research outcomes in journals and conferences. Required Skills and Experience • PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics., • Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics., • Strong background in mathematical modeling and numerical simulation of photonic or quantum systems., • Proficiency in scientific programming languages such as Python, MATLAB, or C++., • Demonstrated research record with publications in leading journals., • Strong communication skills and ability to work collaboratively across interdisciplinary teams. Preferred Qualifications • Familiarity with quantum information science, quantum computing, or related computational approaches., • Experience with integrated photonics, waveguide-based systems, or light–matter interaction models., • Knowledge of statistical physics approaches to open quantum systems and noise modeling., • Industry, government, or academic R&D experience in quantum technologies., • Experience mentoring junior researchers or working in collaborative project teams. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. We are looking for an experienced software engineer with excellent C/C++ programming skills and at least 5 years of related work experience. The ideal candidate should have a strong background in software design, debugging, and performance analysis, and a deep understanding of system level architecture. Key Requirements: • Degree in Computer Science, Computer Engineering, or related discipline, • Excellent C/C++ programming skills, • Strong experience in software design, debugging, and performance analysis, • Deep understanding of system level architecture, • Experience with Linux driver or Linux Kernel development, • Ability to work independently and lead development efforts, • Experience contributing to large open/closed source projects Preferred Skills & Experience: • Minimum 5 years of software engineering or related work experience, • Masters or PhD in Computer Science, Computer Engineering or a related discipline, • Experience with Python and using C/C++ libraries from Python (e.g. using Cython), • Focus on software quality and testing, • Experience architecting low and high level APIs, • Proficient in a variety of development styles and programming languages, • Ability to build projects from the ground up, • Comfortable working within a rapidly evolving project, • Driven and self-directed Perks: • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days, • Stock options Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow., • Leadership: Experience leading data science teams and managing multiple projects simultaneously.Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal). Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Powered by JazzHR XDOyWllq0r

Job Description Applied Physics is seeking a highly motivated Senior Electro-Optical Engineer to join our team. The successful candidate will be responsible for leading the development, design, and testing of optical systems for space-based applications. The ideal candidate will have a Bachelor's degree in Optical Engineering, Physics, or a related field and 5 or more years of professional experience, a Master's degree and 3 or more years of experience, or a related PhD. Qualifications: • Bachelor's degree in Optical Engineering, Physics, or related field; or equivalent combination of education and experience, • Experience fabricating, designing, or fielding tactical or space-based optical systems and relevant performance parameters, • Experience with integration, test, characterization, and/or verification of optical systems, • Active Top Secret security clearance or equivalent Requirements • Lead a small optical engineering team as the Certified Principal Engineer (CPE) for the build and test of prototype or high TRL optical sensor hardware, • Perform optical analysis to determine ability of designed optical systems to meet specifications, • Work with Systems Engineering to perform system level design and decomposition into optical system requirements, • Participate in studies and system trades for enhanced capabilities, • Lead development of materials for program technical reviews and present data throughout the product development and maturation processes, • Procure optical components to specification to meet performance goals, • Lead development of build documents, hardware assembly, integration, test planning, and test execution of optical systems, • Report progress periodically to program leadership and external customers and clients, • Support spacecraft integration within a program coordinating across multiple disciplines to ensure requirements verification, • Participate in failure investigations and anomaly resolution boards, • Work with Certified Principal Engineers (CPEs), Responsible System Engineers (RSEs), designers, and test engineers to ensure smooth integration at the system level, • Demonstrate effective verbal communication, develop concise and professional technical presentations, and deliver briefings to peers, leadership, and customers Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust. As a Forward Deployed Engineer, you'll have significant autonomy to build, test, and deploy AI agents that solve real problems across industries. You'll work directly with customers to understand their challenges, collaborate with our research team to push the boundaries of what's possible, and partner with product and engineering to ship solutions that work. This isn't about prompt engineering or wrapping existing LLMs. You'll be working with a novel model architecture that reasons deterministically—building the future of reliable AI agents from the ground up. As a Forward Deployed Engineer at Scaled Cognition you will: Design and build AI agents for customers across finance, healthcare, legal, operations, and more—tailored to their specific domain requirements Work with the research team to expand our models' reasoning capabilities and add new domains of expertise Partner directly with customers to iterate on implementations, gathering feedback that shapes our platform roadmap Build robust evaluation frameworks to rigorously test agent performance and reliability across edge cases Create reusable patterns and tools that make it easier to deploy agents in new domains Example projects could include: A multilingual banking support agent that handles account inquiries, financial transactions, and compliance workflows across 12+ languages A retail agent that manages complex product customization requests, inventory checks, and order modifications in real-time A telecommunications agent that diagnoses hardware issues, walks customers through troubleshooting steps, and escalates to technicians when needed You might be the right person for the job if you: Love working directly with customers and translating their needs into technical solutions Are excited about building agentic systems and exploring what's possible at the frontier of AI capabilities Thrive in ambiguous environments where you have the autonomy to define the path forward Key Qualifications: Have 3+ years of experience as a software engineer, with a track record of shipping production systems Strong Python skills and familiarity with modern AI agent development Previous experience in a customer-facing technical role (solutions engineer, forward deployed engineer, etc.)

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Employment: Full-Time Location: Brooklyn, New York (Onsite) About the Role We are seeking an energetic, personable, and adaptive researcher to work directly with the pioneering participants of our brain-computer interface (BCI) product. This role bridges human neuroscience research, applied machine learning, and real-world BCI deployment. You will work closely with our machine learning, research engineering, clinical, and product teams to collect, analyze, and interpret neural and behavioral data, contributing directly to the improvement of real-time neural decoding models and user experience. Your work will directly translate to the ability of our users to control the BCI. The ideal candidate is resourceful, learns fast, handles uncertainties strongly, and has excellent experiment operations. You should be as comfortable speaking with participants and their caregivers as you are experimenting with model training pipelines or analyzing data. Key Responsibilities • Conduct research sessions with BCI users, including setup, calibration, and structured data collection., • Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research decisions., • Develop and iterate on machine learning models for neural signal decoding and behavioral prediction., • Collaborate with machine learning and research engineering teams to align experimental protocols with product goals., • Document findings and methodologies for internal and external dissemination., • Support the design of human research protocols and ensure compliance with ethics and safety standards., • Travel regularly as required to work with participants, clinicians, and collaborators. Required Qualifications • Bachelor’s, Master’s, or PhD in Neuroscience, Computer Science, Biomedical Engineering, or a related field (or equivalent experience)., • Expertise in Python, with model training workflows (e.g., PyTorch, TensorFlow, scikit-learn, metaflow), and data science frameworks and tools (e.g., NumPy, Pandas, SciPy, matplotlib, seaborn)., • Expertise in machine learning techniques and applications for real-time systems, • Demonstrated ability to problem-solve under uncertainty and adapt quickly to new environments., • Excellent interpersonal and communication skills for working directly with BCI users and research participants., • Ability to travel frequently to the participants for research sessions. Preferred Qualifications • Experience conducting or supporting human research., • Familiarity with brain–computer interface systems or electrophysiological data., • Experience designing or executing experiments with human participants., • Experience in applied research environments integrating software, hardware, and data science.Compensation, • The base salary range for this role is $150,000 – $220,000USD depending on experience, skills, and qualifications., • In addition to base salary, this role may be eligible for discretionary bonuses and/or equity grants, subject to board approval and company policy. Visa Sponsorship We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) *Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

Job DescriptionCompany Description Columbia University's Pre-College Programs offer high-achieving high school students the opportunity to engage in exploratory coursework at the college level, studying alongside peers from around the world. This highly selective program is open to students entering grades 9 and through the summer following their senior year. Job Description Columbia University’s Pre-College Programs for high school students is seeking qualified candidates to develop and teach on-campus courses during Summer ’26. Reporting to the Senior Director of Instruction and Curriculum for Pre-College Programs, Pre-College instructors develop and deliver immersive non-credit courses for high-achieving high school students. They guide and supervise students when classes are in session, and write a holistic evaluation of each course participant after classes conclude. For more information on the program–including course sessions and times–please see here. Course Description Making urban areas livable, sustainable, and desirable is a top priority for governmental bodies, economists, business leaders, realtors, and many other key stakeholders. Shaping the way our society operates is a big job, and it’s why urban planning is such a sought-after career. Becoming an urban planner requires a combination of sophisticated skills that includes architecture, engineering, and design. Through this course, students will explore the fundamentals of urban planning, learn how to build effective communities, and discuss the best practices of working with land (including infrastructure, water, and air) to design healthy, happy, and in-demand habitats. Additionally, students will explore how transportation, business districts, and environmental concerns impact development through hands-on experiences, like field trips. By the end of the course, students will have an acumen for discussing history, theory, and pressing social issues that impact both real estate and residents’ quality of life. Note: This class will focus on this topic from a United States perspective. Course Schedule Session A: June 29 - July 17 Time: 11:10am - 1:00pm & 3:10 - 5:00pm Please note: Course(s) and course availability are subject to change. All times shown are Eastern Time (ET). Dates and class times are tentative and subject to change. Responsibilities: Develop course content, syllabus, lesson plans, and assigned work, in accordance with Pre-College templates and regulations Lead and attend all class sessions, including escorting students to and from campus for field trips Establish and maintain a dynamic in-class environment tailored for our high school population Evaluate student work and write a holistic evaluation of each participant after the course ends Monitor and address student concerns and inquiries (typical class size is 20-24 students) Attend and complete all required online trainings Qualifications • Graduate degree or equivalent professional or academic background, • Expertise in the pertinent subject matter, • Aptitude for teaching Additional Information Hiring Salary Ranges: Session A (Campus, 3 Week): $7,000 - $9,000 Please confirm your availability to teach the schedule in the Message to Hiring Manager field. Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available) Applicants must have U.S. work authorization and will need to be in the U.S. while teaching Columbia Affiliates: There may be restrictions when hiring individuals who hold a concurrent appointment at Columbia University during the Summer term. Generally, PhD students and Officers of Research are not eligible. Please check with us during the hiring process regarding your eligibility. Please note, Pre-College courses do not count towards the maximum course loads for adjuncts. Once hired, applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and Pre-College Program All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: As a transport modeling physicist at Thea Energy, you will be an architect of our plasma performance projections. You will apply advanced kinetic and fluid models to characterize heat, particle, and momentum transport in highly-optimized stellarator geometries. Your objective is to transform fundamental physics into actionable constraints, guiding our equilibrium+coil optimization and operational scenarios to ensure the success of our next generation fusion devices. Key Responsibilities: • Perform/analyze integrated modeling simulations to predict performance and develop scenarios for Thea Energy’s Eos and Helios stellarators., • Utilize gyrokinetic, fluid, and/or reduced transport solvers to provide projections of confinement, heat, particle, and momentum transport., • Maintain and extend existing gyrokinetic and transport frameworks, • Build reproducible simulation pipelines and data analysis tools to streamline the design-to-validation loop., • Use insights from turbulence and transport analysis to guide equilibrium and coil optimization., • Collaborate with the physics and engineering team to develop scenarios and interpret results from current hardware.Required Experience & Skillsets: Qualifications: • PhD in Plasma Physics, Computational Physics, Applied Mathematics, or a related field. (Candidates with a Master’s degree and 3+ years of direct experience in transport/turbulence modeling will be considered)., • Strong understanding of gyrokinetic theory and transport processes, • Expertise in developing scientific simulation codes using Python, C++, or Fortran., • Proven experience working in Linux-based HPC environments with a focus on code scalability and performance. Preferred Skills: • Direct experience running core (e.g. GENE, stella, CGYRO, GX) and/or edge (GENE-X, XGC, Gkeyll) gyrokinetic codes., • Experience with stellarator-specific equilibrium and stability codes such as VMEC, STELLOPT, DESC, and/or TERPSICHORE., • Familiarity with advanced numerical methods, GPU programming, and/or developing surrogate/reduced models., • A track record of peer-reviewed publications and the ability to present complex physics to multi-disciplinary engineering teams. Personal Attributes: • Ability to manage complex projects from theory to implementation with minimal supervision., • A passion for fusion energy and a desire to work in a fast-paced, collaborative startup environment., • Rigorous approach to code verification and physics validation.Company Benefits:, • Salary range $100,000 - $140,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Solve Intelligence, we’re building something people actually want - and we have the revenue and traction to prove it. 🏗️ The Role: Full-Stack Account Executive Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM powerhouse to help us scale to $1B+ ARR. What you’ll own: Build the GTM Motion: You aren't just following a playbook; you’re writing it. You'll architect our sales and growth strategy from the ground up. Lead Generation & Networking: Smash outbound targets, leverage your network, and represent Solve at global IP conferences to book demos and win over key decision-makers. Product Demos: Show the world the future of IP. You’ll teach leaders how to leverage AI to transform their workflows. Closing Deals: Full-cycle ownership from lead to close, working with our Technical IP team to ensure seamless onboarding. Product Influence: Act as the bridge between the market and our AI researchers. Your feedback will directly shape the product roadmap. 💡 About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. Growth: 20-30% MoM revenue growth. Market: 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises. Impact: Users report 50-90% efficiency gains. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Who You’ll Work With You’ll be joining a founding team with deep pedigree: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture. To thrive here: You move fast: You prioritize speed and aim to close deals in days, not months. You are a "grinder": You have a relentless work ethic and take extreme ownership of outcomes. You are an optimist: You thrive in a positive, high-stakes environment and are eager to learn. You believe in AI: You understand we are at the start of an exponential curve and want to drive mass adoption. 🛠️ What You Bring Must-Haves: Proven track record as a top-performing AE in a high-growth SaaS environment. Exceptionally clear written and verbal communication. A metrics-driven mindset and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: STEM Degree: (Maths, CS, Physics, Engineering, etc.). Legal/IP Background: Experience in patent prosecution or a qualified USPTO/EPO patent attorney/agent. Technical Sales: Experience selling complex products to mid-market or enterprise firms. Entrepreneurial Spark: Side hustles, early-stage experience, or a history of building things. 🎁 What’s In It For You? Compensation: Competitive base + unlimited commission upside. Equity: Meaningful ownership in a high-growth startup. Support: Full visa sponsorship and private medical insurance. Perks: Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. 🚀 Compensation Range: $100K - $200K

Job Description The Role Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You own the feedback loop between Output's models and the lab. You go deep into specific biological problems, translate what the biology requires into priorities for data and modeling, and manage through CRO partners the experimental cycle that validates model outputs and generates new data. You will own the active learning cycle between Output's models and experimental validation: designing experiments, managing CRO partners for synthesis and testing, interpreting results, and feeding them back to improve the models You will dive into specific biological problem areas, developing the expertise needed to translate nuanced biological requirements into priorities for data construction, modeling, and evaluation You will manage CRO relationships for peptide and molecular synthesis, biological assays, and experimental testing, designing each campaign to generate maximally informative data You will collaborate with the engineering team to design and build biology-specific agent skills and workflows, encoding your biological expertise into tools that automate experimental decision-making You will work closely with the model and data teams, identifying biological phenomena the models should be sensitive to and ensuring that experimental findings shape what and how the models learn You will stay current with biological literature and experimental methods, continuously identifying new biological problems and translating them into opportunities for model development About You You have a PhD in computational biology, biophysics, structural biology, molecular biology, or a related biological field with 3+ years of post-doctoral or industry research experience You have deep understanding of protein biology, protein-ligand interactions, and how sequence and structure relate to biological function You have experience designing biological experiments and working with CROs for synthesis and experimental validation You have experience working with protein language models or machine learning applied to biological sequences and structures You have strong programming skills in Python, with experience building computational pipelines and analysis tools You can move between the language of biology and the language of machine learning: you understand what models need from data and what experimental results mean for model development You are comfortable going deep into unfamiliar biological problem areas and rapidly developing the expertise needed to guide modeling and experimental decisions Bonus Points You have structural biology expertise, including protein structure analysis and structure-function relationships You have experience with active learning or iterative experimental design in a computational biology or drug discovery setting You have hands-on wet lab experience You have experience across multiple therapeutic modalities, including peptides You have experience building tools or writing code that automates biological analysis workflows Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you You own your day-to-day management. What we care about is that we all hit our milestones Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage Compensation Range: $120K - $250K

Job Description Neion Bio is harnessing nature’s best molecular factory, the chicken egg, to make medicine affordable, accessible, and resilient. Using cutting edge genetic engineering and stem cell technology, we create “living bioreactors”, which act as fully autonomous 3D biomolecular printers, operating on existing industrial-scale infrastructure. Our platform can rapidly and scalably produce almost any protein, provide national resilience to drug shortages and de-risk complex supply chains, and ultimately take advantage of novel biological environments to solve unmet medical needs. We are on a mission to reimagine the way in which complex biological molecules are produced to transform human health. At Neion Bio you will play a pivotal role in an early-stage, fast-growing company, working alongside leading scientists and entrepreneurs. You will have the opportunity to participate in the enormous potential upside while having a huge impact on the world. We are looking for a talented scientist with knowledge and passion for ambitious synthetic biology projects and advanced genome engineering for biomanufacturing in living vertebrates. We will be building tools and methodologies for in-vivo vertebrate genome engineering, and will develop workflows to manipulate large DNA fragments and genomes. You will work with a talented group of engineers and biologists committed to developing disruptive, novel protein production technologies. We are specifically looking for a scientist experienced with in vivo delivery and integration of multi-Kb transgenes, and experienced with large serine recombinases. Key Responsibilities: • Platform development:, • Innovate and iterate on Neion Bio’s transgenic animal platform, • Develop and improve methods for DNA assembly, integration, editing, screening, • Develop and validate novel vertebrate genetic engineering approaches, • Assist in building and optimizing molecular and cellular tools for DNA/RNA delivery and perform high-throughput screens of these tools, including LNPs, VLPs, AAVs, lenti- and adenoviral vectors, electroporation and/or chemical transfection in cell culture, organ explants, live embryos and animals, • Characterize and quantify genome editing events using various molecular assays, • Scientific housekeeping:, • Analyze data, generate figures, report results., • Present findings at R&D meetings, • Maintain a thorough and detailed electronic lab notebook, • Maintain a clean and organized laboratory environment Requirements • PhD/MS in synthetic biology, bioengineering, molecular biology, genetics or related field is required, or 3+ years hands-on expertise in genomic manipulation and cell biology, • Understanding and extensive hands-on experience with current precision editing techniques, covering the design, optimization and verification of edits made with CRISPR-Cas9/HDR and Prime Editing, • Hands-on experience with recombinases and integrases, or other large construct integration methods, • Experience with in-vivo delivery of large payloads for genomic integration, • Experience with avian or mammalian cell culture, DNA/RNA transfection, bacterial culture, recombinant DNA cloning techniques, primer design and PCR, qPCR, gel electrophoresis, nucleic acid extraction and purification, • Self-motivated, proactive, works well under pressure and deadlines, detail-oriented, • Enthusiasm for learning new skills and taking on new responsibilities, • Strong written and oral communication skills, as well as creative problem-solving skills, • Strong emotional intelligence and passion for building relationships across all levels of an organization., • Enjoys the fast-paced startup environment and teamwork Preferred Qualifications: • High throughput screening experience or automation methods, • Experience with viral vector design, optimization and use, • Experience with -omics based analysis of cells culture, • Experience with development of gene therapy tools, • Experience with flow cytometry, immunostaining, and fluorescent microscopy, • Experience with dPCR and/or NGS library preparation Benefits Compensation: base salary is expected to be $110-150K depending on experience, with additional bonus compensation, equity compensation, and benefits including health insurance, dental insurance, vision insurance, and 401(k).

Job Description Neion Bio is harnessing nature’s best molecular factory, the chicken egg, to make medicine affordable, accessible, and resilient. Using cutting edge genetic engineering and stem cell technology, we create “living bioreactors”, which act as fully autonomous 3D biomolecular printers, operating on existing industrial-scale infrastructure. Our platform can rapidly and scalably produce almost any protein, provide national resilience to drug shortages and de-risk complex supply chains, and ultimately take advantage of novel biological environments to solve unmet medical needs. We are on a mission to reimagine the way in which complex biological molecules are produced to transform human health. At Neion Bio you will play a pivotal role in an early-stage, fast-growing company, working alongside leading scientists and entrepreneurs. You will have the opportunity to participate in the enormous potential upside while having a huge impact on the world. We are looking for a talented molecular biologist on the RA, SRA or scientist level experienced with the engineering, production and purification of viral vectors, including lentivirus, adenovirus and AAV. Key Responsibilities: • Perform cloning of large viral genomes, design and run PCR, qPCR, RT-PCR assays to quantify viral transgene and transcription, • Perform transfections on primary cells, immortalized cells, and animal tissues, • Design, manufacture, purify, characterize, validate and test a range of viral vectors, at small and large scale, • Assess efficiency of workflows through cellular assays and NGS sequencing approaches, • Extract DNA, RNA, protein from animal tissue, • Conduct experiments and work on research problems, • Maintain excellent electronic laboratory records, • Work on project milestones, • Attend lab meetings, prepare reports and presentations on the progress of projects Requirements • BA/MS/PhD in biological sciences, bioengineering, molecular biology, genetics, or any science related field, or equivalent experience, • Experience with cloning, transfecting, producing, purifying, characterizing, validating and testing of a range of viral vectors including adenovirus, lentivirus, AAV, • Experience with ultracentrifugation for viral purification, • Experience with resin and column based viral purification methods, • Strong aseptic techniques and GLP procedures, • Experience in genome engineering, cloning, DNA amplification, PCR, NGS, transfections, and other molecular biology skills, • Exceptional organizational skills with the ability to effectively manage time and priorities, • Strong written and oral communication skills, as well as creative problem-solving skills, • Curious, eager, and hardworking Preferred qualifications: • Experience with viral capsid engineering by rational design or directed evolution, • Extensive experience with and knowledge of adenoviral vectors, • Experience with viral capsid library engineering Benefits Compensation: base salary is expected to be $90-130K depending on experience, with additional bonus compensation, equity compensation, and benefits including health insurance, dental insurance, vision insurance, and 401(k).

Job DescriptionBlue Matter is a rapidly growing management consultancy focused primarily in the biopharmaceutical industry. We partner with our clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations. Our project types include new product planning, launch strategy, portfolio / disease area strategy, and organizational strategy / change management. The majority of our work is in specialty therapeutics, with oncology and rare diseases a specific area of expertise. We have a unique entrepreneurial culture and invest in building Blue Matter as the best place to work for our consultants. We have offices in NY, San Francisco, Boston, London, Zurich and Mumbai. We apply scientific rigor in order to help our clients improve patient outcomes. This entrepreneurial team works regionally and globally throughout the enterprise to diagnose critical business issues and deliver evidence-based solutions. Medical Affairs Medical Affairs is evolving, and Blue Matter stands at the forefront of this transformation. Driven by strategic thinking, innovative technology, and deep subject matter expertise, the team remains passionate about improving healthcare performance. The culture is built on excellence, collaboration and an entrepreneurial spirit. Our work can be complex and difficult so we require people who can innovate with their practice as well as their solutions. If you have the right levels of intellectual curiosity and a passion to discover the real impact of medicines in the real world, then you’ll fit right in. As an Associate Principal in the Medical Affairs Team, you will join a dynamic, well-established team responsible for strengthening the Blue Matter business in New York. Primary Responsibilities You will join a high profile, talented and fast paced team where you will work on the design, development and delivery of strategic Medical Affairs projects. You’ll gain exposure to client facing projects and innovation initiatives to develop new Medical Affairs product offerings. • Planning, organizing and managing resources to bring about the successful completion of specific project goals and objectives, • Leading teams to execute strategic thinking, high quality research and analysis, • Designing, structuring and delivering client reports and presentations, • Developing client relationships through face-to-face discussions, workshops, telephone and email contact, • Providing expert guidance on key Medical Affairs domains such as planning, stakeholder engagement, insights gathering and communications, • Driving Medical Affairs strategies that align with broader commercialization goals, ensuring that scientific value propositions are robust, market-relevant, and optimized for the entire product lifecycle, • Integrating Artificial Intelligence (AI) and Machine Learning (ML) tools to execute projects with greater efficiency, • Advising on Real-World Evidence (RWE) and the Real-World Data (RWD) tactics and landscape to progress study concepts, • Leading the development of proposals for new projects / commercial opportunities in partnership with Principals and/or Partners, • Taking an active role in business development, building client relationships and identifying new business opportunities with clients, • Leading quality assurance efforts for all projects within scope – in particular for client analytical work, • Administrating control of the fees and expenses during projects (travel, meetings, organizing invoicing with finance, etc., • Developing broader and deeper knowledge of consulting methodologies and the pharmaceutical market through on the job exposure and formal training, • Coaching project team members and supporting them to fulfil their personal objectives, • Acting as a formal coach / mentor for up to 3 junior team members on an ongoing basis (i.e. not just in projects)An Associate Principal will usually be staffed on 2-3 projects in parallel ensuring a broad exposure to the wide range of activities that the practice undertakes in a rapid timeframe, as well as the opportunity to demonstrate a broad skill set. Desired Experience and Skills • Extensive experience in healthcare / life sciences or the Pharmaceutical industry, • Experience in healthcare / life sciences with focus on strategic business cases, product development, technical architecture. Strong capability in managing projects and juggling priorities so that deadlines are met while retaining consistently high quality outcomes, • Experience of working in sizable/multi-disciplined teams and supervising / guiding junior team members, • Experience of developing credible relationships with senior level managers and executives in the pharmaceutical/healthcare industry, • Knowledge of key issues and current developments in the pharmaceutical and healthcare industries, • Demonstrable analytical, interpretative and problem-solving skills, • Excellent presentation, communication and client influencing skills, • Well-developed written and verbal communication skills including presentations, chairing meetings, workshop facilitation, business and report writing, • Knowledge of consulting methodologies, tools and techniques would be desirablePreferred Qualifications, • Advanced degree(s) (PhD, MD, MBA, or MS), • Ideal candidates will have a background in life sciences (e.g., Biochemistry, Pharmacy, Biotechnology, Epidemiology) or a highly numerate discipline such as Economics, Engineering, Public Health, or Data Science, • 6+ years of life sciences consulting experience Compensation: Base salary range: $185,000 - $225,000 per year. Generous incentive compensation structure. Benefits Package: • 401k - generous employer match with immediate vesting and financial planning resources, • Comprehensive medical, dental and vision coverage options effective day 1 of employment, • Flexible spending account (FSA) or Health Savings Account (HSA), • Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options, • Paid parental leave for all new parents, • Health & Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually), • Employee Assistance Program, • Generous paid time off including vacation, sick days, floating and company holidays Blue Matter is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or handicap, or veteran status. Powered by JazzHR bojgJqaeFH

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. About the Role Plume's Core Engineering team is looking for a Senior Wireless Firmware Engineer with deep expertise in WiFi driver development to lead innovation for large-scale WiFi and broadband solutions. You will work across embedded firmware, wireless drivers, and system-level software to enable high-performance, scalable, and reliable WiFi experiences. This is a high-impact senior role where you will lead complex initiatives in wireless networking, performance optimization, and large-scale deployments, while mentoring other engineers and influencing system architecture. What You'll Do • Lead design and development of WiFi firmware and driver architecture for next-generation wireless platforms, • Own critical components of the WiFi stack and drive technical direction across projects, • Mentor junior engineers and provide technical guidance across firmware and driver domains, • Design, develop, and optimize WiFi firmware and low-level wireless drivers, • Work on IEEE 802.11 stack (WiFi 4/5/6/6E/7), including MAC/PHY layers, • Debug and optimize WiFi drivers with chipset/SoC vendors, • Analyze network behavior and improve performance (throughput, latency, reliability), • Participate in full software lifecycle: design, development, testing, deployment, and support, • Troubleshoot complex system-level issues across firmware, drivers, and networking stacks Required Qualifications • BS/MS/PhD in Computer Science, Electrical Engineering, or related field, • 8+ years of experience in embedded systems, firmware, or driver development, • Proven experience leading complex technical projects end-to-end, • Strong expertise in C/C++, • Deep experience with WiFi driver development at chipset/SoC level, • Strong understanding of Linux kernel and networking stack, • Deep knowledge of IEEE 802.11 MAC and PHY layers, • Experience with OpenWRT, RDK, or OpenSync, • Strong debugging and performance optimization skills Preferred Qualifications • Experience with Broadcom, Qualcomm, or MediaTek WiFi chipsets, • Experience with mesh networking and large-scale deployments, • Knowledge of MU-MIMO, OFDMA, beamforming, WiFi 7, • Python or scripting for automation, • Familiarity with cloud-managed networking systems What You Bring • Strong ownership and leadership mindset, • Ability to solve complex, ambiguous problems, • Experience mentoring engineers, • Excellent communication and collaboration skills, • Passion for building high-performance wireless systems This role is fully remote but requires someone to reside in EST. Unfortunately, we are not offering sponsorship at this time. The total compensation package would include an anticipated compensation range of $140,000.00 - $150,000.00, plus bonus, equity, and benefits. Benefits include: a 401 (k) plan and a company match, basic life insurance, plus unparalleled health, dental, vision, and other benefits and perks. An employee's base salary and its position within the range may depend on several factors, including job-related knowledge, education, skills, experience, and other business-related considerations. Published ranges are provided in good faith at the time of posting. #LI-Remote, #RemoteJobs, #WorkFromHome, #RemoteWork, #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job DescriptionOur Mission: Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™ Our Values Take the Lead We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Role: Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing. As a Product Analyst on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience. Our team provides Tinder with quantification and understanding of intent, behavior, value, and the potentially complicated ways in which they all interrelate. You will develop frameworks and models for how data should be leveraged in decision making and be a key stakeholder in delivering quantitative tools. An effective Product Analyst at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. In this role, your insights will influence the performance of our business, the experience of our members, and the direction of analytics at Tinder. Where you’ll work: This is a hybrid role and requires in-office collaboration three times per week. This is a hybrid role and requires in-office collaboration three times per week in NYC. You’ll need: Bachelor’s degree or equivalent in a quantitative field, Master’s degree or PhD with a social science background preferred. 1-2 years of professional working experience in Data Science and/or analytics preferred. Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required. Familiarity with scripting languages (e.g., Python or R) and applied statistical methods; experience with A/B testing is a plus. Exposure to causal inference concepts or methods is a plus. Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data. Eagerness to identify and explore new product opportunities, potential improvements to our data infrastructure, and unanswered questions about member behavior. Comfort using descriptive and inferential statistics. Curiosity of how things work, from both a business and technical perspective. A collaborative growth mindset with a dedication to community-based projects and partnerships. As a full-time employee, you’ll enjoy: Unlimited PTO (with no waiting period), 10 Sick Days Time off to volunteer and charitable donations matching Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free premium subscriptions for several Match Group apps – including Tinder Platinum! The salary range for this position is $93,500 - $110,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in NYC. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder .

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.Job Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy data engineering and software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities • Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization, including data center operations, power metrics, node provisioning, and finance., • Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers., • Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions., • Cross-Functional Synthesis: Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health., • System Robustness: Implement rigorous testing, monitoring, and quality-control frameworks to ensure the accuracy of metrics like power utilization, storage consumption, and quality fall-out.Qualifications & Skills Required: • Education: Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field., • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)., • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)., • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures., • Attention to Detail: A fanatical focus on data accuracy and the ability to audit complex transformations for logical consistency. Desired: • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints., • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics., • Decision Science: Experience applying optimization techniques or Operations Research to supply-demand imbalances. The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This is an exempt, full-time, hybrid position located in our NYC headquarters office or other relevant location. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. You Will: Procurement and development of multimodal dataacquisition protocols. Development, application, and refinement of analytic approaches for multimodal data. Prepare manuscripts for publication in peer-reviewed scientific journals. Prepare grant applications directly as principal and co-investigator. Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows). Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure. Formation and maintenance of collaborative relationships with scientific peers. Perform additional job-related responsibilities as assigned You Have: PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable). 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting. 5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required. 5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments. 2+ years of supervising experience by mentoring predoctoral trainees Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions. Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers. Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development. An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications. #LI-hybrid. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job DescriptionAbout Monstro Monstro is the operating system for governed financial intelligence. We build the infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale in highly regulated financial domains. We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals. We're building mission-critical systems in a regulated domain, and we care deeply about doing it right. If you're motivated by meaningful problems, high standards, and improving financial outcomes for people who have never had access to them before, you'll feel at home here. About the Role The Wealth Strategy Architect, Financial Intelligence is a foundational hire. This person is responsible for ensuring that Monstro's financial logic is institution-grade from the outset — correct, complete, and coherent across the full scope of comprehensive wealth management. Financial planning advice built on imprecise logic compounds its errors over time. Tax assumptions that ignore estate implications, investment recommendations blind to income-phase distinctions, estate structures that conflict with insurance positioning — these are not edge cases. They are the daily reality of comprehensive wealth management, and they are precisely what AI systems get wrong first. This role exists to prevent that. You will serve as the internal authority on how Monstro's platform reasons about wealth — not as a reviewer after the fact, but as the architect of the foundational logic itself. You will work directly with Monstro's Founder, who brings deep wealth management and family office experience. This role expands that expertise into durable, scalable guidance that safely governs product behavior over time. Domain Scope You will be the internal authority across five pillars of comprehensive wealth strategy. Cash flow sits at the foundation — it governs what is possible across every other domain. Deep expertise in at least one pillar is required; the ability to reason across all five collectively is essential. • Cash flow — Income, expenses, surplus allocation, debt management, liquidity planning — the foundation that determines capacity across every other domain, • Tax planning — Income tax strategy, Roth optimization, tax-efficient withdrawal sequencing, entity structuring, UHNW tax planning, • Estate planning and legal structures — Trust design, estate tax planning, GRATs, dynasty trusts, business succession, generation-skipping strategies, asset protection, • Financial planning — Cash flow planning, risk management, insurance integration, retirement income architecture, holistic plan construction, • Investments — Asset allocation, portfolio construction, asset location, withdrawal strategy, annuity design, retirement income productsWhat You'll Do Define the financial framework foundation Establish the wealth strategy and provide expertise to the product and engineering team regarding frameworks, principles, and decision guidance that govern how Monstro's platform reasons about complex financial scenarios. Your expertise defines the foundation — what the platform understands, how it weighs tradeoffs, and where it draws boundaries. Articulate wealth strategy in a form teams can act on Translate your financial expertise into clear principles and structured guidance that product teams can work with you to develop into actionable requirements. The goal is articulation — making expert judgment legible and usable for the people responsible for building from it. Model cross-domain dependencies Document and clarify the interactions that most AI systems get wrong: how Roth conversion decisions affect estate tax exposure, how trust structures interact with income tax elections, how insurance product positioning changes with retirement income phase. Surface second- and third-order effects before they compound into downstream errors. Distinguish rules from judgment Identify where structured, rules-based guidance is appropriate and where expert review or human judgment is required. Serve as subject matter expert reviewer Act as the senior subject matter expert reviewer for early advice frameworks, edge cases, and high-stakes planning scenarios. Establish standards for accuracy, completeness, and consistency that withstand institutional scrutiny. Act as expert, challenger, and gatekeeper The most common failure mode in AI-assisted financial guidance is not hallucination — it is plausible-sounding advice that ignores the dependency structure of wealth strategy. You serve as the expert, challenger, and gatekeeper: ensuring that oversimplified or technically incorrect guidance never reaches the platform. What Success Looks Like • Monstro's core financial logic reflects institution-grade wealth strategy rigor that expert reviewers would not find fault with, • Cross-domain interactions — tax ↔ estate ↔ investment ↔ planning ↔ cash flow — are correctly modeled and defensible at every dependency point, • Product and engineering teams have clear, actionable guidance — not ambiguity that forces them to make domain decisions they are not equipped to make, • The financial logic established in this role is precise and complete enough that it does not require structural correction as Monstro grows in scope and complexity, • Every simplification is intentional and documented — tradeoffs are explicit, not artifacts of incomplete modelingWhat We're Looking For Required credentials (one or more): • JD / Attorney, ideally with tax or estate specialization, • CPA or CPA/PFS, • CFP® combined with an advanced designation (JD, LL.M., AEP®, CPA), • LL.M. in Taxation, • AEP® (Accredited Estate Planner), particularly at the Distinguished level Required experience: • Senior-level experience equivalent to a Wealth Strategist, Advanced Planning Strategist, or senior practitioner at a top financial institution, law firm, accounting firm, or academic institution, • Deep tax expertise with strong understanding of downstream implications across estate, investment, and planning domains, • Demonstrated experience in estate planning and legal structures — trust design, estate tax strategy, business succession, • Broad financial planning background beyond a single specialty — able to reason across the integrated wealth management system, • Strong academic and technical foundation; comfort with precision and documented reasoningThe Strongest Candidates Will Reflect One of These Profiles The practitioner-academic: e.g., CFP® with a PhD, or JD with an academic appointment. Has translated domain expertise into frameworks, curricula, or published research — the exact cognitive habit this role requires for articulating wealth strategy logic clearly and completely. The Advanced Planning Strategist: e.g., CPA/JD/AEP® from a major institution, law firm, or accounting firm. Has reviewed complex, multi-domain wealth plans under institutional accountability. Accustomed to the standard of rigor Monstro's platform must meet. The cross-credentialed specialist: e.g., CPA + JD + CFP®, or JD + LL.M. + AEP®. Holds credentials spanning tax, legal, and planning domains simultaneously. Multiple credentials across domains are evidence of the integrated thinking this role requires — not resume decoration The financial framework builder: e.g., prior experience building guidance frameworks, institutional playbooks, or structured advisory systems. Has experience translating expert financial judgment into documented frameworks, structured guidance, or institutional playbooks — whether at a major firm, fintech, or in an advisory capacity. Understands how expertise becomes process. Additional Signals We Value • Published research, authored curricula, or editorial board participation in financial planning or estate planning journals (Journal of Financial Planning, Financial Planning Review, ACTEC Law Journal, NAEPC Journal), • Experience with UHNW or family office complexity — environments where cross-domain planning errors have material consequence, • Prior exposure to AI-enabled financial tools, rules-based platforms, or fintech product development, • Comfort operating as a senior individual contributor without a team of analysts, • Familiarity with the academic literature in comprehensive financial planning, retirement income, estate planning, and behavioral financeWhy Monstro?, • Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world., • Experienced Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits., • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45., • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage. Base Compensation Range (New York City): $232,000 - $291,000 *The posted range reflects the base salary for this role across the market ranges for each location. Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws. A Note on Interviewing: We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use notetakers (whether added to video calls or in the background).