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Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems. What you'll do • Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability), • Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization, • Design and build end-to-end data pipelines to support large-scale production usage, • Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions, • Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies, • Deploy and monitor models in production, ensuring reliability, scalability, and data quality, • Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutionsWhat we're looking for, • PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications, • Proficient programming skills in Python and SQL, • Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models, • Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization, • Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling), • Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow), • Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionWhat is Prizeout Prizeout is a fast-growing fintech transforming how people interact with their money by turning everyday transactions into rewarding, value-driven moments. We sit at the intersection of payments, rewards, and loyalty, empowering financial institutions to build deeper connections with their users. Our platform analyzes rich transactional data to deliver personalized insights and maximize value with every purchase. The company was founded in 2019 and is headquartered in NYC. Why Prizeout At Prizeout, we’re redefining how people engage with their money through smarter, data-driven rewards. We’re looking for curious, analytical builders who love turning complex, messy data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership. About This Role As a Data Engineer at Prizeout, you’ll own the data that powers CashBack+ and our credit union rewards ecosystem. Managing the end-to-end lifecycle of financial institution data, you’ll ensure every transaction is accurate, every action is recognized, and every reward is delivered on time. Working with core banking systems, card networks, and digital event data, you’ll turn complex, messy inputs into clean, reliable signals that drive real-time insights and loyalty programs. What You'll Do • Own and manage the full lifecycle of credit union core and card data pipelines, • Build and maintain scalable pipelines that clean, standardize, enrich, and classify transactional and behavioral data, • Translate raw transactions into meaningful insights using classification models (direct deposits, ACH events, MCC logic, etc.), • Develop and maintain automated validation and monitoring systems, • Create and manage high-quality dashboards and reporting tools for credit unions and internal teams, • Collaborate with Product, Data Science, Operations, and Integrations teams to refine data models and onboarding processes, • Continuously improve data models, infrastructure, and internal tools, • Stay current on fintech data architecture trends and emerging technologies to guide ongoing platform evolutionWhat We're Looking For, • 3+ years experience in software/data engineering, ideally in microservice or event-driven architecture, • Advanced SQL and database design skills, • Experience with cloud environments and distributed systems, • Experience with financial/transaction data pipelines or interest in learning deeply, • Familiarity with Snowflake or similar data warehouse tools (preferred), • Bias for action and comfort working with ambiguity, • Ability to thrive in a fast-moving, collaborative, mission-driven team, • Clear communicator who brings clarity, not complexity, • Scrappy, resilient, and energized by building things that work in the real world at scale

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionAbout the RoleWe are seeking a Data Product Manager to lead and manage a portfolio of 3–5 enterprise data products. This role is ideal for someone with deep experience in data technologies, data governance, and analytics, combined with a strong understanding of core banking processes. You will serve as the strategic owner of data products, ensuring they meet business needs, drive insights, and support compliance and operational excellence.As a senior leader, you will work closely with business stakeholders, data engineers, data architects, and analytics teams to deliver high-quality, governed, and scalable data products. You will also help define the vision, roadmap, and lifecycle management of these products in alignment with the bank’s enterprise data strategy.Key ResponsibilitiesProduct Ownership & Strategy· Own end-to-end lifecycle of assigned data products, including vision, strategy, roadmap, and delivery.· Collaborate with business units, analytics teams, and technology partners to prioritize features and enhancements.· Define and track key product success metrics and adoption KPIs.· Advocate for data products across the organization, ensuring alignment with enterprise data governance and cloud/data strategy initiatives.Stakeholder Engagement· Act as the primary liaison between business stakeholders and data engineering/analytics teams.· Gather and translate business requirements into actionable data product specifications.· Facilitate cross-functional collaboration to resolve trade-offs and dependencies.Data Governance & Quality· Ensure data products comply with regulatory, security, and privacy requirements.· Define and enforce data quality standards, lineage, and observability metrics.· Collaborate with Data Governance, Risk, and IT Security teams to maintain compliance and audit readiness.Technical Leadership· Understand and leverage modern data technologies (e.g., relational databases, data warehouses, data lakes, ETL pipelines, cloud platforms, APIs, BI tools).· Collaborate with data engineering teams on architecture, modeling, and platform decisions.· Evaluate emerging technologies and recommend innovations to improve data products and processes.Execution & Delivery· Drive delivery of data products using agile methodologies.· Prioritize backlog, manage sprints, and ensure timely delivery of features.· Monitor and measure product performance, adoption, and business impact.Thought Leadership· Contribute to the overall data product management framework and best practices within the bank.· Promote a culture of data-driven decision-making and product-centric thinking.Required Qualifications· 8+ years of experience in data product management, data strategy, or analytics roles; experience in banking/financial services preferred.· Strong understanding of core banking products (e.g., deposits, loans, payments) and associated operational data flows.· Solid knowledge of data architecture, warehousing, BI, analytics, and cloud platforms.· Proven ability to manage multiple data products simultaneously.· Excellent communication, stakeholder management, and leadership skills.· Experience with Agile/Scrum methodologies and data governance frameworks.· Bachelor’s degree in Computer Science, Information Systems, Finance, or related field; advanced degree preferred.Preferred Qualifications· Hands-on experience with HiveQL, SQL, Tableau· Understanding of regulatory reporting requirements (e.g., CCAR, FR Y-14, Basel).· Exposure to semantic layers, or enterprise data product management frameworks.

Job Description Hi, we're Oscar. We're hiring a Senior Analyst, Individual and Family Plan Insurance Solutions to join our Insurance Product Development team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Analyst, Individual and Family Plan Insurance Solutions, provides foundational analytical research and product level support across Oscar's individual and family (IFP) and employer-subsidized product portfolios. This role focuses on data analysis, market and competitive research, and performance monitoring of our markets to inform product strategy, design decisions, and execution readiness across on-exchange and employer-subsidized (ICHRA) solutions. This role operates horizontally across product lines and segments, serving as an insight engine for product teams and enabling data-driven decision making in a regulated, multi-market environment. You will report into the Vice President, Insurance Product Innovation and Development Work Location: This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Illinois, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Texas, or Virginia. Note, this list of states is subject to change. #LI-Remote Pay Transparency: The base pay for this role is: $83,628 - $109,761 per year in New Jersey, New York, and California. The base pay for all other locations is: $75,265 - $98,785 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses. Responsibilities: Market, Policy, and Competitive Research • Play a key role in building, maintaining and identifying improvements to models that forecast membership growth and retention rates in support of strategic decisionsConduct market and competitive research across individual and employer-subsidized health insurance offerings, • Analyze competitor plan designs, benefit structures, pricing approaches, and positioning, • Track regulatory and policy developments and support impact assessments for product teams, • Support population and employer-segment research initiatives Product Performance Analytics • Analyze product performance across growth, retention, utilization, and margin metrics, • Build and maintain recurring dashboards and performance reports, • Support deep-dive analyses for product reviews, remediation efforts, and future-year planning, • Identify trends, anomalies, and emerging risks through data analysis Product & Filing Support • Support product teams during filing cycles through data validation, QA, and analytical support, • Assist in preparation of analytical material required for regulatory submissions and internal reviews, • Ensure data accuracy and consistency across product artifacts Insight Translation & Communication • Translate complex analyses into clear, structured insights for product and cross-functional partners, • Prepare summaries, exhibits, and briefing materials for product leadership, • Support documentation of learnings to inform future product cycles, • Compliance with all applicable laws and regulationsOther duties as assigned Requirements: • 1+ years developing and managing commercial insurance products., • BS/BA degree in a quantitative or healthcare field such as Business, Healthcare, Economics, Mathematics, Statistics, Actuarial Science and Finance or equivalent years of experience., • 1+ years in a fast-paced, cross-functional environment such as consulting, finance, economics, or business development, • Proven analytical experience with the analytical skills to translate hard data into insight and action, • Prior experience in Health Insurance (Individual and/or Small Employer) and/or Healthcare industry At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Capgemini is at the forefront of innovation, integrating AI technologies to enhance customer experience and streamline operations. We are seeking an experienced and innovative Verint AI Software Engineer to join our team supporting a premier U.S. Property & Casualty insurance carrier. This role is ideal for a technologist with deep expertise in Verint AI and a strong understanding of enterprise voice ecosystems, including CISCO, Google Cloud, and NICE. You will be instrumental in designing, developing, and optimizing AI-driven solutions that enhance customer experience, operational efficiency, and digital engagement. In this role, you will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that leverage Verint AI technology to address complex business challenges. Our Client is one of the United States’ largest insurers, offering a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world. This role offers a unique opportunity to work on innovative AI initiatives with a leading U.S. insurance carrier, within a collaborative environment that fosters innovation, creativity, and continuous learning. You'll gain exposure to enterprise-scale projects and advanced technologies, while enjoying a comprehensive benefits package that includes health coverage, retirement plans, and professional development support. Key Responsibilities: • Design, develop, test, and implement AI-based applications using Verint technology, including IVA and Speech Analytics., • Collaborate with business stakeholders to understand requirements and translate them into scalable technical specifications., • Analyze structured and unstructured data to develop AI algorithms that support intelligent decision-making and customer interaction., • Integrate Verint AI solutions with enterprise platforms such as CISCO telephony, Google Cloud services, and NICE workforce management systems., • Debug and improve existing Verint implementations for performance, scalability, and user experience., • Stay current with trends in AI, voice engineering, and social engineering to recommend innovative approaches and technologies., • Provide technical guidance and mentorship to junior developers, fostering a collaborative and growth-oriented environment., • Document technical specifications, architecture designs, and system integration processes. Benefits: • Opportunity to work on cutting-edge AI initiatives., • Collaborative work environment that promotes innovation and creativity., • Proven experience in software development with a strong focus on AI technologies and methodologies., • Direct experience with Verint solutions and platforms., • Demonstrated experience with Verint AI., • Deep familiarity with voice engineering technology ecosystems that include Verint, Google, CISCO, NICE and other similar technologies., • Strong programming skills in languages such as Python, Java, or C#., • Solid understanding of social engineering techniques and digital behavior analysis., • Ability to work effectively in a collaborative team environment., • Excellent problem-solving and analytical skills., • Effective communication skills, both verbal and written. Competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • Performance Bonus Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22 billion in revenues in 2024.

Job DescriptionWho we are: The Bliss Group is a full-service marketing communications firm powered by analytics and audience insights. Founded in 1975, we blend data science with storytelling to connect with people through precision, empathy and purpose. We’re deeply committed to finding, training and empowering professionals who are smart and kind in equal measure. Position Overview: The Bliss Group is looking for an Account Supervisor or Account Director to join and lead a mix of accounts in our Financial Services practice and our Professional Services practice, responsible for the B2B PR and content marketing activities across a variety of accounts. This role offers the opportunity to collaborate with practice leads and other senior leaders to serve client programs spanning traditional media relations and thought leadership, content development and strategy, digital and social media. This award-winning team is at the forefront of audience insights and marketing communications innovation, harnessing AI & analytics-driven intelligence to inform strategic programs across traditional and emerging channels. Responsibilities include but are not limited to: • Client Leadership & Strategy: Serve as day-to-day account driver for select clients, managing both strategy and execution; provide strategic counsel and anticipate client needs, thinking several steps ahead; assist in developing long-term client plans and program recommendations; develop media relations strategies, goals, media targets, and pitch angles and lead a team to secure strong results., • Content/PR Development & Program Execution: Create and edit high-quality content including pitches, bylined articles, blog posts, infographics, white papers, and marketing collateral; manage media pitching and serve as a primary media contact; oversee reporting mechanisms and KPI tracking for clients and account teams, • Team Development & Leadership: Coach and mentor junior staff members, providing constructive feedback; delegate effectively while maintaining accountability for final deliverables; participate in or lead client presentations alongside senior team members, owning responsibility for final outcomes; support organic growth and new business development initiatives, • Account Management Excellence: Maintain deep industry knowledge that directly impacts client success; manage account profitability and team utilization effectively; build trusted relationships with client decision-makers; route relevant insights to account teams and clients Qualifications:, • 4-6+ years of relevant public relations and/or integrated marketing experience, with preference for B2B financial services and/or professional services, • Proven track record managing approximately $500-$1M in revenue, • Strong business acumen with understanding of account profitability and budget management, • Experience building and managing strong media relationships within target industries, • Exceptional writing, communication, and presentation skills, • Experience managing accounts and developing strong client relationships, • Understanding of integrated PESO marketing strategies, • Able to grasp and explain complex concepts to a variety of audiences, • Flexible approach: Aable to change priorities against changing client and team needs, • Thrives in a highly collaborative, fast-paced, and client-service driven environment, • Works effectively within a team, demonstrating coordination, collaboration, communication and problem-solving, • Possesses intellectual curiosity, a passion for learning Bliss Benefits & Perks: (Only applicable to full time salaried employees), • Competitive Compensation Package including Bonus & Incentive Opportunities, (Base Salary Range for this Role: $85k-$135k), • Robust Benefits Program: Medical, dental, vision, FSA, HSA, disability, employer-paid life & disability insurance, commuter benefits, college savings plan (529), employee discounts, • 401k Retirement Plan with Company Match, • Generous Time Off: Flexible PTO Days + Company Holidays including office closure between Christmas and New Year's, • FlexTime, • Hybrid work schedule, • Convenient Midtown Office Location Powered by JazzHR gJTIZdTvX2

Job Description We are looking for a full-stack software engineer to build software to efficiently manage microgrids and other distributed energy resources. This is a great role for someone looking to build software that will change the future of the energy industry. This role will report to our Director of Software Engineering and be based in our New York City office (Union Square area). Key responsibilities will include: • Front-end development: build web applications with modern, interactive UIs for operators and customers, • Architect and maintain high-performance backend services and APIs (FastAPI, PostgreSQL) to support real-time microgrid operations, telemetry data pipelines, and optimization workflows at scale, • Develop and enhance financial modeling features, building reliable calculation engines and data integrations that support portfolio-level analysis and investment decision-making, • Design and validate mathematical optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for generator dispatch and fleet-level maintenance scheduling, including heuristic approaches, OPH projection, and constraint-based planning, • Build and extend simulation infrastructure (rolling dispatch, Monte Carlo scenario analysis) to validate optimization outputs, refine algorithmic approaches, and auto-tune model parameters against operational requirements, • IoT and messaging pipelines: design and maintain scalable data ingestion, transformation, and event-driven pipelines (MQTT, AWS IoT, SQS, Sparkplug B), • System design: collaborate with product management and design to deliver robust software products that excite users and achieve business goals, • Reliability & observability: implement logging, monitoring, and alerting for high availability microgrid software deployments, • Collaboration: work with stakeholders across engineering, operations, and product to turn workflows into production-ready automation, • Continuous improvement: assess and adopt new technologies to enhance performance, scalability, and maintainabilityThe Ideal Candidate, • Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred, • 5+ years of experience with Python and JavaScript/TypeScript development, • Energy experience and modeling, optimization, • Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems, • Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK), • FastAPI and microservices experience, • React for front-end development, • PostgreSQL and relational database design, • Experience with high-volume, time-series data processing, • Experience with message brokers and IoT protocols (MQTT, Sparkplug B, AWS IoT Core), • Experience with SCADA platforms (e.g., Ignition or equivalent) and deployment and management of edge devices, • Experience with SCADA/energy protocols such as Modbus, OpenADR, DNP3, or IEEE 61850

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute — a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . Role Summary As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the US. What You Will Do Lead Development (Strategic Outbound and Qualified Inbound):• Conduct strategic outreach and manage warm introductions to potential enterprise customers.• Convert inbound leads where there are opportunities for upselling or more bespoke agreements. Value Proposition Validation for Customers:• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts. Deal Management & Closing:• Develop and execute strategic sales plans to convert leads into valued customers.• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams. Executive Engagement:• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives. Technical Aptitude:• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.• Collaborate with our technical team to address any customer inquiries or concerns. Training and Enablement:• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities. Who you are • 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. • Deep understanding of the US market dynamics and enterprise landscape.• Experience of consultative selling of highly complex, technical products.• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.• Significant work experience within the AI ecosystem or related data/infrastructure field.• Experience working at a successful, fast-growing startup, ideally in deep-tech.• Strong technical skills to navigate quickly evolving products and steer technical discussions.• Excellent written and verbal communication in English, and a bonus for French.• Outstanding negotiation and communication skills to build relationships and close deals effectively. What we offer \uD83D\uDCB0 Competitive salary and equity.\uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family.\uD83D\uDC74\uD83C\uDFFB 401K : 6% matching\uD83C\uDFDD️ PTO : 18 days \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport\uD83C\uDFC0 Sport: $120/month reimbursement for gym membership\uD83E\uDD55 Meal stipend: $400 monthly allowance for meals \uD83C\uDF0E Visa sponsorship \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Job Description You own the science—and how it shows up in the work. You lead medical strategy across major brands and therapy areas, shaping direction, guiding teams, and building trust with clients at a senior level. You’re not just validating strategy—you’re driving it. You sit at the intersection of medical, brand, and creative, making sure everything is aligned, accurate, and built to perform. Responsibilities • Own medical strategy across major brands and therapy areas, • Lead multi-brand portfolios with confidence, consistency, and clear strategic direction, • Act as a senior client partner—trusted voice in strategic and scientific discussions, • Shape brand direction by integrating medical strategy with brand, engagement, and creative teams, • Drive the promotional narrative, ensuring scientific accuracy and commercial relevance, • Lead complex, high-visibility accounts with strong judgment and steady decision-making, • Partner closely with account and creative leadership to elevate the work early and continuously, • Guide work through MLR with clarity, speed, and authority, • Mentor and oversee Associate Directors and Strategists, building capability across levels, • Advanced degree (PharmD, MD, PhD, or equivalent scientific training preferred), • 7–12+ years of experience in medical strategy, medical communications, or pharma advertising, • Proven experience leading multi-brand or therapy area accounts, • Strong understanding of clinical data, regulatory environments, and promotional compliance, • Track record of shaping brand strategy—not just reviewing it, • Confident senior client presence with strong relationship-building skills, • Experience mentoring and developing multi-level teams, • Strong strategic judgment with the ability to simplify complex science into clear direction Pay Range- $145,000 - $160,000 Benefits Template

Job DescriptionIntro description: Legalist is a tech-enabled alternative asset manager that uses proprietary data-driven origination to invest in uncorrelated legal and government-payment assets. Founded out of Y Combinator in 2016, Legalist manages over $1.7 billion for endowments, foundations, and family offices. Portfolio Operations Specialist We are seeking a Portfolio Operations Specialist to support our Litigation Finance Portfolio Monitoring team through legal research, case analysis, and portfolio monitoring. This role sits at the intersection of law and investing, combining paralegal expertise with analytical rigor to evaluate and track investments in litigation. You will work closely with attorneys, investment professionals, and cross-functional teams to assess opportunities, monitor active matters, and produce clear, actionable insights. This is an opportunity to contribute to a fast-paced, technology-driven investment platform operating at the forefront of legal finance. Key Responsibilities • Review and analyze legal documents, case filings, and supporting materials to inform underwriting and portfolio monitoring, • Conduct legal, factual, and background research, including identifying analogous cases and relevant developments, • Support due diligence efforts by evaluating counterparties, legal claims, and associated risks, • Organize, index, and maintain case files, investment documentation, and internal records, • Track key case developments, deadlines, and portfolio performance across active matters, • Draft clear and concise summaries, memoranda, and internal reports on legal and investment findings, • Collaborate cross-functionally with legal, underwriting, operations, and technology teams, • Contribute to process improvements, workflow management, and data organization across the portfolio, • Bachelor's degree in Political Science, History, Economics, Law, Business, or a related field (or equivalent experience), • 3–5+ years of relevant experience, such as: Paralegal experience at an AmLaw 200 or comparable firmLegal research, compliance, investigations, or litigation support roles, • Proficiency with legal research tools such as LexisNexis and Westlaw, • Strong analytical, research, and writing skills with the ability to synthesize complex legal and financial information, • Experience reviewing legal documents and managing case-related workflows, • High attention to detail with strong organizational and document management skills, • Ability to communicate complex concepts clearly, both written and verbally, • Comfortable working in a fast-paced, evolving environment with shifting priorities, • Exposure to financial analysis, underwriting, or investment-related work, • Familiarity with litigation finance, credit investing, or legal risk assessment, • Experience drafting memoranda or case summaries for decision-making purposes

Job DescriptionSalary: $80,000 to $100,000 The Arc Companies We are seeking a highly motivated and detail-orientedData Analyst and IT Administrator for the Arc Companies real estate, venture and family office activities. Arc is an entrepreneur led firm where bright, creative thinkers have joined together to do venture capital, opportunistic real estate, and portfolio investing. We foster learning from each other and growing personally and professionally. Join the Team! Our new team member will use you will be responsible for interpreting data, analyzing results, and providing actionable insights to drive informed decision-making for all of our teams. In addition, you will work with our outside technology support vendors to manage our on-site and cloud based technology resources. The Role This role will primarily focus on: • Perform exploratory data analysis to uncover trends, patterns, and anomalies, • Serving as internal subject matter expert in the areas of tech, knowledge, and information systems, • Apply statistical and analytical techniques to derive insights from complex datasets, • Conduct hypothesis testing and predictive modeling to support business objectives, • Create visually appealing and interactive dashboards, reports, and presentations, • Collaborate with cross-functional teams to design and deliver actionable insights, • Communicate findings and recommendations to stakeholders using data visualization tools, • Analyze business processes and operations to identify opportunities for improvement, • Collaborate with external managed service provider to perform day to day technology support related to software, hardware and cloud based services Relevant Skills, Qualifications and Experience Desirable • Data science, library science, information systems, information technology, or similar certification or degree, • 2+ years of directly relevant experience, • Knowledge of Microsoft SharePoint would be a plus, • Strong project management skills, • Excellent computer skills, including Excel and other Microsoft Office apps Compensation Range: $80,000 to $100,000 annually, commensurate with knowledge, skills and experience. Location:New York, NY 10017 We are an equal opportunity employer Our team members reflect that we are an equal opportunity organization and always have been. The below is brought to you by our regulatory sponsors. We are, in fact, serious about it. Arc is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, creed, gender, marital status, sexual orientation, citizenship status, color, religion, national origin, age, disability, veteran status, or any other status protected under local, state, or federal laws. Arc provides reasonable accommodation to employees and applicants for employment who have disabilities. You may request a reasonable accommodation, in writing, by reaching out to our Human Resources department at: The Arc Companies, Human Resources, 655 Third Avenue, 28th Floor, New York, NY 10017.

Job DescriptionAI Cloud Solutions Director Company Overview: Forhyre is a leading technology solutions provider that specializes in developing and implementing AI-driven cloud solutions for businesses across various industries. We are committed to delivering innovative and scalable AI solutions that help our clients optimize their operations and achieve their business goals. Position Overview: We are seeking an experienced and dynamic AI Cloud Solutions Director to join our team. The AI Cloud Solutions Director will be responsible for leading our AI cloud solutions division and driving the development and implementation of cutting-edge AI solutions for our clients. The successful candidate will have a strong technical background in AI and cloud computing, as well as a proven track record of successfully delivering complex AI projects. Responsibilities: • Lead the AI cloud solutions division and oversee all aspects of the division’s operations., • Collaborate with cross-functional teams to develop and execute the strategic vision for AI cloud solutions., • Drive the development and implementation of innovative AI cloud solutions that address client needs and deliver measurable business value., • Provide technical leadership and guidance to the AI cloud solutions team, ensuring that projects are delivered on time and within budget., • Stay up-to-date with the latest advancements in AI and cloud computing technologies, and assess their potential impact on our clients’ businesses., • Build and foster strong relationships with key stakeholders, including clients, partners, and internal teams., • Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred., • Minimum of 8 years of experience in the development and implementation of AI solutions, with at least 3 years in a leadership role., • Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision., • Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud., • Proven track record of successfully delivering complex AI projects on time and within budget., • Excellent leadership and communication skills, with the ability to effectively collaborate with cross-functional teams., • Strong problem-solving and decision-making abilities., • Competitive salary package, • Comprehensive health insurance, • Flexible work schedule, • Professional development opportunities

Job Description Role & Responsibilities: • Own product vision and strategy for P&C insurance products and platforms, translating enterprise and portfolio strategy into a clear, value-driven product roadmap., • Act as the voice of the business and customer, partnering with underwriting, actuarial, compliance, and technology teams to gather insights and define well-scoped problems, desired outcomes, and measurable success criteria., • Own and continuously prioritize the product backlog, authoring clear, testable user stories and acceptance criteria., • Define, track, and be accountable for product KPIs, work with cross functional teams to meet the goals., • Collaborate daily with engineering teams, architects, actuaries, and data teams to clarify requirements, remove blockers, and ensure delivery aligns with business, regulatory, and underwriting outcomes., • Lead quarterly planning, sprint planning, and backlog refinement with cross-functional squads and stakeholders, setting clear expectations on scope, timelines, and dependencies., • Coordinate across multiple portfolios and product teams to identify existing capabilities (rating engines, underwriting services, policy administration), promote reuse, and surface capability gaps to reduce duplication., • Coordinate production releases by managing the deployment of code to production, ensuring timely and accurate delivery of new features to business stakeholders., • Partner with enterprise and solution architects to understand system impacts, data flows, and dependencies across rating, underwriting, policy systems etc., • Assess feasibility, cost-of-delay, regulatory impact, and business value for proposed enhancements; influence prioritization decisions using data and insurance domain knowledge., • Setting priorities and actively participating in team planning and scrum ceremonies, • Working daily with the agile working group, clarifying business requirements, removing roadblocks, constantly communicating, and supporting alignment around product strategy, • Identify the relationships, dependencies and impacts of change (highlighting options) on multiple systems and processes, • Contribute to the project as required to develop proposals, requirements or other project documentation., • Elicit further requirements and test / challenge assumptions using a variety of methods including interviews, document analysis, workshops and business process descriptions, • Contribute to the Business Solutions Team development of standards / methodology for capturing and publishing business processes, requirements and other documentation, • Defining and documenting epics, user stories, acceptance criteria, etc. for complex solutions, • Work effectively as part of a project team alongside the Senior Product Owner, Scrum master and delivery team, • Ensure product features and releases comply with P&C regulatory requirements, rate-filing constraints, auditability, data privacy, and industry standards; negotiate priorities to maintain compliance without sacrificing value., • Contribute to team sprint planning and set expectations for delivery of new capabilities, features, and functionalities., • Participate in team demos, retrospectives, and all other ceremonies., • Accountable for developing and achieving product level KPIs. Manages product(s) (data products) with a moderate degree of strategy, scope, and complexity., • Collaborate with technology and business leadership to align system/application integrations in line with business goals and priorities. Resolve open issues/questions quickly and efficiently., • Set expectations with stakeholders for delivery of new capabilities, features, and functionalities. Participates in team demos, retrospectives, and all other ceremonies., • Monitor and maintain the product health, supporting long-term product viability and efficiency, and balancing long and short term and costs with desired outcomes., • Bachelor's degree in Computer Science, Business Administration, or related field; Master's degree preferred., • Considerable relevant industry or functional experience in P&C insurance, • Proven experience (5+ years) as a Product Owner, Product Manager, or similar role, • Strong understanding of Agile methodologies, including Scrum and Kanban, and experience working in Agile environments., • Technical fluency to partner effectively with architects and engineers (systems thinking, dependencies, integration points)., • Excellent analytical, problem-solving, and decision-making skills, with the ability to prioritize competing demands effectively., • Exceptional communication, negotiation, and interpersonal skills, with the ability to influence and collaborate across teams., • Strong Presentation and leadership skills, • Experience with product management tools such as JIRA, Trello, or Asana, and proficiency in Microsoft Office Suite., • Agile practitioner capabilities and experience working with or in Agile teams, • Strong team-work, co-ordination, organization and planning skills, • Ability to capture complex requirements in a prioritized backlog

Job Description Join a forward-thinking financial conglomerate and be at the forefront of innovation in the industry. We're seeking a Machine Learning Developer to be part of our dynamic team. If you're a Python enthusiast or an adept programmer with a passion for data-driven decision-making, we want to talk to you. Job Description: Position Overview: As a Machine Learning Developer, you'll be a valuable member of our team, working on projects that span from infrastructure development to cutting-edge modeling. The ideal candidate is someone with strong coding abilities and a solid foundation in mathematics, computer science, statistics, or machine learning. If you have an entrepreneurial spirit, a collaborative mindset, and a hunger for professional growth, we'd love to meet you. Key Responsibilities: • Engage in a mix of infrastructure work (25%) and modeling (75%)., • Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning., • Collaborate with a two-person team and liaise with different stakeholders within the organization., • Strong coding skills, preferably in Python or a similar programming language., • Solid background in mathematics, computer science, statistics, or machine learning., • A proactive and entrepreneurial mindset., • Preferred: At least 2 years of professional work experience., • Experience in ML disciplines, particularly in NLP, unstructured data analysis, predictive modeling, or classic machine learning, is a significant advantage. Application Process The application process for the Machine Learning Developer position consists of three steps to ensure we find the best candidates: Step 1: Introductory Call The first step involves a 30-minute introductory call with the hiring manager. This is an opportunity for you to discuss your skills, experience, and aspirations, and to learn more about the role and the team. Step 2: Coding Algorithm Test If you successfully pass the introductory call, the second step is a coding algorithm test. You will be provided with a coding challenge to assess your problem-solving and programming skills. This test helps us understand your practical abilities and how well you can apply your knowledge to real-world scenarios. Step 3: Coding Interview In the third step, we will conduct a coding portion of the interview to evaluate your development skills in more depth. This interview is designed to ensure that your coding and development skills meet our standards and align with the responsibilities of the role. We encourage all qualified applicants to take the first step and schedule an introductory call. Join our innovative team and demonstrate your development skills to make a significant impact in the financial industry. To schedule your introductory call and advance to the next steps, please send your resume and a brief introduction. Cypress Group is committed to diversity and inclusion in the workplace. We appreciate the interest of all applicants and will contact candidates who advance to the coding interview phase.

Job DescriptionDescriptionOverview New York Public Library is hiring Tutors for the NYPL After School program, which provides free, drop-in homework help and enrichment activities for school-age children at NYPL locations in Manhattan, the Bronx, and Staten Island. Tutors work alongside the Lead Tutor at each location. The 2024-2025 program year for NYPL After School will run from September 30, 2024 to June 12, 2025. Tutors will not work during scheduled program breaks, including holiday closures and days when NYC DOE schools are not in session. Prior to the program’s launch, Tutors will attend training workshops during the weeks of September 16 and September 23, 2024. During the program cycle, Tutors will work 8 hours per week, either Mondays & Wednesdays or Tuesdays & Thursdays, scheduled for four hours a day between 2:00-7:00 PM, with additional hours required for staff meetings, professional development, and program preparation. Working alongside the Lead Tutor at each location, Tutors work in the public library to engage children ages 6-12 in group format academic support and enrichment activities during the busy after school hours. The program does not require enrollment and children are welcome to participate on a drop-in basis each day. In the application, you will select up to 4 locations where you are available to work. You must be able to get to the locations you select by 2 PM on either Monday & Wednesday or Tuesday & Thursday. If you are hired, you will be assigned to a primary location, with occasional assignment to nearby locations as staffing needs arise. NYPL After School is hiring Tutors for the following locations: Bronx Branches • Bronx Library Center, • Grand Concourse, • High Bridge, • St. GeorgeResponsibilities Under the supervision of an Associate Manager, NYPL After School Tutors will: • Work alongside a Lead Tutor to implement NYPL After School’s daily homework help service at designated program locations on weekdays between the hours of 2:00-7:00 PM, • Welcome and engage children ages 6-12 in homework help and enrichment activities on a walk-in basis during after school hours in the library, • Work with students both individually and in groups to deliver scalable academic support and promote learning across subject areas including math, reading, social studies, and science across elementary grade levels, • Share program information and expectations with parents/caregivers and refer patrons to branch staff for additional resources and assistance, • Assist the Lead Tutor in tracking attendance and managing program supplies, • Communicate proactively with branch and central staff to provide feedback and highlight challenges and successes, • Plan and implement engaging enrichment activities for children, • Provide supportive guidance and model best practices for youth employees from the Teen Reading Ambassadors program, who provide additional staff support for NYPL After School, • Work alongside the Children’s Librarian and other branch staff to provide assistance for programs and events in the library, • Attend periodic meetings and trainings to facilitate information exchange among program staff and promote professional development, • Bachelor’s degree OR, • Current enrollment in an undergraduate degree program, with at least two or more years completed at an approved accredited educational institutionRequired Experience, • Prior experience working in a formal or informal education setting with children and/or teens, • Experience teaching and/or tutoring in multiple subject areasRequired Skills, • Ability to engage and communicate effectively with children ages 6-12, as well as parents and caregivers, co-workers, and supervisors, • Ability to multitask and work flexibly in a busy public library environment, • Strong understanding of basic elementary Math, Science, English, History, and Second Language concepts, • Be Helpful to patrons and colleagues, • Be Resourceful in solving problems, • Be Curious in all aspects of your work, • Be Welcoming and InclusiveWork Environment, • New York Public Library branch libraryPhysical Duties, • Limited physical effort is required Union/Non Union Non-Union FLSA Status Non-Exempt ScheduleMondays & Wednesdays OR Tuesdays & Thursdays, scheduled between 2:00-7:00 PM8 hours per week.Occasional additional hours for staff meetings and trainings.Program cycle will run from September 30, 2024 - June 12, 2025, with required training sessions for staff between September 16 - 27, 2024.Not scheduled to work during DOE school breaks (including summer) or federal holidays. This job description represents the types and levels of responsibilities that will be required of the position and shall not be construed as a declaration of all of the specific duties and responsibilities for the role. Job duties may change if Library priorities change. Employees may be directed to perform job-related tasks other than those specifically presented in this description as needed. The New York Public Library Salary Statement At the Library, we believe that pay transparency and pay equity are important to ensuring we source the best candidates and keep the best employees. When making a determination as to the appropriate salary for a candidate, we consider a variety of factors such, including, but not limited to, the position requirements, the skills, prior experience, and educational background required or preferred for the job, the scope and impact of the role within the organization, internal peer equity, and the candidate's specific training, experience, education level, and skills. No single factor is conclusive; the Library reserves the right to consider any and all relevant factors and make a decision consistent with its policies. Union Salaries are determined by collective bargaining agreement(s).

Job Description Overview: At BHSI, we believe in empowering our customers to navigate a world full of uncertainty. Property and Casualty (P&C) Insurance plays a vital role in helping individuals and businesses manage risk by transferring potential financial losses to insurers. At the heart of this process is the underwriter—a key decision-maker who evaluates risk and crafts insurance solutions that protect what matters most. As a P&C Underwriting Intern, you will gain hands-on experience in assessing risk, structuring policies, collaborating with internal and external partners, and managing a business portfolio. This is your opportunity to gain experience, enhance your skills, contribute meaningfully, and be part of a team that’s transforming the insurance industry. BHSI is building a forever business, and we want you to consider being a part of it! Learn more about our unique culture and history. Opportunity: We are seeking a motivated and curious individual to join our New York Commercial Property team as a Summer Intern. This 12-week paid internship offers a deep dive into the world of commercial underwriting. You will: • Learn how to evaluate and underwrite commercial property risks., • Gain exposure to the insurance lifecycle and the broader commercial property market., • Collaborate with experienced underwriters and cross-functional teams. What You will Learn: • Fundamentals of commercial insurance, • Risk assessment and pricing strategies, • Industry trends and market dynamics, • Interest in Insurance, underwriting, market trends or pursuing a degree in a relevant field (e.g., Business, Finance, Risk Management, Actuarial Science), • Analytical and detail-oriented, with strong problem-solving skills, • Proficiency in math and comfortable with statistics, probability and financial principles, • Effective communicator and team player, • Adaptable, self-motivated, and eager to learn Attributes & Values: • Strategic thinking and critical analysis, • Strong organizational and time management skills, • Customer-focused mindset, • Embodies respect and integrity, • Passion for excellence and continuous improvement The base salary range for this position in New York is from $22/hour - $25/hour; a candidate’s salary is determined by their relevant skills and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job Description CCRM Fertility, a leader in fertility care with over 30 locations nationwide, is excited to announce the opening of a brand-new clinic. We are looking for passionate and driven individuals to help shape the future of fertility care in our community. This is a unique chance to be part of a dynamic, growing team where your contributions will have a direct impact on the clinic's success and the lives of the families we support. If you're eager to be part of an innovative and compassionate healthcare environment, we’d love to hear from you! Come join CCRM Fertility, a global pioneer in fertility treatment, research, science, specializing in IVF, fertility testing, egg freezing, preimplantation genetic testing, third party reproduction and egg donation. As a member of CCRM Fertility’s diverse team of professionals, you will be a part of helping families grow and changing lives. We take pride in providing our employees with meaningful employment, a supportive culture, and a well-balanced personal & work life alignment. For more information, visit What We Offer Our Team Members: • Generous Paid time-off (PTO) and paid holidays, • Medical, Dental, and Vision Insurance, • Health benefits eligible the first day of the month following your start date., • 401(k) Plan with Company Match (first of the month following 2 months of service), • Basic & Supplement Life Insurance, • Employee Assistance Program (EAP), • Short-Term Disability, • Flexible spending including Dependent Care and Commuter benefits., • Health Savings Account, • CCRM Paid Family Medical Leave (eligible after 1 year), • Supplemental Options (Critical Illness, Hospital Indemnity, Accident), • Professional Development, Job Training, and Cross Training Opportunities, • Bonus Potential, • Potential for Over-time Pay (Time and a half), • Holiday Differential Pay (Time and a half) What You Will Do: The Patient Financial Representative coordinates the financial aspects of a patient’s while fostering a positive and memorable patient experience. This role educates patients on financial services and the steps/timeline to receive payment from the patient(s) insurance and must be accessible to patients to serve as a resource for all financial matters regarding their care. The Patient Financial Representative reports to the Patient Engagement Manager. • Insurance verifications for all patients prior to the New Patient appointment and treatment cycle., • Verify insurance benefits have been entered in the practice management system and track any insurance changes that occur during their course of care., • Collect payments from patients prior to the scheduled service., • Ensure valid insurance information is available in the patient’s chart., • Serve as the patient’s primary point of contact for financial matters and ensure the patient knows the Patient Financial Services guidelines and policies during the course of care., • Address insurance coverage discrepancies (following verification) with the patient and serve as an advocate for patients experiencing difficulty with the insurance process., • Identify and perform pre-certification(s) required by the patient’s insurance for general medical service, infertility diagnostic service, infertility treatment service, obstetrical care service, etc., • Determine and communicate patient financial responsibility based on pre-certification, prior to any procedures and obtain written pre-authorization documentation., • Identify patients eligible to proceed with ART care, provide ART Financial Consult, and obtain payments prior to care, in accordance with Care Center guidelines., • Serve as a resource to Care Teams regarding insurance coverage limitations on a patient’s care plan., • High School Diploma or GED required., • 1+ year medical billing experience preferred., • Previous experience in reproductive medicine or Women’s health preferred., • Prior experience with Athena preferred. CCRM’s Compensation: The salary range represents the national average compensation for this position. The base salary offered will vary based on location, experience, skills, and knowledge. The pay range does not reflect the total compensation package. Our rewards may include an annual bonus, flexible work arrangements, and many other region-specific benefits. Pre-Employment Requirements: All offers of employment are conditional upon the successful completion of CCRM Fertility’s onboarding process, including verification of eligibility and authorization to work in the United States. This employer participates in the E-Verify Program in order to verify the identity and work authorization of all newly hired employees. Equal Employment/Anti-Discrimination: We are an equal-opportunity employer. In all aspects of employment, including the decision to hire, promote, discipline, or discharge, the choice will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionAbout us At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals. Join a Company that is Powering the Future of Finance with AI RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents. About The Role We're seeking a Business Development Representative (BDR) to join our dynamic NY team and drive sales, prospecting, business development and opportunities of RavenPack's industry-leading GenAI and SaaS services. In this role, you'll play a pivotal part in democratizing access to real-time, high-quality financial data through our comprehensive suite of offerings, including our latest GenAI platform, Bigdata.com. You will report directly to the Global BDR Manager and collaborate closely with our Business Executives, Data Science, and Marketing teams to achieve your goals. Key Responsibilities * Prospect and qualify leads from a list of targeted contacts and accounts. * Present and clearly communicate RavenPack’s value proposition to major decision-makers. * Leverage leading-edge sales and marketing tools to research and identify ideal personas to prospect * Track and manage prospects through Businessforce.com. * Perform high volume outbound prospecting through emailing campaigns, calls and research tools such as LinkedIn or Salesforce. * Schedule and proactively set up meetings between qualified leads and Sales Executives. * Re-engage stale or missed leads and opportunities. * Work closely with Business and Marketing team members to achieve organizational goals. Qualifications * 1 - 3 years of Sales or BDR Experience (preferably in a SaaS Company) with KPI-driven quota incentive structure * CRM experience is a must * Outstanding verbal and written communication skills. * Proven lead generation or Business development experience. * Superior pre-call planning, opportunity qualification and objection handling skills. * Aptitude to manage time effectively, prioritize and multitask. * Strong analytical thinker and problem solver. * Desire to grow and advance a career in Business. * Bachelor’s degree or University level equivalent education required. What's in it for You? * Growth Opportunity: Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that truly matters for business and finance. * International Culture: Be part of a diverse, global organization with a truly international culture. * Team of Superstars: Work alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans. * Work-Life Balance: Enjoy paid vacation, flexible time-off, and a flexible work policy. * Benefits: Access to healthcare insurance and a 401K plan. * Hybrid work arrangement * Equal Opportunity Employer: We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description This is a rare opportunity to lead the future of workplace technology. We Versant Media are starting off with a clean slate, free from the burden of legacy tech debt. As our Senior Director of Workplace Engineering, you will have the mandate to bring fresh, innovative ideas that completely rethink what workplace technology looks and feels like for a modern enterprise. You will lead a world-class team of engineering directors and managers, empowering them to design, build, and deploy the next generation of solutions that power our global offices and enable a seamless hybrid work environment. You will be at the forefront of our strategy, integrating IoT, building automation, and collaboration systems with interior design and architecture to build an iconic HQ that inspires our employees and impresses our guests. If you are a visionary leader who can balance deep technical expertise with strong people leadership, and you are ready to build a high-performing engineering culture from the ground up, this is the role for you. Qualifications Basic Requirements: · A bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related field. · 10+ years of extensive software development experience, with a proven track record in a senior leadership or management role overseeing software engineers. · Demonstrable experience leading the delivery of software products or platforms in a fast-paced, agile environment. · Strong software engineering background with expertise in modern web technologies and cloud-based architectures (AWS, Azure). We value diverse language experience and a strong ability to apply engineering best practices across tech stacks. · Experience in overseeing solution design and architecture, driving alignment with business objectives, and optimizing systems for scalability and modernization. · Exceptional collaboration skills, with the ability to effectively communicate and partner with technical and non-technical stakeholders across all levels of the organization. · A strategic mindset with strong problem-solving abilities, comfortable making technical decisions, reviewing designs, and guiding teams through complex engineering challenges. Desired Characteristics: · Workplace Innovation: Experience building and integrating IoT and automation systems within a new building or a modern workplace environment. · AI and Data Expertise: Familiarity with AI/ML concepts and experience integrating AI-driven tools or features into software products (e.g., chatbots, recommendation systems). · System Integration: Expertise in tightly integrating building technology with daily employee-facing systems to create a cohesive user experience. · Leadership & Culture: A demonstrated ability to mentor developers, provide constructive feedback, and build a positive, innovative, and inclusive team culture. Additional Requirements: • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $190,000 - $245,000 (bonus and long-term incentive eligible) We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Software Engineer to lead the design and implementation of our foundational incentive and rewards platform. In this role, you will act as a strong steward of our backend systems, building the core infrastructure that connects real-world vision signals with personalized member experiences. You are an expert-level engineer who can explain complex business and technical requirements, mentoring others while driving large-scope projects to completion. You thrive on high-growth challenges and are eager to build high-quality, scalable systems that bridge digital engagement with physical arrivals. What you'll do • Design and implement the backend services that power the Metropolis incentive and rewards infrastructure, • Build real-time event streaming architectures to process and react to high-frequency signals from the physical world, • Develop scalable compliance and preference management services to ensure cross-vertical message delivery integrity, • Architect intelligent decisioning frameworks that evaluate user context and profiles to deliver personalized experiences, • Create robust service architectures to manage product eligibility, partner configurations, and budget constraints, • Implement comprehensive attribution and measurement systems to quantify user engagement and campaign efficacy, • Scale and maintain multi-modal identity systems that bridge digital tokens with real-world identifiers, • Collaborate with cross-functional teams in Product, Marketing, and Data to define the long-term technical roadmap, • Mentor team members and lead technical discussions to drive continuous improvement of the engineering platform, • Drive the full software development lifecycle from initial conceptualization through to production deploymentWhat we're looking for, • 6+ years of software engineering experience, • BS or MS in Computer Science or equivalent work experience, • Working knowledge of Scala, Java, or other JVM languages supporting functional programming, • Experience building distributed systems using microservices, SOA, and event-driven architectures, • Deep understanding of agile processes and the software development life cycle, including TDD/BDD and CI/CD, • Experience with database technologies such as MySQL and RDS, • Proven ability to design and build highly available and scalable systems, • Excellent written and verbal communication skills for presenting complex technical information, • Professional exposure to developing large-scale, high-quality systems for consumer-facing applicationsWhile not required, these are a plus:, • Hands-on experience with container technologies and infrastructure as code, • Previous experience working in innovative, high-growth environments Our Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are looking for an exceptional Senior Product Manager, Reporting & Client Insights to join our Health Intelligence team. This role will lead the development of innovative insights built from client-level healthcare claims and performance data. You will shape the reporting and analytics products that power executive decision-making for employers, consultants, and internal stakeholders. These products sit at the core of how we demonstrate value, drive client adoption, and scale our impact. As the lead product manager, you will develop the data concepts and insight frameworks we provide, collaborate closely with data engineers, analysts, and data scientists within Garner, and partner with senior client leaders to ensure our reporting drives action and measurable outcomes. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Interact with senior client leaders and internal stakeholders to understand their reporting needs and translate them into scalable data products, • Partner with data engineers, data analysts, other product managers, and data scientists to design, develop, and refine innovative insights built from client data, • Own the end to end product lifecycle for reporting and analytics tools, from concept through launch and iteration, • Build and continuously improve high-quality QA, data validation, and delivery processes to ensure accuracy, reliability, and trust, • Define target client profiles and contribute to our overall Insights and reporting strategy, • Drive clarity around metrics, definitions, and data governance to ensure consistent and trusted outputs across the organizationThe ideal candidate has:, • 5+ years of product management, data science leadership, or technical strategy experience, • Exceptional analytical and statistical problem solving, • Experience managing a wide variety of internal and external stakeholders, • Experience in healthcare technology or data products (preferred), • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $200,000 - $240,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Job Title: Data Analyst Grade: 22 Salary: $80,698- $113,989 The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Data Analyst position. Mental Health Data Science provides statistical collaboration, data analytic methodological development, and data management for psychiatric and mental health research conducted within the Department of Psychiatry, Research Foundation for Mental Hygiene (RFMH), and the New York State Psychiatric Institute (NYSPI). We participate in extensive statistical collaborations with over 50 psychiatry researchers in any given year, providing statistical expertise and analysis to projects, including: biomarkers from brain imaging and neurocognitive tasks for mood and anxiety disorders and psychosis; clinical trials of new pharmacotherapies and psychotherapies for psychiatric and neurological disorders, including building treatment decision rules; implementation studies of support service programs for mental health treatment and prevention; measurement studies for improving psychometrics of diagnosis instruments in substance use disorders, depression, and biological aging; cohort studies of child-adolescent development of psychiatric and substance use disorders; causal analysis of prescribing practices monitored from medical claims records; momentary assessment studies of cardiovascular response to emotions and stress markers related to suicide; and much more. Seeking a qualified candidate to fill a full-time position of biostatistical data analyst in Mental Health Data Science division at The Research Foundation for Mental Hygiene affiliated also with the Department of Psychiatry at Columbia University Irving Medical Center. Duties and Responsibilities: • Specific duties will include the statistical analysis of clinical, epidemiological, and biological data., • The position will include planning and performing statistical analyses and writing reports for various externally funded research projects., • Excellent oral and written communication skills are highly preferred as is any prior experience in statistical consulting and analyzing data arising from psychiatric research. Solid academic training in biostatistics methods include techniques such as generalized linear modeling, multilevel and longitudinal models. To Apply: Submit an application through our website at . Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Job Posted by ApplicantPro

Job Description Primary Responsibilities · Lead Clinical Pharmacology strategy across early and late stage development, integrating PK, PD, exposure–response, and biomarker data to inform dose selection, regimen, and overall study design. · Own model informed drug development (MIDD) plans (e.g., population PK, PBPK, and quantitative systems approaches) to optimize trial designs and decision points from first in human through pivotal phases. · Author and review CP deliverables for protocols, clinical development plans, IBs, SAPs, and regulatory documents (IND/IMPD/NDA/BLA/MAA), ensuring clarity, traceability, and compliance. · Drive analysis & reporting of PK/PD and exposure–response results (internal and CRO executed), ensuring scientific integrity, reproducibility, and timely insights for program teams and governance. · Establish bioanalytical strategy and standards (method selection/validation, sample handling, and data QC) in partnership with Translational Medicine and external labs/CROs. · Lead Health Authority interactions for CP topics; prepare briefing materials, address IRs, and represent the function in meetings with FDA, EMA, and other agencies. · Provide cross functional leadership with Clinical, Biostatistics, Data Science, CMC, and Regulatory to integrate quantitative evidence into go/no go decisions and portfolio prioritization. · Vendor selection and management for CP related CROs; define scopes, oversee execution, and ensure deliverables meet quality and timeline commitments. · Advance standards & governance (CDISC/ADaM for PK datasets, data pipelines, analysis reproducibility), championing best practices and inspection readiness for a GxP environment. · People collaborations (please note this is an individual contributor role): Must roll up sleeves and be a doer who wants to be into the details themselves. Mentor staff cross functionally and foster an inclusive, high-performance culture consistent with Immuneering values. Qualifications Education · Education: PhD or PharmD (or MS with significant industry experience) in Clinical Pharmacology, Pharmacokinetics, Pharmaceutical Sciences, or related quantitative field required. · Experience: Minimum of 5+ years in biotech/pharma Clinical Pharmacology required, more years of experience is a plus, including end-to-end ownership of CP strategy, MIDD, and regulatory submissions across Phase 1–3. · Technical depth: • Population PK/PD modeling (NONMEM, Monolix), PBPK (Simcyp, GastroPlus), and exposure–response methods., • Bioanalytical method development/validation oversight and data integrity in GxP contexts. Soft skills: Strong experience working as an individual contributor. This is a single employee function expected to collaborate with internal functions for success. Exceptional scientific communication, cross functional influence, vendor management, and decision making in fast paced settings. Must embody Immuneering’s core values of: Data Rules, Humble, All In, Care and Own It (accountability). Physical Demands/ Working Conditions The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Requires prolonged sitting, some bending, stooping, and stretching. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires the ability to perform essential job functions with or without reasonable accommodation. No significant lifting is associated with the role. While extensive travel is not anticipated with this role, it is possible to perhaps up to 15% at times. Requires prolonged sitting, some bending, stooping, and stretching. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires normal range of hearing and eyesight to record, prepare and communicate appropriate reports. No significant lifting is associated with the role. Immuneering is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Job Offers: Immuneering uses the Immuneering.com domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Immuneering but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Immuneering without a prior written agreement in place will be considered property of Immuneering, and no fee will be paid in the event of a hire. Thank you for your understanding.

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * AI Safety * PhD focused on topics related to adversarial machine learning, red teaming and model alignment. * Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. * Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. * Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. * Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

\n\n\n\n Job Summary: The Epic Director is responsible for providing executive, strategic, and operational leadership for the implementation of enterprise Epic systems. Reporting to the Vice President of the Epic Program, DirectorEpic is the project leader overseeing implementation and operational activities for the Epic system. The individual will be part of a consortium team with colleagues at affiliated institutions, consisting of project managers, analysts, and developers with acute care clinical system domain expertise. This position works closely with clinical and business leadership and leads a multidisciplinary team inthe design, implementation, workflow optimization, change management, and issue resolution related to inpatient clinical applications. This position requires broad knowledge of clinical systems such as the Epic platform, along with inpatient clinical workflow and business processes. As a Director for the enterprise Epic initiative, this individual will collaborate with peer domain-specific directors forenterprise Epic, as well as appropriate technical and operational leaders from affiliated institutions. \n\n Responsibilities: \n\n\n\t • Plan, execute, and support complex inpatient EHR modules. Modules will support clinical documentation, computerized clinician order entry, electronic results review, clinical decision support, secure messaging, and charge capture. The scope of work includes establishing business objectives, defining workflow, and standardizing clinical content.\n\t, • Manage and supervise full-cycle implementation activities and daily operations of a group composed of highly skilled project managers and technical and analytic employees with domain expertise in inpatient clinical systems.\n\n\n\n\t, • Oversee clinical content and system build that leverages Epics best practices, while supporting key workflows and business processes within the Consortium.\n\t, • Collaborate effectively with the Directors of ambulatory and inpatient systems for enterprise Epic to insure consistent clinical build and efficient workflow processes throughout the continuum of care.\n\n\n\n\t, • Oversee build, deployment, and support of enterprise ambulatory registration and scheduling modules and inpatient bed management/ADT functionality.\n\t, • Oversee build, deployment, and support of professional fee and hospital billing modules\n\t, • Collaborate effectively with respective Directors to ensure that clinical modules are optimally integrated with revenue cycle modules to maximize productivity and revenue opportunities.\n\t, • Initiate, develop, and maintain coordination and communication with system users, department administration, vendors, and senior college and hospital management to assure organizational success. If necessary, train or supervise training of users and other staff in current and new aspects of system functionality.\n\t, • Manages project plans, operating budgets, reports, spreadsheets, and other presentations necessary for the proactive communication and management regarding your projects to other administrators, users, and relevant affiliates.\n\t, • Work collaboratively with clinician leaders, business offices, and information technology offices of all consortium members to coordinate operational planning and support for core information services and technical infrastructure. Keep informed of system developments with the institution and affiliates as well as within the industry and related vendor realm\n\t, • Negotiate and resolve project issues and escalations, including scope creep, and other risks associated with executing on the project plans. Ensure adherence to the project budget and identify and communicate any factors that may cause a budget variance.\n\t, • Prepares annual operating and capital expense budgets for project deliverables. Manages project budgets and approves expenditures.\n\t, • Provides and maintains effective communication with hospital management to define the priorities of projects, including equipment acquisitions, requirements of management and staff, and allocation of departmental resources. Presents reports to keep hospital administration informed of project development and any deviation from projected goals.\n\t, • As a key stakeholder in the effective execution of the project charter, he makes recommendations to ensure that the IT strategic plan is aligned with the organizations business objectives.\n\t, • Manages vendor relationship management with appropriate counterparts at Epic to coordinate resource planning, project deliverables, and technical specifications.\n\t, • Performs all duties inherent to a managerial role. Participates in hiring, training, evaluation and termination of assigned staff according to hospital policies and procedures.\n\t, • Performs other special projects and duties as assigned.\n\n\n \n\n Qualifications/Requirements: \n\n Experience: \n\n\n\t • Minimum of 7 years of previous work-related experience required\n\t, • A Bachelors Degree in healthcare, business management, computer science or a related field is required.\n\t, • Experience implementing and/or supporting applicable enterprise clinical systems\n\t, • Excellent knowledge of clinical systems utilized in hospitals and physician practices\n\t, • Must be able to demonstrate the ability to achieve results in a complex environment.\n\t, • Excellent verbal and written communications and interpersonal skills are required.\n\t, • Experience working with and managing colleagues in a matrix-management model\n\t, • Experience in a large academic medical practice, health care IT vendor, and hospitals are all extremely helpful.\n\t, • Significant experience with Epic and its related integration modules or other enterprise clinical systems, including formal certifications, is strongly preferred.\n\t, • For the Director of EPIC Access and Revenue Cycle must have excellent working knowledge of EMPI, ADT, Registration, Scheduling, and Billing processes utilized in hospitals and physician practices.\n\n\n\n\n

Want to build a brighter, bolder future and cultivate your career? Join Ecolab’s team and help create a world in which we all thrive. EcoSure, the brand protection division of Ecolab, partners with global brands to create an end-to-end brand protection strategy. Through a collaborative approach to on-site assessments, coaching, digital learning and industry best practices, we create a unique program that encompasses the critical components of any operation. EcoSure conducts more than 500,000 assessments annually in 140+ countries around the world. The results are real-time insights and actionable steps that mitigate brand risk and optimize guest experience. Ecolab is seeking a Brand Protection Advisor to join our team in Manhattan, NY. As a Brand Protection Advisor, you’ll deliver on-site evaluations, coaching, and insights that elevate food safety, guest experience, workplace safety, and operational excellence. You’ll partner with clients to identify risks, reinforce brand standards, and drive continuous improvement, making a measurable impact on public health and customer satisfaction. How You’ll Make an Impact: * Conduct a variety of brand protection visits at client locations using a foundation of consulting, coaching, and training to meet the unique expectations and program requirements of the clients and help protect their brand and delight their guests * Develop and deliver summary presentations of assessment findings, areas of improvement, and recommendations to client leadership * Partner with other EcoSure and Ecolab teams to solve client challenges * Complete a budgeted number of visits each week, delivering an exceptional client experience * Utilize an iPad, Microsoft Suite, and Customer Relationship Management (CRM) technology to ensure efficient planning and perform essential job functions * Support the growth initiatives of our company and our clients * Adhere to HIPAA guidelines (where applicable) while completing operational visits within hotels, restaurants, convenience stores, the education sector, healthcare and senior living facilities by interacting with staff and residents Position Details: * Candidate must reside within a commutable distance of: * Manhattan, NY * New York City, NY * Percent of overnight travel required: 50% * Position requires the ability to work occasional evenings, weekends, and overtime as business needs dictate * Based on customer requirements, obtaining ServSafe and/or CP-FS certification(s) may be a condition of continued employment What’s Unique About This Role: * The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best * Paid training program that includes job shadowing, e-learning modules, structured field activities, and customized classroom-style training * Company-paid vehicle for business and personal use, where applicable * Plan and manage your schedule in an independent work environment * Be part of a company that values a culture of safety that includes top-notch safety training and personal protective equipment Minimum Qualifications: * High school diploma * Two years of hospitality industry-related experience * Position requires a current and valid Driver’s License with no restrictions * Due to the nature and hours of the work, must be 21 years of age or older * No Immigration Sponsorship available for this position Physical Requirements of Position: * Being around, touching and potentially consuming food made from or with animal products and/or top allergens * Lifting and carrying 25 pounds * Inspecting client playgrounds by climbing, crawling in tight areas and going down tube slides * Bending, squatting, shifting and adjusting movement to assess areas low to the ground and above the head * Standing and walking for extended periods of time in client locations * Driving and/or flying to client locations as needed; you are responsible to have the proper documentation to fly such as a Real ID or other acceptable form of identification * Driving a company-paid vehicle as required to perform job duties (pre-employment and ongoing motor vehicle record checks will be performed to determine eligibility to drive a company vehicle) Ecolab is committed to providing reasonable accommodation to qualified individuals with a disability. Preferred Qualifications: * Bachelor’s degree in culinary, hospitality or business field * Multilingual (Spanish & French preferred) * High-level customer service and advanced consultative skills * Ability to work well under pressure, juggle tasks and work efficiently against deadlines * Strong planning and organizational skills and high attention to detail * Ability to work effectively without supervision, show initiative, good judgment, and superior decision-making and problem-solving skills What’s in it For You: * Starting on Day 1: Access to our comprehensive benefits package including medical, dental, vision, matching 401K, company-paid pension, stock purchase plan, paid parental leave, select discounted childcare resources, and more! * The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, and healthy environments * The ability to make an impact and shape your career with a company that is passionate about growth * The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best About Ecolab: At Ecolab, we prioritize our talent-first philosophy by creating the most capable and diverse team to excel at our nearly three million customer sites. Building on a century of innovation, our 48,000 associates help deliver comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets in more than 170 countries around the world. Our solutions not only enhance operational efficiency but also contribute to sustainability and public health, making a positive impact on the world. We are committed to eliminating unnecessary complexities and embracing a beginner's mindset, continuously seeking new perspectives and innovative solutions to stay ahead in a rapidly changing world. Annual or Hourly Compensation Range The pay range for this position is $58,400-$87,600. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws. Benefits Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. Click here to see our benefits. If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here. Potential Customer Requirements Notice To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to: • Undergo additional background screens and/or drug/alcohol testing for customer credentialing., • Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab. Americans with Disabilities Act (ADA) Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website. Our Commitment to a Culture of Inclusion & Belonging \nAt Ecolab, we believe the best teams are inclusive. We are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants and recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran. \n In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). \n We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Title: Data Engineer Location: Open (U.S. based, travel as needed) We are looking for a Data Engineer to design, build, and optimize modern data platforms that support advanced analytics and AI solutions. In this role, you will work with cross-functional teams to develop scalable data pipelines, manage secure data environments, and help organizations unlock the full value of their data. What You'll Do • Design and build batch and real-time data pipelines, • Develop and optimize large-scale data processing workflows, • Implement secure, reliable, and high-performing data solutions, • Work with structured and unstructured data across cloud and on-prem systems, • Collaborate with data scientists, engineers, and business stakeholders, • Support AI and machine learning use cases, including modern applications like RAG and vector databases, • Streaming platforms for real-time analytics, • Data pipelines that improve reporting speed and decision-making, • Optimization of large-scale data workflows to reduce cost and improve efficiency, • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, • 8+ years of experience in data engineering, software engineering, or similar roles, • Strong programming skills in Python, Scala, or Java, • Advanced SQL skills, including performance tuning and complex query optimization, • Hands-on experience with SQL Server and relational database design, • Experience with cloud platforms (AWS, GCP, Azure, or similar), • Familiarity with modern data tools such as Snowflake, BigQuery, Redshift, or Delta Lake, • Experience with tools like Databricks, dbt, or AWS Glue, • Knowledge of distributed systems (Spark, Flink, etc.) and streaming tools (Kafka, Kinesis), • Experience with workflow orchestration tools like Airflow or Prefect, • Understanding of DataOps, CI/CD, and monitoring tools, • Exposure to ML platforms or AI tools is a plus, • Competitive compensation and benefits, • Opportunities to work on cutting-edge data and AI projects, • A collaborative, fast-paced environment, • Strong focus on learning, mentorship, and career growth

Job DescriptionWho We AreSince its founding in 2010, Challenge Preparatory Charter School (Challenge Prep) has provided students and families with a successful academic program in Far Rockaway, Queens. We currently serve over 1200 scholars from Kindergarten to 12th grade across 3 sites. Our school’s mission is to prepare students from the greater Far Rockaway community to excel academically, to demonstrate mastery of the NY State Learning Standards, and to achieve their career aspirations. Challenge cultivates and supports the intellectual, aesthetic, social, emotional, and ethical development of its students and prepares them to be responsible 21st century citizens. To accomplish its mission, Challenge offers a rigorous instructional program in a safe, supportive, technology-infused and data-enriched and social-emotional learning sequence, authentic field experiences, career counseling, and college coursework. It is understood that we are one organization with multiple sites, and it is expected that all members of the team collaborate to support all of our scholars. Understanding the RoleEvery member of the Instructional Team at Challenge Charter Schools plays a critical role in ensuring our students have the skills and confidence to pursue the paths they choose - college, career, and beyond. Our educators are passionate advocates for their students and their families, working tirelessly to ensure that our students have access to opportunities. We are especially committed to attracting and developing individuals who share the life experiences of our students because we believe the best work we do is grounded in the realities and experiences of our families and students. As the Middle School Family and Consumer Science Teacher, you will deliver exceptional instruction and assess student growth. You are dedicated to constant learning and proactively provide academic and cultural support to your school and team.Essential Duties and Responsibilities include the following: • Assume a high level of personal responsibility for the progress of all students, • Create academically rigorous and culturally relevant lesson plans, materials, and assessments, and differentiate as needed, • Execute specially designed lesson plans that are guided by clear objectives, focus on conceptual understanding, and are assessed routinely for student mastery, • Teach engaging, rigorous, and relevant lessons daily, • Communicate effectively with all stakeholders, including scholars, families, and staff, • Commit to a school culture of consistency by implementing school-wide systems, structures, and procedures while reflecting on one’s own implicit biases, • Reflect on various data sources to improve your practice, • Take on a proactive role in creating a positive, structured, results-oriented, and fun school that supports the needs of students of various abilities and experiences, • Collaborate with colleagues to create, implement, and refine schoolwide and classroom-based systems, routines, and procedures, • Ensure that classroom time is utilized through sound management practices and by developing strong and trusting relationships with students, • Develop, implement, and/or manage individualized behavioral intervention plans to support students in meeting established academic and non-academic goals, • Actively participate in opportunities to strengthen their own pedagogical skills as well as contribute to the learning of colleagues, • Contribute to the school’s smooth and efficient operation by fulfilling required administrative duties and responsibilities and maintaining open and proactive communication with colleaguesSkills, Qualifications, and/or Competencies Required:, • Dedicated to working in communities that have historically been underserved and under-resourced, • Committed to thoughtfully engaging in identity work necessary to take a culturally responsive approach to pedagogy and relationship-building with students and colleagues, • You possess an exceptional level of patience and focus to overcome challenges and achieve results, • Strong classroom management skills: you can set high expectations in the classroom and keep scholars engaged, • Classroom presence: you are clear and precise when sharing new content with students and can effectively lead students through inquiry-based class discussions, • Detail-oriented, and highly organized, • Bachelor’s degree required, Master’s Degree in Education, preferred, • New York State Teaching Certification requiredBenefits & Compensation, • Employees at Challenge Preparatory Charter School are provided with a generous salary. Our salaries are highly competitive, set through a lens of equity, and based on an individual’s skills and experiences relevant to the role., • As a regular full-time employee of Challenge Prep, you will be eligible for medical, dental, vision, life insurance, and a 403(b) retirement benefit package with match and Paid Family Leave., • We also offer flexible spending accounts for health, dependent care, and transit., • Flexible and reflective leadership: dedicated to staff development, team cohesion, and shared responsibility for decision-making, development, and team-wide priorities, • Driven and passionate colleagues who contribute to a professional and collaborative work environment, • Opportunities to sit on various committees and participate in initiatives central to key organizational decisions and strategic planning

Job Description Does getting in on the ground floor as an initial stakeholder, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands, to millions of dollars, that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. The need role is for a data-savvy individual to join the Data Science team as the first Data Analyst, on the team. This person will create consumer-focused research content and support user-centric product development and growth based on real-time feed of data sets and data points. Our ideal candidate is a sharp, thoughtful problem solver, who enjoys identifying key business levers and challenges, and then building analytical frameworks with under to impact strategic decision making. Will use big data and machine learning to help clients make decisions in a completely unprecedented way. The responsibility of the Data Analyst will be to decipher the data to find the insights and patterns that matter the most. KEY RESPONSIBILITIES · Interpret data, analyze results using statistical techniques and provide ongoing reports · Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality · Acquire data from primary or secondary data sources and maintain databases/data systems by working with the data procurement team · Identify, analyze, and interpret trends or patterns in complex data sets · Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems · Write SQL/Hive/Spark queries to extract necessary data and present the information in a data visualization platform such as Tableau. Datorama, DOMO or similar to generate business insights. · Proactively perform data exploration on user behavior to discover future testing opportunities. · Work collaboratively with a cross-functional team (Product, Marketing & Engineering) to solve complex business/product/marketing problems. · Create and manage business/operational dashboards to monitor business line performance. QUALIFICATIONS · Proven working experience as a data analyst or business data analyst · Technical expertise regarding data models, database design development, data mining and segmentation techniques · Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) · Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) · BS in Mathematics, Economics, Computer Science, Information Management or Statistics · Bachelor’s degree in a quantitative field · You have extensive experience using SQL and Tableau, Looker or similar is a Plus. · You understand experimentation, hypothesis testing, and causal inference · Experience in Deep Learning and Machine Learning algorithms is a plus It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. The Medical Affairs mission is to continually improve and expand our care delivery programs, practices and outcomes as we build precision mental health care for our customers. We are seeking a qualified Senior Program Manager, Clinical Product, to join our Medical Affairs team. The role will be responsible for serving as a clinical lead with a larger product team to build member and provider experiences that drive world-class reliable clinical outcomes while ensuring the appropriate clinical safety of our product. This role will be a full-time employee and report to the Senior Manager of Clinical Product. What you'll be doing: • Drive Spring Health's clinical product development across the organization with a broad view of clinical efficacy and safety across the entire care journey, • Collaborate effectively and efficiently with the Quality, Provider Operations, Speciality Care, Clinical Services, Data Science and Product teams in building improved clinical product capabilities with member and provider experiences., • Project manage cross-functional tasks and deadlines required to successfully meet internal and client timelines; proactively escalate risks to leadership, • Monitor and evolve our clinical KPIs and programs with the intention of building end-to-end programs or standing-up initiatives to improve safety and clinical outcomes that drive the best member experience in the most impactful and scalable ways, • Serve as the clinical representative in AI product development, helping teams design and evaluate models and features that are safe, clinically appropriate, and patient-centered., • Review and assess AI use cases, prototypes, and outputs for clinical accuracy, relevance, and potential risk., • Provide feedback on human-in-the-loop systems, escalation protocols, and mitigation strategies for ensuring safe AI products., • Facilitate the integration of new clinical programs into our core products for members and providers, • Work closely with data science to build reporting capability to track and action key product actions to assess product effectiveness and clinical outcomes, • Collaborate with clinical teams across the organization to ensure product builds are aligned with best practices and legal requirements, • Ensure clinical product response support meets assigned product team request timelines 90% of the time, • Build clinical safety tooling to ensure AI bad outcomes are <1%, • Be a licensed mental health provider with 5+ years of independently licensed with a masters or PhD level license in a mental health field (LPC/LMHC, LSW, PhD/PsyD), • You have 5+ years of cross-functional experience in a high-growth startup and/or healthcare systems, • Experience in engaging product teams in building clinical care product, • Proven experience coordinating complex, cross-functional initiatives with multiple stakeholders, • Data-driven with demonstrated skills in interpreting clinical data to drive decision-making, • You are a self-starter who thrives when given autonomy, with proven ability and a desire to build effective internal and external relationships, • Strong understanding of AI systems, associated risks in healthcare, and best practices for AI safety, fairness, and transparency., • Exceptional communication, facilitation, and stakeholder management skills, with experience engaging clinicians, engineers, product managers, and executives., • You obsess about achieving your goals and are relentless in pursuing them, • You value levity, humility, collaboration and deriving fulfillment from success achieved through the work you accomplish with others, • Experience in the digital mental health ecosystem space is preferred, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job Description About The Team Our client is a venture-backed start-up that is revolutionizing the way the world interacts with cryptocurrency. Crypto assets remain largely inaccessible to most consumers, and they're changing that. The mission is to build a bridge between the rapidly changing digital asset ecosystem and the traditional financial institutions that power the world’s payments. The team is building a seamless application layer that allows users to access the “long-tail” of digital assets that are currently only available to crypto-natives. The founding team has years of experience at some of the leading crypto firms, and they have successfully launched a number of on and off-ramps globally. About the Role We are looking for a Software Engineer to commercialize the MVP and expand the engineering team. The ideal candidate is looking for a “player-coach” position - you will be engaged across the product and engineering teams, owning the technical stack and technical development. You will be working on interesting challenges in varied spaces, including payments, identity, and digital asset trading. Blockchain experience is not required but its a plus. Responsibilities: Own the technical stack and lead deployment of our MVP Architect the platform according to product specs to scale with future functionality Integrate with industry-leading payments and blockchain APIs Supervise system infrastructure to ensure security and reliability Assist our efforts to recruit and onboard additional engineering talent Provide mentorship and guidance to less senior members of the engineering team Assist the management team in estimating the time and cost of feature builds for product roadmap planning Requirements 5+ years of professional software development 3+ years of experience programming in Python / React / Postgres Knowledge of Celery / Redis / Fast API a plus Knowledge of technological trends for system design and architecture Experience with testing frameworks and test-driven development Experience building a product from 0 to 1 Leadership abilities and strategic thinking Experience building in fintech; knowledge of blockchain technology a plus Degree in Computer Science, Engineering or a related field Bennies Competitive salary. You can even take it in fiat. Strong equity compensation - you are getting in at the ground floor. Phenomenal networking - you’ll be interacting directly with decision-makers in some of the highest-profile companies in both crypto and payments. Employer contribution towards health coverage (including vision & dental) - we want everybody to be healthy and happy while they change the world with us. Work remote, or work with us in either New York City or San Francisco. WeWork All Access memberships provided to all. The founding team is always on the go, hopping from conference to conference. We’d love to have you join us on the road! The founders believe strongly in meritocracy and treating our team with respect and dignity. We work hard to establish clear boundaries and work-life balance for our teammates. Please apply and join this amazing journey!

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers. What you'll do • Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS), • Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning, • Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion, • Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes, • Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python, • Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations, • Utilize EPM Automate alongside Python or batch scripting for complex job scheduling, • Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments, • Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applicationsWhat we're looking for, • 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise, • Bachelor's degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field, • Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM, • Proficiency in SQL and Python with a proven track record of automating financial processes, • Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers, • Exceptional ability to bridge the gap between technical data architecture and functional financial insights, • Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT, • Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment, • Experience leveraging AI tools to transform static workflows into responsive, high-output processesWhile not required, these are a plus: When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $120,000.00 USD to $130,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityThe vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components., • Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making., • Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages., • Work in collaboration with various teams, in particular the experimental materials science team., • Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs., • At least 3 years of research experience in AI, with a proven track record of designing agentic systems., • Familiarity with large-scale model training., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Domain knowledge of materials and/or molecules., • Familiarity with large-scale model training., • Experience with LLM engineering., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We are looking for a Senior Product Manager to lead our acquisition and activation strategy, with a particular focus on care continuity for higher-acuity members. Reporting to the Senior Director of Product, Member Growth, you will operate at the intersection of growth strategy, clinical care models, and product execution, shaping how Spring Health scales program impact through data-driven iteration, experimentation, and system-level thinking. Please note that this is a hybrid role based in New York City, with an expectation to be in office 2-3 days a week. Our office is located at 60 Madison Avenue. What you'll be doing: • Contribute to our mission to eliminate every barrier to mental healthcare for our members., • Define and own growth KPIs for acquisition and activation, ensuring metrics reflect both business outcomes and clinical intent., • Identify, prioritize, and test growth levers across the member journey, with a focus on acquisition and activation for higher-acuity members., • Build and maintain a continuous experimentation roadmap, partnering with data, design, engineering, data science, marketing, and clinical teams to rapidly design ethical, clinically sound tests that drive measurable impact., • Organize cross-functional teams to ship, measure, and iterate on member-facing experiences and internal workflows that remove friction from care engagement., • Use qualitative insights, behavioral data, and experimentation results to continuously refine strategy and prioritization., • Conduct market analysis to identify and apply new techniques to reach and engage members across a wide range of populations., • Autonomously leverage data to inform product decisions, measure effectiveness, and iterate., • Develop high-quality documentation & artifacts to ensure clarity for cross-functional partners and stakeholders., • Meet or exceed targets for utilization and revenue for Specialty Care., • A clear, data-informed growth roadmap that aligns clinical priorities with measurable engagement and retention improvements., • Foster a team culture of high-velocity experimentation and continuous improvement., • Cross-functional teams are aligned on what growth means and how it's measured., • 5+ years of consumer-facing product management experience, with a track record of driving user growth., • Strong analytical skills and experience with data-driven decision making., • Expert-level experimentation skills, including hypothesis generation, A/B testing, results analysis, and iterative development., • Experience working with cross-channel customer marketing platforms and A/B testing tools., • Exceptional communication, organizational, and collaboration skills., • Passion for mental health and a commitment to improving access to care., • Healthcare / health tech or benefits tech experience, • Hypergrowth start-up experience, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Agentic AI Research * PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning * Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) * Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior * Knowledge Graph Research * PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration * Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning * Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions * Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $278,400 - $317,700 for Distinguished Applied Researcher Cambridge, MA: $306,300 - $349,500 for Distinguished Applied Researcher McLean, VA: $306,300 - $349,500 for Distinguished Applied Researcher New York, NY: $334,100 - $381,300 for Distinguished Applied Researcher San Francisco, CA: $334,100 - $381,300 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Create is hiring an Analytics Lead to help build and scale our analytics foundation from the ground up. This will be our first analytics hire, working closely with the Head of Data to design data models, build self-service analytical frameworks, and turn messy questions into clear, trusted insights. This role is ideal for a strong generalist who can do hands-on Analytics Engineering work and partner with the business on measurement, analysis, and decision-making. You’ll have a pivotal role in shaping how analytics works at Create, from dbt models to Omni dashboards to how teams ask and answer questions with data. What You'll Do: Analytics Engineering & Data Modeling • Design and build clean, DRY, & documented dimensional data models using dbt, • Implement best practices around testing, documentation, and model organization, • Build analytics tables, metrics, and dashboards in Omni that enable self-service, • Apply strong data product thinking: design datasets and dashboards that are intuitive, reliable, and reusable, • Partner with stakeholders to define metrics, measurement approaches, and success criteria, • Perform deep-dive analyses to uncover insights and inform decisions, • Translate ambiguous business questions into structured analytical approaches, • Own stakeholder relationships, acting as a trusted analytics partner, • Proactively identify gaps, opportunities, and improvements in our analytics stack, • Teach and enable teammates to better use data, dashboards, and metrics, • 3-6+ years working in analytics, analytics engineering, data engineering, or data science, • Strong experience with data modeling and analytics engineering (dbt experience strongly preferred), • Advanced SQL skills, including query optimization and working with large datasets, • Hands-on experience with at least one modern BI tool (Omni or Looker experience is a big plus), • Working knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Familiarity with the modern ELT/ETL landscape and data tooling, • Strong analytical intuition — you know how to measure things that actually matter, • Comfortable operating with ambiguity and building from a blank slate, • Clear communicator who enjoys teaching and enabling others, • Competitive compensation including salary and equity, • Fully-paid health, dental, and vision insurance, • Downtown Manhattan office (4 days in office), with flexible work setup and 15 days of PTO Why You'll Love Working Here: At Create Wellness, we're building a category-defining wellness brand that helps people feel their best every day. You'll join a small, high-output team where your work will have immediate and visible impact. We move quickly, expect a lot from ourselves and each other, and have fun while doing it.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. You'll create predictive models and workflows to match patients with the best-fit therapists and peers, and enable clinicians to tailor care to each client's individual needs. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment. If you care about using data-driven insights to improve outcomes, this team is for you. Responsibilities • Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact, • Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams, • Pioneer new approaches to measure and validate outcomes impact through advanced experimentation and causal inference techniques, • Utilize ML infrastructure to serve model inferences in real time using live data streams, • Write production code within a backend Python monolith to invoke ML predictions., • A bachelor's degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models; OR, • A master's or doctorate degree in a technical field, plus 2+ years of professional experience developing and delivering production software, including machine learning models., • Expertise in Python for ML (pandas, sklearn, etc.) and backend server development (FastAPI), • Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets, • Experience developing agentic AI workflows is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $170,000-$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description JOB TITLE: Integrations Engineer REPORTS TO: AVP of IT Services DEPARTMENT: Development Hours: Full Time- Temporary3-6-month engagement ABOUT HEALTHIX: Healthix is a leading regional Health Information Exchange (HIE) and a key part of a nationwide movement to improve healthcare through secure, timely access to actionable data. As one of the largest public HIEs in the country, Healthix connects hundreds of healthcare organizations across thousands of locations throughout New York City and Long Island, enabling the secure exchange of clinical information for millions of individuals. Healthix provides real-time, 24/7 access to comprehensive patient data—delivered in accordance with patient consent and New York State Department of Health regulations—to support more informed clinical decision-making. As the organization continues its transformation, Healthix is advancing beyond data delivery to operationalize health information, empowering providers, health plans, researchers, and community partners to improve care coordination, enhance population health outcomes, and drive greater efficiency across the healthcare ecosystem. Through innovation, strategic partnerships, and a commitment to community impact, Healthix plays a critical role in strengthening healthcare delivery, supporting value-based care, and improving health outcomes across the region. POSITION SUMMARY The Integration Engineer is responsible for the design, development, and support of data integration solutions within the InterSystems HealthShare platform. This role focuses on enabling the exchange, transformation, and optimization of clinical and operational data across multiple systems. The Integration Engineer brings strong technical expertise in healthcare data standards, interface development, and the software development lifecycle, and is able to independently design solutions, develop interfaces, and produce clear technical documentation. Key Responsibilities • Design, develop, and maintain bi-directional integrations between HealthShare and external systems (EHRs, certified applications, and partner platforms), • Build and support interfaces using HL7 v2, HIE, XML, JSON, and batch file processing, • Develop and maintain REST and SOAP web services, • Develop and manage data mappings and transformations across diverse data formats, • Analyze integration requirements and produce clear technical specifications and documentation, • Develop and execute test plans, scripts, and validation processes to ensure data integrity, • Monitor, troubleshoot, and optimize interface performance and data quality, • Partner with internal teams and external stakeholders to deliver integration solutions, • Develop advanced SQL queries and support reporting needs, • Ensure compliance with SDLC best practices, data governance, and security standards TECHNICAL SKILLS & TOOLS Programming & Technologies: • ObjectScript, SQL, .NET (C#), Python, • JavaScript frameworks (Node.js, Vue.js; Angular a plus), • REST and SOAP APIs, • XML, JSON, XSLT Tools & Platforms: • InterSystems HealthShare / Ensemble (strongly preferred), • VS Code, Visual Studio, Studio, • Postman, SSMS, SQL DataLens, • Git / SVN, • Linux/Unix tools (e.g., PuTTY) QUALIFICATIONS • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience), • 5+ years of experience in software development and system integration, • Hands-on experience with healthcare integration, including HL7 v2 (ADT and clinical messages), • Experience with CCD/C-CDA document exchange, • Strong understanding of interface engine workflows and data exchange architectures, • Experience with file parsing and transformation (XML, XSLT, etc.), • Familiarity with X12 transactions is a plus, • Knowledge of object-oriented programming principles preferred, • Strong analytical, problem-solving, and communication skills

Job Description About JWX (former JWP Connatix): JWX's mission is to provide technology that empowers media businesses to connect their content with consumers across every platform. We help publishers transform content into multi-format experiences, reach audiences wherever attention moves, and strengthen monetization in a fragmented landscape. As part of the broader ecosystem, JWX also supports streaming companies and advertisers with solutions built for how modern media is distributed and consumed. • Our video players are embedded directly on publisher sites, including Accuweather, Axel Springer, Dotdash Meredith, McClatchy, Penske Media Co., and more., • We work with leading brands and agencies including American Express, Citi, Dentsu, Mars, UM, and more helping them target ads against our publishers' video content. Specific duties include: • Own technical relationships with publishers and partners across the full customer lifecycle, • Drive pre-sales technical conversations, demos, and discovery sessions, • Communicate platform business value to technical and non-technical stakeholders, • Lead technical scoping, design, and implementation planning for custom integrations, • Develop and present tailored solutions for publisher integrations, • Guide and mentor junior Solutions Engineering team members, • Provide product expertise, education, and consultative guidance to publishers and internal teams, • Support RFI/RFP processes with technical requirement responses, • Monitor competitive video technology landscape and position solutions accordingly, • Translate publisher needs into Product and Engineering feedback to influence roadmap, • Build and maintain internal revenue operations tools and automation systems, • Designing custom implementation strategies, creating technical documentation, and leading integration planning for large-scale publisher deployments, • Implementing and troubleshooting video player APIs, custom event handling, and browser-based video delivery systems, • Leading technical competitive assessments, and architecting proof-of-concept solutions to win enterprise client evaluations against competing video platforms;, • Building and maintaining ongoing technical partnerships with senior engineering teams and technical decision-makers to ensure successful platform adoption and long-term client success. Check out our website and social channels: JWX LinkedIn Instagram X We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, and/or disability status.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond. What you'll do • Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets, • Design and own data architecture for large-scale projects while managing operational trade-offs, • Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains, • Define and manage Service Level Agreements (SLAs) for all owned data sets, • Implement data security models, ensure privacy compliance, and evolve data governance processes, • Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data, • Maintain production processes by optimizing complex code using advanced algorithmic concepts, • Streamline data artifact development by optimizing pipelines, dashboards, and frameworks, • Mentor team members through actionable feedback to foster collective skill growth, • Maintain flexibility with availability during evening hoursWhat we're looking for, • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, • master's degree is preferred, • 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud, • 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems, • Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt, • Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres, • Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines, • Ability to deliver high standards of code quality, system reliability, and performance, • Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments, • Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNSWhile not required, these are a plus:, • Experience with Spark and PySpark When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Qrypt’s mission is to protect the world’s data and restore privacy. Qrypt hardens cybersecurity and future-proofs encryption against quantum attacks by eliminating key transmission. Qrypt’s unique technology independently generates symmetric keys at multiple endpoints for critical workflows today. We are a passionate team of engineers, physicists, and cryptographers committed to transforming the way the world safeguards data and communications! We are seeking an experienced Software Engineering Manager to lead a team of approximately six software engineers. This role requires a strong hands-on technical leader who can balance people management, project delivery and active participation in software development. You will continually increase your teams’ performance by removing obstacles, iteratively improving process, and nurturing cross-functional agile teams. The ideal candidate is technically deep, an effective communicator and comfortable representing the software engineering team in client-facing discussions. This is a NYC/hybrid role with frequent travel to the NYC office. What you'll do: • Divide your time between 50% management & 50% technical contribution, • Partner with product and sales to execute a dynamic product roadmap, • Manage, mentor and develop a team of software engineers, fostering a high-performance and collaborative culture, • Own project planning, execution and delivery for the team’s work, • Lead from a technical perspective, providing direction and oversight of the design, development, and deployment of secure, scalable cloud native microservices, • Write code, working with technologies and tools such as Rust, Azure, AWS, React, Docker and more, • Drive a modern agile software development process, • Guide technical decision-making, architecture discussions and design reviews, • Participate in client meetings to provide technical briefings, project updates and solution discussions What you'll need:, • 3+ years leadership experience (manager/tech-lead/etc.), 10+ years software engineering experience, • Degree in Computer Science, Software Engineering, or a similar domain, • Experience delivering cloud-native microservices with agile development processes, • Experience deploying software to production and maintaining high availability, • Excellent written and verbal communication skills, including presentations and executive briefings, • Familiarity with AI enabled workflows, • Comfortable briefing clients and external stakeholders, • PLUS: TS/SCI or Secret ClearanceTech Stack, • Rust, C/C++, Bazel, SQLite, • React, Typescript, • AWS, Azure, strongSwan/IPsec, DockerBenefits & Perks, • Competitive Pay & Equity, • Excellent healthcare coverage, • Strong 401K matching program, • Gym Reimbursement The annual base pay range for this role is $190,000 - $240,000. The actual base salary pay offered may vary based on multiple factors such as qualifications, experience, transferable skills, level of education, and other factors permitted by law. Please note that this salary information is solely for candidates hired to perform work in this location and refers to the amount Qrypt is willing to pay at the time of this posting. The range listed is just one component of Qrypt's total compensation package. 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 DescriptionDescriptionOverview This role is a hybrid role and requires work onsite in the NYC office three days a week. NYPL Digital's Quality Assurance team is in the middle of a meaningful shift from manual testing to an embedded quality engineering model where QA engineers work alongside product teams as active technical contributors throughout the development process. We are looking for a QA Engineer II who takes ownership of quality outcomes on their team, drives work forward with initiative and independence, and builds the automated test coverage that lets NYPL's engineers ship with confidence. This is a hands-on, project-level engineering role. Your primary output is automated tests. You'll be embedded on a cross-functional product team and responsible for understanding the quality landscape of your product area including where the risks are, where the coverage gaps are, and what to do about both. You'll collaborate closely with engineers, designers, product managers, and project managers as a quality partner from the very start of a project. We are looking for someone we can count on to:Own: • Automated test coverage for their team's product area, • Test strategy for assigned projects from kickoff through delivery, • The quality picture their team is working with: where the risks are, where the gaps are, and what the plan is to close them, • Health and reliability of their team's test suite, • Quality learnings from incidents, i.e. translating blameless postmortem findings into follow-up test coverage and process improvementsTeach:, • Shift-left practices to engineers on their embedded team, • Automated testing techniques including UI automation, API testing, accessibility testing, etc., • How to write and review tests well, through pairing and code review, • How to incorporate AI-assisted tools into testing and development workflowsLearn:, • NYPL's digital product landscape and the specific technical context of their team, • Testing tools and frameworks in use across the organization, • How to navigate cross-functional collaboration effectively in a large, complex organizationImprove:, • Automation coverage depth across their team's product area, • Test reliability — reducing flakiness and improving signal quality, • How quality work gets planned and prioritized within their team's sprint cycle, • The team's shared quality practices over timeSome expectations for this role are that within:1 month, this person will:, • Onboard to the team's codebase, CI/CD pipeline, and existing test suite, • Understand the current state of test coverage and where the significant gaps are, • Attend all sprint ceremonies and contribute to team discussions, • Establish working relationships with engineers, designers, product manager, and project manager on their team3 months, this person will:, • Contribute automated tests aligned to the team's highest-priority work, • Review engineering PRs with a quality lens and create follow-up tickets for coverage gaps, • Proactively think ahead about upcoming work and collaboratively align on testing priorities with their team, • Have a documented picture of coverage gaps and a shared plan for closing them6 months and beyond, this person will:, • Own the test strategy for their team's product area, • Engage at the start of projects, e.g., reading requirements, reviewing designs, and flagging risks before code is written, • Demonstrate consistent shift-left behaviors and serve as a quality thought partner in technical discussionsResponsibilities, • Write and maintain automated tests as primary output including UI tests (e.g., Playwright) and API and backend tests (e.g., pytest), • Design comprehensive test strategies for assigned projects, from kickoff through delivery, • Identify automation coverage gaps, document them clearly, and work collaboratively with engineers to close them, • Review engineering PRs with a quality lens; flag test coverage gaps and create follow-up tickets, • Independently debug and resolve test failures — distinguishing flaky tests, environment issues, and genuine bugs, • Read product requirements and review designs at project kickoff; flag risks early and begin drafting test cases before code is written, • Invest in planning: think ahead about upcoming work, proactively align on testing priorities with engineers and PMs, and come to sprint ceremonies with a clear point of view on what quality work the team needs next, • Communicate clearly and proactively when critical test failures block deployments or when issues are identified in production, • Participate actively in incident response; contribute a quality and testing perspective to blameless postmortems and translate findings into follow-up automation or coverage work, • Mentor other QA engineers through code review, pairing, and knowledge sharing, • Bachelor's degree in Computer Science, Software Engineering, or related field, • OR - 3+ years of equivalent experienceRequired Experience, • 3 - 5 years of professional software testing or software engineering experience, with a focus on automated testingRequired Skills, • Expertise writing and maintaining automated tests, including UI automation (e.g., Playwright) and API or backend testing (e.g., pytest), • Expertise to design test strategies for projects of moderate complexity, • Leverage AI-enabled tools to improve test design, accelerate defect triage, streamline repetitive QA tasks, and increase team efficiency., • Experience identifying, documenting, and working to close test coverage gaps, • Comfortable reading code and independently debugging test failures, • Active code review participation, i.e., both giving and receiving substantive feedback, • Strong communication skills for technical and cross-functional collaboration, • A track record of driving work forward independently — identifying what needs to happen next and making it happen, • Demonstrated shift-left instincts: engaging early, flagging risks proactively, and contributing to quality upstream of development, • Comfortable working within CI/CD pipelines, i.e., understanding how tests run in automation, diagnosing pipeline failures, and keeping builds healthyManagerial/Supervisory Responsibilities, • Be Helpful to patrons and colleagues, • Be Resourceful in solving problems, • Be Curious in all aspects of your workPhysical Duties, • Limited physical effort is required., • May require travel within NYC.Physical Required?, • NoUnion/Non Union, • Non UnionSchedule, • Hybrid Work Schedule; requires three days onsite in NYC