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Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered agent for This role offers hands-on experience with cutting-edge Small language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Small Language Models (SLMs):, • Understanding and working with lightweight models such as Phi-3 (Microsoft), Llama(Meta), Mistral (Mistral), Gemma (Google), and TinyLlama (for resource-constrained environments)., • Design Phase:, • Requirements Gathering: Using Figma for UI/UX design and workflow planning., • Data Analysis: Utilizing Jupyter Notebooks and pandas for data exploration, cleaning, and analysis., • Model Selection: Leveraging Hugging Face Model Hub to compare, select, and download pre-trained models., • Development Framework:, • Core Framework: Building SLM-powered applications using LangChain or Lanngraph for orchestration and workflow management., • Model Serving: Deploying models locally with Ollama or at scale with vLLM for efficient inference., • Vector Database: Implementing semantic search and retrieval-augmented generation (RAG) using ChromaDB., • API Framework: Developing RESTful APIs with FastAPI (Python) or Express.js (Node.js) to expose model functionality, • Development Tools:, • IDE: Coding in VS Code, ideally with Python and Copilot extensions for productivity., • Model Fine-tuning: Customizing models using Hugging Face Transformers and parameter-efficient fine-tuning (PEFT) methods like LoRA/QLoRA., • Prompt Engineering: Managing and optimizing prompts with LangSmith or PromptLayer., • Version Control: Tracking code and data changes with Git and DVC (Data Version Control)., • Experiment Tracking: Logging experiments, metrics, and results with MLflow or Weights & Biases., • Testing Stack:, • Unit Testing: Writing and running tests using pytest or unittest to ensure code correctness., • Model Evaluation: Assessing model performance with RAGAS (for RAG pipelines) and DeepEval., • Load Testing: Simulating high-traffic scenarios using Locust or Apache JMeter., • Quality Assurance: Using LangChain Evaluators and custom metrics to ensure output quality and reliability., • Deployment Stack:, • Containerization: Packaging applications with Docker or Docker Compose for portability and reproducibility., • Orchestration: Managing and scaling containers with Kubernetes (K8s) or Docker Swarm., • Model Optimization: Accelerating inference and reducing resource usage with ONNX Runtime, OpenVINO, or llama.cpp., • API Gateway: Managing and securing APIs with Apigee., • Observability: Monitoring application and model performance with LangSmith., • CI/CD: Automating build, test, and deployment pipelines with GitHub Actions or GitLab CI., • Infrastructure Options:, • On-Premise: Deploying solutions on local servers with GPU or CPU resources., • Cloud: Utilizing GCP (Vertex AI) for scalable, managed AI infrastructure., • Hybrid: Integrating edge devices for local inference with cloud backup for resilience and scalability., • Environments vary by intership function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionOrganization Overview Vertex Partnership Academies is a public charter International Baccalaureate World High School with a classical core in the heart of the Bronx. Our mission is to provide students with pathways for upward mobility while preparing them for the responsibilities of self-governance in a democratic republic. Everything we do is rooted in the four cardinal virtues: courage, justice, temperance, and wisdom. Our Lower Academy curriculum is designed to teach timeless truths in pursuit of the good, the true, and the beautiful. All students train in the seven classical liberal arts of the Trivium and Quadrivium, with explicit instruction and practice of logic, grammar, and rhetoric, choose between Spanish and Latin, and trace the development of the Western Tradition. Our Upper Academy provides students with rich options equal in rigor and stature: a Humanities-focused pathway with AP courses, or three different International Baccalaureate Career-related Programme pathways: Biomedical Science, Computer Science and Cybersecurity, and Montessori Early Childhood Education, all of which have real-world partners and result in an industry credential. At Vertex, our students have agency. Each day, they make choices about the kind of people they want to become, the lives they want to lead, and the society they want to build. It’s our sacred duty to equip them with the knowledge most worth having, to sharpen their critical thinking, and to create a space where they grapple with diverse viewpoints, express cogent arguments, and engage in democratic discourse. . Responsibilities • Craft and execute lessons that give students the knowledge most worth having and build transferable skills and conceptual understandings., • Implement our academy-wide pastoral systems with fidelity., • Implement the Data Inquiry Cycle and embody the ACE Habits of Mind., • Build caring relationships of respect and rapport with students and staff., • Ensure all assessments support ongoing learning and provide timely, relevant, and appropriate feedback to students., • Contribute positively to the collaborative culture of the academic team and Vertex staff., • Enthusiastically participate and contribute thoughtfully in professional development., • Participate in community-based projects and school field trips., • Proactively communicate with families about student learning., • Supervise students’ individual Personal Projects, Extended Essays, and service requirements. Required • A bachelor's degree, • A deep, abiding belief in the infinite potential of our students, • An expansive sense of your own agency Physical Requirements This role may require lifting and carrying items weighing up to 20 pounds unassisted, including assisting coworkers when needed. Requires frequent bending, reaching, repetitive hand movements, standing, walking, squatting, sitting, and looking at a computer screen for long periods at a time. Compensation The salary range for this position is $67,000-$105,000, offer will be commensurate with the candidate’s years of experience and credentials. As an employee, you are eligible for a benefits package, inclusive of paid time off, paid holidays, and a retirement plan. EEO Statement Vertex Partnership Academies provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment; including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training. Powered by JazzHR 9RLiKCi9J1

Job DescriptionSalary: $60,000 - $75,000/year Marketing Coordinator Vertex Hospitality Group New York City Metropolitan Area (On-site) Location: Flushing, Queens, NY |Pay:$60,000 - $75,000/year | On-site | Bilingual Preferred (Mandarin/Chinese) About the Role: We are currently seeking a Marketing Coordinator to support the Vertex Hospitality Group, Marketing Team. Vertex Hospitality Group consists of a diverse portfolio of restaurant brands including KPOT, Hook & Reel, Ugly Dumpling, and Kinya Ramen. The role will work on all of the aforementioned brands, as well as special projects as we build and diversify our portfolio. This role is responsible for helping create, implement, and analyze marketing strategies to reach the target audience, build brand awareness and achieve marketing goals. The Marketing Coordinator will identify and manage local partnerships surrounding each of our restaurants. Building these relationships will be key as we enter into new markets and grow existing relationships within the surrounding area. You will work closely with Corporate Marketing, Franchise Partners and Operations to help bring the brand strategy to life in each respective market, ensuring we are building brand awareness, and driving traffic/sales through in-restaurant experiences, third party or catering. You must be a collaborative and energetic relationship builder with a strategic mindset, passion for detail and execution. You will play a critical role with Local Store Marketing in new markets and building community relationships; unlocking VHGs next chapter of growth. The Marketing Coordinator will be a creative thinker with a proactive hands-on approach to their work. Tech savvy and digitally aware. Culturally competent with excellent communication skills. Perfect for someone who knows the local landscape, enjoys connecting with community organizations and businesses, and has a passion for grassroots marketing Key Responsibilities: • Identify and establish partnerships with local businesses, organizations, and events to drive traffic and sales., • Plan, schedule, and track local offerings and partnerships., • Seek out and evaluate hyper-local advertising opportunities., • Represent the brand at local events or meetings when needed., • Maintain a log of all partnership contacts, activations, and performance metrics., • Collaborate with internal teams to support marketing campaigns and initiatives., • Conduct research on industry trends, target audience preferences, and competitor activities to gather insights that inform marketing strategies., • Assist with managing and maintaining the company's social media profiles, engage with followers, and schedule posts to increase brand visibility and engagement., • Support email marketing campaigns by preparing and sending marketing emails, tracking performance metrics, and maintaining email lists., • Contribute to maintaining a consistent brand identity by adhering to brand guidelines and assisting with design tasks., • Perform administrative duties, such as organizing marketing materials, managing marketing calendars, and maintaining marketing databases., • Ensure hugely impactful and successful New Market Openings within the region., • Analyze program performance and business data to identify best practices and learnings, and then translate findings into actionable plans., • Other duties as required. Qualifications: • 2+ years of experience in hospitality, field marketing, community outreach, partnerships, or related roles, • Strong local market knowledge and connections are a major plus, • Excellent communication and relationship-building skills, • Self-starter with the ability to work independently and manage time effectively, • Comfortable working in a fast-paced, target-driven environment, • Familiarity with promo tracking and basic marketing metrics, • Advanced knowledge of Microsoft Office Suite, • Ability to create & execute marketing and business plans tailored to numerous territories., • Ability to travel up independently across the Tri-State Preferred Qualifications: • Bilingual in Mandarin, • Experience working within the Hospitality industry, small businesses, non-profits, or community groups, • Previous work in event-based marketing or regional activations, • Experience using Meta, Google, Canva, and basic CRM tools Benefits • 401(k), • Dental insurance, • Employee discount, • Health insurance, • Paid time off, • Vision insurance

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: We are seeking a motivated AI Engineering intern to support the development and implementation of an AI-powered deep research agent for This role offers hands-on experience with cutting-edge large language models, cloud infrastructure, and enterprise software development. Primary Duties/Responsibilities: • Large Language Models (LLMs):, • Understanding and working with commercial/proprietary LLMs such as Gemini( Google), GPT(OpenAI) and Claude Sonnet (Anthropic)for high performance, large context, and multimodal tasks., • Familiarity with open-source/self-hosted LLMs like Llama from Meta and Mixtral from (Mistral AI)., • Design & Planning Phase:, • Requirements Gathering: Using Confluence for documentation and collaboration., • Architecture Design: Creating system diagrams and workflows with Lucidchart., • Prototyping: Designing UI/UX prototypes in Figma., • Project Management: Tracking tasks and progress in Jira., • Data Preparation & Management: Cleaning, transforming, and organizing data for use in AI/ML workflows., • Development Framework & Tools:, • Core LLM Frameworks: Using LangChain or LlamaIndex for orchestrating LLM applications., • Agent Frameworks: Building multi-agent systems with Semantic Kernel, CrewAI, and LangGraph., • Prompt Management: Managing and optimizing prompts with LangSmith., • Vector Databases & Search:, • Implementing semantic search and retrieval using Vertex AI Vector DBs, • Backend Development:, • API Framework: Developing RESTful APIs with FastAPI (Python)., • Message Queue: Integrating asynchronous communication with Apache Kafka and Redis Streams., • Frontend Development:, • Web Framework: Building user interfaces with React or Angular., • UI Components: Utilizing Material-UI for consistent, modern UI elements., • IDE: Using Google AI Studio for AI application development., • Development Tools:, • IDE: Writing and debugging code in VS Code., • AI Assistants: Leveraging GitHub Copilot and Cursor for code suggestions and productivity., • Version ControlManaging code with GitHub, or GitLab., • Code Quality: Ensuring code quality and standards with SonarQube, ESLint, and Pylint., • Model Fine-tuning & Customization:, • Fine-tuning Platforms: Using Vertex AI Tuning for model customization., • Training Frameworks: Training and experimenting with models in PyTorch, TensorFlow, or JAX., • Efficient Training: Applying parameter-efficient fine-tuning (PEFT) methods like LoRA and QLoRA., • Synthetic Data: Generating synthetic data., • Evaluation: Assessing models with HELM, lm-evaluation-harness, and custom benchmarks., • Testing Stack:, • LLM-Specific Testing: Using RAGAS, and DeepEval for LLM evaluation; LangSmith Evaluators for prompt testing; hallucination detection., • Deployment & Infrastructure:, • Containerization: Packaging applications with Docker., • Orchestration: Managing containers at scale with Kubernetes and Google GKE., • Cloud Platforms:, • Using Google Cloud Platform (GCP) services such as Vertex AI for ML, GKE for Kubernetes, Cloud Run for serverless deployment, and Cloud Functions for event-driven tasks., • LLM-Specific Monitoring:, • LLM Observability: Monitoring LLM performance and usage with LangSmith and Weights & Biases., • Cost Tracking: Monitoring and optimizing costs with OpenMeter and custom dashboards., • Quality Monitoring: Setting up continuous evaluation pipelines to ensure model quality and reliability., • Environments vary by internship function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • Working towards a PhD degree and you have in AI/ML/Computer Science., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Job DescriptionSalary: $75,000 - $100,000/year Company Overview NRG Adventure Park -- Where Everyday Fun, Meets Extreme Adventure! NRG is the ULTIMATE destination where families and friends ignite their eNeRGy in an EXTREME way. Our indoor playground takes fun to the next level. Summary We are seeking a Regional Manager (RM) to oversee the daily operations, financial performance, and team development across multiple NRG Family Entertainment Centers (35,00080,000 sq. ft. facilities). Each center includes soft play areas, trampolines, arcades, freedom gaming, and caf operations. The RM is responsible for ensuring exceptional guest experiences, operational consistency, compliance with safety standards, and profitability across all assigned locations. Duties & Responsibilities Primary responsibilities include, but are not limited to the following: • Provide leadership and operational oversight for all centers in the assigned region., • Ensure facilities deliver a safe, clean, and fun environment for all guests., • Maintain consistent brand standards across soft play, trampoline, arcade, gaming, and caf operations., • Partner with General Managers (GMs) and Managing Partners (MPs) to execute company initiatives and meet KPIs., • Monitor P&L performance and identify opportunities to increase revenue and control costs., • Drive financial accountability at the site level, including labor, inventory, and expense management., • Support sales growth through marketing initiatives, group sales, and community engagement., • People Leadership & Development, • Recruit, coach, and develop General Managers and management teams., • Build a strong leadership pipeline and maintain positive team culture., • Conduct regular site visits to assess leadership effectiveness, training, and operational readiness., • Ensure compliance with all HR policies, labor laws, and company standards., • Oversee safety protocols for attractions including trampolines, arcades, and play structures., • Ensure compliance with local, state, and federal regulations., • Monitor maintenance programs to keep facilities and equipment in top working condition., • Travel regularly within the assigned region (estimated 75% of the time)., • Provide regular reporting on operational performance, guest satisfaction, and business trends to senior leadership., • Additional responsibilities as assigned. Essential Functions • Bachelors degree in Business, Hospitality, or related field (preferred)., • 5+ years of multi-unit management experience, ideally in family entertainment, hospitality, or high-volume retail/restaurant., • Strong financial acumen with P&L management experience., • Proven ability to lead, motivate, and develop teams across multiple locations., • Excellent organizational, communication, and problem-solving skills., • Willingness to travel extensively within the assigned region., • Bilingual Mandarin required. Job Type: Full-time Travel: 50% Benefits: • 401(k), • Dental insurance, • Flexible spending account, • Health insurance, • Paid time off Language: • Mandarin (Required)

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Software Engineer to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day. Duties & Responsibilities Solution Vision & Architecture • Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems, • Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability, • Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks, • Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring, • Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently, • Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency, • Develop and maintain a library of "Prompt Blueprints" and best practices for AI implementation across the organization, • Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems, • Coach and support adjacent teams on AI development methodologies and emerging best practicesQualifications Required • Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience, • 7+ years of professional software development experience, • 5+ years of hands-on experience building integrations using APIs between applications, • 5+ years working with source control and continuous integration tools (such as GitLab), • Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js), • Experience with frequent, incremental code testing and deployment practices, • Master's degree in Computer Science, Data Science, or related field, • Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch, • Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI), • Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow orchestration is a plus, • Experience designing and optimizing prompts for generative AI models, • Track record mentoring or coaching other developers on technical practices Additional Information Compensation Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range. Benefit Highlights • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts, • Location: New York, NY | Hybrid (3 days/week in-office), • Schedule: 3 days per week in-office in accordance with Uncommon Schools policy, • On-call availability: You'll be on-call for data infrastructure emergencies, • Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours, • Travel: Minimal travel, including quarterly school visits and routine local travel within the region As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job DescriptionOrganization Overview Vertex Partnership Academies is a public charter International Baccalaureate World High School with a classical core in the heart of the Bronx. Our mission is to provide students with pathways for upward mobility while preparing them for the responsibilities of self-governance in a democratic republic. Everything we do is rooted in the four cardinal virtues: courage, justice, temperance, and wisdom. Our Lower Academy curriculum is designed to teach timeless truths in pursuit of the good, the true, and the beautiful. All students train in the seven classical liberal arts of the Trivium and Quadrivium, with explicit instruction and practice of logic, grammar, and rhetoric, choose between Spanish and Latin, and trace the development of the Western Tradition. Our Upper Academy provides students with rich options equal in rigor and stature: a Humanities-focused pathway with AP courses, or three different International Baccalaureate Career-related Programme pathways: Biomedical Science, Computer Science and Cybersecurity, and Montessori Early Childhood Education, all of which have real-world partners and result in an industry credential. At Vertex, our students have agency. Each day, they make choices about the kind of people they want to become, the lives they want to lead, and the society they want to build. It’s our sacred duty to equip them with the knowledge most worth having, to sharpen their critical thinking, and to create a space where they grapple with diverse viewpoints, express cogent arguments, and engage in democratic discourse. . Responsibilities • Craft and execute lessons that give students the knowledge most worth having and build transferable skills and conceptual understandings., • Implement our academy-wide pastoral systems with fidelity., • Implement the Data Inquiry Cycle and embody the ACE Habits of Mind., • Build caring relationships of respect and rapport with students and staff., • Ensure all assessments support ongoing learning and provide timely, relevant, and appropriate feedback to students., • Contribute positively to the collaborative culture of the academic team and Vertex staff., • Enthusiastically participate and contribute thoughtfully in professional development., • Participate in community-based projects and school field trips., • Proactively communicate with families about student learning., • Supervise students’ individual Personal Projects, Extended Essays, and service requirements. Required • A bachelor's degree, • A deep, abiding belief in the infinite potential of our students, • An expansive sense of your own agency Physical Requirements This role may require lifting and carrying items weighing up to 20 pounds unassisted, including assisting coworkers when needed. Requires frequent bending, reaching, repetitive hand movements, standing, walking, squatting, sitting, and looking at a computer screen for long periods at a time. Compensation The salary range for this position is $67,000-$105,000, offer will be commensurate with the candidate’s years of experience and credentials. As an employee, you are eligible for a benefits package, inclusive of paid time off, paid holidays, and a retirement plan. EEO Statement Vertex Partnership Academies provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment; including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training. Powered by JazzHR YDfleNw8xo

Job Description Senior Computer Vision & Spatial Geometry Engineer Location: New Yori, NY / Remote Duration: Full Time Role Overview We are building an automated system that converts scanned architectural floor plans (PDFs)—including NYC as-built condominium filings—into structured, coordinate-based spatial data suitable for 3D modeling and GIS workflows. This role focuses on reconstructing accurate geometry from raster scans, not extracting existing vectors and not training end-to-end black-box models. The core challenge is turning noisy, skewed, real-world blueprint scans into watertight room polygons with real-world coordinates. We are looking for a senior engineer who is strong in classical computer vision, computational geometry, and raster-to-vector reconstruction, and who enjoys solving hard, practical problems with deterministic and explainable systems. Key Responsibilities Geometry & Vision Pipeline • Design and implement a raster-to-geometry pipeline for scanned architectural PDFs, • Build robust preprocessing tools for:, • deskewing, • binarization, • noise reduction, • normalization of low-quality scans, • Isolate architectural linework (walls, boundaries) from:, • text, • dimensions, • symbols, • stamps and annotations, • Handle door gaps and broken boundaries to ensure enclosed, “watertight” regions, • Extract enclosed regions (rooms, corridors) using connected components and topology analysis, • Convert raster regions into clean polygon geometry, • contour extraction, • polygon simplification, • vertex snapping, • consistent winding and validity checks Spatial Accuracy & Scaling • Develop deterministic methods to convert pixel geometry into real-world X/Y coordinates, • Calibrate scale using:, • architectural dimension annotations, • scale notes when available, • Validate geometry numerically:, • closed polygons, • area consistency, • tolerance-based error detection Text & Semantic Integration • Integrate OCR outputs to:, • associate room labels with polygons, • parse dimension strings (feet/inches, metric), • extract height or ceiling notes, • Map semantic text to spatial geometry using proximity and containment logic Output & Integration • Produce structured JSON outputs aligned with downstream 3D/GIS systems, • Ensure outputs are explainable, debuggable, and consistent across floors and documents, • Build internal visualization/debugging tools (overlays, masks, polygon previews) What This Role Is Not • Not prompt engineering, • Not LLM application development, • Not training large end-to-end neural networks Required Technical Skills • 5+ years of experience in computer vision, image processing, or computational geometry, • Strong command of classical CV techniques, including:, • thresholding and morphology (dilate/erode/open/close), • edge and line detection (e.g., Hough transforms), • connected components and region analysis, • contour tracing and polygon simplification (e.g., Douglas–Peucker), • Solid understanding of planar geometry and numerical robustness, • Experience converting raster data into vector or polygon representations, • Strong Python skills (NumPy, OpenCV, scikit-image, etc.), • Comfortable debugging visually and iterating on messy real-world data Strongly Preferred • Experience with architectural drawings, floor plans, CAD, BIM, GIS, or maps, • Familiarity with OCR systems and bounding-box–based text extraction, • Experience parsing architectural dimensions (feet/inches or metric), • Experience validating polygon geometry (self-intersection, closure, area), • Prior work on document image analysis or technical drawings Nice to Have • Experience using pretrained segmentation models to supplement classical CV, • Exposure to GIS or BIM formats (GeoJSON, IFC, IMDF), • Knowledge of NYC as-built or Department of Buildings / Finance document conventions, • Experience building internal QA or visualization tools, • Familiarity with downstream 3D geometry pipelines

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