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Job DescriptionOur Company Arch is a Series B financial technology company that automates the management of private investments, improving access, understanding, and the human experience of investing across asset classes. Private investments such as venture capital, hedge funds, and private equity, make up roughly 25% of the investment universe. Traditionally, investors, advisors, banks, families, and managers track hundreds of investments in complicated spreadsheets, file folders, and busy inboxes. Not only is this tedious and time-consuming, but it is rife with opportunity for manual data entry errors, inconsistent reporting, and lost information. Enter, Arch. Arch delivers standardized data, documents, and insights in a single platform, avoiding the need to chase information across dozens or hundreds of ‘portals’. Our purpose is to save investors’ time while empowering them to make more informed investment decisions, leading to better financial outcomes. We are a fast-growing, dynamic team of 200+, serving over 400 clients, including several of America’s largest banks, families, and financial institutions. We’ve over doubled the size of the company every year since inception and we are looking to hire in all departments as we scale. The Role As a Software Engineer, you’ll help develop and scale core components of our platform. Your work will support the automation of complex processes, the launch of new product offerings, and the growth of our infrastructure. This is an important role, as your contributions will directly enable technology that could power trillions in investments and drive meaningful impact for our clients. You’ll collaborate closely with fellow engineers, product managers, and other team members to deliver solutions that make a difference in our clients’ investment processes. Your responsibilities will include: * Work with cross-functional teams (product, design, operations, infrastructure) to build and improve application features. * Contribute to both user-facing interfaces and backend services using modern frameworks and technologies. * Help develop reusable software components and APIs that connect front-end and back-end systems. * Write clean, efficient, and reliable code, and learn how to optimize for performance and scalability. * Participate in code reviews and learn best practices from peers and senior engineers. * Assist in designing and implementing systems that are scalable and maintainable across the stack. * Troubleshoot and fix issues across front-end, APIs, and databases. * Gain experience working with multiple programming languages, frameworks, and databases. * Take responsibility for assigned tasks and features, developing an end-to-end understanding of how they work. Reach out to us if you have: * 2+ years of programming experience * Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience or a PhD in a technical field. * Experience building maintainable and testable code bases A Note about us: All of our full-time roles are based onsite at our New York City office, where our team thrives on in-person collaboration and dynamic teamwork. Being onsite daily enables us to build strong connections, collaborate effectively to solve challenges, and foster an engaging environment focused on shipping product and delivering exceptional service to our clients. We encourage applicants currently located in or willing to relocate to the NYC area to join us in this exciting, hands-on workspace. Some perks of working for Arch include: * Strong Team - You’ll be backed by a strong team that consistently exceeds client expectations and ships new products quickly. * Your work is high impact - Being part of a small team means you have real responsibility and impact from day one. You'll be involved in discussions that drive the growth and direction of our platform from the very beginning. * Product Market Fit - We have strong product market fit, exceptionally low churn, and have grown mostly organically through word of mouth. * Team community and camaraderie - We have enormous trust in each other and always do what we can do to support one another. We're always ready to step in to help. * Great office - we’ve invested in a great space for the Arch team to come together, at 18th and Park in Manhattan (the old Buzzfeed / NYT headquarters). * Lunch is on Us - Grab lunch on us while you’re in the office and take a break to laugh, brainstorm, or just hang out with your teammates over a meal. Compensation Range: $100K - $180K

PhD with at least five years of wet lab research experience in a related field. The College of Dental Medicine invites candidates to apply for a position as Postdoctoral Research Scientist in the Regenerative Engineering Laboratory under the direction of Dr. CDCR contains over 4000-sq feet of space

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

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. 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 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. 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 Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We're already trusted by leading enterprises and developers with over $5T under management with Boosted.ai. From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation. Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We're looking for sharp, low-ego people to help teams find their edge. Why is Boosted.ai the best place to work? • Our product is used every day by investors at the world's largest financial institutions and most popular investment platforms, • We're scaling quickly. We have ramped roughly 5× over the past year and growth is accelerating, • We've built a culture people actively want to be part of. Many of our strongest applicants come from firms that already use Boosted.ai Boosted.ai is seeking a highly motivated and results-driven Senior Software Engineer to play a pivotal role in designing and building advanced software solutions that empower organizations. Working closely with senior members of Boosted.ai's engineering and management teams, the ideal candidate will excel at developing scalable, high-performance systems to support our cutting-edge analytics platform. As part of a dynamic and collaborative engineering team, this role requires someone excited by tackling complex challenges, strategizing innovative approaches, and delivering robust, impactful solutions. You will thrive in a fast-paced environment, owning projects from ideation to implementation, writing clean and maintainable code, and contributing to our ambitious growth goals. The ideal candidate is a results-oriented engineer with a strong technical foundation, outstanding problem-solving skills, and a history of delivering high-quality software. You will be responsible for leading key initiatives, mentoring junior developers, and collaborating cross-functionally to scale our platform and deliver value to clients. If you are a highly motivated, entrepreneurial self-starter with a natural curiosity and a passion for technology – we'd love to chat! What You'll Do • Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions., • Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems., • Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges., • Work with large datasets, ensuring efficient processing, manipulation, and analysis., • Contribute to architectural decisions, proposing and implementing innovative solutions to technical problems., • Mentor and guide junior team members to promote growth and knowledge sharing within the engineering team., • Continuously evaluate and integrate emerging technologies to improve system performance and scalability., • Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field., • 3+ years of professional programming experience, with a strong focus on Python., • Solid understanding of data structures, algorithms, and their applications., • Experience building and optimizing distributed, scalable systems and high-performance applications., • Proficiency in working with large-scale datasets and implementing solutions for efficient data processing., • Strong problem-solving skills with the ability to make quick, thoughtful decisions in a fast-paced environment., • Excellent communication skills with a proven ability to collaborate effectively in a team-oriented environment. We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do. • Collaborative – We value our team and know that success can only come from working together, • Client Centric – Our focus is always on our clients and consistently delivering them value, • Action Oriented – We remove barriers and we seek to improve in measurable ways, • Accountable – We are accountable for ourselves, and we hold each other accountable We want our benefits to reflect our values and offer the following to full-time employees: • Flexible (Unlimited) Paid Time Off, • Medical, Dental, and Vision benefits for you and your family, • Life Insurance and Disability Benefits, • Access to a 401(k) retirement savings plan (for U.S. employees), • Paid Parental Leave, • Free access to use Boosted.ai Alfa™ to make money Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Job DescriptionAbout NationMind LLC: NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Architect to join our growing team. Job Title: Senior AI Architect Location: New Jersey (NJ) / Remote Employment Type: Full-Time Key Responsibilities • Design, build, and deploy robust ML/AI models for applications in drug discovery, clinical trials, bioinformatics, and operational excellence., • Architect and implement scalable AI/ML platforms and solution frameworks across cloud and hybrid environments., • Develop and maintain high-performance data pipelines to process large volumes of structured and unstructured scientific and clinical data., • Translate complex scientific and business problems into practical AI/ML solution designs., • Evaluate, select, and implement state-of-the-art algorithms including deep learning, NLP, computer vision, and generative AI., • Lead model lifecycle management including training, validation, deployment, monitoring, and continuous improvement., • Optimize and productionize ML models with focus on performance, scalability, explainability, and regulatory compliance., • Establish AI architecture standards, best practices, and governance frameworks., • Guide and mentor AI/ML teams; conduct design reviews and technical oversight., • Collaborate cross-functionally with data science, engineering, clinical, and product teams., • Bachelors or Masters degree in Computer Science, AI/ML, Data Science, Bioinformatics, or related field (PhD preferred)., • 8+ years of experience in AI/ML engineering with architecture or technical leadership responsibilities., • Strong hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)., • Proven experience designing and deploying production-grade AI/ML systems., • Expertise in data engineering and pipeline design for large-scale datasets., • Experience with NLP, deep learning, and generative AI techniques., • Strong programming skills in Python and related AI ecosystem tools., • Experience with cloud platforms such as AWS, Azure, or GCP., • Knowledge of MLOps, CI/CD, model monitoring, and versioning practices., • Excellent problem-solving and architectural design skills. Flexible work from home options available.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency. Responsibilities: • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures., • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators., • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption., • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry., • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products., • Work closely with other software and hardware engineers to develop the next generation of deep learning software., • 10+ years of experience developing software for a variety of highly parallel architectures., • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs., • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity., • Understanding of Deep Learning fundamentals., • Strong development skills in C/C++, Python., • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority., • Computer Science, Engineering, or related degree; preferably MS or PhD., • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job DescriptionCompany Description Columbia University's Pre-College Programs offer high-achieving high school students the opportunity to engage in exploratory coursework at the college level, studying alongside peers from around the world. This highly selective program is open to students entering grades 9 and through the summer following their senior year. Job Description Columbia University’s Pre-College Programs for high school students is seeking qualified candidates to develop and teach on-campus courses during Summer ’26. Reporting to the Senior Director of Instruction and Curriculum for Pre-College Programs, Pre-College instructors develop and deliver immersive non-credit courses for high-achieving high school students. They guide and supervise students when classes are in session, and write a holistic evaluation of each course participant after classes conclude. For more information on the program–including course sessions and times–please see here. Course Description Designed for aspiring physicists and mathematicians, students will delve into the powerful mathematical tools essential for understanding and solving complex physical problems. Students will develop an understanding of these methods by learning to model, analyze, conduct theoretical investigations and interpret physical phenomena. Through engaging lectures, hands-on problem-solving, and interactive projects, participants will gain proficiency in applying concepts to real-world scenarios. Emphasis will be placed on developing critical thinking skills and intuition to tackle challenges encountered in theoretical and experimental physics. This course provides a valuable head start for those planning to pursue studies in physics, engineering, mathematics, or related fields at the collegiate level. Prerequisite: One year of high school algebra and one year of high school physics. Calculus is recommended but not required. Course Schedule Session A: June 29 - July 17 -- 9:10 - 11:00am & 1:10 - 3:00pm Please note: Course(s) and course availability are subject to change. All times shown are Eastern Time (ET). Dates and class times are tentative and subject to change. Responsibilities: * Develop course content, syllabus, lesson plans, and assigned work, in accordance with Pre-College templates and regulations * Lead and attend all class sessions, including escorting students to and from campus for field trips * Establish and maintain a dynamic in-class environment tailored for our high school population * Evaluate student work and write a holistic evaluation of each participant after the course ends * Monitor and address student concerns and inquiries (typical class size is 20-24 students) * Attend and complete all required online trainings Qualifications • Graduate degree or equivalent professional or academic background, • Expertise in the pertinent subject matter, • Aptitude for teaching Additional Information Hiring Salary Range Session A (Campus, 3 Week): $7,000 - $9,000 • Please note your availability to teach the Session A schedule (as well as any information regarding your suitability for the role) in the Message to Hiring Manager field. Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available) * Applicants must have U.S. work authorization and will need to be in the U.S. while teaching * Columbia Affiliates: There may be restrictions when hiring individuals who hold a concurrent appointment at Columbia University during the Summer term. Generally, PhD students and Officers of Research are not eligible. Please check with us during the hiring process regarding your eligibility. Please note, Pre-College courses do not count towards the maximum course loads for adjuncts. * Once hired, applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and Pre-College Program All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job Description About the Job: CTLGroup is looking for a recent graduate, Building Envelope Associate, for multiple offices (Chicago, New York, Atlanta), who will focus on both new construction and existing building projects. This role combines technical knowledge, communication, and field work for a wide range of new and existing construction projects. The person will collaborate closely with architects, contractors, and internal teams to design and deliver high-performance, code-compliant exterior enclosure systems. Take the opportunity to learn more about the service at CTLGroup. We are passionate about our work and the talented individuals and team that get to learn and deliver complex projects on a regular basis. Key Responsibilities: • Work in all aspects of the building sciences, which include repair and restoration projects for existing buildings and new construction projects. Also includes exposure to assessing building mechanical systems, fire-resistant materials, and computer modeling for building energy use, embodied carbon, and the likelihood of condensation., • Field review and other contract administrative duties as required., • Forensic inspections of existing buildings to diagnose failures or determine the condition of various building envelope systems., • Assist with construction monitoring, field investigations, condition assessments, construction observations, project drafting, structural design and analysis, and site inspections., • Assist with research of new products and systems as needed for the servicing or portfolio of projects., • Assist with writing reports related to field work and research., • Computer-aided analysis of building envelope details and performance (training will be provided)., • Assisting with the preparation of bid specifications, drawings, and sketches., • Internal roles in the ongoing development of our technical standards and design tools., • Ability to use Python (or other programming language) or an AI-based tool to simplify a repeatable task is an asset., • Drawing and specification review for new construction projects., • Review of submittals and shop drawings during construction., • Implementation and adherence of CTLGroup’s quality assurance programs to ensure that services meet CTLGroup’s standards and our client's expectations., • Assist with the development and delivery of in-house and eventually client education and training programs., • Bachelor’s degree in engineering or architecture, Architectural Engineering, Building Science, Structural Engineering, or a related field; master’s or PhD an asset., • Must have a working knowledge and ability to use programs such as Microsoft Word, Excel, PowerPoint, and Bluebeam (or another PDF mark-up tool)., • Excellent communication skills, both verbal and written., • Ability to manage multiple tasks, priorities, and deliverables on an ongoing basis., • Must be willing to work at heights, including climbing ladders and working on a swing stage., • A valid driver's license is required for all locations., • Access to a vehicle is required for Chicago and Atlanta locations., • EIT designation is an asset., • Basic knowledge of exterior wall systems, construction assemblies, and industry codes is an asset., • Ability to use Python (or other programming language) or an AI-based tool to simplify a repeatable task is an asset., • Combination of office, laboratory, and field settings. We are CTLGroup, a team of engineers, architects, scientists, and consultants who are seasoned technical experts possessing unparalleled experience, knowledge, and testing proficiency in structures and materials. Our integrated team is backed by one of the most sophisticated commercial structural and building materials laboratories in the United States. Whether providing technical consultation, conducting laboratory studies, performing failure investigations, or offering expert testimony, we aim to solve our clients' problems and assist in achieving their objectives. Beyond delivering mere data, our team provides a foundation of confidence upon which our clients can build. *This job description describes the general nature of the position. The above declarations are not intended to be a complete list of responsibilities, skills and abilities required to do the job.CTLGroup 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.

Role Overview Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive

Perform calculations and learn to perform engineering analyses; learn geotechnical engineering software;. Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, co

What You’ll Do** - Write and refine prompts to guide model behavior in engineering scenarios - Evaluate LLM-generated responses to engineering-related queries for technical accuracy, applied reasoning, and completeness - Conduct fact-checking and verify any technical claims using autho

Geotechnical Engineering Intern. In the role of Geotechnical Engineering Intern, we'll count on you to:. Enrolled in a civil, environmental, or related engineering field.

Actively enrolled in an accredited Geotechnical Engineering, Civil Engineering, or related, Masters or PhD program with an anticipated graduation date of August 2026 or later. Actively enrolled in an accredited Geotechnical Engineering, Civil Engineering, or related, Undergraduate program with an an

Pursuing a Bachelor's Degree in Civil Engineering at a College/University, or pursuing a degree in a related field with relevance to Civil Engineering, ideally with goal of pursuing a career in Geotechnical Engineering. Geotechnical engineering (residential and/or commercial/industrial/office site d

Mechanical Engineering, Chemical Engineering, or a related scientific field. Excellent opportunity to get hands-on engineering and lab experience with a company that has customers in the Fortune 500. We are looking for a Mechanical or Chemical Engineering student who finds their flow in the "scienti

Pursuing a Bachelor's Degree in Civil Engineering at a College/University, or pursuing a degree in a related field with relevance to Civil Engineering, ideally with goal of pursuing a career in Geotechnical Engineering. Geotechnical engineering (residential and/or commercial/industrial/office site d

Perform calculations and learn to perform engineering analyses; learn geotechnical engineering software;. Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, co

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Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash