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Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Applied Generative AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. The Applied Generative AI course provides students with a comprehensive introduction to a branch of machine learning called generative modeling, focusing on the underlying concepts, theoretical techniques, and practical applications. Students will learn to use, fine-tune, and programmatically interface with high-level APIs and open-source foundational models, allowing them to leverage state-of-the-art tools in Generative AI. Additionally, the course delves into the theory and practice of low-level implementations, empowering students to train their own models on their own data and understand these models from first principles. The course covers various types of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers with their applications to text, image, audio, and video generation. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in an area related to Machine Learning, Computer Science, Applied Mathematics, or related field. * 3+ years of related applied professional experience. Preferred Skills & Experience * Programming experience in Python and experience with major deep learning frameworks such as PyTorch or TensorFlow. * Knowledge of deep learning architectures, such as CNNs, VAEs, GANs, and RNNs. * Experience with deploying code on cloud platforms such as AWS, GCP, or Azure. * Knowledge of Mathematics and Probability concepts used in machine learning, including * Optimization, Gradient Descent, Conditional Probability, Bayes Theorem, and Normal Distribution. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job Description $5,000 Signing Bonus!! We will provide you with a relocation stipend!! Role: Board Certified Behavior Analyst (BCBA) Location: You can work at one of our Georgia centers. We will provide you with a generous relocation stipend! Target Earnings: CS1: $94,000.00; CS2: $98,000; CS3: $102,000; Sr. CS-1: $107,000; Sr. CS-2: $115,000 Base Salaries: $90,000-$100,000; based on experience Schedule: Monday-Friday, 8:00 am - 5:00 pm About Apollo Behavior: Apollo Behavior is the premier provider of ABA therapy in metro Atlanta, and the largest ABA provider based in Georgia. We are focused on being the best, and have heavily incorporated relational frame theory into our clinical model. At Apollo, excellence is not an anecdote - we have a ~25% annual client graduation rate, and many of our clients enter mainstream educational settings. We embrace a servant leadership model and work hard every day to empower our team to do their best work and be their best selves. We are dedicated to ensuring that our team enjoys a fun, collaborative, non-bureaucratic culture and maintains a healthy work-life balance. To learn more, please visit our website at: Role: BCBA and Case Supervisor Apollo Behavior is looking for BCBAs for our center-focused applied behavior analysis services in the metro Atlanta area. This is a great opportunity for someone who wants to do great work with other excellent clinicians, be a part of a fun and collaborative culture, and maintain an ethical caseload and work/life balance. Your typical day might include: • Providing clinical consultation and overseeing treatment programming for our staff and clients, • Collaborating with parents or other caregivers to ensure client progress is sustained long-term, • Developing and leading other team members, • Learning about and implementing innovative ABA methods, such as Relational Frame Theory / RFT, • You are a leader who has passion and vision, • You value the opportunity to develop your clinical and managerial skills with mentorship provided by the leading minds within the ABA field, • You are an excellent clinician, a great manager, and a collaborator with client caretakers, • You love to see the results of your work improving the lives of your clients, • You love to lead and develop other clinicians so we can all ensure our clients achieve their full potential, • $5,000 Signing Bonus, • Relocation Reimbursement Assistance, • $1,500 CEU and Travel Reimbursement, plus three additional paid CEU days, • 19 Paid Days Off per year (including 9 paid holidays), • 2 WFH days per month, • Billable starting at 20 hours a week, • Comprehensive Health, Life, Vision, and Dental Insurance, • 401(k) with Company Match, • A master's degree in psychology or a related field, • Strong competency in a range of skill acquisition and behavior reduction techniques, • Success leading and managing direct care clinical team members

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Artificial Intelligence of Things (AIOT). An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies. Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related). * 2+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT). * Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization * Strong knowledge of AI fundamentals and experience with machine learning applications * Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos. Preferred Skills & Experience * University teaching or TA experience, especially in graduate or professional programs. * University teaching/TA experience in project-based or lab-based courses. * Proficiency with MicroPython for device programming * Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal * Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns. * Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent). Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks a data analytics professional to serve as a part-time Associate for a graduate-level course called Applied Analytics Frameworks & Methods I. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to data science, applied analytics, statistics, or another quantitative discipline., • Proficient in Python programming., • Knowledge of theories and practical application of machine learning., • University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, 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 million 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. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. 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 DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate level course on Mathematics for AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a couse section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to applied analytics, data science or another discipline which provided rigorous training in quantitative analytics Proficiency with programming Python in a Jupyter notebook * 3+ years of professional experience in a related area Preferred Skills & Experience • University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Managing Data. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. The Managing Data course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes and organizational prerequisites needed to overcome challenges to ensure data quality. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in an area related to data science, statistics, computer science or another discipline that provided rigorous training in quantitative analytics. * Knowledge of databases, topics in Big Data, and Data Analysis. * Knowledge in SQL and NoSQL databases. * 3+ years of related applied professional experience. Preferred Skills & Experience * Knowledge of MapReduce, Spark strongly desired. * Other software or programming languages like R, Python, Tableau * Statistical and Machine learning knowledge. * University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer. Salary range: $2,000 - $3,000 per semester long course

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate- level course in Financial Securities Analysis and Portfolio Management. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. Financial securities analysis and portfolio management is the study of analyzing information to evaluate financial securities and design investment strategies. Studying the subject can provide a foundation for students entering the fields of investment analysis or portfolio management. This course provides an intensive introduction to major topics in investments. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in Finance or a related field., • 3+ years of professional experience in a role involving financial securities analysis and portfolio management, • University teaching experience., • Experience applying Python to real-world financial securities and portfolio management problems., • Ability to mentor students and provide constructive feedback on analytical work. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate- level course in Analytics for Business Operations Management. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. This course teaches students how to apply analytical techniques to optimize operational decision- making, improve efficiency, and solve real-world challenges in operations management. Students will develop practical skills in topics such as process analysis, forecasting, queuing theory, simulation, optimization, inventory analysis, project management, supply chain management, and lean operations. The course integrates lectures and coding exercises to ensure a balance between conceptual learning and practical application across multiple industries. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • University teaching experience., • Experience applying Python to real-world operations management problems., • Ability to mentor students and provide constructive feedback on analytical work. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role Eight Sleep is looking for an experienced mobile Product Manager to join our growing Product team. The ideal candidate has shipped exceptional mobile products in high-growth start-ups, working closely with designers and engineers in fast-moving, squad-like teams. They are a power user of modern AI tools and leverage them daily to accelerate discovery, analysis, and execution. We want someone with deep product management roots, strong technical instincts, and a passion for health tech and wellness. In this role, you’ll collaborate with machine learning engineers, sleep science researchers, designers, and mobile engineers to build smart, AI-powered, autonomous experiences that help people achieve the best sleep biologically possible. You’ll balance a bold product vision with a sharp focus on user needs, ensuring every feature creates measurable impact for our members. As one of the early AI adopters in the sleep space, Eight Sleep is training models on the world’s largest sleep dataset to power groundbreaking features in our app - and expects every member of the product team to leverage AI tools daily to move faster and smarter. We prefer someone based out of our NYC HQ. What You'll Help Build * Partner with our product researchers to gather qualitative and quantitative customer research to deeply understand customer’s sleep needs and transform that into value-add user stories and product requirements * Work with complex data sets and to deliver seamless experiences around sleep and recovery * Write stories and sprint goals that clearly communicate key objectives. Develop, refine, prioritize and track implementation of requirements and new features * Conduct thorough QA on new app features, ensuring bug-free releases * Assess customer opportunities, prioritize initiatives, and make data and judgment driven trade-offs * Design and run A/B tests to learn about customer behavior, iterate, and optimize * Closely collaborate with and orchestrate efforts across functions and teams, including engineering, UX, analytics, research, and product marketing * Conceptualize, scope, define, and drive projects through the product life cycle * Communicate product details to senior management * Work cross-functionally with customer care and marketing teams to validate, launch, support, and monitor new features * Track and measure the success of each release, and feed those learnings back into the roadmap What You'll Need to Succeed * 3-5+ years of experience in mobile product management (experience with hardware IoT products a plus) * Proven track record shipping consumer-facing apps or services with high customer satisfaction * Experience working closely with designers, engineers, researchers, and product marketing * Demonstrated ability to leverage AI tools to increase velocity and quality in product development workflows * Relentless resourcefulness - ability to make big things happen with limited resources * Excellent communication and organizational skills, with attention to detail and prioritization in changing environments * Comfort innovating in complex, ambiguous situations * Genuine passion for sleep, wellness, technology, and connected devices Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: * Lunch in the office 5 days per week * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Please note: This role is open to applicants in the US. Compensation (salary and equity) listed is reflective of candidates based in New York, NY. Compensation Range: $140K - $200K

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role We’re looking for a Swiss army knife operator who can jump in and help us reach our next phase of growth. You will support the team with daily responsibilities and various ad hoc projects, enabling them to concentrate on strategic, high-impact efforts. We are seeking a diverse range of skill sets: creating clear, actionable project plans and memos, analyzing data sets, and tackling various ad hoc projects. What You'll Help Build * Itinerant project and program management on cross-functional initiatives * Data analysis/dashboarding/reporting * Strategic thinking based on data * Customer discovery and A/B testing * New business / product development and opportunity modeling What You'll Need to Succeed * 3-4 years of experience in consulting, banking, or startup business operations * Strong project management skills and ability to lead complex, cross-functional initiatives * Experience taking projects from 0-1 with little oversight and ability to articulate the why's and how's * Excellent analytical and problem-solving skills * Ability to synthesize complex information and data to inform decision-making * Data mindset * Hard-working and high-intensity * Exceptional communication and stakeholder management skills Please note that applications will not be reviewed if you do not meet this criteria. We also keep the Business Operations Manager as a posted role year-round and hire from this pool whenever we periodically identify a need for a generalist role. Given the "always hiring" nature of this role, you may not hear back from us initially. Why join Eight Sleep? Innovation in a Culture of Excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate Responsibility and Accelerated Career Growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with Exceptional Talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable Compensation and Continuous Equity Investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your Own Pod - and Other Great Benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits applicable to NYC applicants At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Job Description We are seeking a Quantitative Researcher with 3+ years of experience to join a Systematic Macro Portfolio Manager at Capula. This is a high-impact role that sits directly within the PM’s investment group, with a particular focus on systematic strategies involving credit indices (e.g., CDX, iTraxx) and credit ETFs. Key Responsibilities: • Develop and enhance models for relative value trading and alpha generation across credit indices and credit ETFs., • Analyse credit market dynamics, including spread behavior, roll-downs, and liquidity patterns., • Implement tools to support signal generation, factor decomposition, and portfolio risk attribution., • A high-impact role with direct visibility to the trading desk and influence on real-time decision-making., • An intellectually stimulating environment with a strong culture of collaboration and curiosity, where innovation and creativity are encouraged., • We are looking for individuals who thrive on intellectual challenges and enjoy applying their analytical skills to complex problems. You are curious, driven, and excited by the prospect of making a tangible impact in the world of quantitative finance., • Have graduated with a masters or PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field), • A consistently strong academic record, • Strong Maths foundations (probabilities, statistics, analysis, linear algebra) and solid Programming Skills, • At least 3 years’ experience in quantitative research or strategy development, ideally within credit or macro trading environments., • Solid understanding of credit index products (e.g. CDX, iTraxx), credit ETFs, and related market structure., • Advanced proficiency in Python and experience working with time series and financial market data., • Master’s or PhD in a quantitative field (e.g., statistics, physics, applied mathematics). Capula is committed to supporting all employees in developing their careers and delivering their best work. We offer a collaborative and high-performance environment where portfolio managers are empowered with resources, autonomy, and the opportunity to make a significant impact. Benefits include: • A highly competitive base salary and discretionary bonus structure, reviewed annually, • 20 days of paid annual leave, plus public holidays, • Comprehensive medical and dental insurance, along with other core employee benefits, • Exceptional training, mentoring, and staff development opportunities to support continuous professional growth, • Exposure to a flat and agile organisational structure, enabling greater ownership and decision-making responsibility, • Onsite breakfast, lunch, and dinner provided daily in our employee restaurant, • Access to a dynamic, intellectually engaging team with cross-asset collaboration and open communication

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through fourteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The Applied Analytics program is seeking data analytics professionals to serve as a part-time Associate for a graduate-level course called Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. Responsibilities • Attend all on-campus class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries, • Conduct office hours.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in Computer Science, Data Science, or a related field (Completing relevant coursework such as Deep Learning, Machine Learning, and Statistics courses)., • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch)., • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques., • Hands-on experience with deep learning projects and data manipulation., • Strong verbal and written skills for explaining concepts clearly., • University teaching experience in related subjects Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job Description • position follows a school schedule (day time hours/time off etc.)., • Conduct functional behavior assessments and develop behavior intervention plans, • Implement and monitor behavior intervention plans -Provide parent training sessions when needed remotely or during school hours • Provide training and supervision to other staff members within the district, • Collect and analyze data to evaluate the effectiveness of behavior intervention plans, • Collaborate with parents, caregivers, and other professionals to develop comprehensive treatment plans, • Stay up-to-date with the latest research and best practices in applied behavior analysis, • Maintain accurate and thorough documentation of client progress and treatment plans • Board Certification as a Behavior Analyst (BCBA), • Experience working with individuals with developmental disabilities, preferably children, • Strong knowledge of applied behavior analysis principles and techniques, • Familiarity with special education laws and regulations, • Excellent communication and interpersonal skills for working with patients, families, and team members, • Ability to collect and analyze data to inform treatment decisions, • Strong problem-solving skills and ability to adapt treatment plans as needed, • Commitment to providing high-quality care in a compassionate manner Note: This job description is intended to provide a general overview of the position. It is not an exhaustive list of all responsibilities, duties, qualifications, or requirements associated with the job. Job Types: Contract, Full-time Pay: $75.00 - $100.00 per hour Work Location: In person Company DescriptionFlourishing Minds provides Behavioral Consultation services to public school districts on Long Island, Westchester and Dutchess County. Staff are required to conduct Functional Behavioral Assessments, create and implement Behavior Intervention Plans, analyze data as needed, conduct professional development for staff, and parent training and counseling.Flourishing Minds provides Behavioral Consultation services to public school districts on Long Island, Westchester and Dutchess County. Staff are required to conduct Functional Behavioral Assessments, create and implement Behavior Intervention Plans, analyze data as needed, conduct professional development for staff, and parent training and counseling.