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Mem Global brings together Jewish young adults in their 20s and early 30s to build meaningful connections and experiences. Through a wide range of peer-led programs in over 25 countries, the organization creates opportunities for young adults to explore and shape Jewish life together. The Jewish Learning Collaborative (JLC), launched in 2021, helps professionals, lay leaders, and individuals engage with Jewish texts and ideas. The program matches learners with diverse educators for personalized sessions, using data and educational methods to support a growing network of participants, clergy, and teachers. Role overview The Jewish Learning Collaborative Learning Manager serves as a key connector across the JLC community. This position provides proactive, relationship-focused support to partner organizations, learners, and educators, ensuring each group has a smooth and positive experience. The Learning Manager acts as the operational and relational backbone for JLC, helping the department run efficiently. What you will do Collaborate closely with the Director of Learning to bring the vision for the learner and educator experience to life Manage relationships with partner learning organizations Drive learner recruitment in partnership with those organizations Support learners throughout their journey, from initial engagement to ongoing participation Contribute to the smooth operation of the department Locations This role is based at a Mem Global Hub Office in one of the following cities: New York City, Washington D.C., Charlotte, Chicago, or Encinitas.

POSITION OVERVIEWThe Events Manager is instrumental in propelling the mission of the Foundation for Jewish Camp (FJC) by spearheading the planning, coordination, and execution of the organization’s events and gatherings. This role guarantees that all events, including pivotal occasions such as the Leaders Assembly and various professional convenings, exemplify FJC’s commitment to excellence, creativity, and hospitality. The Events Manager directly manages a diverse array of significant FJC events while also providing support to teams throughout the organization in planning and executing additional programs and gatherings. By fostering robust systems, tools, and training, the Events Manager ensures that each FJC event, whether centrally coordinated or department-led, meets high standards for quality, warmth, and inclusivity, creating impactful experiences that capture the essence of Jewish camp. Collaborating closely with teams across the organization, as well as FJC’s development and operations teams, the Events Manager oversees logistics, contracts, vendor relationships, and budgets, ensuring smooth execution and alignment with organizational objectives.KEY RESPONSIBILITIESEvent Planning & Management• Utilize a deep understanding of FJC’s organizational priorities and departmental needs to identify which events will be directly managed by the Events Manager and which will receive staff guidance and oversight. Establish clear parameters for event ownership, coordination, and support to maintain consistency and efficiency throughout the organization.• Direct the planning and execution of FJC’s flagship events, including the biennial Leaders Assembly, ensuring all components, such as content, logistics, and participant experience, are coordinated with utmost excellence.• Manage event timelines, oversee vendor relationships, and coordinate with internal teams to ensure deadlines and objectives are met efficiently.• Oversee event budgets, encompassing revenue and expenses, ensuring fiscal accuracy and accountability.• Create and maintain FJC’s comprehensive calendar of events, programs, and activities, while monitoring partner organization calendars to prevent scheduling conflicts.• Act as the primary staff member for designated events, managing all logistical elements, including transportation, venue selection, hotel accommodations, catering, audio/visual needs, and speaker coordination.• Assist staff in executing events where this role is not the lead, providing consultation, resources, and oversight based on logistics and event management best practices.Systems & Process Development• Establish and enhance event planning processes and operational protocols to ensure consistency and efficiency across FJC events.• Develop budgetary guidelines and standard operating procedures for event planning, vendor management, and contract negotiations to streamline operations.

As a Senior Learning Program Manager at Stepful, you will spearhead the development and execution of innovative learning solutions aimed at enhancing educational outcomes for our clients. Your expertise will be integral in shaping our training strategies, ensuring they align with both client needs and industry standards. You will collaborate closely with cross-functional teams to deliver impactful learning experiences.

Join Our Team at RebarRebar is revolutionizing the operating systems used by commercial HVAC, electrical, and plumbing suppliers and subcontractors. In the past year, our initial quoting product has successfully scaled to processing thousands of quotes weekly, and we've doubled our revenue in 2026 while gaining traction among top suppliers across North America. Fresh from securing a $14M Series A investment from leading construction technology investors, we are poised for our next growth phase with AI at the core of our innovations.We are seeking a Principal Deep Learning Engineer who possesses a strong background in modern neural network techniques and proficiency in PyTorch. You will be instrumental in advancing computer vision applications in real-world settings. As part of a tight-knit, highly skilled team, you will focus on delivering practical, production-ready machine learning systems—from building data pipelines to developing finely-tuned models—within a dynamic startup environment.This position is ideal for individuals who thrive on working closely with models, refining training workflows, and tackling novel engineering challenges. Our work transcends mere model inference; we create training workflows, develop robust evaluation pipelines, and construct systems that enhance standard model usage.

Ignite Your Passion for EducationAre you eager to create a significant impact in the lives of students? At Zeta, we are committed to an exceptional blend of high academic achievement and social-emotional growth. Our mission is to ensure that every student receives a world-class education while developing a lifelong love for learning. We are dedicated to transforming public education in New York City and beyond, and we steadfastly adhere to our mission.We currently operate several elementary and middle schools across the Bronx, Upper Manhattan, and Queens, and we are expanding—opening 1-2 new schools each year because every child in every community deserves access to outstanding, equitable education. As part of our growth, we are excited to welcome our inaugural Zeta High School class of 9th graders in the 2026-27 school year, marking a pivotal moment in our journey to provide a comprehensive PreK-12 educational pathway. Join our dynamic team today and become a catalyst for change in children's lives.

Join Our Innovative TeamBecome a pivotal member of our team dedicated to creating the world's first biological reasoning model. Collaborate with us on groundbreaking generative foundational models that interpret biological systems across various scales—from molecular interactions to entire organisms—empowering us to predict, comprehend, and manipulate living systems like never before.Output is currently in stealth mode, driven by a team of seasoned founders and biotech experts who have successfully exited ventures in AI and biotechnology, supported by leading venture capital firms including Y Combinator.As a Machine Learning Engineer, you will partner with our founders and talented team members to innovate and deploy advanced AI solutions that facilitate intricate biological reasoning across diverse scales.Develop foundational models for biological systems capable of encoding and decoding biological data at scale.Create deep generative models tailored for biological applications, experimenting with innovative architectures to capture the complexities of multi-scale biological systems.Work on distributed training systems to scale our models to billions of parameters, focusing on performance and efficiency across multi-GPU and multi-node configurations while processing extensive biological datasets.Design efficient data pipelines to manage and process large biological datasets, tackling challenges in data loading, partitioning, and memory optimization.Establish and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits.

Democracy Prep Public Schools is seeking a dynamic and visionary Managing Director of Experiential Learning & Civic Engagement to lead our innovative programs aimed at enhancing student engagement and community involvement. This role is pivotal in shaping a transformative educational experience that integrates real-world learning with civic responsibility.

Role overview The Part-Time Learning Experience Facilitator at LifeLabs Learning works onsite in New York City. The position focuses on both developing new learning programs and delivering them to a range of audiences. What you will do Lead workshops for groups with varied backgrounds and experiences Encourage participation to foster an interactive, growth-oriented learning environment Help design and refine learning experiences About LifeLabs Learning LifeLabs Learning designs programs that support collaboration and professional development. The company values curiosity, inclusivity, and building practical skills.

About Our TeamThe Education team at OpenAI is dedicated to creating systems that transform ChatGPT into a powerful learning ally. As advancements in AI unfold rapidly, we aim to develop educational tools that empower individuals, educators, developers, and organizations to progress from curiosity to expertise with the aid of AI technologies.Our team operates at the crossroads of artificial intelligence, educational psychology, and large-scale platforms, building the foundation for AI-driven learning experiences worldwide.About the RoleWe are looking for a Learning Systems Engineer to join us in establishing the infrastructure that supports AI-enhanced educational experiences. This role integrates backend architecture, learning science, research, and product development.You will convert educational objectives into scalable systems: learner models, tracking progress, adaptive feedback mechanisms, formative assessments, and analytics that demonstrate effective learning outcomes.Your contributions will help millions globally learn efficiently and harness the full potential of AI.What You Will Work OnDevelop AI-Driven Learning Infrastructure: Create essential systems for AI education, including dynamic learning experiences, progress tracking, and assessments.Facilitate Adaptive Learning: Design capabilities that enable learning experiences to evolve according to learners’ knowledge, goals, and behaviors over time.Construct Data Systems for Insights: Develop data pipelines and analytical systems that help educators grasp learner outcomes, engagement trends, and skill advancement.Empower Educators: Create systems that allow non-technical users to design, configure, and experiment with learning experiences without needing direct engineering assistance.First 12 Months Success IndicatorsLaunch innovative AI learning experiences that cater to a diverse range of learners.Enhance infrastructure that enables educators to offer adaptive learning and assessments.Validate the learning analytics pipeline for deeper insights into AI-driven education.Enable education teams to leverage AI tools for scalable development and iteration.

Role Overview root-access is hiring a Machine Learning Engineer in New York City. This role works closely with the tech team to design and build machine learning algorithms that support and improve our products. The position involves hands-on development, data analysis, and delivering solutions that scale as our business grows. What You Will Do Develop machine learning models tailored to product needs Analyze complex data sets to extract insights and guide model improvements Create solutions that can scale to meet increasing demand Collaborate with engineers and product teams to integrate AI-driven features Who We’re Looking For Experience building and deploying machine learning algorithms Strong interest in artificial intelligence and its practical applications Ability to work with large, complex data sets Comfort working in a collaborative, evolving tech environment

Join Our Team as a Machine Learning Engineer! At FanDuel, we recognize that data is the lifeblood of our organization. As a Machine Learning Engineer, you will harness the power of our extensive real-time and relational datasets to drive insights that enhance user experiences. Your analytical skills will transform every interaction—from user clicks to game outcomes—into actionable intelligence, enabling us to make faster, more informed decisions that keep us ahead of the competition. Your role will be pivotal in fostering collaboration across teams. You will serve as the bridge between engineering teams, facilitating the development of our online applications while ensuring that essential data is available for feature engineering. Collaborating with Data Scientists and Analysts, you will help bring AI-driven insights into production and validate their effectiveness. Your efforts will be instrumental in organizing, modeling, and presenting data in a manner that provides a unified information structure, empowering FanDuel to respond intelligently to market dynamics and on-field events. If you are a Machine Learning Engineer with aspirations to thrive in a big data environment, we encourage you to apply! Your Responsibilities: Design and implement intelligent search systems incorporating typeahead search, vector search, and ML personalization to optimize user experience. Contribute to the creation of scalable serving systems for ML and GenAI/LLM models. Develop platform features and tools (e.g., CLI, SDK, Infrastructure Automation) that enhance the ML model lifecycle and GenAI/LLM application deployment. Utilize business intelligence tools such as Tableau, Knime, and Looker. Ensure data security and privacy compliance (e.g., GDPR, CPP). Implement data governance and testing frameworks. Support continuous integration and delivery of data products. Participate in an inclusive culture that prioritizes excellence, personal growth, and well-being.

At Garner Health, we are dedicated to revolutionizing the healthcare economy by making high-quality and affordable care accessible to all.We are fundamentally reimagining the healthcare landscape in the U.S. by collaborating with employers to redesign healthcare benefits using transparent incentives and powerful, data-driven insights. Our innovative approach directs employees toward higher-quality, lower-cost care, fostering a healthcare system that benefits everyone. This means improved health outcomes for patients, more effective spending of healthcare dollars for employers, and rewarding physicians for providing exceptional care rather than performing unnecessary procedures.Garner is recognized as one of the fastest-growing healthcare technology companies nationally. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are eager to make a significant impact on healthcare at scale.About the Role:We are on the lookout for an outstanding Staff Machine Learning Engineer to join our dynamic team. At Garner, our Engineering team addresses complex technical challenges that have a meaningful impact on our mission. Our systems analyze billions of medical records to evaluate healthcare providers nationwide. We operate on AWS with Kubernetes and consistently integrate new technologies as our system load grows exponentially each year. We encourage our engineers to advocate for cutting-edge industry practices as we wholeheartedly incorporate AI into every aspect of our operations and standards. We value teammates who take pride in delivering exceptional work and nurturing a robust team culture.Where You Will Work:This position is based in our New York City office located in the Financial District. Candidates must be available to work in the office three days a week: Tuesday, Wednesday, and Thursday.What You Will Do:Lead technical strategy and execution at the team level over multi-quarter time frames.Utilize AI to build, optimize, and maintain machine learning, data, and software systems.Elevate the technical capabilities of engineers throughout the organization.Collaborate across disciplines to deepen domain understanding and iterate on projects.Ensure user privacy and security through adherence to best practices.

OverviewAt OXMAN, a pioneering nature-focused research and design firm based in Manhattan, we leverage nature-centric solutions to tackle pressing challenges at the intersection of Nature and Humanity. Our interdisciplinary approach spans various sectors, fostering innovative concepts that redefine the interaction between the built environment and the natural ecosystem.Our initiative, EDEN, is dedicated to applied ecological systems operating on architectural, urban, and landscape scales. We are at the forefront of creating a digital design framework that engineers biodiverse and resilient ecosystems by developing software that empowers designers and engineers to incorporate essential ecosystem services—such as carbon sequestration, thermal buffering, and biodiversity—into their master planning and design processes. Our mission is to elevate ecosystem services from undervalued byproducts to vital infrastructure elements. We invite talented professionals to join us in revolutionizing the future of nature-centric design.We are currently seeking a Machine Learning Research Engineer to integrate into our dynamic design team in New York City. This role will be pivotal in supporting our efforts to deliver exceptional, data-driven design proposals utilizing EDEN’s innovative suite of ecosystem engineering tools.

About TennrAt Tennr, we are transforming the way healthcare referrals are managed. When patients are referred to specialists, they often face frustrating delays. Our innovative platform, powered by RaeLM™, ensures that every referral is processed swiftly and accurately, allowing healthcare providers to capture more referrals and reduce denials. Join us in revolutionizing the healthcare experience.About the RoleAs the pioneering ML Ops Engineer at Tennr, you will be instrumental in developing and refining our Machine Learning and AI infrastructure. You will be responsible for creating and optimizing machine learning training and inference pipelines that can manage escalating traffic demands and an expanding range of products. Your expertise will ensure that our AI-driven healthcare platform operates on robust, scalable, and efficiently deployed models.Our Machine Learning team is at the forefront of innovation, developing proprietary VLMs, LLMs, and other specialized models tailored to address critical healthcare challenges. This is not just a position of maintaining existing systems; it is an opportunity to lead groundbreaking experimentation and the introduction of new capabilities. Your contributions will significantly impact our ML and data systems, enhancing Tennr's ability to solve vital issues for patients and healthcare providers.Key ResponsibilitiesDesign, architect, and implement scalable ML software systems for model deployment and management.Maintain infrastructure that supports efficient ML operations, including data pipelines, model evaluations, and large-scale training.Work collaboratively with ML engineers, software developers, and cross-functional teams to integrate models seamlessly with data pipelines and products.Identify and resolve production issues while continuously enhancing system performance and efficiency.Develop tools for online and offline evaluation of ML and LLM systems.

About the Role qloo is looking for a Machine Learning Engineer focused on Large Language Models (LLMs) and personalization. This position is based in New York City. What You Will Do Design and build machine learning models to improve user experience and increase engagement. Work closely with teams across the company to implement advanced algorithms. Support data-driven decisions by contributing expertise in LLMs and personalization techniques. Collaboration This role involves frequent collaboration with cross-functional groups, including product and data teams.

About the Role Waymo is looking for a Senior Machine Learning Engineer focused on Prediction & Planning to join the System Architecture team. This position is based in Mountain View, CA, San Francisco, CA, or New York City, NY. What You Will Do Design and implement advanced machine learning algorithms for autonomous vehicle prediction and planning. Develop systems that improve the safety and efficiency of self-driving technology. Collaborate with engineers and researchers across teams to advance core capabilities in autonomous driving. Impact Your work will help shape the systems that guide Waymo’s vehicles, supporting safer and more reliable autonomous transportation.

Join Our Team as a Machine Learning Infrastructure EngineerAt Fauna Robotics, we are on the forefront of revolutionizing robotics through cutting-edge machine learning technologies. As a Machine Learning Infrastructure Engineer, you will play a pivotal role in constructing and enhancing the machine learning systems that drive our innovative robotic solutions. Your expertise will be essential in designing, managing, and optimizing the infrastructure required for training, evaluating, and deploying ML models that facilitate robot locomotion, perception, manipulation, navigation, and interaction with humans.This position is an exciting opportunity to work at the convergence of machine learning and systems engineering, ensuring that our ML training and deployment systems are resilient, efficient, and scalable as we transition from prototypes to fully functional production systems.

Trunk Tools seeks a Senior Machine Learning Engineer to join its team onsite in New York City. This role centers on creating and deploying models that drive the company’s main objectives. Working alongside colleagues from various backgrounds is a key part of the job. Responsibilities Design and build machine learning models for practical use cases Collaborate with cross-functional teams to gather requirements and deliver effective solutions Deploy models into production environments and monitor their scalability Work Location This position is based at the Trunk Tools headquarters in New York City. Regular onsite presence is required.

The City of New York seeks an E-Learning Developer to join its team in New York City. This position centers on creating interactive online learning modules that help advance educational goals throughout various city programs. Key Responsibilities Design and build engaging e-learning content for diverse audiences Work closely with stakeholders to identify and clarify learning objectives Develop interactive modules aimed at supporting measurable educational outcomes This role plays a part in shaping how city programs deliver education and training, ensuring content is accessible and effective for all participants.