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Job Description Dwight Summer Camp 2026 – STEM Specialist (Science, Technology, Engineering, and Mathematics) Are you ready to inspire, energize, and make a lasting impact this summer? Join the Dwight Summer Camp team, where for over a decade we’ve been creating unforgettable experiences for campers aged 4–12. Our beautiful facilities—including a six-lane pool, visual and performing arts studios, pickleball courts, gyms, design and science labs, and close proximity to Central Park—provide the perfect backdrop for summer adventures. But what truly makes Dwight special is our people. We’re excited to welcome a dedicated STEM Specialist to Dwight Summer Camp—someone who believes in the power of curiosity, hands-on experimentation, and creative problem-solving. In this role, you’ll cultivate an engaging and exploratory environment, lead a dynamic team of counselors, and guide campers in developing confidence and critical thinking skills through science, technology, engineering, and math activities. If you’re driven to inspire, teach with heart, and positively impact children’s lives, we’d love for you to join us. Help make this summer one to remember—for our campers, our staff, and yourself. Dates & Schedule: • Camp Duration: Monday–Friday, June 15 – August 7, 2026 (Closed Friday, June 19, for Juneteenth & Friday, July 3, for Independence Day), • Hours: 8:30 AM – 4:30 PM, • $20–$28/hour, commensurate with experience, • Lunch provided, • $150 bonus for completing required camp orientations & training Camper Supervision & Safety: • Lead creative lessons for groups of 15–25 campers ages 4–12, maintaining a safe, engaging, and supportive environment., • Foster a positive, inclusive camp culture where all campers feel supported and respected., • Plan and lead multiple STEM activity sessions each day, aligned with weekly camp themes, • Lead weekly indoor and outdoor programming utilizing camp facilities, including the indoor studio, courtyard, and Central Park., • Serve as a primary point of contact for the Camp Director during emergencies, supporting camper and staff safety at all times., • Support and help lead large-scale, camp-wide events for up to 250 campers, including themed days, guest performances, and special celebrations., • Lead by example, demonstrating professionalism, empathy, and enthusiasm., • Support staff and campers’ personal, social, and emotional growth., • Lead by example by modeling strong community values during activities and throughout the day., • Attend weekly meetings with the Camp Director to review programming, share planning updates, and coordinate day-to-day camp operations., • Collaborate closely with approximately 60 camp staff members to ensure smooth, effective daily operations., • Design and develop an 8-week STEM curriculum aligned with weekly camp themes, ensuring inclusive instruction that supports a wide range of abilities and skill levels., • Provide a sample of the first two weeks of curriculum planning to share ideas and receive feedback from the Camp Director by Friday, May 29., • Document and report medical needs or concerns to the Health Director promptly to ensure camper safety and proper care., • Enforce positive communication with parents and families, addressing questions and concerns to foster trust and engagement., • Teaching, childcare, or classroom experience, • Experience working with children aged 4–12 from diverse backgrounds and ethnicities, • Prior summer camp experience Shortlisted candidates will be invited to participate in a 15-minute interview, followed by a 30-minute demonstration lesson as part of the selection process. Required Training (provided by Dwight): • Online Sexual Harassment & Mandated Reporter training, • First Aid, CPR, and AED Certification (if required), • Virtual Summer Camp Staff Training, • Two in-person staff site trainings (late May–early June), • Mandatory Swim Test Dwight School is dedicated to barrier-free recruitment and providing equal employment opportunities. We welcome and accommodate applicants with disabilities or long-term health conditions. We are committed to maintaining a work environment free from discrimination of any kind. Our Motto: WE BELIEVE IN SUMMER! Bring your energy, creativity, and heart to Dwight Summer Day Camp and make a difference this summer. Apply today! Powered by JazzHR FpHQGimMey

Job DescriptionOXMAN OXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design. At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it. We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments. This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond mere maintenance toward the advancement of Nature. Summary OXMAN is seeking a Research Engineer with expertise in Deep Reinforcement Learning, Deep Generative Modeling, and Data-Driven Design Optimization to join our interdisciplinary team. Leveraging advanced computational techniques, you will develop innovative design methods that support and enhance ecological processes, bridging human-made and natural environments.In this role, you will explore the intersection of generative design methods and data-driven optimization strategies. Your primary objective will be creating approaches that integrate generative design, ecosystem simulation, and optimization techniques to enhance ecosystem services benefiting both humans and natural biodiversity. You will develop and test generative models and procedural techniques for designing environments, behaviors, and scenarios. These designs will be evaluated and refined through data-driven optimization and reinforcement learning methods, aiming to maximize positive ecological outcomes, such as biodiversity and resilience. Please provide cover letter and portfolio if available. Responsibilities • Develop and refine advanced deep generative models and reinforcement learning algorithms to generate, explore, and optimize built-environment design strategies aimed at enhancing ecosystem services., • Create decision-making frameworks that combine procedural generation with machine learning and data-driven optimization, improving interactions between built and natural environments., • Investigate and implement interfaces between procedural generation techniques, machine learning approaches, and deep generative modeling., • Collaborate with computational ecologists to integrate generative design frameworks with ecosystem simulation models, producing architectural and infrastructural designs that interact positively with natural environments., • Apply optimization and reinforcement learning techniques to align generative design outputs with ecological performance indicators, such as species richness, carbon sequestration, and water management., • Collaborate with data scientists and ecologists to incorporate extensive, diverse datasets (remote sensing, climate data, biodiversity records) into generative and optimization methodologies., • Contribute to model validation by comparing simulated results to empirical ecological data, ensuring accuracy and reliability., • Prepare detailed technical documentation of methods, assumptions, and implementations to support reproducibility and knowledge sharing.Qualifications, • Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields., • Proven experience developing and deploying deep generative models, reinforcement learning algorithms, and data-driven optimization methods in practical design problems., • Strong knowledge in mathematical modeling, probabilistic methods, simulation techniques, procedural modeling, and complex systems., • Proficiency in handling and analyzing large, heterogeneous datasets (environmental, climate, remote sensing) using Python, C++, or similar languages., • Experience with GIS tools and remote sensing technologies for geospatial analysis., • Demonstrated ability to work in cross-functional teams, bridging machine learning research with ecology, architecture, engineering, and design., • Enthusiasm for pushing boundaries in design and science; ability to merge rigorous computational methods with innovative thinking.

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you! Responsibilities: • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models., • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals., • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints., • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency., • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data., • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems., • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards., • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields., • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures., • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation., • Strong mathematical foundations in linear algebra, probability, optimization, and information theory., • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)., • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued., • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)., • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data., • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains., • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)., • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)., • Contributions to open-source ML frameworks or custom CUDA kernels., • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment. At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. Expected Compensation: The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth. Base Salary Range: $85,000 - $150,000 USD What We Offer: • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Paid holidays, unlimited PTO

Job Description Quant Developer/Market Maker The Company - Our client is a small trading shop, whose founders have an extremely successful track records in all prior ventures in high Frequency trading. The core consists of small group of educated PhD scientists who came together to build trading models in multiple asset classes over the last decade. They were first challenged to finding non-random behavior in data sets as they tackled the FX market with new algorithmic trading and quickly separated themselves from everyone else in the market. That company was bought by a world leader in capital markets, and they moved into equities, and were successful as a prop trading shop for over 6 years, and was eventually bought as well. They are now onto their next venture they are looking to tackle the cryptocurrency market. As a trusted asset to every large financial trading desk through the years, institutions have expressed great interest in trading with them, and the firm provides crypto asset execution, trading, and advisory services to institutional clients, as well as making markets on various exchanges, as well as providing customized algorithms to split up trades. They are looking for a Quant Developer (Quant/Market maker) to join this team, and head up building the market making product. This person does not need crypto experience, but needs to understand the technical backbone of market making systems, market microstructure and the technical needs for setting up and monitoring strategies. All systems are built from scratch and brand new. The competitive advantage is the model and brilliant combination of quantitative minds. They build their systems to be smarter, highly risk averse, rigorously tested and with a strict scientific approach to modeling. The Role – Starting as an Senior Quant Developer/Market Maker you will get a chance to get in on the ground floor in a low key environment and let data drive your decisions. This opportunity is for a top notch engineer with strong quantitative skills, to take a pragmatic approach and enjoy the flexibility of building something, in an environment where there is no red tape, or barriers to your creativity. It is a great opportunity for a Quant who wants to leverage technical/math skills to learn more about, and get into trading. Ideas for strategies are encouraged, and team will help you test and implement them. This is an opportunity for you to work with elite minds as well as trade ideas, grow in knowledge and gain exponential earnings potential. The overall climate is for everyone to make money and go home satisfied. Flexible hours and telecommuting is offered. Qualifications ¬ Experience working with high performance trading systems, specifically market making systems. ¬ FX is preferred over equity, because it translates better to the crypto-market. ¬ Strong Java/C# Programming ¬ Ability to develop systematic models from a mathematical approach ¬ Strong Math/Quantitative Skills and experience with Large Data Sets ¬ Top Tier Education – Masters or PhD (Math, Science, Computer Science, Engineering, Computational Finance) Skills and abilities you will be finely rewarded, compensation greatly depends on experience, equity and salary will be based on value.

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.