Research internship jobs in Paterson, NJ

December 8th-January 31st** Schedule: 25 - 30hrs per week between 5 days a week, Evening Hour Shifts *The shift times, locations, and days of the week will vary depending on when we are able to book these retail spaces. This will include travel to all five boroughs* Required Skills & Experience: User Research project experience (ex: UX research assistants, coordinators, moderators, interns etc). Excellent communication and interpersonal skills. Proficiency in using phones and computers. Strong organizational skills and attention to detail. Ability to help set up camera equipment for the acting sessions. Drivers license and ability to commute to different worksite addresses daily within the bay area for the duration of the project. Job Description: Hiring "User Research Data Collectors" to re-enact different retail scenarios for research purposes around the NY Tri-state area. This is for a consumer electronic research study. The hired individuals will "act" as customers and staff in various settings like coffee shops, grocery stores, and restaurants in the NY boroughs. You must be comfortable signing a consent form to be filmed and recorded. Your voice, face, motions, and bodies will be captured during the protocol. You will need to sign a consent form allowing the captured data to be used in the client's product & service development, and prototyping. You will be asked to help unload camera equipment and Meals will be provided daily for lunch. You must be comfortable commuting to different worksite addresses daily within the bay area for the duration of the project. The position will require local travel around the NY area. 1 specific location per day.

JAI Development is a food and beverage innovation lab specializing in product formulation and production operations management across diverse product categories. JAI Development helps emerging CPG brands reach their goals. JAI Development partners with a network of industry professionals to support these brands. The company has worked on award-winning projects at both local and national levels. Role Description This is a full-time on-site role for an Associate R&D Beverage Formulator located in Brooklyn, NY. The Associate R&D Beverage Formulator will be responsible for assisting with the formulation of new beverage products, conducting research and development activities, and utilizing laboratory skills to test and refine product formulations. Day-to-day tasks include supporting the R&D team with analytical assessments, collecting and analyzing data, and effectively communicating findings and progress within the team. Qualifications Experience in Research and Development (R&D) and strong Research skills Proficient in Laboratory Skills and Analytical Skills Excellent Communication skills Highly organized with attention to detail Bachelor's degree in Food Science, Chemistry, or related field Ability to work collaboratively and independently in an on-site setting Experience in the food and beverage industry is a plus Desire to work in a fast-paced environment, collaborating with a team of professionals. Detail oriented, striving for perfection but ability to learn from failure.

cinq à sept sank·ah·set sæŋk'e'set n : The time between late afternoon and early evening when streets are awash in the warm glow of the vanishing sun and anything is possible Sharing its name with the French term for the liminal moment linking late afternoon and early evening, Cinq à Sept brings the intriguing tension between day and night to a new advanced contemporary collection. Inspired by the hours between 5 and 7 p.m., when city streets are awash in the warm glow of the vanishing sun and office desks are abandoned for cocktails and as-yet unknown possibilities, Cinq à Sept embodies a deliberate balance between sophistication and ease, youthful daring and confident allure. The collection's modern feminine aesthetic embraces unexpected details and striking silhouettes, resulting in clothing that draw their romance and sexiness from the woman wearing them. ROLE OVERVIEW We are seeking a highly motivated and detail-oriented Fabric Research & Development Associate to join our team and support material development from initial concept through to pre-production. This role plays a key part in bringing seasonal fashion collections to life by ensuring the right materials are developed, sourced, and delivered on time. The ideal candidate is collaborative, organized, and an excellent communicator, with a strong understanding of textiles and a passion for fashion. You'll work closely with mills, suppliers, and internal design, production, and merchandising teams to manage seasonal development of fabrics, leathers, and trims. Responsibilities include tracking development timelines, reviewing quality and cost, maintaining technical documentation, coordinating sample and bulk orders, and ensuring timely delivery. You will also maintain an organized and up-to-date fabric library that supports the creative process. KEY RESPONSIBILITIES: Support seasonal fabric, leather and trim development by coordinating with suppliers and gathering key details such as pricing, minimums, and technical specs Review new materials for quality, performance, and bulk feasibility; flag potential issues to the Fabric Manager Communicate daily with mills to track development progress, troubleshoot delays, and ensure timelines stay on track Manage Purchase Orders - send all POs for Test, Proto and Sample goods; partner with Accounts Payable team to close out all invoices as needed Help manage sampling budgets and assist with tracking development costs Request FDS sheets and work with suppliers on prices, minimums, fabric width, and fabric content Collect and review technical documentation for all materials; identify and escalate any gaps or concerns Collaborate with Design, Product Development and Production on fabric direction and needs for early buys and special programs Keep precise, detailed records to track seasonal material decisions and fabric developments and ensure alignment with the development calendar from initial adoption through pre-production. PLM Management - enter and maintain all fabric information and attributes ensuring ongoing accuracy Participate in vendor meetings and industry shows to stay informed on trends and innovations Maintain organized fabric, leather, and trim libraries, including liability materials Keep precise and detailed records of all fabric developments from initial adoption through to pre- production Preparation and sending of sample yardage and bulk cutting to production Support last-minute material sourcing during key development phases and styling weeks YOUR PROFILE: Degree in Textiles or Apparel 3-5 years experience in Fabric or Product Development Must be able to multitask and manage multiple priorities and deadlines Experience working in PLM or similar systems proficient in Outlook, Excel and Adobe Programs Excellent communication skills both written and verbally Ability to stay organized in a fast-paced environment Self-motivated with the ability to work independently Extremely organized, detail oriented and proactive Strong time management skill with the ability to adapt to changing priorities and meet deadlines Understanding of the brands aesthetic

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. By catering to both consumers and businesses, we're powering a new, open entertainment ecosystem where fans have effortless access to experiences, and teams, venues, and shows have seamless access to their audiences. Because everyone should expect more from ticketing. Make your mark We are hiring Data Analyst Interns to join us for Summer 2026. As a member of the Analytics team, you will develop questions, conduct exploratory analyses, build data models in our data warehouse, and create dashboards in Looker and Mixpanel. Over twelve weeks, you'll work closely with Business, Product, Design, and UX stakeholders, gaining experience with the fast-paced live events industry. Above all, you will develop a deep understanding of SeatGeek's business and help ensure that that understanding is at the heart of our forward-looking strategy. This is a 12-week summer Internship Program with a hybrid work style. You will be expected to be on-site 50% of the week at our corporate office in NYC. What you'll do Develop expertise in core Analytics competencies, including exploratory data analysis, insight generation, reporting, KPI definition, and A/B testing Leverage first-class tooling - including Redshift and dbt - to build and maintain key “end-to-end” data models for stakeholders from production through to our Business Intelligence tool, Looker Communicate key learnings and recommendations to stakeholders in a manner that productively influences decision-making Work with senior members of the Data Team to develop and execute business stakeholder roadmaps Evangelize data expertise, best practices, and documentation within the Data team and in collaboration with our business partners What you have You are a currently enrolled college student set to graduate in the Spring/Summer of 2027, ideally studying economics, psychology, computer science, statistics, mathematics, or another quantitative discipline Experience using SQL Solid business acumen Strong collaboration skills and familiarity with using data points to build a narrative to guide business strategy and inform decisions Experience building reports within a business intelligence tool is a plus Perks $120 a month to spend on tickets to live events Monthly commuter card for transportation Subscription to Headspace Free lunch & snacks is provided every day in the office Weekly planned events like comedy/broadway shows, sports games, museum visits and more Housing stipend **Please note you are expected to come into the SeatGeek New York City Office at least 3 days a week** The compensation for this role is $45/hour USD (based on a 40 hour work week). SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here.

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.The Wearables AI team at Meta works to advance the field of artificial intelligence by making fundamental advances in technologies to help Humans interact with and understand our world. We conduct product-motivated research in ML/AI, develop state-of-the-art algorithms and deploy models to the RayBan | Meta family of smart glasses. We work on most aspects of AI, in on-device and server-side settings. As a Research Scientist Intern, you will help us develop innovative models and algorithms, with a goal of publishing and deploying the outcomes.We are seeking individuals passionate in areas such as deep learning, computer vision and multi-media, audio and speech processing, natural language processing, personalization and recommendations, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Smart Glasses in Wearables AI (PhD) Responsibilities: 1. Perform research to advance the science and technology of intelligent machines. 2. Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. 3. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. 4. Publish research results and contribute to research that can be applied to Meta product development. **Minimum Qualifications:** Minimum Qualifications: 5. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Multi-modal Systems, Computer Vision, Natural Language Processing, Speech Recognition, Audio Processing, Conversational AI, or other relevant technical field 6. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 7. Experience with Python, C++, C, Java or other related languages 8. Experience building systems with deep learning frameworks such as Pytorch or Tensorflow **Preferred Qualifications:** Preferred Qualifications: 9. A strong interest in theoretical and empirical research and for answering difficult questions with research 10. Experience in at least one ML/AI area such as Natural Language Processing (Translation, Summarization, Dialog, NER, etc), Speech and Audio Understanding (Recognition, Synthesis, Signal Processing), Computer Vision (Image or Video Analysis), Multi-modal (image, video, audio, text, etc) Reasoning & Retrieval, Reinforcement Learning, Search and Recommendations 11. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ACL, NAACL, EACL, NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ICASSP, or similar 12. Ability to stay in touch with the literature of a particular domain and ability to quickly reproduce results, if needed 13. Demonstrated software engineering experience via a previous internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience with the utilization of enterprise level AI, Machine Learning, and Deep Learning/ LLM platforms involving big data management and GPU compute 15. Experience working and communicating cross-functionally in a team environment **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

This role encompasses ongoing oversight on primary PE fund investments, direct deals and co-investments for our Family Office Group. This includes continuous analysis and reporting for our most sophisticated client's alternative investment portfolios which may include exposure to a broad array of strategies including but not limited to private equity, venture capital, private credit, real assets, direct deals and co-investments. This role will include, onsite manager due diligence meetings, fund Annual General Meetings (AGMs), shareholder meetings as well as regular due diligence screening calls for client sourced deal flow. The role may also include some operations related to the portfolio. Location: New York City, NY Duties/Responsibilities: Monitor and analyze performance of direct deals, co-investments, and alternative fund investments across private equity, venture capital, private credit, real assets, and other private markets strategies. Portfolio oversight - Produce high-quality reporting, analytics and insights for client consumption, internal investment committee and family office group Maintain performance and documentation to support ongoing monitoring Participate in manager meetings, company update calls, AGMs, and relevant industry conferences Track key company and fund-level developments, financial performance, capital calls/distributions and valuation updates Support the development of materials for client reviews, portfolio analyses, and internal diligence memos Collaborate with operations and client service teams on data accuracy, cash flow tracking and alternative investment administration Regular dialogue with select clients in partnership with Advisor and Research team Skills & Qualifications: Bachelor's degree required 5-10 years of relevant investment experience within private markets, family office, fund of funds or institutional allocator environment CAIA or CFA Preferred Strong knowledge of private markets including individual asset classes/strategies, direct deals and co-investments Exceptional analytical and financial modeling skills; ability to interpret complex data and draw meaningful insights Strong written skills and verbal communication Strong interpersonal and presentation skills Excellent organizational skills and attention to detail Comfort working with senior investment professionals, portfolio company management teams and fund managers Proficiency with Excel, PowerPoint and portfolio analytics tools Salary: $200,000 - $300,000 annually, based on experience.

Our summer program, while flexible on timing, will ideally run at least 10-weeks and provide Summer Interns the opportunity to work side by side with multiple investment professionals across sectors. This program provides direct exposure to the role of a discretionary investment analyst. You'll learn firsthand what it is like to work in a dynamic environment driven by the market, including: * Research broader market factors and themes as well as dive deeper into verticals within tech, healthcare, consumer, energy, industrials and financials. Develop fundamental analysis skills to identify attractive investment opportunities in both public and private equities. * Leverage alternative datasets to perform various types of diligence on both private and public companies. * Develop your technical acumen and communication skills. * Facilitate relationships with the street and build partnerships with banks across the sell-side. * Research and support strategies within the firm's current trading framework. * Collaborate with other groups across the firm. * Attend sessions with senior leaders discussing their expertise and career paths. * Consideration for full-time employment upon graduation. Required Qualifications: * Experience in researching and analyzing companies' fundamental business drivers - ideally through prior internship experience or in a related position. Modeling skills are preferred but not required. * Demonstrate passion for both investing and industry trends in the public markets. * Excellent writing skills and ability to quickly synthesize thoughts and organize information. * Creative thinking and problem-solving skills alongside a willingness to take initiative. * An openness to tackle any project or task that is required. * Investing background and grasp for financial markets, and valuation / accounting principles - includes degrees in Business Administration, Economics, Statistics, or related subjects. * Strong communication skills and ability to work well with colleagues across multiple teams and regions. * Fluency in English is required. The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates' compensation and benefits will be determined in consideration of various factors.

InfiniteQuant is a global quantitative trading and technology company. As a proprietary trading firm, we are privately owned and funded. We architect bespoke research and trading technologies to unlock infinite possibilities in the global market. Job Description InfiniteQuant LLC is pleased to announce our annual Quantitative Researcher/Developer Internship tailored for students and recent graduates. We are actively seeking candidates with expertise in high-frequency statistical arbitrage, focusing on global commodities and digital assets, as well as in market-making strategies for spot, future, swap, and options. Exceptional interns will have the chance to rotate among various tracks throughout their internship, providing a comprehensive experience in the field. Tracks Track1 - High-Frequency Trading Analyze order book data and market trade data to generate high-frequency signals with strong statistical significance. Directly responsible for the construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies. Track2 - Prediction Market Trading Engage in sports and prediction market trading using quantitative pricing and liquidity management techniques. Monitor, track, and analyze sports prediction markets, including betting odds, price movements, and market sentiment, and provide insights for predicting sports outcomes. Benefits Team-wide career skills improvement workshops, group coaching, onsite events, and one-on-one training. USA or UAE working visa sponsorship for qualified candidates if needed. Career workshop. Team outing event and team dinner. Earn performance-based bonus. Corporate swag Well-stocked office kitchen. Salary Range $6,000-$10,000 per month Location USA: Downtown Manhattan, New York UAE: Jumeirah Lakes Towers (JLT), Dubai Remote Interview Process The interview process includes 1-2 rounds with Quants, a coding test, and concludes with a final interview. This year, we are initiating two application rounds: the first starts in September 2025 and a potential second in January 2026. Our candidate pool is exceptionally competitive. Successful candidates are either pursuing or have attained Master's or Ph.D. degrees, or they have significant work or internship experience from HFT proprietary trading firms or hedge funds. Qualifications Candidates must pursue or hold a Master's or Ph.D. in a quantitative discipline with an understanding of market microstructure. Experience in leading HFT prop shops, trading firms, or hedge funds. Work or internship experience in crypto trading is a plus. Proficiency in data-driven research, advanced statistics, and strategy development is expected. Strong Python skills, particularly with NumPy and pandas. Proficiency in C++. Machine Learning / Deep Learning experience competitive experience on Kaggle or similar platforms is a big plus Additional Information InfiniteQuant LLC is an Equal Employment Opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military and veteran status, and any other characteristics protected by applicable law. We seek to recruit, develop, and retain the most talented and qualified applicants from a diverse candidate pool.

Spotify is looking for enthusiastic students/recent graduates with a passion for creativity and an ambition to go far. This isn't just any internship! Our paid internship program will give you the chance to gain in-depth knowledge of what it's like to be a Spotify employee as well as get the opportunity to see the technology side of a fast growing company! Our summer internships will last for approximately 10 or 12 weeks this summer and start in the middle of June. We are looking for Research Scientist interns in the fields of artificial intelligence, machine learning, economics, foundational modeling, and LLMs. Our teams are based in the US (East coast) and Europe working on a diverse range of research topics and applied problems. We use a variety of approaches and methods to answer research questions related to how people interact and engage with Spotify. We work on a broad range of Spotify features - personalized playlists like iDJ & Discover Weekly, Search and Recommendations, and foundational AI systems powering recommendations of music, podcasts, and audiobooks to more than 600 million users with billions of interactions. What You'll Do * Be part of an interdisciplinary team focused on making every user interaction with Spotify amazing through personalization and discovery, and in the process pushing innovation and contributing to the wider research community by publishing papers. * Apply your scientific knowledge to application-oriented problems in artificial intelligence, economics, machine learning, search and recommendation, speech processing, and natural language processing, combining insights from your expertise with those of our diverse team of research scientists. * Be a valued member of an autonomous, multi-functional team working in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems. * Help to develop thoughtful, efficient, and intuitive new ways to search, explore and discover music, podcasts, and audiobooks. Who You Are * You are pursuing a PhD in Computer Science, Information Science, Economics, Statistics, or related areas with a strong computational focus. * Strong preference for a graduation year date of 2026 or 2027. * You currently have valid work authorization to work in the country in which this role is based that will extend from June to September 2026. * You are available from June 15th onwards for a 10 or 12 week summer internship . * You have publications in communities such as NeurIPS, ICML, ICLR, EC, AAAI, RecSys, The Web Conference, ACL, SIGIR, WSDM, KDD, Interspeech, or related venues (preferred) * You are a creative problem-solver who is passionate about digging into complex problems and devising innovative ways to reach results (preferred) * You have experience with the complexities of modeling and analyzing real-world data (preferred) Where You'll Be * This role will be in New York City. * Our internship program has a lot to offer with in office events and networking opportunities. To allow you to be fully immersed in our program and make the most of your time with us, we ask that you come into the office 3 days a week. The United States hourly rate for this position is $55 USD and is overtime eligible. These rates may be modified in the future. The role is eligible for select benefits such as Paid Public Holidays, and Learning and Development Trainings. Our paid research science summer internships last for approximately 10 or 12 weeks and start at the middle of June. The last day to apply is February 5th 2026 at 12 PM ET. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Role Engineers Gate (EG) is a leading quantitative investment company focused on computer-driven trading in global financial markets. We are a team of researchers, engineers, and financial industry professionals using sophisticated statistical models to analyze data and identify predictive signals to generate superior investment returns. EG's investment teams each focus on their independent strategies while utilizing the firm's proprietary, state-of-the-art technology and data platform to optimize their alpha research. We are seeking a highly motivated Quantitative Research Intern to join one of our investment teams. In this hands-on research role, you will collaborate with experienced team members to explore data, develop predictive models, and support research initiatives. This opportunity provides practical experience applying quantitative skills in a dynamic, real-world environment. We value continuous learning and development, and this role offers the chance to work closely with professionals across research, engineering, and investment teams. If you thrive in a fast-paced, data-driven setting, we encourage you to apply. Key Responsibilities Conduct research on large and complex datasets to identify trends, patterns, or predictive signals Assist in designing, testing, and evaluating quantitative models or strategies Support feature engineering, data analysis, and model validation Analyze results and contribute to recommendations for research or strategy development Communicate research findings clearly to team members Required Skills, Qualifications, and Experience Currently pursuing an undergraduate or graduate degree in a quantitative field (Computer Science, Mathematics, Engineering, Physics, etc.) Strong programming skills in Python and SQL Experience or coursework in quantitative research, data analysis, or modeling Comfortable working with large datasets and applying statistical or machine learning techniques Strong analytical thinking, creativity, and attention to detail Excellent written and verbal communication skills High ownership, curiosity, and a growth mindset Ability to thrive in a fast-paced and collaborative environment The expected salary range for this role is $75,000-$100,000, prorated based on the duration of the program. Actual compensation will be determined based on a variety of factors, including the candidate's skills, qualifications, education, and experience.

About Basis Basis is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future. To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first. About the Role Research interns work closely with scientists and engineers at Basis, learning from and contributing to our team. Internships are open to graduate-level candidates (or equivalent), pursuing research in technical and scientific domains, including areas of computer science such as machine learning, and programming languages. We are looking for people who want to grow technically and who value gaining a deeper understanding of concepts at their foundations. We expect you to: Have demonstrated an ability to do high-quality scientific research. Possible ways to demonstrate this include publications, technical reports, and software projects In addition, the following would be an advantage: Excited about solving real world problems and having positive societal impact Activities Develop and explore computational theories of intelligence, including reasoning, learning, and decision-making In close collaboration with domain experts inside and especially outside Basis, work as a team member to help solve scientific and societal problems Distill insights from solving problems into more general mathematical and computational theories Contribute to open-source software (Optionally) Publish and present findings in journals and conferences Contribute to the culture and direction of Basis Potential projects Interns will be placed with one of our active projects, according to project needs and intern fit. In particular, we have openings within the following areas: Dynamical Systems + Machine Learning at Basis We're seeking interns interested in developing the theory and methods that let us learn how systems work from data-and quantify what we don't know. This work sits at the intersection of machine learning, dynamical systems, and uncertainty quantification, with the goal of advancing how we represent, infer, and forecast complex real-world processes under uncertainty. Projects may be theoretical (developing foundations for learning and reasoning about dynamics), methodological or engineering-focused (building and integrating algorithms into our universal reasoning engine), or applied (using our existing toolkits to study systems such as animal behavior and robot co-design). Interns should have familiarity with differential equations, machine learning, and Bayesian inference. Collaborative Intelligent Systems We study collaborative intelligent systems in the wild, focusing on how social species coordinate, communicate, and adapt in complex environments. Our work spans multiple levels of behavior, from fine-grained group foraging and navigation decisions to city-scale ecological and evolutionary dynamics. Using multimodal data (audio, video, environmental, and genetic), we develop probabilistic and dynamical systems models that investigate how communication and cooperation shape resilience in changing ecosystems. Interns will contribute to data analysis, modeling, or field data collection for our “behavioral weather station” network monitoring social species across cities. Key skills: interest in animal behavior or collective systems; experience with data science, machine learning. Preference will be given to candidates with experience in at least one of the following areas: dynamical systems modeling, multimodal data analysis, multi-agent simulation. MARA - Modeling, Abstraction & Reasoning Agents Science advances by discovering useful abstractions. MARA operationalizes this insight into software agents. Instead of passively absorbing data, MARA agents propose hypotheses, run physical or simulated experiments, and revise models of the world until a compact, coherent theory emerges. Early results show MARA systems solving previously unresolved (ARC) Abstraction and Reasoning Corpus tasks; widely considered among the hardest AI benchmarks today. We are also opening a new branch of the project to bring MARA into the physical world, with embodied agents (robots) that learn from experience, build internal representations, and apply "everyday science" human-like reasoning to solve problems. Read the latest from MARA on our blog. Role Details FT/PT: This is a full-time position. Start and end dates: This is typically a summer position but the dates are flexible. The internship should span at least three months. Location: This is an in-person position in either the New York City or Boston/Cambridge area. Salary: $100,000 annually Application close date: We will begin reviewing applications for Summer 2026 in October, and the application will remain open until the cohort is full. Privacy Notice By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes. Read our full Global Data Privacy Notice here .

Dandy is transforming the massive and antiquated dental industry-an industry worth over $200B. Backed by some of the world's leading venture capital firms, we're on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world-empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. Dandy is a high growth health tech company and the leading digital-first manufacturer of custom dental appliances. In just three years, we've built a world-class platform that transforms dentistry through technology, automation, and design. As we scale, our Machine Learning team is tackling challenging problems at the intersection of Generative AI, 3D design, and advanced robotics. We are looking for motivated interns to join us in exploring how bleeding edge machine learning can reshape the future of digital dentistry and advance the state-of-the-art for generative AI. This is a hybrid/in office role based in our New York City headquarters. What You'll Do As a Machine Learning Intern at Dandy, you will: Work with large, complex datasets (3D scans, sensor data, and beyond) to build and evaluate ML models. Explore and implement state-of-the-art machine learning methods, including generative modeling, deep learning, and applied optimization. Collaborate with researchers and engineers to improve existing ML pipelines and identify opportunities for innovation. Contribute to experiments, prototypes, and production-ready solutions in real-world applications. Learn best practices in MLOps, model evaluation, and applied research. What We're Looking For Current graduate (Master's or PhD) student in Computer Science, Electrical/Computer Engineering, Applied Math, Physics, Mechanical Engineering, or related field. Strong programming skills in Python and familiarity with PyTorch or TensorFlow. Coursework or research experience in machine learning, deep learning, or applied AI. Curiosity, problem-solving skills, and the ability to work on open-ended challenges. Prior exposure to large datasets, generative AI, or 3D/vision data is a plus, but not required. Candidates must be able to reliably commute to the Dandy office in New York City, 3 days per week. Why Join Dandy? Work on real-world healthcare related problems with immediate impact on our platform, customers, and millions of patients who ultimately receive our dental appliances. Gain experience at a fast-growing startup with a world-class technical team, including seasoned engineers from Google, Amazon, Meta, etc. Opportunity to innovate and publish while contributing to applied ML systems. Mentorship from experienced ML engineers and researchers. Be part of a collaborative, NYC-based team where innovation happens daily. Req ID: J-736 For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off-ensuring our team members are supported no matter where they live and work. Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

What is the Opportunity? Research Associate responsible for fundamental analysis of companies in the Biotechnology sector What will you do? Develop an expertise in the Biotechnology sector Assist in the development and detailed modeling of company specific financial models Coordinate, generate and maintain research reports, presentations and databases Provide research support to analyst as required Incumbent is in the process of developing core Research Associate skills Support and answer client queries as they relate to the sector Proactively identify operational risks/ control deficiencies in the business Review and comply with Firm Policies applicable to your business activities Escalate operational risk loss events, control deficiencies and risks that you identify to your line manager and the relevant risk and control functions on a timely basis. What do you need to succeed? Basic Qualifications PhD, MD, or similar advanced degree in life sciences field relevant to therapeutics NYSE Licensing Requirements - Series 7, 63, 86 & 87, SIE Other Required Qualifications: 1-2 years of work experience in a non-academic setting such as biopharma industry/drug development, life sciences consulting, or investment banking is a plus Familiarity with accounting and financial modeling Previous exposure to the biopharmaceuticals sector Efficient writing capabilities Strong computer skills (Excel) with ability to quickly learn new platforms Detail oriented with solid analytical skills and ability to synthesize data points into trends beyond the mainstream Energetic, self-motivated and an ability to perform under pressure and meet time sensitive deadlines, sometimes for extended periods of time Demonstrated passion for equity/financial markets Prior sell-side equity research experience in biotechnology, pharma, or specialty pharmaceuticals is a plus Good understanding of financial/stock market Knowledge of Wolters Kluwer software and IMS are a plus AUTHORITIES, IMPACT, RISK Regular interaction with clients Supporting Senior Analyst KEY RELATIONSHIPS Internal clients including sales and trading External clients as required WORKING CONDITIONS The work environment is based on a office/trading floor, thus little physical effort is required The office environment can be a high stress environment that requires quick turnaround and decision making What's in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team Opportunities to do challenging work Opportunities to building close relationships with clients The good-faith expected salary range for the above position is $100,000 - $160,000 depending on factors including but not limited to the candidate's experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan. RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that: Drives RBC's high-performance culture Enables collective achievement of our strategic goals Generates sustainable shareholder returns and above market shareholder value Job Skills Communication, Detail-Oriented, Economic Analysis, Financial Instruments, Financial Planning and Analysis (FP&A), Fund Analysis, Information Capture, Investment Reporting, Investments Analysis, Personal Initiative Additional Job Details Address: BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORK City: New York Country: United States of America Work hours/week: 40 Employment Type: Full time Platform: CAPITAL MARKETS Job Type: Regular Pay Type: Salaried Posted Date: 2025-09-10 Application Deadline: 2025-12-31 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion and Equal Opportunity Employment At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. About the Role: The quant research internship is an intensive 10-week program focused on enhancing your quantitative and programming skills, as well as helping you experience what it's like to be a full-time quant researcher at Jump. At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant researcher, quant trader, and quant developer. During our internship you will get training in all of these areas, with a focus on our research process for signal generation, machine learning, trading / market mechanics, C++, Python, and statistics. You will work with fellow interns to develop your own predictive models and automated trading strategies for live trading. Then you will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant researchers, traders, and developers. Other duties as assigned or needed. Who Should Apply? We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates will have: Outstanding skills in computer science, machine learning, statistics, and mathematics Competitive spirit and uncommon drive to learn and improve Programming experience Appetite for risk-taking Demonstrated interest in financial markets Reliable and predictable availability required. INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. The estimated base salary for this role is $300,000 per year.

Job DescriptionBenefits: 401(k) Company parties Employee discounts Flexible schedule Paid time off Training & development M&A Research Associate (Intern Flex Schedule) The M&A Research Associate (Intern) is a key part-time role supporting our Business Development and Marketing teams in driving firm visibility and promoting our services to targeted prospective clients. Join the Optimatum team, bring your talent, and gain hands-on experience in our New York City office, located in the heart of Rockefeller Center. (*This is an in-person position with flexibility to expand, based on availability and business need.) Our Story Optimatum Solutions is a vendor management firm delivering comprehensive solutions across Employer-Sponsored Healthcare, Retirement, HR Systems, and M&A/Transitional Services. We design and execute harmonization strategies and provide active management and oversight to help clients create and capture value. We are a high-performing, entrepreneurial, and client-focused organization. Our culture values inclusion, individuality, and collaborative growth. We foster continuous learning and personal developmentfree from corporate red tape. At Optimatum, every team member contributes meaningfully to our collective success while being recognized for their individual strengths. We offer a competitive compensation and generous employee benefits package that includes: Salary and bonus Comprehensive Healthcare Coverage Medical, Dental, Vision, Life Insurance, STD & LTD 401(k) with employer match Flexible time off policy including vacation, personal days and holidays The Opportunity The M&A Research Associate (Intern) supports the Business Development and Marketing teams by researching, synthesizing, and packaging market insights related to M&A, Private Equity, Healthcare and related sectors. These insights will be used to develop marketing and business development content aimed at increasing brand awareness and supporting client acquisition. The ideal candidate will have strong research and communication skills (both written and verbal), along with proficiency in Microsoft Office to support high-quality project delivery The Optimatum Team is looking for a highly skilled individual including: Key Responsibilities Review and synthesize insights from industry publications. Conduct ongoing research using publicly available sources. Deliver research summaries on a weekly, monthly, or quarterly basis, aligned with publication cadence. Extract key data points for use in marketing communications. Draft thought leadership content based on research findings. Provide general support across the organization. Additional Qualifications Enrolled in a masters degree/equivalent or higher Related professional experience in industry or professional services a plus Interest in M&A, PE, Finance, is a must Interest in Healthcare preferred Strong Microsoft Office Skills Strong ability to research, synthesize and present findings Effective and professional communication skills Ability to manage competing priorities and multiple workstreams Exceptional organization and planning skills Highly detail oriented We look forward to discussing this opportunity with you. Please complete the application to start the process. ** The expected hourly salary ranges from $30.00 - $38.00. Salary offers are based on a wide range of factors including, but not limited to, relevant skills, training, experience, education, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package (for eligible employees), successful candidates may be eligible to receive a discretionary bonus.

_ 24000LP1 Research Associate Summer Intern (Campus) Job Type : Internship Organization : MARKPrimary Location : United States-New York-New York Missions Who You'll Work With: Bernstein prides itself on its best-in-class Research Associate program; our Associate alumni are numerous across the investment management industry and within the ranks of our highly-rated Senior Analysts. We are looking for highly motivated college juniors and Master's students to join our premier Equity Research platform for a 10-week internship program in our New York office. If you love research, Bernstein could be a great fit for you! Our summer interns learn about and contribute to the research we are known for: thematic, industrial strength, collaborative, data-driven, bottom up, and always differentiated. You will be assigned to a sector team (such as US Food, Internet, Insurance, etc) and work closely with a Senior Analyst and other Associates who will mentor and develop you. What You'll Do: As a Summer Research Associate you will: · Build expertise in your sector working with a seasoned industry expert and other Associates · Learn in-depth analysis of the sector, companies and stocks by working with your team through a quarterly earnings cycle · Complete a significant project and deliver a presentation to senior management · Attend Bernstein Summer School learning and development programs · Interact with peers in research, sales, and trading through a variety of networking and social activities Profile What We're Looking For: Our Summer Research Associates are rising seniors or in the final year of their master's programs, and typically have track records of outstanding academic performance. For research roles, it's important that you have excelled and thrived in a rigorous academic environment. We look carefully at your academic background (including grades, tests, and fields of study) for evidence of the following: · Excellent broad-based analytical skills · Outstanding verbal and written communication skills · Strong quantitative backgrounds and ability to work with data sets, including engineering, math and science degrees · Relentless intellectual curiosity · We look for consummate team players who seek an intellectual and collegial environment for their development.Why Join Us _Business Insight _

Why Work with Us Solve unsolved problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies, responsible for developing sophisticated models that transform complex data sets into actionable insights. You will apply rigorous statistical and machine-learning methodologies to diverse financial datasets, develop innovative approaches to understanding risk and returns, and design strategy frameworks leveraging fist principles from economics and other fields. What We're Looking For We seek ambitious and talented problem-solvers with strong quantitative backgrounds. No financial knowledge is expected. Quantitative Researcher candidates should have demonstrated capability in conducting cutting-edge research and analysis. We value team members who communicate clearly, have strong critical analysis skills, and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit setting excites you, we'd love to get to know you. The ideal candidate will possess most of the following: PhD, master's, or bachelor's degree in computer science, statistics, physics, or a related quantitative field Proven track record developing sophisticated predictive models Strong programming skills, including mastery of Python for data analysis Knowledge of statistical and machine learning modeling frameworks Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Experience working with large data sets and computationally intensive projects Job Compensation Range The base salary range for this role is prorated based on the full-time salary range of $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of Seven Research's comprehensive package. We will provide additional detail about compensation and benefits during our hiring process. We are an equal opportunity employer and prohibit discrimination and harassment without regard to race, religion, age, sex, or any other characteristic protected by law. If you have any questions, please contact us at *************************.

The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, to develop and discover principles of impact to J.P. Morgan's clients and businesses. JPMorgan Chase AI Research has assembled a team of experts in many fields of AI. They pursue primary research in areas related to our research pillars as well as concrete problems related to financial services. They partner with internal teams to accelerate the adoption of AI within the firm. They also work with leading academic faculty around the world on areas of mutual interest. As a Research Scientist on the AI Research team, you will conduct end-to-end research typically within a specialized focus area. You will work on multiple research projects in collaboration with internal and external researchers and with applied engineering teams. The team is headquartered in New York and present in London, Madrid, Paris and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact -- as a member of this highly visible team, you will have the opportunity to realize significant impact not only within J.P. Morgan but also to the broader AI community. Job Responsibilities You will be integral to all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research. Your output will result in high-impact business applications, open source software, patents and/or publications in AI/ML conferences and journals. As a member of the AI research community, you will also have the opportunity to participate in relevant top-tier academic conferences to broaden the impact of your contributions. Required qualifications, capabilities, and skills Currently pursuing a Master's degree in Computer Science, Statistics, Engineering or related fields. Extensive programming skills in Python, Java or C++ Proficient understanding of fundamental AI and ML techniques; e.g., A*, regularization Practical experience with statistical data analysis and experimental design Demonstrate clear and effective verbal and written communication skills, also has curiosity, creativity, resourcefulness and a collaborative spirit Demonstrate ability to work on multi-disciplinary teams with diverse backgrounds Interest in problems related to the financial services domain (specific past experience in the domain is not required) Preferred qualifications, capabilities, and skills Currently pursuing a PhD in Computer Science (especially AI/ML) or related field. Research publications in prominent AI/ML venues; e.g., conferences, journals Strong expertise in one or more specialized areas of relevance to AI in Finance, e.g., LLM-based reasoning, foundational models, AI agents, planning, scheduling and optimization, AI search, multimodal document analytics, AI for coding, knowledge representation, reasoning under uncertainty, task-focused trustworthy AI, cryptography for AI, continuous learning from experience, image and language processing and understanding, large-scale complex data analytics, synthetic data and behavior understanding Practical experience with ML platforms such as Tensorflow/Keras, PyTorch, etc. Comfort with rapid prototyping and disciplined software development processes Practical software engineering experience in collaborative project settings

N1 is the first hyper-performant and horizontally scalable blockchain network designed to enable trustless computing at internet scale. N1 is comprised of a team spanning backgrounds from Harvard, CMU, DFINITY, VMWare, Galaxy Digital, and more, and is backed by top-tier institutions like Founders Fund, Kraken Ventures, SALT, Amber Group, and more. Position Overview: Join N1 as a Research Intern and contribute to shaping the future of decentralized computing at internet scale. This role offers the flexibility to focus on market and product-based research or technical research-whichever aligns best with your skills and interests. For market and product-focused interns, you'll dive deep into market landscapes, track industry trends, and assess competitor strategies to support data-driven decision-making. For technical research-focused interns, you'll explore cutting edge distributed system design, and assist in a curated research project that aligns with your interest. This is a unique opportunity to gain hands-on experience in blockchain research, refine your analytical skills, and make a meaningful impact on N1's mission to build the future of trustless computing. Requirements: Undergraduate student (or equivalent level) with a strong drive for learning through doing Excellent research and analytical skills, with the ability to gather and interpret data from multiple sources Strong interest in learning more about blockchain systems, and financial systems Ability to work both independently and collaboratively in a fast-paced environment Excellent written and verbal communication skills