Research internship jobs in Syosset, NY

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The Fine Lab The Fine lab is a Neuro-oncology research group that makes use of complex 3D human brain tumor models (GLICOs: ********************************************* ********************************************* to perform translational research into glioblastoma. We are a diverse, multinational and interdisciplinary team (MD/PhDs, cell/ molecular biologists, veterinarians & bioinformaticians) with a vibrant research and training environment in the Tri-Institutional Campus of New York City. We have secure funding and exceptional access to patient tissue/cell lines, as well as cutting edge scientific resources and training. The Role The successful candidate will be trained to work with embryonic stem cell-derived cerebral organoids interfaced with tumor stem cell biology, to facilitate High Throughput drug screenings. They will be a key personnel of the incipient Starr Foundation Cerebral Organoid Translational Core and will report to its supervisor. In achieving this goal, the candidate will have the opportunity to perform, and receive training in, a wide range of laboratory techniques including: reprogramming of induced pluripotent stem cells (iPSCs), embryonic and induced pluripotent stem cell culture, the generation and culture of cerebral organoids and tumor organoids and the use and development of cell based assays to test novel therapeutic drug candidates, and cutting edge gene editing and molecular biology techniques. They will be an integral member of the lab with the ability to work independently, contribute to experimental design, interpret and present your results to the wider team, and receive recognition through authorship on published work. Job responsibilities Collect and process biological patient specimens to establish glioma stem cell lines. Perform routine human iPSC/ESC culture. Generation and maintenance of hESC-derived cerebral organoids. Perform 2D and 3D high-throughput drug screening using luminescence-based assays. Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and statistical analysis charting. May run routine biochemistry assays including western blotting and RT-PCR. May perform routine molecular biology laboratory procedures, such as PCR, DNA electrophoresis, cloning and DNA preparation. May perform microscopic imaging analyses. Minimum requirements: • Commitment to delivering meaningful advancements that directly enhance patient care and well-being. • Bachelor's degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry) or equivalent practical experience. • One year ‘wet lab' work experience, including mammalian cell culture. • Strong teamwork skills with a proven ability to effectively interact and collaborate with other scientific disciplines. • Must currently be authorized to work in the United States to ensure immediate onboarding and integration into the team. Preferred qualifications • Master's or Ph.D. degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry). • Experience culturing human stem cells (hESCs/ iPSCs) and 3D models. • Significant hands-on cell based assays for high throughput drug screening. • Experience generating stable, genetically engineered cell lines; working with lentivirus. • Experience in biochemistry assays including western blotting and RT-PCR. The position will be subject to annual approvals based on performance, with a starting salary commensurate with qualification and experience. It will require flexibility to work a few hours twice per month over the weekend given the nature of cerebral organoid generation procedures. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. Minorities are strongly encouraged to apply.

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications choose correct set based on focus of role : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: **************** Research Intern on Generative AI for Content Creation Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie, game, and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game, and music production across entertainment studios worldwide. Responsibilities As a research intern, you will investigate and apply novel algorithms related to: The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution. Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts. Required Qualifications Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields. Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing. Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch) and visualization (e.g., TensorBoard). Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, and ICML. Excellent communication and presentation skills. Preferred Qualifications Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $45.00 per hour. The individual will be paid hourly and eligible for overtime . All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: ***************** Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact ******************* before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

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.Meta is seeking Research Interns to join our Products and Applied Research team. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, 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 PhD, Applied Research Responsibilities: 1. Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques 2. Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project 3. Perform research to advance the science and technology of intelligent machines 4. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results 5. Disseminate research results 6. Publish research results and contribute to research that can be applied to Meta product development **Minimum Qualifications:** Minimum Qualifications: 7. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field 8. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 9. Research experience in machine learning, deep learning, computer vision and/or natural language processing 10. Experience with Python, C++, C, Java or other related languages 11. Experience with deep learning frameworks such as Pytorch or Tensorflow **Preferred Qualifications:** Preferred Qualifications: 12. Intent to return to the degree program after the completion of the internship/co-op 13. 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 NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar 14. Experience working and communicating cross functionally in a team environment 15. Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science 16. Experience solving analytical problems using quantitative approaches 17. Experience setting up ML experiments and analyzing their results 18. Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources 19. Experience in utilizing theoretical and empirical research to solve problems 20. Experience with explainable AI methods and topics around LLM safety alignment 21. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) **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.

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.

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. Is a CAD/3D internship right for you? Are you passionate about performant graphics, optimizing geometric computations on the web, novel 3D algorithms to unsolved problems, intuitive and user obsessed 3D UI and visualizations or design for manufacturing concepts? These are just some of the types of work and innovation the CAD/3D team leverages to accelerate our company's growth and success. Join a team where we build tools and experiences that drive impact in our product quality, delight our customers, push operational efficiency and automation past the industry defined limits. About Dandy Dandy is a fast-growing health-tech startup transforming the $400B dental industry through groundbreaking advances in Generative AI and robotics. We reached our first $100M in revenue in under two years-faster than companies like Uber, Slack, and Shopify-and our rapid growth has continued over the past two years. The company is backed by top-tier investors including Primary, Greenoaks, and General Catalyst. We've built the largest ML and CAD engineering teams in dentistry, drawing exceptional talent from leading organizations such as Google DeepMind, Amazon, and Waymo. Our full-stack engineering teams tackle complex challenges across platform architecture, supply chain optimization, and SaaS product development. Research is core to our culture, and our team includes authors of award-winning work, including ICML Best Paper. At Dandy Engineering, you will Tackle frontier problems in 3D dental prosthetic design- consuming and refining the outputs of generative AI models or perception layers. We promise that your work will be way beyond prompt engineering and wrapping around 3P APIs: you'll scope algorithms, design, iterate and deploy real solutions that drive meaningful commercial impact at scale. Design and implement advanced computational geometry algorithms that power rapid, accurate design of custom 3D prosthetics for manufacturing. Build advanced optimization algorithms to orchestrate a complex supply chain with millions of interdependent components, enabling speed, reliability, and automation. About Dandy Research Internship Internships will be in-person in our downtown Manhattan office with opportunities to learn directly from our Co-Founders, Head of Engineering, and other members of the engineering leadership team. Our internship offers equity, encourages publication, and provides the opportunity to convert to a full-time role. Applicants must be currently enrolled in a PhD program in a relevant discipline. Req ID: J-843 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!

_ 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 _

Introduction Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and regions. Our long-term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business. Overview The incumbent will help the research team innovateand maintain the existing research products, but also facilitate the research development on the quantitative side. Responsibilities Include but are not limited to Generate unique, thematic written research on a monthly/bimonthly/quarterly and annually basis based on current affairs, client interest and BoC NY research pipeline; Help maintain existing products and contribute to develop future research products Work closely with other teams to help run and develop analysis/ metrics such as analysis of market event and develop possible pipeline for future research Curate and edit content for style and clarity as assigned, design document templates, formats, and infographics Interpret and comment on banking metrics of companies under the team's coverage Create slides by leveraging multiple data sources for BoC's related conferences/ events (e.g. SBDC, ALCO, etc.); Prepare and provide slides for 4 major banks, 2 investment banks with coverage in: 1) operating metrics (topline, bottom line, NII, important ratios, etc.)2) visualization of selected data points 3) summary of latest quarter and forecast of next quarter + 2H24 4) transcript of this part for speaker Conduct Ad-hoc research projects and prepare speech notes etc. assigned by senior management of BOCNY or HO. Assist US banking industry analysis to HO with scope including: 1) the sector's resilience and adaptability, with institutions focusing on enterprise-wide transformation to enhance operational efficiency and customer engagement; 2) seasonal earnings report from 4 major banks, 2 investment banks and~5 regional banks; 3) regulatory environment change and related risks analysis along with ; 4) technological advancement and integration Coordinate and collaborate cross-team with Strategy Research Team for related SRD research publications esp. tasks related corporate-wide initiatives and best practice(s) in industry Qualifications Bachelor's degree required. Master's degree is a plus but not required; Economics, Computer Science, Mathematics, Statistics or Financial engineering related major preferred Intermediate understanding in coding languages including but not limited to SQL/R/Python/Java/C++ Basic knowledge in research required; Experience in global FICC esp. fixed income and interest rate is preferred Basic writing skills and knowledge in macro are a must Bilingual ability in Mandarin and English is a must Interpersonal and communication skills (written and verbal) is a must Ability to collaborate with team members on research projects is a must Solid work ethic and high levels of motivation is a must Understanding in banking industry (US) or previous equity research experience with financial institutions is preferred Pay Range USD $18.00 - USD $18.00 /Hr.

Research Support Specialist Required Qualification (as evidenced by an attached resume):Bachelor's Degree (foreign equivalent or higher) in a field related to biomedical sciences. Experience with research activities. Experience in operating equipment, carrying out test procedures, and using special methods for data collation and interpretation. Preferred Qualification:Advanced degree (foreign equivalent or higher) in a field related to biomedical sciences. Prior laboratory experience with research animals, cell culture, and/or microbiology. Brief Description of Duties:Within defined test or analytical protocols, operate equipment, carry out test procedures, as well as collate and interpret data using special methods in support of a research project or program for Dr. Samuel Becker in the Department of Medicine-Division of Rheumatology, Allergy, and Immunology. The Becker Lab studies the immune response to tuberculosis and other infectious diseases using mice as an experimental model. Facilitate lab operations by maintaining the mouse colony, purchasing supplies and keeping inventory. This role requires work in a Biosafety Level 3 facility. The successful incumbent will have excellent interpersonal skills, exercising strong organizational and time-management skills with an exceptional attention to detail. Essential for this role is the adeptness to work independently as well as part of a team with a collaborative approach to problem solving. Duties:Conduct experiments: provide technical laboratory support and animal handling to assist with experiments conducted, collect and analyze data, prepare reports for review of supervisor and/or PI. Maintain mouse colony; supervise breeding, perform genotyping, and keep inventory. Lab management: organization and ordering of supplies and equipment. Perform literature search; staying current in the field by reading and discussing the literature and experimental results with the supervisor and/or PI. Other duties as assigned. Special Notes:The Research Foundation of SUNY is a private educational corporation. Employment is subject to the Research Foundation policies and procedures, sponsor guidelines and the availability of funding. FLSA Non-Exempt position, eligible for the overtime provisions of the FLSA. For this position, we are unable to sponsor candidates for work visas. Resume/CV and cover letter should be included with the online application. Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all other protected classes under federal or state laws. If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at ************** or visit OEA. In accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can be viewed here. Visit our WHY WORK HERE page to learn about the total rewards we offer. SUNY Research Foundation: A Great Place to Work. The starting salary range (or hiring range) to be offered for this position is noted below, it represents SBU's good faith and reasonable estimate of the range of possible compensation at the time of posting. Job Number: 2504181Official Job Title: Research Support SpecialistJob Field: Administrative & Professional (non-Clinical) Primary Location: US-NY-Stony BrookDepartment/Hiring Area: Medicine / RheumatologySchedule: Full-time Shift :Day Shift Shift Hours: 8:30am - 5:00pm Posting Start Date: Dec 11, 2025Posting End Date: Dec 26, 2025, 4:59:00 AMSalary:$38,000-$50,000Appointment Type: RegularSalary Grade:N11SBU Area:The Research Foundation for The State University of New York at Stony Brook

As a Data Analyst Intern, you will support the company's data-driven decision-making process by analyzing large amounts of data related to consumer behavior, trends and patterns. You will have the opportunity to work with a team of experts and gain valuable insights into the retail industry while developing your skills and knowledge in data analytics. This is a part-time internship position that requires excellent attention to detail, critical thinking and problem solving skills and the ability to work independently in a fast-paced environment. Responsibilities Assist in collecting, cleaning and transforming large data sets from various sources. Analyze and interpret data to identify trends and insights related to consumer behavior, market trends, and sales patterns. Assist in building and maintaining reporting and visualization tools to communicate data insights to key stakeholders. Develop and maintain dashboards, data visualizations, and other reporting solutions. Conduct ad hoc data analysis to support business needs. Collaborate with cross-functional teams to identify opportunities for improvement, provide data-driven insights and recommendations to support strategic decisions. Requirements Currently enrolled in or recently graduated from a Bachelors or Masters degree program Strong analytical and problem-solving skills. Ability to work independently and in a team-oriented environment. Excellent attention to detail and accuracy. Proficient in Microsoft Office Suite, especially Excel and PowerPoint. Familiarity with SQL, Python, or R programming languages. Benefits We are committed to providing an environment of mutual respect where equal employment opportunities are extended to all employees and applicants for employment. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. All aspects of employment are decided on the basis of qualifications, competence, merit, and business needs. We are proud to be an equal opportunity employer.

About : City Wonders is a dynamic and innovative company. We are committed to excellence and offer exciting opportunities for interns to gain valuable experience in the field of data analysis. Position Overview: Are you a detail-oriented and analytical individual with a passion for data? Wonders is seeking a talented Data Analyst Intern to join our team. This internship provides a unique opportunity to work closely with our data professionals, learn valuable skills, and contribute to meaningful projects. Key Responsibilities: Collaborate with the data team to collect, clean, and analyze data from various sources. Assist in creating and maintaining reports and visualizations to track key metrics. Support data-driven decision-making by providing insights and recommendations. Help maintain data quality and accuracy through regular audits and checks. Learn and apply data analysis tools and techniques. Participate in team meetings and contribute to data-related discussions. Qualifications: Currently pursuing or recently graduated with a degree in Data Science, Statistics, Business Analytics, or a related field. Strong analytical skills and attention to detail. Good communication skills and the ability to work effectively in a team. Eagerness to learn and adapt to new data analysis methodologies. Benefits: Gain practical experience in data analysis within a supportive and collaborative team. Exposure to real-world data and business challenges. Opportunity to build a professional network.

As a Data Analyst Intern, you will be responsible for collecting, organizing, and analyzing large datasets to derive meaningful insights and provide strategic recommendations to our investment team. You will work closely with senior analysts and investment professionals to identify trends, evaluate market opportunities, and assess the performance of potential and existing investments. This internship will provide a unique opportunity to learn about the venture capital and private equity industry while developing foundational skills in data analysis and investment evaluation. Responsibilities Collect, clean, and organize large datasets for analysis Perform quantitative and qualitative analysis to identify trends and patterns Support investment team in evaluating potential investment opportunities Assist with financial modeling and forecasting Conduct market research to identify industry trends and competitive landscapes Create and maintain databases and analytical tools Prepare reports and presentations for senior management and investors Requirements Strong analytical and problem-solving skills Proficiency in Excel and data analysis tools such as Python or R Excellent attention to detail and ability to work with large datasets Knowledge of financial modeling and valuation techniques Strong verbal and written communication skills Ability to work independently and within a team Self-motivated and eager to learn about venture capital and private equity

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Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, AI Alignment Responsibilities: 1. Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques 2. Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy 3. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence 4. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results 5. Publish research results and contribute to research that can be applied to Meta product development **Minimum Qualifications:** Minimum Qualifications: 6. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field 7. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment 8. Experience with Python, C++, C, Java or other related languages 9. Experience with deep learning frameworks such as Pytorch or Tensorflow **Preferred Qualifications:** Preferred Qualifications: 10. Intent to return to degree program after the completion of the internship/co-op 11. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar 12. Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches 13. Experience building large-scale machine learning systems and training with large datasets 14. Experience communicating complex research in a clear, precise, and actionable manner 15. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 16. 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.

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 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!

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Central Applied Science (CAS) is a research and development team, working to improve Meta's products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the Meta family of apps. The work we do enhances the Meta family of apps that enable billions of people to communicate with each other daily. Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, economics, political science, operations research, and sociology, among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Meta and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise. We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of Meta's successes. The ideal candidate will have extensive graduate training in computer science, machine learning, statistics, operations research, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at Meta. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Statistics, Operations Research, or a related field * Experience analyzing datasets using languages like Python or R * Experience developing algorithms in languages like Python, C, C++ or Java * Experience with empirical research and for answering questions with data * Interpersonal experience: cross-group and cross-culture collaboration * Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications * Expertise in one or more of the following fields: causal inference, machine learning, combinatorial optimization and stochastic modeling * Experience working with large-scale data systems, such as Presto, Spark, etc * 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 KDD, ICML, NeurIPS, AAAI, WWW, WSDM, etc * Experience working and communicating cross functionally in a team environment * Intent to return to degree-program after the completion of the internship/co-op Responsibilities * Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products. * Develop novel quantitative methods on top of Meta's unparalleled data infrastructure. * Work towards long-term ambitious research goals, while identifying intermediate milestones. * Communicate best practices in quantitative analysis to partners. * Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.