Researcher jobs in Passaic, NJ

About Us: At the Center for Food as Medicine and Longevity, we are pioneering the integration of nutrition and healthcare. By leveraging food's therapeutic potential, we aim to revolutionize how diseases are prevented, treated, and managed. We are embarking on an ambitious project to provide comprehensive academic literature reviews and practical guidance on using food and dietary supplements to treat various diseases and improve healthspan. How to Apply: (YOU MUST SEND AN EMAIL TO **********************) Key Responsibilities: Conduct in-depth research on the therapeutic use of food and dietary supplements for various health conditions and healthspan improvement. Draft detailed academic literature reviews, ensuring all information is thoroughly researched and supported by scientific evidence. Integrate research findings into coherent, accessible content that bridges scientific evidence with practical health advice. Manage and organize research materials, references, and drafts using Zotero. Edit and refine content to ensure clarity, accuracy, and engagement. Qualifications: Post-doc or recent Ph.D., MD, or DrPH graduate from a distinguished institution in science, nutrition, public health, or a related field Exceptional research, writing, and organizational skills Ability to develop and maintain guides on the impact of food and dietary supplements on various health conditions and longevity Expertise in conditions such as diabetes, heart disease, anxiety, depression, chronic respiratory diseases, and digestive disorders Commitment to producing scientifically robust and practical guides for healthcare providers and the public Why Join Us: Contribute to impactful work that has the potential to change lives and reshape healthcare Gain valuable experience in research, writing, and the intersection of nutrition and medicine Work with a passionate team dedicated to promoting health equity and innovative healthcare solutions Publication and Recognition Opportunities: Use the research material as a first author for narrative and/or systematic reviews Contribute to the development of resource guides, and your name will appear on our website as the key researcher for specific diseases and health span states. Compensation and Work Structure: This position offers a unique blend of academic and professional opportunities. While the postdoc will be compensated, this role also has a significant volunteer academic component. Stipend: $400 - $600 per literature review per assigned topic, such as Muscle Elasticity, Glowing and Radiant Skin, etc. Additional tasks outside pre-approved literature reviews will only be paid at approximately $25-30 per hour with prior written agreement. How to Apply: We want to hear from you if you're ready to contribute to this impactful project! You MUST send an email to ********************** with the following: A brief, informal introduction about yourself Your interest in this position Recent work and achievements A demonstration of your exceptional writing and organizational skills Your resume as an attachment Visit foodmedcenter.org for more information about our work and mission. Applications submitted through any other method will not be considered. Industry: Non-profit Organizations Employment Type: Part-time

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.

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams 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 Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our teams are looking for candidates to push the scientific and technical boundaries of multimodal generative AI. We are seeking individuals with expertise in generative modeling and computer vision, focusing on advanced topics like generative diffusion and transformer architectures, spatio-temporal modeling, multimodal dialogue and multimodal integration.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit ****************************** **Required Skills:** Research Scientist Intern, FAIR - Generative Vision (PhD) Responsibilities: 1. Conduct research on advanced topics in video and image generation 2. Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem 3. Develop novel solutions, implement prototypes, and perform extensive experiments for large-scale generative systems to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions 4. Draft and polish research reports and/or publications 5. Present research outcomes to internal and/or external audiences 6. Contribute research that can be applied to Meta product development **Minimum Qualifications:** Minimum Qualifications: 7. Currently has or is in the process of obtaining a PhD degree in the field of Computer Vision, Machine Learning, Artificial Intelligence, or equivalent 8. Strong research background evidenced by publications at top conferences such as CVPR, NeurIPS, ICLR, ICCV, ICML or SIGGRAPH 9. Solid understanding of generative models (diffusion models, GANs, VAEs, autoregressive transformers, etc.) 10. Proficiency in deep learning frameworks such as PyTorch 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP) 13. Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language 14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR) 15. Experience advancing AI techniques in Computer Vision and/or Machine Learning 16. Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources 17. Experience in utilizing theoretical and empirical research to solve problems 18. Experience working and communicating cross functionally in a team environment 19. Experience working with large-scale datasets and compute infrastructure 20. A strong track record of contributions to open-source projects, benchmarks, or shared research artifacts 21. Intent to return to degree-program after the completion of the internship/co-op **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.

JobID: 210672538 JobSchedule: Full time JobShift: Day Base Pay/Salary: New York,NY $152,000.00-$260,000.00; Jersey City,NJ $152,000.00-$260,000.00; Brooklyn,NY $152,000.00-$260,000.00; Chicago,IL $133,000.00-$225,000.00 As an Vulnerability Researcher - Assessments & Exercises at JPMorgan Chase in the Cybersecurity Technology & Controls line of business, you will contribute significantly to enhancing the firm's cybersecurity or resiliency posture by using industry-standard assessment methodologies and techniques to proactively identify risks and vulnerabilities in people, processes, and technology. Design and deploy risk-driven tests and simulations (or manage a highly-skilled team that does) and inform analysis to clearly outline root-causes. In this role, you will evaluate preventative controls, incident response processes, and detection capabilities, and advise cross-functional teams on security strategy and risk management. We are seeking a dedicated vulnerability researcher to engage in advanced vulnerability analysis and research, addressing the complex demands of our mission. In this role, you will work closely with fellow researchers and defense teams to identify vulnerabilities and develop cutting-edge solutions. The ideal candidate will be self-motivated, possess extensive technical curiosity, and have a strong background in reverse engineering. You will thrive in a collaborative environment, working on challenging targets to enhance our security posture. Job responsibilities * Design and execute testing and simulations - such as penetration tests, technical controls assessments, cyber exercises, or resiliency simulations, and contribute to the development and refinement of assessment methodologies, tools, and frameworks to ensure alignment with the firm's strategy and compliance with regulatory requirements * Evaluate controls for effectiveness and impact on operational risk, as well as opportunities to automate control evaluation * Collaborate closely with cross-functional teams to develop comprehensive assessment reports - including detailed findings, risk assessments, and remediation recommendations - making data-driven decisions that encourage continuous improvement * Utilize threat intelligence and security research to stay informed about emerging threats, vulnerabilities, industry best practices, and regulations. Apply this knowledge to enhance the firm's assessment strategy and risk management. Engage with peers and industry groups that share threat intelligence analytics * Conduct in-depth vulnerability research and exploit development across a broad range of software on modern operating systems, edge devices, on premise, and open-source software. * Reverse engineer binaries using tools such as IDA Pro, Ghidra, or Binary Ninja to identify novel attack surfaces and develop proof-of-concept exploits. * Use common VR toolsets such as Fuzzers, disassemblers, debuggers, and code browsers for static and dynamic analysis. * N-Day vulnerability analysis, patch diffing, and zero-day vulnerability research. * Collaborate with other teams to share findings, support vulnerability triage, patch prioritization, and IOCs sharing, supporting the firm's mission requirements. * Document research findings, proof-of-concepts, and technical workflows. Required qualifications, capabilities, and skills * Obtain 5+ years of experience in cybersecurity or resiliency, with demonstrated exceptional organizational skills to plan, design, and coordinate the development of offensive security testing, assessments, or simulation exercises * Track record of discovered vulnerabilities (CVEs) in high-profile targets in at least one of the following environments: operating systems, mobile devices, web applications, browsers. * Proven hands-on experience in vulnerability research and PoC/exploit development, reporting, and mitigating security vulnerabilities in open-source projects. * Expertise in advanced analysis frameworks leveraging symbolic execution techniques and dynamic binary instrumentation to uncover, triage, and exploit complex software vulnerabilities. * Hands-on proficiency exploiting complex vulnerability classes - including user-after-free, double free, type confusion - and applying advanced exploitation techniques such as heap spraying and controlled memory corruption to achieve reliable code execution. * Strong understanding of at least two operating systems internals throughout user mode and kernel mode (Microsoft Windows, GNU/Linux, Android, MacOS, or iOS). * Experience auditing large C/C++, Java, and .Net codebases combining automated static analyzers with manual review to trace data and control flow, uncover memory-safety, injection, and deserialization vulnerabilities and produce proof-of-concept code. * Extensive reverse engineering expertise on x86/x64 and ARM/ARM64 binaries, employing IDA Pro, Ghidra, Binary Ninja, WinDbg, GDB, and RR for deep static/dynamic analysis and root cause vulnerability discovery. * Knowledge of US financial services sector cybersecurity or resiliency organization practices, operations risk management processes, principles, regulations, threats, risks, and incident response methodologies * Ability to identify systemic security or resiliency issues as they relate to threats, vulnerabilities, or risks, with a focus on recommendations for enhancements or remediation, and proficiency in multiple security assessment methodologies (e.g., Open Worldwide Application Security Project (OWASP) Top Ten, National Institute of Standards and Technology (NIST) Cybersecurity Framework), offensive testing tools, or resiliency testing equivalents * Excellent communication, collaboration, and report writing skills, with the ability to influence and engage stakeholders across various functions and levels Preferred qualifications, capabilities, and skills * Bachelor's degree in computer science, or PhD in a related technical field, or an equivalent combination of education and/or experience in a related field. * 5+ years of experience in exploit research and development. * Experience using Fuzzing tools such as LibFuzzer, LibAFL, AFL++, OSS-Fuzz, Syzkaller and program analysis tools such as LLVM, Angr, KLEE, Intel Pin, DynamoRIO, and Frida. * Experience emulating embedded platforms for live debugging. * Kernel and low-level OS development. * Deep Linux internals knowledge (SELinux, AppArmor, Seccomp, eBPF, containers, VMs). * Deep Windows internals knowledge (KASLR, DSE, SSDT, IDT, SMEP, SMAP, PXN, KPP, KDP, VBS, HVCI, KMCI, UMCI).

We're looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We'll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches-drawn from LLMs, image models, RL agents, recommendation systems, or classical ML methods-to shape the future of ML at Jane Street. You'll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You'll also be hiring new colleagues, attending conferences, and teaching techniques to teammates-all of which we consider to be real and impactful parts of the job. About you If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. There's no fixed set of skills we are looking for, but you should bring: Practical experience working on empirical ML problems An ability to apply logical and mathematical thinking to all kinds of problems Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains Fluency with a versatile set of models and tricks The hands-on coding skills needed to rapidly implement and iterate on your ideas in Python and your favorite ML framework An eagerness to ask questions, admit mistakes, and learn new things If you're a recruiting agency and want to partner with us, please reach out to ********************************** .

Job DescriptionOriginally founded in 1991 as Harlem RBI, DREAM has grown to annually serve more than 2,500 youth across East Harlem and the South Bronx through a network of seven PreK-12, extended-day, extended-year DREAM Charter Schools and community sports-based youth development programs. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom. We dream big, as well, with an aggressive five-year plan to expand to serve 3,500 students across seven schools-growing our organization's impact and leveling the playing field for all children. To learn more, visit wearedream.org. The Prospect Researcher plays a critical role in expanding DREAM's donor base through proactive prospect sourcing, research, and cultivation. Reporting to the Senior Director of Advancement Operations, the Prospect Researcher will continue to build a strong donor acquisition program that will source and qualify donors through research, strategic cultivation and fundraising events and partner with fundraising leads to build robust major gifts portfolios across the team. This role is a great opportunity for someone looking to evolve and grow a prospect research function as part of building a best-in-class major gifts program. The ideal candidate will demonstrate an expansive and strategic approach to prospect research, with a strong emphasis on accuracy, thoroughness, and meticulous record-keeping. Responsibilities Prospect Research and Identification Proactively identify potential prospects from a variety of sources, including databases, networks, and external events; Prepare and present detailed research reports on donor biographies, philanthropic interests, and giving capacity; Synthesize research into various documents to support the fundraising process, including in-depth prospect and donor profiles, biographies, lists, and meeting briefings; Execute relationship mapping for DREAM volunteer leaders and top donors; Utilize research and wealth screening tools, along with experience using database applications for prospect identification and management; Monitor news, trends, and wealth events to maintain up-to-date intelligence on high-net-worth individuals and potential donors. Donor Pipeline Building and Management Manage regular prospect reviews with frontline fundraisers to refresh portfolios and build their prospect pools; Collaborate with team leaders in portfolio reviews, prioritization, and qualification of new prospects; Provide strategic recommendations for donor engagement based on research findings, ensuring alignment with DREAM's new donor acquisition strategy. Systems and Operations Build systems, tools, and workflows to grow and evolve DREAM's prospect research function; Track and report KPIs measuring prospecting activity and results; Maintain and analyze data on prospective and existing donors; Assist in maintaining the accuracy and integrity of records in the donor database. Qualifications Bachelor's degree, preferred; Three plus years of dedicated prospect research experience in a non-profit setting; Excellent project management skills, including the ability to prioritize and organize work streams with high attention to detail and meet deadlines; Ability to quickly evaluate and synthesize large volumes of information into concise and actionable insights; Strong knowledge of research and wealth screening tools, along with experience using database applications for prospect identification and management; Analytical mindset and ability to use data to support efficiencies and strategies; Curiosity and ability to connect dots between donors and prospects; Strong entrepreneurial skills, a take-initiative attitude, and the ability to thrive in a fast-paced environment; Ability to create positive working relationships with a variety of internal and external stakeholders; A strong belief in the mission and values of DREAM, including the belief that all students can succeed, and a deep desire to make a difference in the lives of our students, families, and community. Working Expectations The Prospect Researcher is part of the Advancement team, which currently works 3 days in the office and up to 2 days remote, per week (subject to change, and with some weeks requiring more time in-person, for example for donor events); Some evening and/or weekend work, for example to attend donor events, is required. Benefits and Paid Time Off We offer comprehensive benefits including: Flexible Medical Health Plans, subsidizing the majority of costs for the employee, their spouse/domestic partner and children; The ability to select between a variety of medical plans according to what best suits the employee's needs; Dental and vision plans; Disability benefits; Life insurance; Up to 12 weeks fully paid of Parental Leave; Flexible spending account options; Pre-tax commuter benefits (parking and transit); Fitness and entertainment discounts; A variety of support through our employee assistance program (EAP); A 403(b) retirement plan with employer matching up to 4% after one year of employment; Access to a professional development fund; Referral bonuses; All full-time Network Support Team employees are eligible for approximately 48 days off throughout the year including holidays, sick days, personal days and summer Fridays; Benefits are subject to change. Compensation DREAM offers a competitive salary commensurate with relevant experience with the potential for an annual performance-based increase. The incoming salary range for this position is $80,000 to $95,000 per year. New hires are typically brought into the organization at a salary closer to the start of the range depending on qualifications, internal equity, and the budgeted amount for the role. All staff are eligible for annual performance-based increases. Because we value staff tenure in each role, we do not currently cap salary ranges. Our Commitment to Diversity, Equity, and Inclusion At DREAM, diversity, equity, and inclusion are a matter of mission. From our schools to our playing fields, DREAM is committed to building a team where each individual can bring their full identity and experience to work because representation matters-it enriches our team culture, enhances our ability to innovate, and strengthens our impact in and out of the classroom. DREAM engages staff that represent and appreciate the diversity of our majority Black and Hispanic student body, while working to ensure that our practices are equitable, welcoming, and productive. We are dedicated to creating a world where youth, especially youth of color, have permission to dream-along with the tools and opportunities to make their dreams reality. Come dream with us. DREAM Maxims All Kids Can. This Kid Can.DREAM is Family.Fun is a Serious Value.Teamwork Makes the DREAM Work.Fail. Persist. Exceed.DREAM Big. Applying to DREAM We know applying for a new job can be a daunting process. In addition, studies have shown that historically underrepresented individuals often only apply to roles if they meet 100% of the qualifications. We encourage all applications! You may be just the person we need. If you have any questions about your application or interview process, do not hesitate to ask your recruiter; we are here to help! DREAM provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If accommodation is needed to participate in the job application or interview process, please contact your recruiter. If you are a current DREAM employee, please click here to review our Internal Selection Process before applying. 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.

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!

Department: Technology, R&D Reports to: CTO About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi's entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi's next-generation computational technologies. Duties and Responsibilities * Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing. * Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design. * Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions. * Contribute to algorithm-hardware co-design by identifying opportunities where photonic implementations provide competitive advantages. * Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi. * Publish and present research outcomes in journals and conferences. Required Skills and Experience * PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics. * Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics. * Strong background in mathematical modeling and numerical simulation of photonic or quantum systems. * Proficiency in scientific programming languages such as Python, MATLAB, or C++. * Demonstrated research record with publications in leading journals. * Strong communication skills and ability to work collaboratively across interdisciplinary teams. Preferred Qualifications * Familiarity with quantum information science, quantum computing, or related computational approaches. * Experience with integrated photonics, waveguide-based systems, or light-matter interaction models. * Knowledge of statistical physics approaches to open quantum systems and noise modeling. * Industry, government, or academic R&D experience in quantum technologies. * Experience mentoring junior researchers or working in collaborative project teams. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

Job DescriptionDescriptionOverview The Strategy & Public Impact team is The New York Public Library's central node of information and insights about its users, usage, and impact. We support decision makers and program staff across the institution through business intelligence, impact assessment, strategic conversations, user research, and data mentorship. The Patron Impact & Satisfaction Researcher will play an important role in helping the Library meet its full potential as a vital, relevant, and accessible public institution that is equitably used across our service area. Our patrons' satisfaction with the quality and outcomes of their library experience not only influences their future library use - it can also shape their views of, and support for, civic institutions and public life more broadly. The Patron Impact & Satisfaction Researcher's mandate is the development, analysis, and dissemination of survey-derived metrics tracking our patron (and broader community) experience, satisfaction, and impact, at the level of the Library overall, as well as its specific programs and services. This is a great opportunity for someone interested in applying their research and analytical skills to identifying the drivers underlying library “magic” and recommending ways to broaden and deepen it, thereby enhancing our benefit to the communities we serve. Key responsibilities Metric development: Translate outcome and impact goals from internal logic models into a core set of experience, satisfaction, and impact measures for specific offerings, and for the Library overall Survey development and testing: Operationalize these metrics into survey questions to be administered to patrons and community members Data infrastructure: Build the process by which these metrics are regularly gathered, at scale, in living data streams across the Library's physical and digital touchpoints Data monitoring: Develop approaches to continuously track patterns in metrics Data analysis: Determine the core drivers underlying experience, satisfaction, and impact across time, location, audience, and at key points in service life cycle Synthesis with other research: Build bridges between these metrics and the Strategy & Public Impact team's other data streams, marrying trends and insights from survey responses to patterns of usage (e.g. attendance, borrowing) Opportunity identification: Make programmatic and policy recommendations to better fulfill unmet patron and community needs Cross-team communication and partnership: Share trends, insights, and recommendations with program and operational partners across the Library, collaborating on actionable improvements to experience, satisfaction, and impact In 1 month, the Patron Impact & Satisfaction Researcher will: Get acquainted with Strategy and Public Impact patron research approaches and our qualitative and quantitative data streams Learn the organizational structure of the Library, meet our key internal stakeholders, and absorb what we have already learned about our patrons and the communities they come from Get acquainted with the Library's mission and current goals of the major divisions of the institution In 3 months, they will: Become proficient in our ongoing patron research, existing metrics and key reports, and identify areas of patron experience and library impact for core metric development Join the team in creating and fielding patron and staff surveys, and drafting reports based on our findings In 6 months, they will: Take primary responsibility for survey-based research: from understanding the research questions, through translating them into survey questions and methodologies, and fielding patron and staff surveys, to analyzing and synthesizing the results Suggest ways of enriching and deepening the findings from qualitative research and surveys with other data streams (e.g., circulation or visits) Independently prepare reports communicating our findings to various internal and external audiences Join the team in raising and articulating questions driving our future research agenda Required Education, Experience & SkillsRequired Education & Certifications Bachelor's degree required, a graduate degree in social science or other relevant discipline recommended 2 years of hands-on professional experience - or an equivalent combination of education and work experience - in an applied research role involving survey and metrics development and analysis Preferred experience with survey-based research in a non-profit, educational or cultural institution setting Required Skills Strong command of survey methods and evaluation methodologies, including potential research questions and techniques and research tools/software Familiarity with core statistical techniques such as significance testing, correlation, regression, distributions, factor and cluster analysis, and basic predictive modeling Basic proficiency in R (preferred), Python, or other statistical programming language Advanced proficiency in Microsoft Office and Google apps suites, especially Excel and Google sheets Ability to systematize output from, and detect patterns within, qualitative data sets Ability to independently produce high-standard, presentation-ready deliverables Ability to clearly and persuasively communicate analytical insights and methodologies verbally, visually, and in writing to employees at all levels of the organization Ability to to establish trusting relationships within a diverse organization, across multiple levels of management and staff Demonstrated learning mindset, with a continual appetite for developing skills, asking new questions, and absorbing information Preferred: ability to communicate effectively in Spanish or Chinese Managerial/Supervisory Responsibilities More...Please Note: Effective August 2, 2021, absent a qualifying exception for medical or religious reasons, newly hired employees of the New York Public Library must present proof of receipt of a COVID-19 vaccination and may not begin employment at the Library until 14 days after their receipt of their second dose of either the Pfizer or Moderna vaccines or 14 days after their first dose of the Johnson & Johnson vaccine. Newly hired employees who need additional time to receive their vaccination prior to their start date may request an adjournment of their start date with their hiring manager. The Library will consider such requests on a case by case basis, depending upon the Library's operational needs, among other factors. The Library will further consider exemptions for prospective employees who cannot become vaccinated due to a qualifying medical condition or a sincerely held religious belief or practice. Candidates who receive a conditional offer of employment and who seek a medical or religious exemption to the Library's vaccination policy will be provided with additional instructions at the time of the conditional offer. Core Values All team members are expected and encouraged to embody the NYPL Core Values: Be Helpful to patrons and colleagues Be Resourceful in solving problems Be Curious in all aspects of your work Be Welcoming and Inclusive Work Environment Office setting (with some flexibility to telecommute 2-3 days a week, work duties and general Library policy allowing) Managerial/Supervisory Responsibilities N/A Physical Duties May require travel within NYC (related to fielding surveys, visiting NYPL branches and the communities we serve) Pre-Placement Physical Required? No Union/Non Union Non-Union FLSA Status Exempt Schedule 35 hrs/week

_ 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 _

CTC is a cutting-edge proprietary trading firm with a long-term vision and a clear focus on helping the world price and manage risk. Our fun and trusting culture inspires us to solve the industry's most challenging problems and take calculated risks in a collaborative environment. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. The Role Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. As a Quantitative Researcher, you'll operate near the tip of the spear in a collaborative, dynamic environment. This includes close partnership with other researchers, traders, and engineers on quantitative problem-solving, trading strategy generation, back-testing, statistical analysis, and system design. Our environment of collaborative innovation and intellectual curiosity allows us to share in our victories while continually challenging ourselves to stretch the limits of our creativity. Take advantage of this opportunity to apply the scientific method to business problems as part of one of our Quant teams at CTC! We prioritize team matching at the outset of our hiring process, thoughtfully considering which of our two teams (Vol Overlay or Delta Force) offers the best fit for each candidate's strengths and interests while also aligning to the firm's highest priority needs. What We're Looking For We are seeking a Quantitative Researcher who can seamlessly blend academic rigor with practical application in our fast-paced trading environment. This individual will partner with our Trading and Technology teams to strengthen, scale, and evolve the firm's trading capabilities. The ideal candidate will possess a unique combination of analytical prowess, programming skills, and eye for business, driving innovation and results in quantitative finance. Responsibilities Analyze market data to come up with economic and microstructure hypotheses Build predictive and explanatory models to describe financial markets Add revenue by applying thorough research processes to real life business problems Contribute to ongoing improvement of research and trading infrastructure Qualifications PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Applied Mathematics, or Operations Research) Proven ability to conduct independent, high-quality research Exceptional ability to communicate complex ideas and research results, both in writing and verbally Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes. Demonstrated expertise in applying quantitative modeling techniques to large, complex datasets Strong track record of publications in an industry setting Advanced Python programming skills Nice to Have Proficiency in C++ (specifically for the Delta Force opening) Experience in financial markets Experience using NumPy and Pandas libraries Experience with the software development lifecycle Compensation The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual's skills, experience, qualifications, and firm performance. Salary Range$200,000-$225,000 USD Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need. Our Benefits We strongly believe in the well-being of our employees and their families so we offer outstanding benefits to support you both professionally and personally. These benefits include generous medical coverage, paid parental leave, free breakfast and lunch (plus healthy snacks, of course), wellness reimbursement, quarterly recharge days, and a variety of other benefits focused on providing the best employee experience. (Disclaimer: interns and contractors are not eligible for benefits at CTC) Our Commitment to Diversity, Equity and Inclusion At CTC, we aim to cultivate a workplace that celebrates diversity and each person feels included, engaged and empowered. Where each of us feels we belong. We are committed to having a diverse workforce and are proud to be an equal opportunity employer. CTC does not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us at ***********************. Note that emails sent to this email account for non-disability related issues, such as following up on an application, will not receive a response. Use of Artificial Intelligence (AI) Information submitted by job applicants may be subject to review and analysis by automated systems, including Artificial Intelligence (AI), as part of the recruitment process. Such systems are utilized to enhance the efficiency and effectiveness of our hiring procedures. Applicants are advised that any information provided may be evaluated by AI tools to ensure an equitable and thorough assessment.

The Japan Society Gallery seeks a part-time intern with a background in art history, and a strong interest in the arts, architecture, and culture of Japan. The ideal candidate will want to participate in the daily activities of a nonprofit art gallery, cultivate research and writing skills related to curatorial practice, and learn about exhibition development. Learning Opportunities: Learn about the development and life cycle of an art exhibition from the planning stages through to its installation Gain experience assisting with curatorial research, writing, and editing Understand both the daily operations and long-term planning of a nonprofit art institution Enrich knowledge of Japanese art, art history, and culture Expand understanding of Japanese culture by participating in collaborative programs with other departments at Japan Society Responsibilities: The intern will assist with various tasks including, but not limited to: Conducting and compiling research for upcoming exhibitions and gallery programs Updating and maintaining gallery collection databases Assisting with exhibition installation and de-installation Helping prepare for gallery public programs and gallery public tours Organizing gallery invitation lists for public events such as opening receptions Contributing day-to-day administrative/office support

Link Logistics Real Estate (“Link”) is a leading operator of last-mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans more than half a billion square feet. With more than 5 percent of U.S. GDP flowing through our spaces, we leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers' businesses and deliver value for our stakeholders. Link Logistics strives to be the most equitable and inclusive industrial real estate company in the business. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work, prioritizing diversity, equity and inclusion (DEI) across our workforce to deliver an optimal employee experience. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo. Because we believe that good business must be synonymous with doing good, strong environmental, social and governance practices are foundational to our identity as a firm. These practices include setting ambitious goals to combat climate change, partnering with local nonprofits, and prioritizing internal diversity, equity, and inclusion efforts. Link's 10-week paid summer internship program helps students gain valuable experience and develop business skills while learning the basics of logistics real estate. We offer internships in over 15 departments including Capital Markets, Construction, Development, Financial Planning & Analysis, Investments, IT, Asset Management, Property Management, Sustainability and more. Link is looking for actively enrolled juniors (rising seniors) who would be interested in supporting the team's efforts to build and implement machine learning models to inform better business decision making. You will be working with a cross-functional team of both supply chain and real estate veterans while developing a data science skillset via in-depth projects that'll involve applying statistical and technical rigor to solve key challenges surrounding the world of industrial real estate. WHAT YOU WILL BRING: Collect, clean, and analyze raw and complex industry data from disparate sources to identify patterns and statistically significant signals Research and apply various modeling and analytical techniques to build solutions that answer key business needs and goals Interpret models and articulate findings into concrete measurable actions that will inform Link's investment, operational, and strategic direction Provider broader analytical support to the Research & Analytics team QUALIFICATIONS: Current junior (rising senior) undergraduate student at an accredited four-year institution Pursuing a degree in statistics, economics, computer science, math, physics, or similar quantitative discipline Proficiency in Python and common Python data science libraries (e.g., pandas, NumPy, scikit-learn, matplotlib), SQL, and Excel Must currently be actively enrolled for consideration of internship $30/hour represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience. EEO Statement The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email ************************.

Job Responsibilities: Assisting senior quantitative researchers to carry out quantitative strategy design, research and development of global futures, stocks and options market. Statistically analyzing large scale tick by tick financial data to extract alpha patterns. Qualifications: Advanced degrees from top universities, majoring in science and engineering, preferably Statistics, Mathematics, Computer Science, EE, and Physics. Have formal trainings of independent academic research. Programming skills: proficient in at least one of following programming languages - C/C++, Python/R. Mathematical basics: having a good understanding of data science, being critical in learning knowledge, understanding at least one of statistical modeling, machine learning, econometrics or optimization. Being fast, critical and reasonable in thinking. Good communicator, being rigorous, patient, and having a strong sense of teamwork. Highly motivated, and able to work in a fast-paced environment.

DocCafe has an immediate opening for the following position: Physician - Academic/Faculty/Research in Valhalla, New York. Please make sure you read the following details carefully before making any applications. Make 650,000. DocCafe is the premier physician and advanced practice job board to help you advance your healthcare career. ---------------- Register now to apply for this job and for access to 120,000+ other openings. DocCafe Offers: * Free Physician and Advanced Practice Job Search: Easily search, review and apply to jobs that meet your requirements. Plus, set up e-mail alerts for when new jobs are added that meet your search criteria. * Professional Profile: Attract employers with a profile page that includes your CV, credentials and other medical professional information. * Confidentiality: Decide which information you want to share and when you appear in an employer's search results. * Career Matching Support: Our experienced team can match you to your dream based on your unique preferences. xevrcyc Get started with DocCafe today.

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 Generative AI efforts across modalities (images, video, 3D, audio, etc.) . 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 generative modeling, 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 sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Language and Agents (PhD) Responsibilities: 1. Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques. 2. Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms. 3. Perform research to advance the science and technology of intelligent machines. 4. Perform research that enables learning the semantics of and training generative models of data (images, video, 3D, text, audio, and other modalities). 5. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. 6. Disseminate research results. 7. When applicable, contribute to research that can be applied to Meta product development. **Minimum Qualifications:** Minimum Qualifications: 8. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, or relevant technical field 9. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 10. Experience with Python, C++, C, Java or other related languages 11. Experience building systems based on machine learning and/or deep learning methods **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, ICML, ICLR, CVPR, ICCV, ECCV, ACL or similar 14. Experience working and communicating cross functionally in a team environment 15. Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision 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 deep learning frameworks **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 goals are to give you a real sense of what it's like to work at Jane Street full time as a Machine Learning Researcher, and a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models. At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what's possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques. You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes. Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication. About You If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. You should be: A PhD student or postdoc with practical experience working on empirical ML research problems Interested in applying logical and mathematical thinking to all kinds of problems Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains Fluent with a versatile set of models and tricks Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework Eager to ask questions, admit mistakes, and learn new things If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here. If you're a recruiting agency and want to partner with us, please reach out to **********************************.

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!