Researcher jobs in Perth Amboy, NJ

Job No. ROCGJP00038098 Six month Contract Job Description: UX Researcher, AI & LLM Products (Contract) Team: Foun ation Model Group, Prescient Design (AI for Drug Discovery) The Foundation Model group within Prescient Design is seeking an exceptional UX Researcher for a 6-month contract. Our team is at the forefront of developing AI and agentic frameworks to revolutionize drug discovery. We are specifically looking for candidates with direct experience in LLMs (Large Language Models) and AI agents, and/or a background in biotech, pharma, or a related industry, with a proven track record of shipping internal software products. As the bridge between our AI development team and our users-world-class scientists and biomedical experts-your mission is to ensure our agentic framework is not only powerful but also intuitive and seamlessly integrated into the complex workflows of cutting-edge drug discovery. You will champion a user-centered approach, translating deep user insights into a product that accelerates scientific breakthroughs. The Hiring Manager is prioritizing profiles with experience in LLMs/agents and a background in biotech, pharma, or a related field, specifically those who have shipped an internal build, software, or product. The Role In this role, you will be instrumental in shaping the user experience of our internal AI platforms. Your key responsibilities will include: Define AI Product Strategy Through UX Research: Lead end-to-end user research to directly inform the product roadmap for our agents and LLM-based applications. Identify critical pain points in scientific workflows and uncover new opportunities for AI to drive efficiency and discovery. Design and Execute Rigorous Usability Studies for AI Products: Develop and implement specialized user testing methodologies (e.g., contextual inquiries, task-based usability tests) to evaluate the effectiveness and intuitiveness of our LLM-driven interfaces and agentic workflows. Operationalize User Feedback for AI Systems: Build and manage a systematic process for gathering, analyzing, and tracking qualitative feedback on our models and agents, enabling data-informed improvements to the core AI infrastructure. Uncover Actionable Insights for Agentic Frameworks: Analyze qualitative data from user sessions to understand how scientists interact with and trust AI outputs. Synthesize findings to reveal what drives user adoption and engagement with complex AI tools. Build a User-Testing Infrastructure for Internal AI Tools: Create and maintain reusable testing protocols and recruitment pipelines tailored for internal, expert users, elevating the quality and efficiency of user research across the organization. Collaborate Deeply with AI/ML Engineers & Scientists: Work closely with technical teams to translate complex user needs from drug discovery units into clear, actionable product requirements for our AI models and agentic systems. Communicate with Clarity and Impact: Synthesize diverse data to provide compelling insights and recommendations. Effectively advocate for the user to both technical and non-technical stakeholders, influencing product features and the strategic roadmap. Qualifications 3-5+ years of experience conducting UX research and usability testing, preferably with complex, expert-facing systems or internal tools. 3-5+ years of experience in qualitative and quantitative research methods, including generative and usability studies, data analysis, and A/B testing. Demonstrated experience with AI products, specifically Large Language Models (LLMs) and AI agents. Experience with UserTesting, Contentsquare, or similar usability testing platforms. Have experience building and scaling a user research practice, including establishing processes for recruitment, testing, and knowledge management. Know how to connect deep user insights to product strategy, roadmap decisions, and business impact. Possess strong analytical skills and are comfortable synthesizing complex, often ambiguous, qualitative data into clear, actionable themes. Enjoy tackling ambiguous, high-stakes problems and have a genuine curiosity for understanding complex domains like drug discovery. Communicate with clarity, empathy, and a strategic focus. Highly Preferred Direct experience shipping internal software, tools, or products within biotech, pharma, or a related industry. Hands-on experience with LLM-based applications and standardized protocols like MCP (Model Context Protocol). Experience working directly with subject matter experts and stakeholders on internal tools. Who We Are Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. Genentech is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status.

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).

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.

About the Team Safety Systems sits at the forefront of OpenAI's mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm. The work of this research taskforce spans four pillars: Worst‑Case Demonstrations - Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being. Adversarial & Frontier Safety Evaluations - Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas. System‑Level Stress Testing - Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve. Alignment Stress‑Testing Research - Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress. About the Role We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail-and how to fix them. Your insights will directly influence OpenAI's product launches and long‑term safety roadmap. In this role, you will Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above. Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI. Create automated tools and infrastructure to scale automated red‑teaming and stress testing. Conduct research on failure modes of alignment techniques and propose improvements. Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk. Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes. Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work. You might thrive in this role if you Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter. Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields. Possess a strong research track record-publications, open‑source projects, or high‑impact internal work-demonstrating creativity in uncovering and exploiting system weaknesses. Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure. Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations. Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy. Hold a Ph.D., master's degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required). What we Offer A chance to shape safety practices at the frontier of AGI. Your work will directly lower the changes of catastrophic misalignment. Access to cutting‑edge models, tooling, and compute resources. A highly collaborative, mission‑driven environment with world‑class colleagues. Competitive compensation, equity, and benefits. If you're excited to push AI systems to-and beyond-their limits so we can deploy them safely, we'd love to hear from you! Join us in the taking on the most important challenge for the world today. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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 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 **********************************.

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

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

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

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); 403(b) retirement plan with employer match starting at 4% after one year, with increases tied to DREAM tenure; Referral, performance, and tenure milestones bonuses; Discounted school meals through our in-house Scratch Food Program; Tuition reimbursement support; Access to a professional development fund; 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.

JobID: 210672538 JobSchedule: Full time JobShift: Day Base Pay/Salary: Jersey City,NJ $152,000.00-$260,000.00; New York,NY $152,000.00-$260,000.00; Chicago,IL $133,000.00-$225,000.00; Brooklyn,NY $152,000.00-$260,000.00 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).

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

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

LIGHTERA has one of the longest and most respectable corporate lineages in American business, which goes back to Alexander Graham Bell and the invention of the telephone more than a century ago. We have a proven track record of being first in the industry with application specific fibers, optical connectors, ribbon cables, erbium doped fibers, Raman fiber lasers, fiber gratings and more. Our mission is to provide leading optical innovations and solutions by designing, manufacturing and supplying the best optical fibers, fiber cable and components and devices for our customers, with exceptional service that creates value for our shareholders, customers and employees. To do so, we must continue shaping the future of optical fiber technology by applying the best minds to the challenges our customers will continually face. We currently seek a Optical Fiber Research Intern to help support Lightera Laboratories in our Somerset, NJ location. Lightera Laboratories is pursuing new product development in fiber optics for sensing and medical devices. As part of this work, characterization of next generation fiber optics is required. Lightera Laboratories is seeking a summer intern interested in a mix of hands-on lab work, lab automation, and data analysis. The intern will assist Lightera Laboratories researchers in designing and testing next generation fiber optic components. The successful intern candidate will have demonstrated solid analytical abilities, initiative, and hands on experience in courses or other lab settings. Key qualifications: * Currently working toward a degree in a science and engineering-related field. * Familiarity with optics * Familiarity with programming in C, python and Matlab. * Lab experience with optics preferred * Passion and motivation to solve problems * Strong analytical ability, including use of AI. * Effective written and verbal communication skills * Proficiency with MS Office Teams, Outlook, Word, Powerpoint, and Excel * Discretion when working with confidential and proprietary information Essential duties and responsibilities * Assist Lightera Laboratories researchers in building test setups and using these to characterize new fiber components * Set up and align optics mechanics * Acquire and analyze data * Provide a final report-out presentation on project results Working at LIGHTERA means having the opportunity to realize ideas, experience innovation and discover new solutions for the future. In addition to our dynamic work environment, we offer competitive salaries and generous benefits programs, including medical, dental, tuition reimbursement and a matching 401(k) plan. Employees are expected to serve as role models for safe work practices and behaviors. This includes following established health and safety policies and procedures, maintaining a clean, organized work area, wearing, and properly storing all personal protective equipment (PPE), and actively engaging as a safety conscious worker with personal safety and wellness as a priority. If you'd like to be part of an energetic, world leader in optic fiber solutions, please apply through our Career portal at ******************************* Note: Only those candidates selected for the interview process will be contacted. About Lightera Lightera is a global leader in optical fiber and connectivity solutions, delivering innovative technologies that drive communication networks, data centers, and specialty photonics applications in the medical, industrial and defense markets. With a deep legacy of expertise in optical science, we provide high-performance solutions that enable faster, more reliable, and more sustainable connections for businesses, communities, and industries worldwide. Headquartered in Norcross, Georgia, U.S.A., Lightera operates with a global footprint, serving customers across telecommunications, enterprise, industrial, generative AI, data centers, 5G/6G, utilities, medical, aerospace, defense, and sensing markets. Lightera is part of Furukawa Electric Group, a multi-billion-dollar leader in optical communications. Lightera is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or status as an individual with a disability.

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!

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

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed. Skills You'll Need: Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to thrive in a collaborative, team-oriented environment Ability to reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability required Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimization (CUDA or ROCm) Experience with end-to-end model development Strong opinions on best practices in ML research, tooling, and/or infrastructure INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. The estimated base salary for this role is $300,000 per year.

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.