Researcher Jobs in Newark, NJ

About Us We're a fast-growing AI research organization on a mission to build next‑generation agentic systems that empower humans, whether by augmenting developer productivity or automating complex enterprise workflows. Leveraging state‑of‑the‑art large language models, reinforcement learning, and multi‑agent architectures, we design and deploy production‑quality AI agents that learn, adapt, and deliver real value in real environments. Role: Research Scientist, Agent & Model Optimization As a Research Scientist on our Applied AI team, you will own end‑to‑end research and experimentation to push the frontier of agent abstractions, model orchestration, post‑training techniques (fine‑tuning, reinforcement learning, etc.), prompt engineering, and multi‑agent workflows. You'll collaborate closely with engineers, product teams, and domain experts to prototype, validate, and productionize novel approaches that make our AI agents smarter, safer, and more contextually aware. What You'll Do Design & Run Experiments Architect and implement large‑scale reinforcement learning experiments to refine code‑generation and task‑oriented agents Develop and evaluate post‑training techniques (fine‑tuning, RLHF, prompt tuning) on state‑of‑the‑art language models Prototype & Productionize Build rapid prototypes to test new agent designs, prompt strategies, and model orchestration patterns Work hand‑in‑hand with software and ML engineers to transition research prototypes into reliable, scalable production services Collaborate & Mentor Partner with cross‑functional teams (agent design, world modeling, product) to prioritize research questions and align on deliverables Mentor junior researchers and interns, fostering best practices in experimental design, code quality, and scientific communication Stay on the Cutting Edge Continuously survey the latest academic and industry developments in reinforcement learning, LLM research, and agentic AI Publish findings in top‑tier conferences or contribute to open‑source projects as opportunities arise What We're Looking For Experience 3-8 years of hands‑on experience in applied ML research, with demonstrated success in developing and scaling RL algorithms or post‑training pipelines for large language models Proven track record driving projects from ideation through to production-bonus if you've shipped LLM‑powered services or developer tools Technical Skills Expert proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX) Deep understanding of reinforcement learning methods (policy gradients, actor‑critic, off‑policy learning) and fine‑tuning/LLM optimization techniques Familiarity with multi‑agent systems, prompt engineering, and model orchestration architectures Education & Publications MS or PhD in Computer Science, Machine Learning, Robotics, or a related field; or equivalent industry experience Strong publication record in top‑tier ML/AI conferences or demonstrated open‑source contributions (preferred but not required) Soft Skills Excellent problem‑solving abilities and a bias for experimentation Strong communication skills, capable of explaining complex ideas to both technical and non‑technical audiences Eager to work in a fast‑paced, collaborative environment and thrive on taking ownership Compensation & Benefits Competitive Salary & Equity - aligned to experience and market benchmarks Flexible Work Options - remote‑friendly, with opportunities for in‑office collaboration in major tech hubs Health & Wellness - comprehensive medical, dental, and vision coverage; mental health resources Professional Growth - annual conference budget; tools & stipends to support your research Work‑Life Balance - generous paid time off, flexible hours, and a focus on trust, not time in chair We're committed to building an inclusive environment where every team member can do their best work. If you're passionate about advancing AI agents that amplify human potential-and you meet most of the qualifications above-we'd love to hear from you!

We are seeking a highly motivated and dedicated postdoctoral researcher to join the group of Dr. Wenwei Hu at Rutgers Cancer Institute/Rutgers University. The research interest of our lab is to study the development and progression of cancer, including cancer metabolic reprogramming and tumor microenvironment. Specific research directions in the lab include: 1) the regulation and function of tumor suppressor p53 and its gain-of-function mutants in cancer; 2) the role of tumor suppressors, including p53 and its target genes, in the tumor microenvironment, metabolic reprogramming, tumor immunology, and cancer cachexia. (Nature Communications, 5:5218; 8:1823; 12:3371; 15:137; 15:627; 16:1762; Nature Metabolism, 4:1830; Cell Stem Cell, 30: 1520; Blood, 140: 2076; Genes Dev, 30:1956; 31: 1641; Cell Death Differ, 21:1792; 22:1824; eLIFE, 4:e08401; 5:e10727; 7:e34701; JCI, 130:3253; 133:e164354). More information about the lab is available at: ******************************** Candidates should have a Ph.D. Degree and strong background and skills in molecular biology, cancer biology, and/or cancer immunology as evidenced by a publication record consistent with their career level. Highly motivated and has the ability to work independently as well as in a collaborative environment. Experience working with mouse models is a plus. The qualified candidate has the opportunity to be supported by a T32 fellowship on Cancer metabolism and growth and tumor-host interactions. Housed in the Rutgers Cancer Institute of New Jersey, the Hu lab is located at a vibrant and interdisciplinary basic/translational/clinical research facility in New Brunswick, NJ. The Hu Lab leverages a wide range of research approaches, including cell & molecular biology, biochemistry, animal models, immuno-profiling, metabolomics, and bioinformatics. Postdocs have abundant opportunities to interact with a vast research community offered by Rutgers campuses and participate in various career training and activities. New Brunswick has convenient access to major cultural centers such as New York city and Philadelphia. Applicants should send a CV and names of three references by email to: Wenwei Hu, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903. E-mail:**********************

The Beck lab in the Center for Human Genetics and Genomics at the New York University Grossman School of Medicine is seeking highly motivated and talented candidates for fully funded postdoctoral positions starting Summer 2025. Our group is interested in understanding the genetic determinants of disease and utilizing this information to define the mechanisms underlying pathologic processes. We use a combination of patient derived samples, mouse and cellular models, and in vitro biochemical tools to dissect these pathways. Our major focus is on characterizing autoinflammatory diseases, or diseases of constitutive activation of the innate immune system, frequently caused by genetic mutations. In particular our recent discovery of VEXAS Syndrome (Vacuoles, E1, X-linked, Autoinflammatory, Somatic Syndrome) a severe inflammatory disease affecting hundreds of thousands of individuals, that is caused by somatic mutations in UBA1, highlights the power of integrating clinical studies, human genetics, and molecular biology to uncover previously unrecognized pathways and diseases. We are looking for postdocs with expertise in any of these fields (immunology, cell signaling, mouse models, biochemistry, experimental pharmacology) to join our new lab and lead a stimulating project. Some of our previous published work can be found below: - Beck DB et al. Somatic Mutations in UBA1 and Severe Adult-Onset Autoinflammatory Disease. N Engl J Med. 2020 Dec 31;383(27):2628-2638. doi: 10.1056/NEJMoa2026834. Epub 2020 Oct 27. PMID: 33108101; PMCID: PMC7847551. -Collins JC et al. Shared and distinct mechanisms of UBA1 inactivation across different diseases. EMBO J. 2024 May;43(10):1919-1946. doi: 10.1038/s44318-024-00046-z. Epub 2024 Feb 15. PMID: 38360993; PMCID: PMC11099125. -Ferrada MA et al. Translation of cytoplasmic UBA1 contributes to VEXAS syndrome pathogenesis. Blood. 2022 Sep 29;140(13):1496-1506. doi: 10.1182/blood.**********. PMID: 35793467; PMCID: PMC9523373. The Beck lab is part of the vibrant NYU School of Medicine Campus located in the heart of Manhattan. In addition, NYU offers postdoctoral scholars with competitive benefits, subsidized housing in New York City, and many career development opportunities. More information can be found here: *************************************************** Prospective candidates should email an application package to Dr. Beck containing a CV and a short cover letter describing your expertise and research interest. Applications will be reviewed on a rolling basis. Contact: Dr. David Beck Center for Human Genetics and Genomics New York University Grossman School of Medicine *************************

About Us: At the Center for Food as Medicine, 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.

Postdoctoral Researcher, Ocean Giants Reports to: Director, Ocean Giants None Country Program/Sector: Marine Conservation Scope: Site-Focused Position Type: Full-Time Join a dynamic team with a proven track record in achieving change to address conservation challenges and threats to marine mammals in the New York Bight. The Postdoctoral researcher will gain valuable experience in applied conservation and research as part of the Ocean Giants Program at the Wildlife Conservation Society. This position will work primarily on an acoustic monitoring project in the New York Bight. The primary focus of the project is detection, classification and potentially localization of cetacean vocalizations, as well as characterization of ambient noise using archival and near-real time recording technology. The data sets will include both historic and planned recordings from near-real time acoustic monitoring buoys deployed as part of a project to detect and alert in near real-time the presence of the four key species of large whales present in the New York Bight (North Atlantic Right Whale, humpback whale, fin whale and sei whale). Analysis of the archival data as well as other acoustic data sets collected from recorders placed elsewhere in the New York Bight will involve both manual and automated methods for documenting all vocalizing marine mammal species. This position will be expected to work independently under the supervision of the Director, Ocean Giants and liase with the Marine Conservation Scientist. The postdoctoral researcher will be expected to organize and process acoustic data and conduct analyses to satisfy the project goals. Data processing will involve some manual validation and classification of automated detections of species present in the New York Bight, and the development of automated detectors and other novel related approaches when needed. The position will be expected to both lead and contribute to report writing and publications. Additional opportunities may include 1) assisting with field work activities in the New York Bight collecting marine mammal sightings, photo identification (ID), genetic and tag data 2) contribute to policy, education, and advocacy initiatives, 3) work actively on current or planned projects on ocean noise, eDNA and synthesis of multiple types of data. The positions will require individuals that are skilled at analysis of large acoustic data sets, spatial analyses, and strong data-management, analytical and writing skills with a demonstrated ability to lead and finish relevant projects with a good publication track record. Additional beneficial skills include advanced mathematical modeling (e.g., habitat modeling, mark-recapture demographic modeling), ability to work with and integrate acoustic data with other data types, and extensive marine mammal field work experience. This position is expected to have excellent communication skills and the ability to work positively in a team environment and under difficult conditions when in the field. Major Responsibilities: * Organizing and processing acoustic data (manual processing along with designing, testing, and running automated detectors for species present in the New York Bight). * Characterization and analysis of ambient noise. * Conduct acoustic analyses to satisfy the project goals. * Report writing and publications. Additional opportunities include: * Assisting with field work activities in the New York Bight collecting marine mammal sightings, photo ID, genetic and tag data. * Contributing to policy, education, and advocacy initiatives. * Work actively on current or planned projects on ocean noise, eDNA and synthesis and integration of multiple types of data. * Familiarity with field deployment of acoustic recording gear and/or telemetry and other assessment methods.

+ We are seeking a highly motivated and skilled Ads Mixed Method Researcher to join our dynamic marketing team. This role involves utilizing a combination of qualitative and quantitative research methodologies to analyze the effectiveness of advertising campaigns, consumer behavior, and market trends. The ideal candidate will have strong experience in both data-driven research and narrative insights, with a focus on optimizing advertising strategies and improving campaign performance. **Responsibilities:** + Conduct mixed methods user research. + User study moderation. + Administer questionnaires and surveys. + Assist other user researchers with various user research preparation activities. + Literature reviews. + Liaise with participant recruiting teams and participant onboarding. + Note taking and data capture. + Highlight-video creation. + Data analysis/synthesis. + Draft findings, recommendations, and reports based on user research. + Advocate research findings to diverse audiences through written and oral presentations. + Work with content at many levels (style guides, templates, analytics). Partner with Product, Program Management, UX, UXR, engineering, support operations, legal, PR, and other editorial groups to ensure content consistency and transparency. **Experience:** + 5 years of experience in applied research setting or similar. + Proven experience in product research within an applied research setting. + Demonstrated experience preparing and conducting usability studies. + Excellent analytical skills, particularly in observing user behavior. + Strong oral and written communication skills, capable of presenting findings concisely and effectively. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Wall Street Journal is seeking an experienced and driven researcher with expertise in open-source investigations to join our award-winning Investigations team, focusing on contributing high impact, revelatory stories that our readers can't find anywhere else. Investigations are at the core of our mission to deliver distinctive, in-depth journalism. As a member of our investigations team, you will collaborate closely with editors, reporters and visual teams across our global newsroom to uncover hidden truths and bring to light stories of significant impact. You will work alongside the Investigations editors and others to develop and execute some of the Journal's most ambitious journalism. Your role will involve diving into complex topics and using your mastery of various public (records) databases and visual and digital reporting techniques to reveal critical information, sometimes off of fast-moving events, that serves the public interest. You also will work across breaking news situations alongside the wider newsroom, supporting reporters and editors. To succeed in this role, you must have a proven track record in using sophisticated online information-gathering and reporting skills to jump on news, tackle major projects and break high-impact stories. Key Responsibilities * Use open-source reporting techniques including geolocation and chronolocation, visual analysis, satellite imagery interpretation, social media tracking, database reporting and other tools to produce revelatory investigations into the worlds of business, finance, politics and other areas of power that bring about change. * Identify and pitch the most urgent investigative targets, with the discipline to juggle quicker hit stories off the news and longer term reporting targets. * Collaborate with reporters across the newsroom to tell the most important stories that connect with readers. * Jump on breaking news to find people, identify relationships and dig up legal and financial histories. * Maintain the highest standards in reporting, ensuring accuracy and fairness. You Have * At least five years of experience in open source reporting and database research at a major news outlet. * A portfolio of high profile stories that showcase the use of advanced digital and data analysis skills. * Experience with collecting and analyzing satellite imagery and ship and flight tracking. * Experience using databases such as Nexis, Factiva, public records (TLO, Accurint), legal (Courtlink, PACER), and business (CapitalIQ, FactSet) * Deep understanding of business and finance topics and the ability to explain complicated issues clearly. * Extensive knowledge of publicly available databases, particularly financial and legal data sources. * A commitment to journalistic excellence and integrity, with a willingness to experiment and push the boundaries of investigative journalism. * Ability to leverage GIS software, visualize data, perform network analysis and monitor social media. * Extensive experience with digital verification, forensic analysis and metadata extraction. This position reports to the Investigations Editor in New York. Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.EEO/AA/M/F/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at *******************************. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Business Area: Dow Jones - News - WSJ Job Category: Editorial/Journalism Union Status: Union role Pay Range: $90,000 - $130,000 We recognize that attracting the best talent is key to our strategy and success as a company.As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates.The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process. Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Similarly to salary, for bonus eligible roles, targets are set based on a variety of factors including competitive market practice. For benefits eligible roles, in addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce.. Since 1882, Dow Jones has been finding new ways to bring information to the world's top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron's, MarketWatch and Financial News. This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day. Req ID: 44820

Meta is seeking a Postdoctoral Researcher to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people by maximizing their personal utility and advertiser value. We are committed to making fundamental advances in Artificial Intelligence and Machine Learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture, representation learning, optimization, and generally a deep understanding of the users, ads, and any signals and contents related to their interactions. As a Postdoctoral Researcher, you will closely collaborate with Researchers and Engineers within the organization and across the company (e. g. , FAIR), push the boundaries of state-of-the-art research in AI and ML, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Currently has, or is in the process of obtaining a Ph. D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, ML Systems, or related technical field or equivalent practical experience. Degree must be completed prior to joining Meta. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment. Experience with Deep Learning frameworks such as Pytorch or Tensorflow. Experience with Python, C++, C, Java, or other related languages. Experience with research and building systems based on Machine Learning and/or Deep Learning methods. Experience in solving modeling problems using AI or Machine Learning methodologies. Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar. Research experience in reinforcement learning, causal learning, graph learning, graph neural networks, sequence modeling, next-generation and large-scale model architectures, ML systems and hardware-software co-design, data-related in general (e. g. , semi/self/un-supervised learning, generative techniques, content understanding, LLM, etc. ), or similar. Extensive experience in designing and developing algorithms using popular Machine Learning frameworks (e. g PyTorch) in Python. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e. g. GitHub). Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training. Experience working and communicating cross functionally in a team environment. Experience in solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward.

We're looking for smart and curious individuals from industry and academia 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 H100s/200s. Trading poses unusual challenges-extreme latency constraints, large datasets, complex feedback loops, and a high level of noise-that force us to search for novel tricks. 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 The 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 ********************************** .

About Us AXQ Capital is an investment management firm that aims to employ systematic strategies and generate consistent alpha in global markets. We are a group of young and passionate quants dedicated to applying scientific approaches and cutting-edge technologies to the field of quantitative research. Job Duties As a Quantitative Researcher Intern, you will work closely with senior researchers and portfolio managers on trading strategies and research projects. You will leverage our top-notch research platform and trading infrastructure to develop alpha models and trading algos. We are here to help you acquire skills and knowledge to solve problems and meet new challenges in ever-evolving global financial markets. You will have enormous opportunities to learn and grow. This internship is offered during both the summer and fall terms. Qualifications Pursuing a Bachelor's, Master's, or Ph.D. degree from a top-tier university in a technical or quantitative field, such as math, physics, statistics, computer science, or engineering. Expertise in a programming language such as Python. Strong attention to detail. Excellent communication skills, both written and verbal. A collaborative approach to problem-solving. A finance background is not required.

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

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

Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD. You will contribute to the development of novel machine learning approaches for biological data analysis and interpretation You will design and implement experiments to evaluate and improve AI models using large-scale biological datasets You will collaborate with our interdisciplinary team to tackle complex challenges in molecular biology and drug discovery You will present your research findings and contribute to publications in top-tier conferences and journals You will have the opportunity to work on projects that directly impact the future of medicine and biotechnology Who We're Looking For You are currently pursuing a PhD in Machine Learning, Computer Science, Computational Biology, or a related field You have a strong background in deep learning, with experience in frameworks such as PyTorch or TensorFlow You have a proven track record of research, demonstrated by publications at conferences such as NeurIPS, ICML, ICLR, or relevant computational biology venues You are proficient in Python and have experience with large-scale data processing and analysis You have excellent problem-solving skills and the ability to work independently on complex research problems You are passionate about applying AI to solve real-world challenges in biology and medicine You have strong communication skills and can effectively present technical concepts to diverse audiences You thrive in a fast-paced, startup environment and are excited about making a significant impact in a growing field Bonus Points Experience with biological data analysis or computational biology projects Familiarity with generative AI models, such as transformers or diffusion models Contributions to open-source machine learning or bioinformatics projects Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking. You own your day-to-day management. What we care about is that we all hit our milestones. Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!

Ataraxis is an AI precision medicine company working at the intersection of multi-modal artificial intelligence and oncology. We develop and deploy AI-native tools to assist physicians in selecting the most optimal treatments for their patients. Our mission is to change how cancer is treated and impact at least 50% of new cancer cases by 2030. Our first test for breast cancer patients was developed and evaluated in a validation study on over 8,000 patients from 15 international institutions. Ataraxis Breast was shown to improve the accuracy of gold standard tests by 30% and enable testing expansion to 100,000 new patients annually. At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. At Ataraxis, you will join an exceptional team at the forefront of healthcare-focused AI research and deployment. As a frontier AI lab, we bring together leading AI researchers, medical doctors, and industry veterans. Our advisors include AI pioneers such as Yann LeCun and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine. Ataraxis has raised $24 million in funding, including a recent $20.4 million Series A round led by top venture capital funds such as AIX Ventures (Hugging Face, Perplexity), Thiel Capital, Founders Fund (OpenAI, SpaceX, Palantir, Oscar Health), and Obvious Ventures (Recursion). Our company was recently covered in an exclusive story in TechCrunch, "Not all cancer patients need chemo." We are an AI-native company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential. Responsibilities Design and implement novel machine learning models and methods for self-supervised learning, survival analysis, multi-modal learning, causal inference and interpretability. Translate machine learning and statistics papers into production-ready code. Build robust model evaluation frameworks and monitor model performance. Disseminate the results by co-authoring research papers and abstracts. Collaborate with a multidisciplinary team of engineers and scientists. Qualifications BS, MS, or PhD studies in progress. Passion for research, attention to detail and ability to drive tasks to completion. Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS). Excellent understanding of core machine learning concepts. Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning. Excellent skills in Python and PyTorch. Experience in deep learning and at least one of {self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability, computational pathology}. The earliest possible start date is May 15. We expect at least a three month full time commitment. This is an in-person internship, and you will be expected to work full-time out of our office every day.

Capula Investment Management is a leading global quantitative hedge fund with an AUM of $30 billion. We manage absolute return, enhanced fixed income, macro and alpha strategies for a diversified group of investors worldwide. Capula invests in a broad universe of asset classes, including fixed income, equities, currencies and commodities, as well as derivatives related to these asset classes. The Internship Programme: We welcome 2026 summer internship applications for all of our global offices (London, New York, Hong Kong, Singapore and Tokyo), however the majority of the interns will join our London headquarters. Please specify in your application which office(s) you would like to be considered for. This is a fantastic opportunity to work with some of the industry's best traders who have an excellent, proven track record. You'll be matched with a specific team and will take away with you first-hand experience of working with quantitative traders, developing specific strategies and models that will be put into practice. The internship typically runs for ten weeks from June to August, however we can be flexible regarding exact dates. At the start of the summer, you will join all other global interns for an 'Intern Orientation Week' in London. Throughout this week you will participate in training and activities that will help prepare you with the skills and knowledge to excel in the internship: * Training on financial markets; * Trading Simulation game; * Presentations from senior stakeholders and managers of front office and support teams; and * Social and networking activities including an intern dinner with Senior Portfolio Managers Your responsibilities as an intern will include: * Working closely with Traders, Portfolio Managers and Quantitative Researchers on defined project(s) leading directly to trading decisions; * Receiving and participating in training in financial modelling, analysis, research methods and trading strategies; * Evaluating market conditions and economic data analysis; * Assisting in developing research ideas to support the desk's trading strategies; and * Developing tools and reports to aid in trade analysis and identification The recruitment process is typically as follows: * Initial interview(s) with the Talent team * Python coding challenge * Quantitative interview with a member of the Quantitative Strategy team * Final interview with a Senior Trader or Portfolio Manager, and Trading Director Diversity, Equity and Inclusion We look to attract, recruit, develop, reward, promote and retain exceptional talent, basing judgement solely on an individual's suitability for the job and their potential for future success. We promote fair and equal treatment through our workplace practices and policies and are committed to maintaining an enjoyable and supportive work environment free from harassment and intimidation. We have an equal opportunities policy that applies to all stages of recruitment and selection. Shortlisting, interviewing and selection will always be carried out without regard to gender, gender reassignment, sexual orientation, marital or civil partnership status, colour, race, nationality, ethnic or national origins, religion or belief, age, pregnancy or maternity leave or trade union membership. We use external recruitment firms to supplement our hiring process. Any external recruitment partners we use are required to identify and engage with a diverse pool of candidates. Capula provides recruitment and interview training to hiring managers to ensure they are aware of anti-discrimination laws and to promote a best practice selection process so that the right candidates with the right skills set for the role are hired. We actively promote equality of opportunity for all with the right mix of talent, skills and potential, and welcome applications from a wide range of candidates, including those with criminal records. We select all candidates for interviews based on their skills, qualifications and experience.

The Wall Street Journal is seeking an experienced and driven researcher with expertise in open-source investigations to join our award-winning Investigations team, focusing on contributing high impact, revelatory stories that our readers can't find anywhere else. Investigations are at the core of our mission to deliver distinctive, in-depth journalism. As a member of our investigations team, you will collaborate closely with editors, reporters and visual teams across our global newsroom to uncover hidden truths and bring to light stories of significant impact. You will work alongside the Investigations editors and others to develop and execute some of the Journal's most ambitious journalism. Your role will involve diving into complex topics and using your mastery of various public (records) databases and visual and digital reporting techniques to reveal critical information, sometimes off of fast-moving events, that serves the public interest. You also will work across breaking news situations alongside the wider newsroom, supporting reporters and editors. To succeed in this role, you must have a proven track record in using sophisticated online information-gathering and reporting skills to jump on news, tackle major projects and break high-impact stories. Key Responsibilities Use open-source reporting techniques including geolocation and chronolocation, visual analysis, satellite imagery interpretation, social media tracking, database reporting and other tools to produce revelatory investigations into the worlds of business, finance, politics and other areas of power that bring about change. Identify and pitch the most urgent investigative targets, with the discipline to juggle quicker hit stories off the news and longer term reporting targets. Collaborate with reporters across the newsroom to tell the most important stories that connect with readers. Jump on breaking news to find people, identify relationships and dig up legal and financial histories. Maintain the highest standards in reporting, ensuring accuracy and fairness. You Have At least five years of experience in open source reporting and database research at a major news outlet. A portfolio of high profile stories that showcase the use of advanced digital and data analysis skills. Experience with collecting and analyzing satellite imagery and ship and flight tracking. Experience using databases such as Nexis, Factiva, public records (TLO, Accurint), legal (Courtlink, PACER), and business (CapitalIQ, FactSet) Deep understanding of business and finance topics and the ability to explain complicated issues clearly. Extensive knowledge of publicly available databases, particularly financial and legal data sources. A commitment to journalistic excellence and integrity, with a willingness to experiment and push the boundaries of investigative journalism. Ability to leverage GIS software, visualize data, perform network analysis and monitor social media. Extensive experience with digital verification, forensic analysis and metadata extraction. This position reports to the Investigations Editor in New York. Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.EEO/AA/M/F/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at *******************************. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Business Area: Dow Jones - News - WSJ Job Category: Editorial/Journalism Union Status: Union role Pay Range: $90,000 - $130,000We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process.Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Similarly to salary, for bonus eligible roles, targets are set based on a variety of factors including competitive market practice.For benefits eligible roles, in addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce..

Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence. Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta. Research background in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, or related areas. Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research. Experience solving analytical problems using analytic and quantitative approaches. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar). Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions. Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment. Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward.

Meta is seeking a Postdoctoral Researcher to join Meta Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas computer vision, vision-language models, LLMs, agents, planning, and physical word understanding. Our postdoctoral researchers have opportunities to make core algorithmic and system advances and apply their ideas at an unprecedented scale. The ideal candidate should have a keen interest in producing new, open science to make embodied agents more intelligent.The mission of Meta FAIR's Agent research is to explore how to create general agents capable of understanding our physical and digital worlds and using this knowledge to take actions for you. These digital agents take actions by actuating UIs and making API calls to off load our daily digital chores. Some research directions of interest are: - Investigate algorithmic development and application of foundation models for digital agents- Representation learning for agent tasks- Developing simulation platforms for agent AI research (e.g. visual web arena)- Multimodal perception- Continual learning in interactive environments- Developing efficient models deployable to mobile devices and hardware **Required Skills:** Postdoctoral Researcher, Embodied AI (PhD) Responsibilities: 1. Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence. 2. Invent/improve novel data-driven paradigms for embodied intelligence, including digital agents, AR, and VR, leveraging a variety of modalities (images, video, text, audio, tactile, etc). 3. Develop algorithms based on state-of-the-art machine learning and neural network methodologies. 4. Define, build and benchmark new capabilities needed for the next generation of AI. 5. Conduct research towards long-term ambitious research goals while identifying intermediate milestones. 6. Conduct research to advance the science and technology of intelligent machines. 7. Conduct research that enables learning the semantics of data across multiple modalities (images, video, text, audio, speech and other modalities). **Minimum Qualifications:** Minimum Qualifications: 8. Currently has or is in the process of obtaining a PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. 9. Experience with deep learning frameworks (such as pytorch, tensorflow) and Python. 10. Research experience in Digital Agents, Vision Language Models, Computer Vision, LLMs, NLP, reinforcement learning and tool usage. 11. Experience communicating research for public audiences of peers. 12. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. 13. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. **Preferred Qualifications:** Preferred Qualifications: 14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, ECCV, ICCV, NeurIPS, or SIGGRAPH. 15. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub). 16. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources. 17. Experience building systems based on machine learning and/or deep learning methods. 18. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. 19. Experience working and communicating cross functionally in a team environment. **Public Compensation:** $117,000/year to $173,000/year + 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.