Postdoctoral scholar jobs in Perth Amboy, NJ - 553 jobs

Job Description: the successful candidate is expected to work closely with the Portfolio Manager in all aspects of signal generation and testing, and extract insights from a catalog of alternative datasets (i.e. non price and volume based) to develop systematic macro trading models. The candidate should be able to start July 2024 (or as soon as possible) in the New York office, with a starting salary of $200,000 and an expected 2024 bonus of approximately $300,000. The candidate should be both creative and rigorous in order to detect meaningful patterns from (very) noisy data and avoid overfitting. The candidate should also feel comfortable working in a fast-moving environment and taking responsibilities for designed/developed solutions. Responsibilities Scouting datasets and helping to onboard the ones that can be useful (cleaning, point in time alignment, etc.) Building hypotheses to create a trading signal Formulating tests to validate (or invalidate) these ideas Implementing the trading signal into production if statistically significant Requirements PhD (preferably) or Masters in STEM, computer science or other quantitative discipline Eligibility and willingness to work from New York office No prior knowledge in finance is needed for PhDs Programming skills in Python Adaptable and rigorous Teamwork and communication skills Strongly Advised: Understanding of machine learning algorithms and application to time series Nice to Have: Experience with Linux

A leading educational institution in New York is seeking a highly motivated Postdoctoral Researcher to contribute to advanced research in Experimental Solid Mechanics. The successful candidate will investigate material behavior under dynamic loading conditions and utilize advanced experimental techniques. A Ph.D. in relevant fields is preferred, along with strong problem-solving and communication skills. This role offers an exciting opportunity for collaboration in multidisciplinary teams. #J-18808-Ljbffr

The American Museum of Natural History is one of the world's preeminent scientific and cultural institutions, and has as its mission to discover, interpret and disseminate information about human cultures, the natural world and the universe through a wide-ranging program of scientific research, education and exhibition. The Barber Sensory Ecology Lab at the American Museum of Natural History (AMNH) seeks a Postdoctoral Research Associate to 1) analyze and publish existing diverse data sets on the consequences of intense anthropogenic (e.g., noise and light pollution) and natural (e.g., whitewater river noise) sensory environments for birds, bats, and insects; 2) collaborate on experimental design, data collection, and analysis efforts on bat-insect interactions under different light pollution regimes at the Southwestern Research Station in Portal, AZ; and 3) design and implement projects on existing large-scale data sets (including museum specimens) on the effects of sensory pollution on animal distributions. Job responsibilities include, but are not limited to: Analyze data sets and prepare data, code, and related materials for publication. Prepare manuscripts for publication including figure preparation, coauthor communication, and managing manuscripts through the journal submission process. Coordinate and perform new data collection including travel to the southwestern research station in Portal AZ. Mentor other lab members in statistical analysis and manuscript preparation. The expected salary for the Postdoctoral Research Associate is $71,181/annual. The AMNH offers an extensive benefits package designed to meet the needs of our dedicated and diverse community. Pay will be determined based on several factors. The hiring range for the position at commencement is based on the type of work and the scope of responsibilities. The salary and placement offered is based on a number of individualized factors, including, but not limited to, skills, knowledge, training, education, credentials, areas of specialization and depth and scope of experience.

Postdoctoral Researcher, Ocean Giants Reports to: Director, Ocean Giants None Country Program/Sector: US/GCP/Marine Conservation Scope: Site-Focused Position Type: Full-Time (1 year) 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.

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 Minimum Qualifications * 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 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 Preferred Qualifications * First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar) * 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 * Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions Responsibilities * Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results * Work with a large team * Help identify long-term ambitious research goals as well as intermediate milestones * Prioritize research that can be applied to Meta's product development * Mentor other team members. Play a significant role in healthy cross-functional collaboration About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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.

We're looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with thousands of high-end GPUs. Trading poses unusual challenges- large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We'll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches-drawn from LLMs, image models, RL agents, recommendation systems, or classical ML methods-to shape the future of ML at Jane Street. You'll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You'll also be hiring new colleagues, attending conferences, and teaching techniques to teammates-all of which we consider to be real and impactful parts of the job. About You If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. There's no fixed set of skills we are looking for, but you should bring: Practical experience working on empirical ML problems 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'd like to learn more, you can read about our interview process and meet some of the team.

Your work will change lives. Including your own. The Impact You'll Make Recursion is a leading TechBio company that is transforming drug discovery by using AI and automation to find new medicines. Its powerful platform combines different technologies to create one of the world's largest proprietary collections of biological and chemical data. By running millions of lab experiments each week and using one of the most powerful supercomputers in the world, Recursion brings together technology, biology, and chemistry to revolutionize medicine. We are looking for an experienced and motivated scientist to join our computational physics team, which is essential for designing molecules in our pipeline by supporting active drug discovery projects. This team also develops and implements cutting-edge methods to keep our platform at the forefront of computational sciences. In this role, you will: * Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success * Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems * Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation * Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community The Team You'll Join You will become an essential member of the Computational Physics team, which supports several phases of drug discovery, from initial hypothesis to lead optimization. The team's goal is to build highly accurate and automated atomistic models and pipelines to obtain crucial molecular-level insights for advancing drug candidates. We employ physics-based and physics-informed models, such as molecular dynamics simulations, absolute and relative binding free energy methods, metadynamics, MM/PBSA, and quantum-mechanical calculations, to enable cost-effective and scalable structure-based drug discovery. We work closely with design teams and collaborate with partners like the AI experts at the Frontier Hub, making our highly accurate methods more accessible and scalable for all. The Experience You'll Need * PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area * Excellent programming skills in Python for tool development * Proven track record in the development of molecular simulation or computational chemistry tools * Basic knowledge of drug discovery processes and the application of molecular simulations in this field * Experience in deploying and orchestrating large-scale jobs using compute clusters or cloud-based infrastructures Working Location & Compensation: This is an office-based, hybrid role in our New York office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $129,000 to $163,300. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion 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, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll drive original research at the boundaries of AI, working on new models, algorithms, and architectures for reasoning in complex environments. Your work will shape the scientific agenda of the lab and inform everything we build. You'll have autonomy to pursue fundamental research and see your ideas deployed in real-world settings. Responsibilities Formulate and explore open questions in deep learning, reinforcement learning, and agent-based AI. Develop novel architectures, algorithms, and theoretical insights. Collaborate with engineers to implement, experiment, and iterate rapidly. Publish, present, and contribute to the broader research community. Mentor and support the next generation of technical talent. Requirements Demonstrated track record of impactful AI/ML research (e.g., papers, open-source, or novel deployments). Deep expertise in at least one of: LLMs, RL, agent-based systems, generative modeling, theory of intelligence. Strong mathematical background (probability, optimization, statistics). Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX). Ability to turn theory into robust, practical code. Up-to-date on the latest research in LLMs from reading papers, articles, or re-implementing breakthroughs. Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

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.

JobID: 210672538 JobSchedule: Full time JobShift: Day Base Pay/Salary: Jersey City, NJ $204,250.00 - $325,000.00 New York, NY $204,250.00 - $325,000.00 Chicago, IL $166,250.00 - $300,000.00 Brooklyn, NY $204,250.00 - $325,000.00 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).

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

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.

Cogent Scientific, an insourced contract research organization, is looking for the right people to accomplish our Mission: to build lasting partnerships that enable the life sciences industry to accelerate discovery and innovation in research and manufacturing. We can offer you the chance to build on your skills and knowledge while working among experts in their fields and with cutting-edge instrumentation. Cogent Scientific offers competitive pay (with relocation bonus as needed), attractive benefits (such as medical/dental/vision insurance; 401(k); parental leave; PTO and paid holidays; etc.) and an exciting work environment. We aim to recruit the best people who stand out among their peers and embody our Core Values: • Client Focused: We only succeed when our clients succeed. • Outstanding: We deliver meticulous results through outstanding performance. • Good: We act ethically and morally. • Employee-Centric: We honor and support our employees. • Nimble: We are prepared to adapt in an ever-changing industry. • Team-Oriented: We collaborate with each other and with our clients. We currently have a role available for a Molecular Biologist to join our New York City team. Job duties include, but are not limited to, the following: Demonstrating laboratory expertise with biologic assays aimed at drug development including monoclonal antibodies (mAb), antibody-drug conjugates (ADC) and T-Cell Engagers (TCE) platforms. Must be proficient in cell culture techniques, ELISA, and flow cytometry (antibody selection, method optimization, analysis). Must be able to maintain multiple cell lines simultaneously (approx. 2-10). Performing functional antibody screening and profiling (including tumor cell signaling assays, internalization, tumor cell killing assays, cytokine release assays). Conducting potential drug candidate evaluation in both in vitro (Pharmacokinetic-Pharmacodynamic (PK/PD), receptor occupancy, density, cytokine release), and ex vivo assays (tumor isolation, analysis of blood cells). Designing and executing studies to select and deliver potential drug candidates. Communicate results at project team meetings, be involved in the coordination and preparation of presentations as needed. Job requirements include, but are not limited to: MS-Molecular/Cellular Biology or related field with 1+ years of lab experience, preferably pharma. BS-Molecular/Cellular Biology or related field with 3+ years of lab experience outside of academia will also be considered. Proficient in Microsoft Office Suite as well as GraphPad Prism, Spotfire, and Benchling. Team player mentality with strong written and verbal communication skills. Will be required to work collaboratively with cross-functional teams including structural biology, molecular biology, biochemistry, and biophysics. The ideal candidate will be enthusiastic, self-motivated and details oriented, with the skills necessary to operate effectively in a fast-paced multidisciplinary environment with flexibility and an adaptable approach to goal delivery. This job posting will close by February 28th 2026 or when a candidate is identified, whichever comes first.

Job Description IVI RMA of North America state-of-the-art fertility clinics is currently seeking a Mid-Level EMBRYOLOGIST to join our growing team at RMA Basking Ridge. This position will be responsible for executing IVF laboratory procedures according to established policies as well as adhering to RMA's quality assurance/control operating procedures. The ideal candidate will build on previous embryology experience and train to perform all aspects of clinical embryology independently and in accordance with RMA's Laboratory Philosophy, Mission, and Performance Standards. Responsibilities: Follow established policies for IVF procedures, specimen handling, and tissue storage Maintain quality assurance, quality control, and operating guidelines for lab services Adhere to quality control policies and documentation requirements. Follow OSHA requirements for safe lab operation Obtain proficiency to perform all lab services efficiently and reliably on an independent basis Participate in clinical and research lab operations as directed Identify problems that may adversely affect patients and facilitate a solution Participate in lab proficiency testing Attend laboratory meetings as requested Attend continuing education programs as requested Requirements: Bachelor's of Science 2+ years embryology experience Demonstrate an aptitude for performance of laboratory services Aptitude to make appropriate judgments regarding clinical significance of laboratory data Excellent work ethic and motivation to learn lab procedures High level of listening and counseling skills Aptitude to work independently and demonstrate good judgment Ability to access, input, and retrieve information from a computer. Knowledge of office procedure and office machines (i.e., computer, fax, copier, etc.) Must be able to work weekends and some holidays IVI-RMA offers a comprehensive benefits package to all employees who work a minimum of 30 hours per week. Medical, Dental, Vision Insurance Options Retirement 401K Plan Paid Time Off & Paid Holidays Company Paid: Life Insurance & Long-Term Disability & AD&D Flexible Spending Accounts Employee Assistance Program Tuition Reimbursement About IVIRMA Global: IVIRMA is the largest group in the world devoted exclusively to human Assisted Reproduction Technology. Along with the great privilege of providing fertility care to our patients, IVIRMA embraces the great responsibility of advancing the field of human reproduction. IVIRMA Innovation, as one of the pillars of IVIRMA Global, is a renowned leader in fertility research and science. Check out our websites at: *********************** & *********************** EEO “IVIRMA is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: IVIRMA is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at IVIRMA are based on business needs, job requirements and individual qualifications, without regard to race, color, religion and/or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. IVIRMA will not tolerate discrimination or harassment based on any of these characteristics. IVIRMA encourages applicants of all ages.” 3 days a week Monday-Friday and every other weekend

At Weston Solutions, Inc. you will do meaningful work and make valuable contributions. Employee ownership at Weston is a path to professional growth and access to diverse opportunities in a highly connected community that works together across key service areas to make a difference in the environment. Weston has continued to evolve and adapt to our changing world as a premier provider of environmental and infrastructure services for over sixty years. In both the public and private sectors our teams help identify, solve, mitigate, and manage critical environmental issues to help clients achieve a more sustainable future. Weston Solutions, Inc. (WESTON) has an immediate opening for a full-time Associate Environmental Scientist in our Edison, NJ office. The position will include work in both field and office environments performing investigations and remediation of hazardous waste sites. Specific duties will include, but are not limited to, sampling environmental media (soil, water, waste, air, etc.), chemical and physical screening of samples in the field, shipping samples to laboratories for analyses, evaluating analytical results, and preparing reports of investigations and Removal Actions. The selected candidate will be an integral member of a project team with key contributions and responsibilities; required to interface with internal and external clients; responsible for project deliverables; and clearly communicating to the project team. The position is for a dedicated contract for the United States Environmental Protection Agency (EPA) Region 2. Fieldwork and travel within NY, NJ, PR and the USVI is required. We are seeking a motivated individual with strong communication, interpersonal and analytical skills; strong organizational skills, ownership and accountability; and the ability to multi-task, meet deadlines and anticipate team needs. The successful candidate will also have a strong desire to support the mission of protecting public health and the environment. Knowledge, Skills & Abilities: * B.S. degree in Biology, Geology, Chemistry, or Environmental Science plus at least 1-2 years of experience related to environmental investigation is required. Experience related to hazardous site investigation is preferred. Experience may include relevant employment or internships. An M.S. degree in any of the above scientific fields may substitute for the experience requirement. * Fieldwork and travel within NY, NJ, PR, and the USVI is required. * Collection of multi-media samples, on-site characterization of environmental samples, donning and doffing of PPE, use and applications of air monitoring and other environmental field instrumentation, and use of GPS. * Evaluation of analytical data quality, environmental data interpretation, excellent writing, report preparation and computer skills (Microsoft Office). * OSHA 40-hour HAZWOPER training in accordance with OSHA 29 CFR 1910. * Experience in the applications of GIS/database management preferred. * Must be eligible to work in the US and have a valid driver's license. * Spanish fluency is a plus. We fully invest in our people: Weston provides a generous, comprehensive benefits package program that offers employees high value options with solid financial protection, meeting the personal needs of its people and their families. * Medical, Dental, Vision, 401K with base and matching employer stock contributions. * Paid time off plus holiday and parental leave. * Life and disability plans. * Critical illness and accident plans. * Work/Life flexibility. * Professional development opportunities. Compensation will vary based upon experience, education, skill level, and other compensable factors.

NYBG Job Description Title Reports to Postdoctoral Research Associate Director of the Herbarium A postdoctoral research associate is sought to develop tools to mobilize data in herbarium specimens for conservation action, as part of a project funded through the Bezos Earth Fund's AI for Climate and Nature Grand Challenge. The postdoctoral research associate will report to Emily Sessa, Patricia K. Holmgren Director of the William and Lynda Steere Herbarium at NYBG. Herbaria-scientific collections of preserved plant specimens-represent one of the most important frontiers for plant species discovery and for understanding, assessing, and protecting threatened biodiversity. Globally, billions of herbarium specimens contain critical information on species distributions, traits, and environmental responses, yet much of this information remains locked in images and unstructured labels. This project harnesses recent advances in artificial intelligence to unlock these underutilized data at unprecedented scale, with the goal of accelerating biodiversity discovery, informing conservation priorities, and supporting evidence-based environmental decision-making. The postdoctoral research associate will play a central role in this effort by designing and implementing a web-based AI tool that takes digitized herbarium specimen images as input and produces structured textual outputs, including specimen-level data extraction and synthesized summaries, specifically tailored to support IUCN Red List assessments for species of priority conservation concern. Responsibilities will include developing and integrating vision-language and computer vision models, translating AI outputs into formats aligned with Red List criteria, and collaborating with conservation scientists to ensure the tool is accurate, interpretable, and usable for real-world conservation assessments. Specific Duties & Responsibilities: ● Design, develop, and implement a web-based AI tool that ingests digitized herbarium specimen images and outputs structured textual data to support IUCN Red List assessments. ● Develop, train, and evaluate computer vision and vision-language models for tasks such as specimen interpretation, trait extraction, label parsing, and metadata synthesis. ● Translate model outputs into structured specimen-level data and higher-level summaries aligned with IUCN Red List criteria (e.g., distribution, population trends, threats, and habitat information). ● Collaborate with AI and conservation partners to define requirements, validate outputs, and ensure biological and conservation relevance. ● Design workflows to handle large-scale herbarium image datasets, including data preprocessing, quality control, and performance evaluation. ● Implement and maintain reproducible, well-documented codebases, following open science and best practices in research software development. ● Contribute to the deployment and maintenance of AI models and web services, ensuring usability, scalability, and accessibility for end users. ● Assess and document uncertainty, bias, and limitations of AI-generated outputs, particularly in conservation decision-making contexts. ● Prepare manuscripts, technical documentation, and/or project reports for peer-reviewed publication and stakeholder dissemination. ● Engage in a collaborative postdoctoral mentoring plan. ● Participate in NYBG Science activities and outreach related to the project. Qualifications: * PhD in a relevant field (e.g., computer science, data science, bioinformatics, biodiversity informatics, ecology, botany, evolutionary biology, or a related discipline). * Demonstrated experience with computer vision and/or vision-language models, particularly for image analysis or multimodal data. * Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, JAX), as well as experience working with large datasets. * Experience developing research software or analytical pipelines, including writing clear, well-documented, and reproducible code. * Ability to translate technical outputs into usable scientific products, such as structured datasets, summaries, or decision-support tools. * Strong written and verbal communication skills, with the ability to collaborate effectively across disciplinary boundaries (e.g., AI researchers, herbarium personnel, conservation scientists). * Demonstrated ability to work independently while contributing productively to a collaborative research environment. Physical Demands & Work Environment: While performing the duties of this position, the employee is required to, at minimum, stand; walk; sit; use a computer extensively. Occasional travel to conferences or project meetings may be necessary. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. Baseline Work Schedule: 35-hour work week; some extended hours based on deliverables may be required. Generally, work hours are Monday - Friday 9 to 5 with 1-hour lunch break, with evening, weekend, and holiday work as needed. NYBG's hybrid work policy applies to this position. The primary work location is at the New York Botanical Garden. Salary: $65,000 Please include a cover letter describing your interest in this opportunity and how your previous experience relates to the specific duties and responsibilities of this position. Application review will begin on Friday, February 13, 2026 though the role will remain posted until filled.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities - Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods - Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps - Stay up-to-date with advancements and the latest modeling techniques in the field - Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. About the team Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production. Basic Qualifications - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting. #J-18808-Ljbffr