Senior scientist jobs in North Bay Shore, NY - 818 jobs

We're not just a workplace - we're a Great Place to Work certified employer! Proudly certified as a Great Place to Work, we are dedicated to creating a supportive and inclusive environment. At Sonic Healthcare USA, we emphasize teamwork and innovation. Check out our job openings and advance your career with a company that values its team members! Location: Rye Brook, NY Days: Monday - Friday Salary range: $150K - $195K Hours: 8:00 AM - 5:00 PM Full-time: Benefit Eligible In this role, you will: * Collaborate with senior leadership to align research and clinical validation priorities with organizational goals. * Supervise and mentor a team of Molecular Technologists working under their supervision, fostering a culture of scientific excellence and continuous improvement. * Oversee daily molecular R&D testing operations, ensuring accuracy, efficiency, and compliance with any regulatory agency at any level. * Lead the design, optimization, and validation of high-throughput molecular assays for clinical and pharma applications. * Conduct comprehensive validation studies, including precision, accuracy, sensitivity, and specificity assessments. * Review the critical steps in developing new assays or technologies. * Provide scientific and technical guidance for assay troubleshooting. * Maintain robust quality assurance and quality control programs; implement corrective actions as needed. * Develop, review, and update SOPs to ensure compliance with regulatory and accreditation standards. * Collaborate with the QA Manager to prepare for inspections and audits; provide detailed reports and documentation. * Identify emerging technologies and methodologies to enhance molecular testing capabilities. * Collaborate with cross-functional teams to support research initiatives and pharma partnerships. * Contribute to strategic planning for laboratory growth and integration of novel molecular platforms. * Perform other job-related duties as assigned. * Ensure adherence to CAP/CLIA/NYSDOH standards, other regulatory agencies, and internal SOPs. * Manage and coordinate the procurement of laboratory supplies and equipment, as well as for special projects. * Ensure all instrument maintenance is performed and documented; administer all established quality control procedures; and troubleshoot instruments effectively when appropriate. * Maintain medical laboratory supplies inventory, determine inventory level, and anticipate needed supplies. We'll give you: * Appreciation for your work * A feeling of satisfaction that you've helped people * Opportunity to grow in your profession * Free lab services for you and your dependents * Work-life balance, including Paid Time Off and Paid Holidays * Competitive benefits including medical, dental, and vision insurance * Help saving for retirement, with a 401(k) plus a company match * A sense of belonging - we're a community! Scheduled Weekly Hours: 40 Work Shift: Job Category: Laboratory Operations Company: Sonic Healthcare USA, Inc Sonic Healthcare USA is an equal opportunity employer that celebrates diversity and is committed to an inclusive workplace for all employees. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, age, national origin, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

COMPANY Volastra Therapeutics, Inc. is a clinical-stage oncology biotech company based in New York City, pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN), a unique vulnerability in cancer. Since its founding in 2019, Volastra has grown to support ongoing discovery efforts and a growing clinical organization. Our lead pipeline programs focus on two distinct inhibitors of KIF18A, a novel therapeutic target. VLS-1488, internally discovered, entered clinical trials in Q4 2023 for the treatment of advanced cancers. Sovilnesib, in-licensed from Amgen in 2023, re-entered the clinic in Q2 2024. Both assets have been granted Fast-Track Designation by the FDA. Volastra is also developing new techniques to understand the biology of chromosomal instability and leveraging these insights to drive forward a preclinical pipeline of therapies against innovative targets. Volastra is backed by top US and European venture firms such as Arch, Polaris, Vida, Droia, Catalio, and B Capital, alongside strategic investment from Eli Lilly. In addition to venture funding, Volastra has established partnerships with oncology leaders. Our senior leadership team is highly experienced, supported by a world-class advisory board. We are headquartered in West Harlem, New York City, within easy reach of Columbia, Cornell, Memorial Sloan Kettering, and surrounding areas. Please visit ****************** for more information. JOB DESCRIPTION: The role of Scientist of Discovery Science will report to the Senior Scientist/Senior Lab Manager in close collaboration with the Chief Scientific Officer and the rest of the Discovery Team, and work towards the successful execution of preclinical development programs. As a scientist, you will play a central role in turning foundational CIN biology into new medicines. You will design, execute, and interpret rigorous experiments that validate targets, elucidate mechanism of action, and accelerate progression from hit/lead to in vivo proof‑of‑concept. This is a bench‑forward position for a creative, self‑directed experimentalist who thrives in a fast‑moving biotech setting and loves collaborating across chemistry, biochemistry, DMPK, in vivo pharmacology, and computational biology. Volastra is a fast-paced biotech company of passionate employees, and there is ample opportunity for the ideal candidate to grow and develop with the organization. Individuals will have, from time to time, the opportunity to gain experience with projects outside their direct scope of work. Job is based in NYC and requires a minimum of 80% in office time. RESPONSIBILITIES: * Participate in key discovery workstreams from target validation through early pharmacology; design clear, decision‑driving experimental plans and timelines. * Interrogate mechanism using genetic perturbation (e.g. CRISPR/Cas9, RNAi), rescue, pathway mapping, and combination studies aligned with CIN biology. * Develop and optimize cellular assays to quantify phenotype and mechanism. * Build translationally relevant target‑engagement and PD assays to enable SAR and inform dose/PK-PD modeling for in vivo studies. * Track record of successfully managing external projects with CRO's from scoping to final data delivery * Work effectively with colleagues across the team to participate in adjacent discovery-related efforts * Provide clear updates to Discovery, Preclinical, and Leadership; write technical reports, support patent filings, and prepare data packages for milestones. REQUIREMENTS: * PhD in Molecular/Cell Biology, Biochemistry, Cancer Biology, Pharmacology or related field (or MS/BS with commensurate depth of industry experience). * 5+ years of hands-on lab experience with a range of relevant research techniques including cell-based assays and molecular biology. In vivo mouse experience is strongly preferred * Understanding of the drug development process from target identification to marketing authorization is strongly encouraged * Excellent communication, organizational, and problem-solving skills * Ability to collaborate well with team members PREFERRED EXPERIENCE: * Direct experience in CIN‑relevant biology (mitosis, microtubules/kinetochore function, replication stress, DNA‑damage response) or image‑based phenotyping * In vivo oncology familiarity (xenograft/PDX syngeneic models), PK/PD thinking, and translational biomarker awareness for discovery‑to‑development continuity. Salary Range: Approximately $130,000 - $150,000 which may vary depending on qualifications, experience, and ultimate leveling. Leveling outside of that stated may be considered for exceptional candidates on a case-by-case basis.

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform. As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: This position offers an opportunity to work in a highly-collaborative environment with world-leading scientists developing and applying state-of-the art profiling technologies to a diverse set of projects at the intersection of the immune system and disease. The successful candidate will work in a fast-paced team and will interface closely with a multidisciplinary team of immunology, molecular biology, and bioinformatics scientists. Specifically, they will contribute to the Molecular Profiling team performing advanced molecular analyses on a diverse set of clinical and experimental samples. The successful candidate will be an excellent team player, agile in thought, energetic, and willing to learn new methods and skills. Location: New York City (On-site role) What will you do? * Augment efforts of teams using a wide range of techniques including, but not limited to immune cell isolation and processing from human specimens, cell cultures and in vitro model systems * Domain expert with single cell genomics methods, and proven experience of innovation in this field (sample optimization, protocol development). * Operation, calibration and maintenance of flow cytometers, cell sorters and related equipment and associated computational hardware * Maintenance of a complete, accurate, and timely electronic record of all experiments using an informatics management system. * Active participation in cross-functional team meetings and effective communication with other members of the lab, computational biology, and software team * Expected to deliver impactful presentations to other colleagues including senior leadership Requirements Required qualifications: * 4-6 years of experience in Molecular Biology or Immunology; * MS with 2-4 years relevant experience, PhD with 1+ years of post-PhD experience is preferred. * Experience with protocols for sample and library preparation for single cell multiomics and familiarity with NGS processes. Additionally, familiarity with high-throughput, automated single cell profiling workflows is preferred. * Experience working with tissue samples, including single cell dissociation. * Experience with sectioning, staining (immunohistochemistry, fluorescence microscopy, in situ hybridization), imaging and basic image analysis is a distinct advantage * Familiarity with high throughput lab data management (e.g. Benchling) * Strong analytical skills, problem solving ability, and innovation aptitude required * Must be willing to discover and learn new software and technology applications quickly * Must have strong attention to detail and an ability to multitask * Ability to collaborate closely with interdisciplinary individuals from a broad range of backgrounds * Ability to work independently with minimal supervision * Ability to work successfully in a fast-paced environment * Excellent interpersonal skills and ability to effectively work as part of a team are essential * Excellent organization and time management skills Desired personal traits: * You want to make an impact on humankind * You prioritize "We" over "I" * You enjoy getting things done and striving for excellence * You collaborate effectively with people of diverse backgrounds and cultures * You have a growth mindset * You are candid, authentic, and transparent Compensation: This position offers a salary typically between $105,000 - $140,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills. * Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform SparkHire. You can read more about how we process personal data here: ***************************************

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

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative. The Team The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies. Our Vision * We pursue large scientific challenges that cannot be pursued in conventional environments * We enable individual investigators to pursue their riskiest and most innovative ideas * The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity The Biohub is seeking an accomplished computational biologist and machine learning/AI specialist to join our interdisciplinary team. This role requires experience in research settings, a background in biology, and a proven ability to design, evaluate, and publish innovative computational methodologies that leverage machine learning, statistics, language modelling, and AI to advance biological research and discovery. Research projects to accelerate the rate of scientific discovery will be assigned by the President of the New York location, and in collaboration with research teams across the organization. The ideal candidate will have a strong track record of accomplishments and a dedication to collaborative work within a highly interdisciplinary environment. This role is based out of the New York location. What You'll Do * Contribute to a dynamic, innovative, and collaborative program that aligns with the mission of Biohub. * Develop and evaluate cutting-edge computational / AI methodologies using data generated from across all research groups and incorporating relevant available datasets for to develop predictive models. * Collaborate within an interdisciplinary research environment to develop, test, and validate models. * Engage with colleagues throughout the Biohub to uphold our values of scholarly excellence, innovation, open communication, hands-on hacking, and partnership. * Communicate progress and results with colleagues inside and outside of your team. * Publish and disseminate impactful findings through preprints (med Rxiv, bio Rxiv) and/or software repositories (e.g., GitHub). * Work with the CZ Biohub team to patent and license technologies resulting from your research. What You'll Bring Essential - * PhD in Computational Biology, AI / Machine learning, Applied Statistics or a MS plus relevant job experience. * Background in relevant areas of biomedical science, demonstrating a deep understanding of cellular biology, transcription and protein signal transduction. * 2-4 years of post-doctoral and/or industry experience demonstrating the ability to implement, evaluate, and create new computational methodologies that leverage machine learning, statistics, and AI for biological research and discovery. * Experience in building and evaluating machine learning and/or neural network models on biological data, with a deep understanding of feature selection, regularization, model introspection, and interpretability. * Proficiency in using and modifying probabilistic learning or deep learning models such as RNNs, GNNs, protein sequence models, or natural language processing models. * Proven track record of individual innovation, as well as a strong ability to work collaboratively. * Outstanding interpersonal and communication skills. * Demonstrated commitment to open science and alignment with the mission and values of CZ Biohub. Compensation The New York City, NY base pay range for a new hire in this role is $169,000 - $211,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. * Provides a generous employer match on employee 401(k) contributions to support planning for the future. * Paid time off to volunteer at an organization of your choice. * Funding for select family-forming benefits. * Relocation support for employees who need assistance moving If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. #LI-Onsite

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunity The vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components. Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making. Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages. Work in collaboration with various teams, in particular the experimental materials science team. Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development. Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops. The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking. Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation. About you Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs. At least 3 years of research experience in AI, with a proven track record of designing agentic systems. Familiarity with large-scale model training. Proficiency in Python and relevant ML libraries (e.g., PyTorch). Strong publication record in top-tier AI/ML conferences or journals. Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively. Pluses Passionate about leveraging ML for science related problems and a commitment to doing world-class research. Domain knowledge of materials and/or molecules. Familiarity with large-scale model training. Experience with LLM engineering. Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences. What we offer A competitive compensation package also includes the best in benefits: Medical, dental, and vision insurance for you and your family Mental health and wellness support Unlimited PTO and 14+ company holidays per year 401K Work closely with a team on the cutting edge of AI research. A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery. Salary Description Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

We are looking for an AI Research Scientist to join our AI Solutions department at Your Personal AI. As an AI Research Scientist, you will be responsible for developing cutting-edge AI algorithms and models to drive innovation in our AI solutions. Conduct research to advance the field of artificial intelligence Design and implement AI algorithms and models Collaborate with cross-functional teams to integrate AI solutions Stay up-to-date with the latest AI trends and technologies If you are passionate about AI research and have a strong background in machine learning and deep learning, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team that is shaping the future of AI solutions. Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Proven experience in AI research, including developing algorithms and models. Proficiency in programming languages such as Python, Java, or C++. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Ability to work independently and collaboratively in a fast-paced environment. Demonstrated track record of innovation and creativity in AI projects. Familiarity with deep learning frameworks like TensorFlow or PyTorch. Prior experience with data analysis and visualization tools. Knowledge of natural language processing and computer vision is a plus.

Snapshot We are looking for a research scientist who will drive research in Gemini for information tasks. The candidate will primarily work on post-training, but could potentially also work on model-external interventions. About Us Our team works on improving Gemini on tasks where users interact with the model to complete information journeys; this includes improving helpfulness and factuality of Gemini models. To this end, we have developed novel post-training innovations to improve the quality, groundedness and factuality of Gemini models in search on mode. Our work impacts product surfaces including AI Mode, Gemini App, AI Studio and Vertex AI. The Role In this role, we expect the candidate to work on improving Gemini for information tasks, focusing on quality of information-seeking responses (helpfulness, factuality, grounding, and other aspects). It is an opportunity to explore fundamental issues in modeling and data interventions for information-seeking scenarios, with very significant opportunities in shaping Google's products in this space. Key responsibilities: Research on post-training (e.g., RL and SFT) for information-seeking scenarios in Gemini Research on novel evaluation methods for improving model quality, grounding and factuality Research on orchestration of tool calls, and improved retrieval methods, for information-seeking scenarios About You In this role you will lead working on factuality, investigate novel recipes for post training involving retrieval, particularly Google search. In order to set you up for success as a at Google DeepMind, we look for the following skills and experience: PhD in a relevant area, or an equivalent research/publication record Number of years experience: anything from recent PhD onwards Strong software-engineering skills in addition to a research background In addition, the following would be an advantage: (require maximum of 5 and minimum of 3 items) Experience in reinforcement learning Experience in post-training methods Experience in LLMs for information-seeking scenarios

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Research Scientist/Engineer focused on honesty within the Finetuning Alignment team, you'll spearhead the development of techniques to minimize hallucinations and enhance truthfulness in language models. Your work will focus on creating robust systems that are accurate and reflect their true levels of confidence across all domains, and that work to avoid being deceptive or misleading. Your work will be critical for ensuring our models maintain high standards of accuracy and honesty across diverse domains. Note: The team is based in New York and so we have a preference for candidates who can be based in New York. For this role, we conduct all interviews in Python. We have filled our headcount for 2025. However, we are leaving this form open as an expression of interest since we expect to be growing the team in the future, and we will review your application when we do. As such, you may not hear back on your application to this team until the new year Responsibilities: Design and implement novel data curation pipelines to identify, verify, and filter training data for accuracy given the model's knowledge Develop specialized classifiers to detect potential hallucinations or miscalibrated claims made by the model Create and maintain comprehensive honesty benchmarks and evaluation frameworks Implement techniques to ground model outputs in verified information, such as search and retrieval-augmented generation (RAG) systems Design and deploy human feedback collection specifically for identifying and correcting miscalibrated responses Design and implement prompting pipelines to generate data that improves model accuracy and honesty Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims Create tools to help human evaluators efficiently assess model outputs for accuracy You may be a good fit if you: Have an MS/PhD in Computer Science, ML, or related field Possess strong programming skills in Python Have industry experience with language model finetuning and classifier training Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy Care about AI safety and the accuracy and honesty of both current and future AI systems Have experience in data science or the creation and curation of datasets for finetuning LLMs An understanding of various metrics of uncertainty, calibration, and truthfulness in model outputs Strong candidates may also have: Published work on hallucination prevention, factual grounding, or knowledge integration in language models Experience with fact-grounding techniques Background in developing confidence estimation or calibration methods for ML models A track record of creating and maintaining factual knowledge bases Familiarity with RLHF specifically applied to improving model truthfulness Worked with crowd-sourcing platforms and human feedback collection systems Experience developing evaluations of model accuracy or hallucinations Join us in our mission to ensure advanced AI systems behave reliably and ethically while staying aligned with human values. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary: $315,000 - $340,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques. Own Research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Collaborate with colleagues beyond the research team to translate your models into production-ready code. Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences. Foster a nurturing environment for colleagues with less experience in DS / ML / Stats for them to grow and you to mentor. What you bring to the table Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering. Ability to scope and effectively deliver projects. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs; geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data; generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.). Ideally, >2 years of experience in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance; combining theoretical reasoning with empirical intuition to guide investigation; formulating and running experiment pipelines to benchmark models and produce comparable results; writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience. Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR. What we offer Equity options - share in our success and growth. 5% 401(k) match - invest in your future. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our Manhattan office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage for you and your family. Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. Salary range: $120,000 - 240,000 depending on experience Seniority will be assessed throughout our interview process We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

About the Role We're looking for a Research Scientist with deep expertise in training and fine-tuning large Vision-Language and Language Models (VLMs / LLMs) for downstream multimodal tasks. You'll help push the next frontier of models that reason across vision, language, and 3D, bridging research breakthroughs with scalable engineering. What You'll Do Design and fine-tune large-scale VLMs / LLMs - and hybrid architectures - for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction. Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning). Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies. Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production. Publish impactful research and help establish best practices for multimodal model adaptation. What You Bring PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics. Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks. Strong engineering mindset - you can design, debug, and scale training systems end-to-end. Deep understanding of multimodal alignment and representation learning (vision-language fusion, CLIP-style pre-training, retrieval-augmented generation). Familiarity with recent trends, including video-language and long-context VLMs, spatio-temporal grounding, agentic multimodal reasoning, and Mixture-of-Experts (MoE) fine-tuning. Awareness of 3D-aware multimodal models - using NeRFs, Gaussian splatting, or differentiable renderers for grounded reasoning and 3D scene understanding. Hands-on experience with PyTorch / DeepSpeed / Ray and distributed or mixed-precision training. Excellent communication skills and a collaborative mindset. Bonus / Preferred Experience integrating 3D and graphics pipelines into training workflows (e.g., mesh or point-cloud encoding, differentiable rendering, 3D VLMs). Research or implementation experience with vision-language-action models, world-model-style architectures, or multimodal agents that perceive and act. Familiarity with efficient adaptation methods - LoRA, adapters, QLoRA, parameter-efficient finetuning, and distillation for edge deployment. Knowledge of video and 4D generation trends, latent diffusion / rectified flow methods, or multimodal retrieval and reasoning pipelines. Background in GPU optimisation, quantisation, or model compression for real-time inference. Open-source or publication track record in top-tier ML / CV / NLP venues. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Research Scientist, ML Systems (HPC & Systems Optimization) New York, NY (Hybrid, 3 days in office) Highly competitive compensation package Join an elite technology and research group at the forefront of global finance, where world-class engineering and quantitative research converge to solve some of the most complex problems in any industry. Their teams are composed of passionate, first-principles thinkers who operate in one of the world's most demanding high-performance computing environments. We are seeking a visionary systems specialist to join them and re-engineer the fundamental building blocks of their machine learning models, enabling the next generation of quantitative research. The Role We are seeking a specialist with a Ph.D. for a unique role that sits at the deep intersection of ML algorithms and high-performance hardware, much in the vein of researchers like Tri Dao. This is not a typical ML position. It's a role for a true systems builder who can optimize the core computational mechanics of complex models through low-level, hardware-aware development. You will have the autonomy and resources to dive deep into the stack, profile performance bottlenecks, and write highly optimized code to push the boundaries of what's possible on the latest hardware. Responsibilities Re-engineer the fundamental building blocks of complex machine learning models to achieve massive performance gains. Design and implement novel numerical algorithms in C++ and CUDA to accelerate model training and inference. Profile and analyze deep learning workloads to identify and solve non-obvious performance bottlenecks across the entire system, from the CPU to the GPU and interconnect. Collaborate with world-class quantitative researchers and engineers to co-design and implement the next generation of ML systems and infrastructure. Stay at the cutting edge of academic and industry research in HPC, computer architecture, and ML systems. Who we're looking for A Ph.D. in Computer Science, Electrical & Computer Engineering, Physics, or a related technical field with a strong publication record. Deep, hands-on expertise in high-performance computing (HPC) and parallel programming models (e.g. CUDA, MPI, OpenMP). Expert-level proficiency in C++ for performance-critical development. Demonstrable experience in low-level systems optimization, performance profiling, and identifying hardware bottlenecks (e.g. memory bandwidth, latency). A background in optimizing numerical algorithms, computational mechanics, or compiler technologies is a significant plus.

Biophysical Assoc Scientist needs 2+ years experience Biophysical Assoc Scientist requires: College degree in science related field or equivalent laboratory experience. Proficient MS Excel, Word, PowerPoint and File Explorer Ability to learn and develop comfort with various instrumentation software. Careful adherence to established procedures and proposed experimental design. Detail oriented and manual dexterity when working with instruments and samples. Demonstrating integrity in performing tasks to produce repeatable data. Excellent organizational and communication skills. Biophysical Assoc Scientist duties: Collects samples and prepares hair swatches to perform methods adhering to a set procedure. Performs technical procedures to measure product performance on hair with variety of lab equipment. Analyzes data, performs statistical calculations, and draws conclusions to substantiate claims.

Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans. At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster-ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery. We are seeking Machine Learning Scientists to join our talented, ambitious, and kind team. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. As an early machine learning scientist at a rapidly-growing startup, you'll have the opportunity for high impact while learning and growing with the company. What you'll do: Develop machine learning models to predict molecular properties from chemical structures Develop novel algorithms for generating ideas for new molecules Build agents that can synthesize complex information from drug programs and apply that information strategically toward molecular optimization Get your hands dirty by diving deep into our unique, proprietary dataset to iterate on modeling ideas and improve model performance Collaborate closely with chemists and software engineers to integrate models into our software platform, which is used by drug discovery scientists across the industry Build and optimize scalable infrastructure for model training, deployment, and monitoring Engage directly with our scientific users, incorporating their feedback into the product Contribute meaningfully to product strategy and company direction Who you are: You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) You are comfortable writing high-quality, reusable code and productionizing models for serving in the cloud You are excited to dive deep into the science and practice of drug discovery You have exceptional written and oral communication skills Working at Inductive At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.

Scientist II, Immuno-Oncology FUNCTIONAL AREA: REPORTS TO: Team Leader EXEMPT/NON-EXEMPT In the Immuno-Oncology team, we are looking for an enthusiastic, inventive and team-oriented scientist to join us in the creation cutting-edge cellular treatments for cancer and other serious diseases. We are looking for colleagues with a strong background in one or multiple areas including: Immuno-Oncology, Oncology or Immunology, and who possess strong expertise in T-cell biology, intricate multicolor flow cytometry, and in vivo mouse models. The ideal candidate would have a remarkable scientific record, excellent communication and interpersonal abilities, be passionate about scientific research, and excel at pushing boundaries for innovation. We value candidates who are adept at problem-solving and approach difficulties with optimism. The chosen individual will join a dynamic, creative and goal-oriented atmosphere dedicated to making impactful advances in the way we treat disease. Responsibilities Responsibilities include, but are not limited to: Develop innovative adoptive cell therapies to treat cancer or other serious diseases. Design, execute, and analyze in vitro experiments (some examples include engineering of CAR T-cells, cytotox, ELISA, proliferation assays, flow cytometry analysis, cell culture). Design, execute and analyze in vivo preclinical studies (some examples of procedures include tumor implantation, adoptive cell therapy administration, mice dosing through different administration routes, tumor monitoring, blood collection and multiple tissue analysis). Efficiently and clearly present and communicate scientific data to the team, cross-functionally and at external meetings. Pro-actively suggest and evaluate innovative cell engineering solutions and develop new assays to enhance the company's intellectual portfolio and contribute to peer-reviewed publications. Stay up to date with external scientific research from academic and industry institutions. Keep timely detailed documentation of experiments. Effectively plan and manage projects and deliverables to meet deadlines. Foster cross-functional collaborations and train other colleagues. Prioritize company objectives and work towards shared success. Other duties as necessary to ensure the daily operations of the lab and support the team. Core Competencies Keen eye for detail, exceptional problem-solving abilities, and a commitment to producing robust and high-quality scientific data for internal/external reports, publications and IND-enabling studies Strong scientific creativity and analytical thinking skills. Curiosity and drive to initiate and advance programs to treat diverse important diseases. Excellent written, oral and interpersonal communication skills. Capable of adhering to SOP and develop new protocols. Works well autonomously and collaboratively with other team members and cross-functionally. Flexibility and ability to adapt positively to a dynamic environment with changing priorities. Pro-active, transparent and adaptable team-player with a professional demeanor who works well under pressure. Comfortable operating in a fast-paced, small-midsized company environment. Requirements PhD in oncology, immunology, or equivalent (minimum of 3 years of experience after PhD in related role). Experience in human T-cell biology, immuno-oncology and knowledge in cell engineering technologies. Hands on experience and troubleshooting proficiency in immunology assays including immune cell isolation, multicolor flow cytometry, immune cell and cytokine profiling assays using conventional and next-generation analytical methods. Demonstrated experience designing and executing mouse tumor model experiments including mouse handling (injections- IV, SC, IP- and organ dissection). Excellent abilities to analyze and synthesize data for different audiences and report types while supporting decision-making processes. Proficiency in molecular biology as well as analyzing and manipulating DNA/protein sequences using bioinformatics software is desired. Basic knowledge of gene editing and next-generation sequencing technologies is a plus. Experience in working in matrixed environments and in project management is desired. Strong record of scientific publications and demonstrated scientific curiosity. Willingness to quickly adapt, innovate, discover new approaches, collaborate and support the team towards shared company goals. Candidates should be authorized to work in the U.S., preferably without the need for current, or future, sponsorship. Role is onsite and based in New York, NY Physical Requirements Sedentary - primarily involves sitting and/or standing. Laboratory work performed within a BSL1 and BSL2 environments. Communicates with others daily to exchange information. Salary Range (105,000 to 115,000 USD), dependent on skills and experience

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health's diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine. We're seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better. Here's a collection of articles about our product, mission, recent funding round, etc. Job Description We're hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts. You can expect to: Design and implement state-of-the-art machine learning techniques to advance Layer Health's research agenda (in areas such as information extraction, multimodal reasoning, and summarization). Propose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning. Collaborate with the broader engineering team to ship performant products that meet user needs. Cultivate and foster a robust and thoughtful R&D culture that drives the company forward. We look for: Exceptional methodological research background and experience, including but not limited to: A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning. High-impact, early-author publications at top peer-reviewed ML journals/conferences. Demonstrated record of delivering real-world impact from start to finish- with the ability to design, develop, and ship innovations. Strong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax). Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques). A strong communicator who thrives in a customer-focused, fast-paced environment. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. Past experience in healthcare of life sciences is a plus, but not required. We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome). Expected compensation range for this role is $200,000-250,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. Join us and help us transform healthcare with AI.

JobID: 210688096 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $137,750.00-$195,000.00 The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities * Conduct end-to-end research typically within Natural Language Processing (NLP) * Collaborate with internal and external researchers and with applied engineering teams * Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research * Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals * Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills * PhD in Computer Science or related field or a MS with at least 3 years of experience in the field * Research publications in prominent NLP venues; e.g., conferences, journals * Strong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding * Experience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc. * Proficiency with rapid prototyping and disciplined software development processes * Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills * Extensive programming skills in Python, Java or C++ * Interest in problems related to the financial services domain (specific past experience in the domain is not required)

Background and Purpose of the Job Pepsi Lipton is a joint venture between Unilever and PepsiCo operating in the ready-to-drink Tea segment globally with three well-established brands Lipton, Brisk and Pure Leaf and Yachak. Our global business is worth 3.0 billion USD today, growing volume and with a double digit increase in net revenues. We operate across complex and diverse regions spanning Western Europe to Australia and New Zealand to the United States and Latin America with markets at different stages of development, with different consumer habits and different routes to market via a matrix of franchise, company-owned and third-party manufacturing operating models in which innovation delivery is key enable to accelerate growth. We have an established global R&D function based in two centres: Colworth UK, and Valhalla US. The centre at Valhalla is the primary `hub' from where the R&D team is focused on the North America and Latin America markets, whilst also supporting global programes and some international markets. Our other R&D Site, Colworth, is our lead centre for tea expertise, bringing this to our product and process development to deliver products across our platforms to meet a wide range of consumer benefits and needs. A role in Pepsi Lipton is a unique experience in which to develop and add value to your career. Pepsi Lipton, although a Joint Venture between Unilever and PepsiCo, operates independently and has its own Board of Directors. Whilst we have the full backing and support of our two parent companies, our entrepreneurial set up gives us real autonomy. Our roles are broad, our responsibilities big and our experiences even bigger. We have high visibility and great exposure - to senior leadership and to talented colleagues all over the world. It means we need to be impactful, smart influencers. In order to support our ambitious growth agenda, we are looking for a Product Development Associate Scientist to join our team in Valhalla, NY. To learn more, visit ********************** Who You Are & What You'll Do: The job holder will be a member of cross functional project teams providing product development capability across the Ready to Drink brand portfolio. This role will focus on product development for Brisk and Pure Leaf, which are North American brands. In this role they will be responsible for owning and delivering product development activities within agreed projects with an onus on practical based activities in our food laboratory or pilot plant facility including: * Design and execute practical and lab-based work programs linked to assigned projects, including initiating and maintaining formal lab notes, trial reports, experimental write-ups, and handover documents. * Contribute to project timelines, risk analysis, and resource loading for assigned projects, ensuring compliance with safety, regulatory aspects, and company policies. * Source ingredients and manage supplier interactions, including documentation, samples, ordering, and specification builds, while integrating quality into parent company systems and processes. * Generate prototypes to meet project requirements, liaising with the pilot plant for larger-scale production, managing non-standard ingredient ordering, and providing key documentation. * Lead the creation and delivery of product-related documentation, including consumer testing materials, registration, certification, and local BU-specific requests. * Own functional specification delivery and utilize digital tools to ensure technical outputs for artwork and labeling, coordinating with specification experts, concentrate teams, and QA for alignment. * Manage scale-up trials to confirm viability, including trial briefing and acting as point of contact with SC, Technical Contact Managers, Quality teams, and suppliers. * Coordinate with Consumer Technical Insights, Sensory, and Brand Insights to support prototypes, panels, and consumer tastings, and manage prototype sample shipments to test locations and stakeholders. * Ensure regulatory compliance for prototype development and ingredient selection, liaising with local deploy partners and cascading outputs to relevant stakeholders. * Support broader technical activities and R&D requirements, maintain awareness of competitor landscape, supply chain models, and liaise with parent company groups for knowledge building. What You'll Need To Succeed: * Able to work in Valhalla, NY * Degree (or equivalent) in Food Science, Chemical Science or Engineering and/or relevant experience in FMCG in fields related to product or process development/manufacturing in foods or beverages * Experience of working cross-functionally and with external suppliers * Experience of delivery of innovations from brief to market deployment * Foundation training/qualification in food hygiene * Passion to work in a practical & lab- based setting * Proven track record of product development * Creativity & flair with ability to innovate and translate product brief into winning launches * Strong communication skills * Attention to detail especially with experimentation, data recording, analysis & reporting * Strong organizational skills * Good time management and priority setting skills * An ability to flex and multitask. Pay: The pay range for this position is $86,080 to $129,120. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs. Bonus: This position is bonus eligible. Long-Term Incentive (LTI): This position is LTI eligible. Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. * ----------------------------------- At Unilever, inclusion is at the heart of everything we do. We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive/succeed. All applicants will receive fair and respectful consideration, and we actively support the growth and development of every employee. Unilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. For more information on your federal rights, please see Know Your Rights: Workplace Discrimination is Illegal Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check. If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at NA.Accommodations@unilever.com. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning Collaborate with internal and external researchers and with applied engineering teams Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field Research publications in prominent AI venues; e.g., conferences, journals Strong expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, … Optional: expertise in synthetic data, generative AI, protecting our customers clients and institutional knowledge (e.g., differential privacy, machine unlearning, membership/reconstruction attacks), LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series reasoning and foundational models) Proficiency with rapid prototyping and disciplined software development processes Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills Extensive programming skills in Python (required), Java or C++ (optional) Interest in problems related to the financial services domain (specific past experience in the domain is not required)