Principal research scientist jobs in Levittown, NY

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

Reality Labs at Meta is seeking a Research Scientist with experience in machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution. This technology will become one of the main pillars for interaction with the virtual and augmented world.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals (i.e., electromyography or EMG), developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same approaches. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech recognition. We're looking for people who want to shape the future of this technology and explore this exciting new territory with us. **Required Skills:** Machine Learning Research Scientist - IC7 - Neuromotor Interfaces Responsibilities: 1. Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, etc.) to advance neuromotor interface products 2. Collaborate with engineering and research teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences 3. Use quantitative research methods to define, iterate upon and advance key areas of our research agenda 4. Develop research-grade code for deployment in research prototypes 5. Work across organizational boundaries to solve our biggest problems **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. PhD in one of the following fields: artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields 8. Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas) 9. Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly **Preferred Qualifications:** Preferred Qualifications: 10. 8+ years of experience in designing, executing, interpreting, and presenting ML research 11. Demonstrated experience of identifying new opportunities for the larger organization & influencing the appropriate people 12. 4+ years of experience as technical lead for a project of 4 or more individuals 13. Experience bringing machine learning-based products from research to production 14. Experience with interdisciplinary collaboration 15. Significant experience in the analysis and modeling of high dimensional time series, such as neural signals, multi-channel audio recordings, multi-modal/multi-sensor signals, robotic sensory signals, financial time series, video, or other sensor modalities 16. Experience with speech enhancement, speech recognition, speech synthesis, source separation, audio event detection and classification, language modeling, or related topics 17. Experience with real-time signal processing 18. Experience with large scale cluster computing for machine learning modeling 19. Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration 20. Experience in software engineering in industry 21. Experience with scientific communication tools (Jupyter, Matplotlib) **Public Compensation:** $213,000/year to $293,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later. Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music. Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions. Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release: ************************************************************************************ What You'll Do * Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing. * Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million monthly active users. * Create practical applications that harness generative technologies, pushing the boundaries of what's possible in listening experiences. * Collaborate as part of a cross-functional team-working closely with scientists, engineers, product managers, designers, user researchers, and analysts-to craft innovative solutions to complex challenges. * Have a direct impact on Spotify's products, tools, and services, working on projects that influence the entire organization. * Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences. Who You Are * You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful. * You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas. * You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related. * You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy. * You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. * You are enthusiastic about learning more about turning research ideas into products operating at scale. * You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders. Where You'll Be * We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location. * This team operates within the Eastern Standard time zone for collaboration. * Core working hours are CET 3pm-6pm / EST 9am-12pm. The United States base range for this position is $132,073 - $188,676 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

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 + Expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, ... + Strong expertise in synthetic data, generative AI, differential privacy, uncertainty quantification, 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) JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans **Base Pay/Salary** New York,NY $137,750.00 - $195,000.00 / year

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 Expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, … Strong expertise in synthetic data, generative AI, differential privacy, uncertainty quantification, 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)

Clinical Research Investigator (MD/DO) DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our site in Jersey City, NJ. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligibility to enroll in studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and complies with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical license (MD, DO) - New Jersey 2 years experience as a Clinical Research Investigator (Principal Investigator or Sub-Investigator) Bilingual Spanish a plus Flexible hours - schedule can be tailored as required.

Role Description: Are you looking for a new career opportunity that will allow you to develop and use cutting-edge AI technologies to solve challenging NLP problems while making a positive impact on the world? If so, we would love to hear from you! Dyania Health is looking for Research Scientists to help us transform the way in which machines process biomedical information, and revolutionize the way in which clinical trials are conducted. You will be working alongside team members with deep technical expertise in NLP, top medical professionals (MDs, pharmacology PhDs, and others), and an experienced product team. The ideal candidate will have strong foundations in computer science and ML/NLP, superb communication skills, and a proven track record of delivery under tight deadlines. Requirements Required Qualifications: Graduate degree in a relevant field (Computer Science, Mathematics, Electrical Engineering) 2+ years experience in building and deploying ML models Experience in applying transformer-based deep-learning techniques to challenging NLP problems Fluency in Python and experience with Python-based ML frameworks such as PyTorch Outstanding communication skills Preferred Qualifications: Publications in top-tier NLP conferences Background in classical computational linguistics Experience with Java (or Kotlin/Scala) and/or a functional programming language Responsibilities: Design, build, evaluate, and deploy algorithms and models for accurately extracting medical information from structured and unstructured data sources Work closely with product, UX, and clinical teams to prototype and test new functionality Analyze performance results and convey your analyses to relevant stakeholders Conduct research, publish and present your findings at relevant scientific venues Team Culture: • We lead with empathy for patients and our teammates. • We value small egos, self-awareness, and humility in our teammates. • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift. • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team. • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.

About Basis Basis is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future. To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first. About the Role Research scientists lead Basis' efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence. We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there. Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone. We expect you to: Have demonstrated an ability to do scientific research that is of high-quality. Possible ways to demonstrate this include publications, technical reports, and software projects. In addition, the following would be an advantage: PhD (or equivalent experience) in technical areas, including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics. Excited about solving real world problems and having positive societal impact. Responsibilities Develop and explore computational theories of intelligence, including reasoning, learning, and decision-making. In close collaboration with domain experts inside and especially outside Basis, work as a team member to help solve scientific and societal problems Distill insights from solving problems into more general mathematical and computational theories Develop and maintain open-source software (Optionally) Publish and present findings in journals and conferences Contribute to the culture and direction of Basis Role Details Exceptional candidates who may not meet all of the following criteria are still encouraged to apply. FT/PT: This is a full-time position Hours: While we prioritize in-person collaboration for its benefits to creative work, there is a degree of flexibility in your working hours. Be prepared to attend multi-day Basis-wide in-person events. Location: This role is in-person in either New York City or Cambridge, MA. Salary range: Competitive salary and bonuses Privacy Notice By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes. Read our full Global Data Privacy Notice here .

Radical 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 As an AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. 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 Lead and develop our generative foundation models in materials discovery. Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team. Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production. Develop rigorous benchmarks to validate and test the performance of our models. 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. 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 deep learning and generative models. At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science. Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching. Demonstrated experience in designing and running large-scale experiments in AI and machine learning. Passionate about leveraging ML for science related problems and a commitment to doing world-class research. 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 Prior experience in transitioning AI research into production environments. 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. $100,000 - $300,000 a year + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. 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.

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.

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.

About the Role We're looking for a Research Scientist with a strong foundation in geometry processing and a deep interest in how modern learning systems can represent and reconstruct shape. You'll work at the intersection of discrete and differential geometry, shape tokenization, and generative modelling, developing methods for unwrapping, remeshing, and reconstructing 3D geometry that are compact, controllable, and scalable. What You'll Do * Research and develop AI-assisted geometry processing pipelines for UV unwrapping, remeshing, geometric reconstruction, and shape generation. * Design learning-based representations for geometry (meshes, point clouds, implicit fields) that capture structure, topology, and correspondence. * Develop token- or patch-based encoders for shape representation, enabling compression, editing, and reconstruction from learned codes. * Integrate learned geometry modules into generation and reconstruction frameworks, ensuring geometric validity and multi-view consistency. * Build training and evaluation pipelines with quantitative metrics for distortion, reconstruction fidelity, and mesh topology quality. * Collaborate with graphics, simulation, and ML teams to bring new geometry models into creative and production pipelines. * Contribute to publications, benchmarks, and internal best practices in geometry + AI research. What You Bring * PhD (or equivalent experience) in Computer Graphics, Geometry Processing, Machine Learning, or a related field. * Deep understanding of discrete and differential geometry, including remeshing, surface parameterization, and geometric optimization. * Experience with learning-based geometry representations (e.g., geometric autoencoders, tokenization, learned unwrapping, or generative reconstruction). * Strong engineering skills: proficiency with PyTorch/JAX, geometry/mesh libraries, and large-scale experiment pipelines. * Ability to bridge classical geometry processing with modern learning-based techniques and apply them to practical 3D workflows. Bonus / Preferred * Research or open-source work in learning-based UV unwrapping, remeshing, or geometry reconstruction. * Experience developing generative 3D models or integrating learned geometry modules into diffusion / flow-matching frameworks. * Familiarity with implicit neural representations, differentiable rendering, or geometry-aware latent spaces. * Experience integrating geometry systems into 3D toolchains (e.g., Blender, Unreal, Unity) or graphics pipelines. 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.

Job Description Pioneer the future of visual AI creation Looking to shape how millions experience generative visual content? A fast-growing AI startup seeks you, a vision generation researcher to advance their agentic approach to image and video synthesis technology. This innovative team has already launched a successful product in the visual creativity space and is now expanding their research capabilities to drive the next phase of development. Your expertise The ideal candidate brings research depth in at least one key area: Advanced image synthesis - Creating high-fidelity visuals, exploring 3D neural rendering, or developing large vision models Next-generation video AI - Building systems for fluid motion generation, temporal consistency, or efficient video creation pipelines Cross-modal integration - Connecting visual generation with text, audio, or other input modalities You thrive on implementing and improving state-of-the-art techniques, whether working with diffusion models, adversarial networks, or transformer-based architectures. Your technical foundation is matched by your creativity in pushing these technologies to new horizons. Your impact You'll conduct foundational research that directly shapes product development, bridging the gap between academic innovation and real-world applications. Your work will enhance a platform already reaching a substantial user base, influencing how people interact with AI-generated visual content. Your environment You'll collaborate with a close-knit, passionate team that values both technical excellence and creative vision. Your package Competitive salary: $200,000-$225,000 (negotiable based on experience) Equity package Comprehensive healthcare benefits Additional perks and flexible work arrangements Based in New York City with a hybrid work model, though remote arrangements will be considered for exceptional candidates. Ready to transform the landscape of creative visual AI? Contact Marc Powell at techire.ai for a confidential discussion or submit your application today.

Why we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely. What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community. Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is: Open Source First: All our platform and core technology is open source Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaborators Community-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwide Role Overview The Research Scientist will be an integral part of Oumi's research team, focusing on advancing the state-of-the-art in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cutting-edge research, contributing to open-source projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLM/VLM development including training, evaluation, data curation, and benchmark development. What you'll do: Model Development: Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods. Data Curation: Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques. Benchmark Development: Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains. Research and Experimentation: Design and conduct experiments to validate research hypotheses and improve model performance. Open Source Contribution: Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries. Collaboration: Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI. Publication: Publish research findings in leading conferences and journals. Platform Evaluation: Evaluate existing models and identify areas of improvement. Flexibility: Work with various models, including text and multimodal models, and both open and closed models. Problem Solving: Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back. What you'll bring: Education: A Ph.D. or MSc. in computer science, machine learning, artificial intelligence, or a related field is preferred. Candidates with a strong publication record, or equivalent industry experience will be considered. Research Experience: Demonstrated experience in conducting original research in machine learning, with a strong publication record in top-tier conferences or journals. ML Expertise: Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) and/or vision language models (VLMs). Programming Skills: Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch). Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community. Initiative: A self-starter who can work independently and take ownership of initiatives. Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded. Benefits Equity in a high-growth startup Comprehensive health, dental and vision insurance 21 days PTO Regular team offsites and events Location: Hybrid work environment, with offices in: Seattle, WA Palo Alto, CA New York, NY

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

JAX/NYSCF is seeking an Associate Research Scientist to join the Functional Genomics team as part of the NYSCF Global Stem Cell Array, a robotic system that automates both iPSC derivation, gene editing, and downstream differentiations. The Associate Research Scientist will contribute to an innovative project centered on phenotyping cardiomyocytes derived from genetically diverse human induced pluripotent stem cell (hi PSC) lines. This work aims to uncover the genetic basis of cardiotoxic responses and to advance predictive models of cardiovascular health through high-throughput functional screening, transcriptomics, and metabolomics. The project is highly collaborative, involving multidisciplinary teams across several institutions. The primary focus of the work you'll do at JAX/NYSCF is developing automated protocols for the derivation/culture of iPSC-derived cardiomyocytes, drug testing, and sample preparation for downstream analyses, including imaging and single-cell sequencing. We want candidates with extensive expertise in human pluripotent stem cell culture, directed differentiation into cardiomyocytes, and functional assays. Experience with cell culture automation (including liquid handling systems) or high-throughput assays is a major plus. This role offers a unique opportunity to work with state-of-the-art screening technologies and automated platforms while contributing to impactful translational research in cardiac safety pharmacology and personalized medicine. As a Associate Research Scientist on the Functional Genomics team, you will: * Design, optimize, and execute experiments to advance a high-throughput iPSC-derived cardiomyocyte platform * Culture and expand iPSCs, generate iPSC-derived cardiomyocytes, and assess cardiomyocyte quality using automated liquid handling systems * Apply strong scientific knowledge and analytical skills to monitor, troubleshoot, and refine experimental workflows in real time. * Independently conduct literature reviews to identify and propose innovative experimental methods, procedures, or technologies * Contribute to project planning by preparing budgets, timelines, and resource estimates for supplies and equipment * Lead multiple, concurrent project components, ensuring progress toward research goals * Evaluate and document results, adapt methodologies as needed, and maintain compliance with regulatory standards * Communicate research goals and findings effectively, guiding team members and informing collaborators on past and future directions * Coordinate with external partners to explore new research opportunities Foster a collaborative environment by sharing expertise and demonstrating openness to learning from others Minimal requirements * PhD +3 years of work experience in Cell Biology, Molecular Biology, Biomedical Engineering, or a related discipline. * Experience with induced pluripotent stem cells or cardiomyocytes/ iPSC-derived cardiomyocytes. * Strong communication skills, with the ability to clearly explain research findings and methodologies in both written and verbal formats, as well as effectively discuss, troubleshoot, and resolve experimental challenges with team members and collaborators. * Ability to follow and adapt protocols accurately. * Excellent documentation and data management practices. Preferred experience: * Experience in differentiation of iPSC culture in cardiovascular lineages. * Exposure to automated cell culture systems (liquid handlers) * Electrophysiology experience is a plus * Flow cytometry Please submit a Cover Letter and CV for application consideration. Pay Range: $65018 - $108857 per year, dependent upon experience. About JAX: The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit ************ EEO Statement: The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data. What You'll Do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third. Other duties as assigned or needed. Skills You'll Need: 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimization (CUDA or ROCm) Experience with end-to-end model development, especially in LLMs Prior academic publications and/or contributions to open-source AI research Strong opinions on best practices in ML research, tooling, and/or infrastructure Benefits - Discretionary bonus eligibility - Medical, dental, and vision insurance - HSA, FSA, and Dependent Care options - Employer Paid Group Term Life and AD&D Insurance - Voluntary Life & AD&D insurance - Paid vacation plus paid holidays - Retirement plan with employer match - Paid parental leave - Wellness Programs Annual Base Salary Range $200,000-$300,000 USD

& Sons: Schweid & Sons is a family-owned and operated premium ground beef company with a proud heritage spanning four generations. We supply top-quality beef to Retail, Foodservice, and National Account customers across the U.S. and are committed to quality, customer service, and innovation in protein manufacturing. Summary: Are you a creative and driven professional with a passion for developing innovative premium protein products? Schweid and Sons is looking for a Food Scientist to add to our team. Reporting to the Director of Innovation, you will lead innovation and product development projects and initiatives, formulation, process improvement, ingredient, recipe and nutritional development, and provide food science strategy and guidance to take the company into the future. This role focuses on developing, improving, and ensuring the safety and quality of premium protein products, from fresh cuts to processed meats. The ideal candidate will have an understanding of meat science, food safety regulations, and product development processes within the beef and other protein industries. To be successful in this role, you must have strong food science, product development experience in protein, ability to improve and build repeatable processes, experience in meat operations, and knowledge of regulatory requirements. You should be comfortable leading key projects, working independently to ensure deadlines are met while balancing priorities. This is an incredible opportunity to join a well-established food manufacturing company that prides itself on putting its team members first by providing an incredible culture, amazing benefits, and commitment to innovation. Job Functions /Responsibilities: * Manage innovation projects, communicate, and coordinate with internal stakeholders as well as customers. Research and develop new products, including raw, fresh, cooked, cured, and value-added items. * Improve existing products in terms of taste, texture, shelf life, yield, and nutritional profile. * Design and conduct experiments on meat formulations, marination, cooking processes, and preservation techniques. * Organize sensory panels and conduct rigorous product testing to ensure we deliver a great tasting product. * Ensure all products comply with USDA, FDA, HACCP, and company food safety standards. * Conduct shelf-life testing and sensory evaluations of beef products. * Analyze raw materials and finished products for microbial, chemical, and physical properties. * Collaborate with procurement, QA, production, and marketing teams to bring new products to market. * Monitor trends in meat science, consumer preferences and processing technologies. * Prepare responses to customer inquiries with adequate scientific and technical evidence and provide solutions. * Complete the verification of the implementation of standard operating procedures for the laboratory or kitchen facilities. * Responsible for maintaining accurate records of formulations, procedures, and processes in appropriate software systems and platforms. Qualifications / Experience: * Bachelor's degree in Food Science or related field or equivalent experience. * USDA, FDA, HACCP and SQF experience. * 3 - 5 + years of Food Science in the protein category required. * 2 + years related protein experience required, preference for beef experience. * Food/nutrition manufacturing experience required. * Fundamental understanding of regulatory compliance and nutritional calculation software. * Understanding of daily lab and production processes. Expertise in raw material handling and stability. * Ability to independently formulate products based on consumer and customer requirements, identifying potential issues and promptly alerting managers or customers. Experience in food concept development and prototype improvement. * Some culinary and recipe development experience is a plus. * Able to effectively analyze data to develop presentations and reports. * Must be proficient in the use of Microsoft Office (Excel, Outlook, Word, and PowerPoint). What We Offer * The expected compensation for this role is $90,000 - $120,000 per year, depending on experience and qualifications. Final compensation will be discussed during the interview process. * Time Off: PTO, Safe & Sick Time, and Paid Holidays. * Health Benefits: Medical, vision, dental, HRA and voluntary disability benefits. * Financial Benefits: 401(k) + employer match and life insurance. * Location: This is an on-site role located in either East Rutherford, NJ or College Park, GA. * Environment: Office environment.