Principal research scientist jobs in Oyster Bay, NY

The Demography and Survey Science team's mission is to improve the way we make decisions and measure impact both within and outside of Meta. We collect and analyze rich survey and behavioral datasets to understand new challenges, solve problems, and shape decisions. We are looking for quantitative social scientists with experience answering complex research questions to join us in this effort.Our interdisciplinary team includes those with expertise in statistical inference, survey methodology, causal inference and econometrics, regression modeling, exploratory data analysis, and mathematical demography, among other areas. In this role, you'll own research end-to-end. This means you'll navigate trade-offs while designing projects, proposing appropriate methodologies, analyzing data, and communicating results to broad audiences in order to drive impactful decisions.Applicants may include social scientists, applied statisticians, or other applied researchers with expertise in quantitative research methods, experience working with large datasets and relational databases, and experience with survey methodology (e.g., bias correction, sampling). We are looking for candidates who can demonstrate methodological rigor, demonstrated communication skills, and experience making research design choices that balance competing tradeoffs effectively. **Required Skills:** Research Scientist, Demography and Survey Sciences Responsibilities: 1. Help shape the research agenda and drive research projects from end-to-end 2. Collaborate with product teams to define relevant questions about survey methodology and quantitative measurement 3. Deploy appropriate quantitative methodologies to answer those questions 4. Develop novel approaches where traditional methods won't do 5. Provide teams with usable measurement strategies and methodologies to meet their product and business decision needs 6. Deliver insights and recommendations clearly to relevant audiences **Minimum Qualifications:** Minimum Qualifications: 7. Experience communicating analyses and results to any audience 8. Knowledge of data manipulation and analysis software and programming languages (R/Stata, SQL/Hive) 9. Knowledge of quantitative and survey research methodologies (e.g., bias correction for surveys, survey sampling and design, regression modeling, causal inference with a survey outcome, shrinkage and regularization, designing and analyzing longitudinal panel surveys, behavioral data analysis) 10. Demonstrated experience in designing original research to address complex questions 11. Bachelor's degree with 22+ years of relevant experience in user experience, applied research, product research and/or development, Master's degree and 20+ years relevant experience, or a PhD and 15+ years of relevant experience **Preferred Qualifications:** Preferred Qualifications: 12. Expertise with weighting/bias correction for surveys and survey sampling 13. Expertise with time series analysis and/or repeated cross-sectional analysis 14. Experience with qualitative methods such as focus groups and in-depth interviewing 15. Familiarity with R and SQL for statistical analysis 16. Expertise in survey questionnaire and survey metric development 17. Experience analyzing both cross-sectional and longitudinal survey data 18. Experience working with online survey panel vendors (e.g., YouGov, Ipsos, Kantar, SSRS) 19. Experience translating often abstract stakeholder requests into actionable research plans 20. Experience translating survey analysis into actionable insights 21. Familiarity with other aspects of survey methodology such as bias correction/weighting and survey sampling 22. Generally solid quantitative research skills such as: linear regression, maximum likelihood estimation (e.g., logistic regression, probit), causal inference 23. Experience with measurement error and psychometric methods (e.g., factor analysis, structural equation modeling, Item Response Theory modeling (IRT)) **Public Compensation:** $206,000/year to $281,000/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)

- Computational Biology/Biophysics * Title: Post-Doctoral Fellow/ Research Scientist * Department: Center of Excellence * Campus: Brooklyn, New York We are seeking a highly qualified post-doctoral fellow with expertise in computational biology or chemistry to join our collaborative research team at Long Island University. Overall, your work will involve collaborating with experts from various fields to advance our understanding of drug- induced liver injury and contribute to the development of safer and more effective medications. Job Qualifications o Ph.D. in Computational Biology, Systems Biology, Applied Mathematics, Biophysics, Computational Chemistry, Bioinformatics or similar. o Proficiency with one or more programming language such as Python, Matlab or C++. o Proficiency in systems biology/computational biology/computational chemistry/bioinformatics a plus (BIOVIA, Discovery Studio, CompuCell3D or equivalent) o Proven track records (publication in top-tier journals, awards, patents, white papers) o Ability to present analytical results on behalf of the project team to senior leadership. o Ability to influence or persuade others to accept new ideas, approaches, or concepts and on the direction of projects and manage stakeholders through project execution. Primary Location Long Island University, Brooklyn Campus, Brooklyn, NY Organization Long Island University To Apply Interested candidates should submit a cover letter, CV, and a list of three references. Applications must be submitted online at (***************************** Review of applications will begin immediately and will continue until the position is filled. More on LIU's Center of Excellence with Dassault Systemes Long Island University (LIU) has formed a research and innovation partnership with Dassault Systèmes in life sciences. The collaboration focuses on impactful research in pharmaceutical sciences, precision medicine, and healthcare in the digital age. The research involves the development of "Virtual Twins," digital models of human anatomy, to advance precision medicine. LIU has also opened in 2020 a state-of-the-art simulation and high-performance computing laboratory equipped with Dassault Systèmes' 3D, augmented reality, and virtual reality software. This facility supports experiential research, education, and training in various fields, including AI, robotics, cybersecurity, data analytics, and drug discovery. LIU is an equal opportunity employer. LIU is committed to extending equal opportunity in employment to all qualified candidates who can contribute to the diversity and excellence of our academic community. LIU encourages applications from all qualified individuals without regard to race, color, religion, genetic information, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability or any other basis protected by applicable local, state or federal laws. Hiring is contingent on eligibility to work in the United States.

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

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.

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

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.

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.

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 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}.

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 on the MARA (Modeling, Abstraction, and Reasoning Agents) project develop computational theories of scientific reasoning applied to robotics and embodied intelligence. You will advance the frontiers of world modeling, reinforcement learning, program synthesis, and robotic control to create systems that can learn, reason about, and interact with the physical world. We are looking for exceptional researchers with expertise in Program Synthesis & Neuro-symbolic Methods. The ideal candidate has a strong publication record in relevant venues, combines theoretical depth with practical implementation skills, and is excited about building systems that learn like scientists-forming hypotheses, conducting experiments, and building models of how the world works. You will work as part of an interdisciplinary team tackling fundamental questions: How can agents learn causal models from interaction? How do we bridge high-level reasoning with low-level control? How can we generate interpretable, verifiable control programs rather than black-box policies? 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 at top venues (NeurIPS, ICML, ICLR, POPL, PLDI), technical reports, and impactful software projects. Possess deep expertise in Program Synthesis & Neuro-symbolic Methods: Domain-specific languages, program induction, verifiable control, neuro-symbolic integration. Experience with combining neural networks with symbolic reasoning or program generation. Have strong mathematical and computational foundations including probability theory, optimization, linear algebra, and the ability to implement complex algorithms from first principles. Be comfortable working across the research-to-deployment pipeline, from theoretical development through experimental validation. Progress with autonomy and intellectual curiosity. You can identify valuable research directions within the broader MARA mission, design experiments, and drive projects to completion. Value collaboration and knowledge transfer. You actively share insights across specialization boundaries and help integrate diverse approaches into coherent systems. Be excited about solving real-world problems through embodied intelligence that advances our ability to understand and interact with the physical world. In addition, the following would be an advantage: PhD (or equivalent experience) in technical areas including: robotics, machine learning, computer vision, control theory, cognitive science, or physics. Experience at leading robotics or AI labs (academic or industry). Track record of algorithms deployed on physical robot systems. Contributions to major open-source projects in robotics or ML. Experience with both theoretical research and systems engineering. Background spanning multiple specialization areas. Responsibilities Develop computational theories of intelligence specific to program synthesis and neuro-symbolic methods, focusing on synthesizing control programs, learning interpretable models, or bridging symbolic reasoning with neural learning. Design and implement novel algorithms that push the boundaries of sample efficiency, generalization, interpretability, or robustness in embodied AI systems. Collaborate across specializations to integrate world modeling with planning, symbolic reasoning with neural learning, and high-level objectives with low-level control. Validate research on physical systems by working with hardware engineers to test algorithms on real robots, addressing the sim-to-real gap and practical deployment challenges. Work with domain experts inside and outside Basis to identify impactful applications of MARA technology in scientific discovery, manufacturing, or other domains. Distill insights from problem-solving into general mathematical and computational theories that advance our understanding of intelligence. Develop and maintain open-source software that enables reproducible research and broader community engagement with MARA technologies. (Optionally) Publish and present findings in journals and conferences to establish thought leadership in embodied AI and scientific reasoning. Contribute to the culture and direction of Basis by modeling scientific rigor, creative problem-solving, and commitment to advancing societal capabilities. 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 In-person Policy: We are in the office four days a week. 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. Start date: Immediate start possible. 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 .

Snapshot Work with research scientists and engineers to advance the capabilities of CodeMender, an AI agent for code security. Together, you will apply ML and advanced program analysis techniques to make software more secure. About Us Artificial Intelligence could be one of humanity's most useful inventions. At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role AI's cyberattack capability is increasing rapidly; recently, there has been a surge in the number of zero-day exploits found by AI in well-tested software. As we achieve more breakthroughs in AI-powered vulnerability discovery, it will become increasingly difficult for humans alone to keep up. We recently announced CodeMender, an AI agent for Code Security that helps solve this problem by taking a comprehensive approach to code security that's both reactive, instantly patching new vulnerabilities, and proactive, rewriting and securing existing code and eliminating entire classes of vulnerabilities in the process. As a research scientist in the CodeMender team, you will research new approaches to leveraging AI for code security, build prototypes and demos, train new models, work with partner and client teams, and most importantly, land transformative impact for GDM and software security more broadly. The preferred locations are Mountain View, San Francisco, or New York. Key responsibilities: Developing strategies and solutions to advance the agent's abilities to solve code security challenges. Integrating novel agentic techniques into research prototypes. Training new models using fine tuning or reinforcement learning techniques. Building evaluation pipelines, benchmarks, and leaderboards. Working with product teams to gather research and product requirements. Consulting on the deployment of research-based solutions to products. About You We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and at times change course if our ideas don't work out, so flexibility and adaptability to work is a must. In order to set you up for success as a Research Scientist or Research Engineer at DeepMind, we look for the following skills and experience: Extensive experience with developing ML techniques to reasoning and code generation problems MSc or PhD/DPhil degree in computer science or a related field. Significant success with project(s) building AI tools, either as research publications at top conferences, as an artifact developed at a company, or as open source artifact(s). Large contribution to the code and (co-)leading the development in the project(s) above (which can be a research prototype). Proven experience of prominent ML frameworks is highly desirable. Experience in ML/AI for Code is helpful. Independent, self-starter attitude. Passion for the mission above. The US base salary range for this full-time position is between $141,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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

Chronosphere Chronosphere is the observability platform built for control in the modern, containerized world. Chronosphere empowers customers to focus on the data and insights that matter by reducing data complexity, optimizing costs, and remediating issues faster. The observability platform reduces data volumes and associated costs by 60% on average while saving developers thousands of hours. Chronosphere's Fluent Bit-based Telemetry Pipeline optimizes and simplifies observability and security log data. The product transforms logs at the source and routes them to any destination without lock-in. Recognized as a leader by major analyst firms, Chronosphere is trusted by the world's most innovative brands, including Snap, Robinhood, DoorDash, and Zillow. Learn more at Chronosphere.io. Follow at LinkedIn and X. About the role Responsible for owning the vision, strategy and execution plan to bring new innovative products to market, starting with Chronosphere's log data management product. Responsible for bridging Chronosphere's customers and the Engineering team, building feedback loops and testing hypotheses to develop a deeply technical product that will serve a deeply technical Audience. You Will Own the vision, strategy roadmap and execution of new SaaS software products, specifically data driven products starting with Chronosphere's log data management product; Perform primary research and interview end-users and buyers to design these software products; Uncover innovative approaches to solve end-user needs through the use of Artificial Intelligence (AI), Machine Learning (ML) and/or data science techniques; Bring the new products to market from inception to significant revenue; Develop a deep understanding of Chronosphere's competition and their businesses; Set priorities and shape the roadmap for building and developing the new product; Communicate priorities and the roadmap, and align the team around them; Convert product concepts for the new product into projects buildable by software engineering teams; Serve as a product owner for a Scrum team working on observability features for the new log management product; Manage the backlog, groom stories, and breakdown tasks for the design, development, and building of the new product in an Agile framework; Develop a feedback system with a select group of customers to get feedback on new products to drive iterative product improvements; Drive new product requirements down onto our Data stores and SaaS infrastructure teams; Coordinate with product marketing and sales teams on positioning and messaging for the new product; Hire and manage a team of product managers; and Own the revenue target and incubate the business. You have Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Management Science, or a related field followed by 7 years of post-baccalaureate experience as a Product Manager. Experience must include the following, which may have been gained concurrently: 5 years of experience managing SaaS (software as a service) products on cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure; 5 Years of experience in a SCRUM or Agile software development processes; 5 years of experience overseeing entire product lifecycle including product vision, strategy, and design; 3 years of experience using, running, developing and building solutions on modern data storage technologies such as Data Platforms or No-SQL databases; 3 years of experience using, running, developing and building solutions on traditional Relational Database Management Systems (RDMBS) and using Structured Query Language (SQL); 3 years of experience developing applications using object-oriented languages including C#; 3 years of experience building end-user solutions leveraging Artificial Intelligence models, Machine Learning models, and data science techniques; 3 years of experience managing a team of 2 or more product managers. May telecommute from anywhere in the U.S. 15% Travel required across the United States. Location 33 Irving Place, Suite 8109, New York, NY 10004. Salary: $256,000 to $300,000 per year. Full-time employment. Please apply online at ********************************* This position is part of Chronosphere Inc.'s employee referral program and is eligible for an employee referral incentive. #LI-DNI Our benefits Health Insurance Coverage Flexible Time Off Competitive Salary Stock Options And More Chronosphere is an equal opportunity employer. You're encouraged to apply even if your experience doesn't line up exactly with the job description. Your skills, passion, and desire to make a difference will stand out. At Chronosphere, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge the standard. If you need additional accommodations to feel comfortable during your interview process, please email us at ********************** Before clicking “Submit Application”. To support our Diversity, Equity, and Inclusion (DEI) initiatives, we urge applicants to omit personal identifiers, including names, and any details that explicitly indicate gender or ethnicity from their applications to reduce bias. However, applying through our Applicant Tracking System (ATS) will include identifiable contact information. Although this step is optional, Chronosphere is deeply committed to DEI. We recognize that achieving DEI is an ongoing journey for us as a company, and we believe it begins with our approach to hiring. Identifying information includes your name, photos, LinkedIn URL, email address, and more.