energy research scientist Jobs in New York United States

energy research scientist

advertising research analyst Jobs in New York United States

advertising research analyst

applied scientist Jobs in New York United States

applied scientist

applied scientist, artificial general intelligence Jobs in New York United States

applied scientist, artificial general intelligence

assistant program director Jobs in New York United States

assistant program director

assistant research scientist

NYU Langone Health

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 1149536_RR00109957 Job ID: 1149536_RR00109957
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 NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
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  For more information, go to
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  med.nyu.edu
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  Position Summary
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 We have an exciting opportunity to join our team as a Assistant Research Scientist.
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 In this role, the successful candidate will be responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the PI's laboratory.
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  Job Responsibilities
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   Develops new ideas that promote current research. Exercises a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding extensive scientific research programs and activities of outstanding novelty and/or importance.
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   May manage the operations of a lab for the Principal Investigator by supervising Post Docs and technicians. Oversees the maintenance and upkeep of all instruments and laboratory facilities.
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   Ensures timely and accurate completion of research projects.
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   May provide students with technical guidance and direction in the operation of various sample preparation techniques, extraction lines, and equipment as well as general laboratory practices and safety protocols.
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   May seek grant funding from external sources in support of their independent research projects with consent of the PI and the Department Chair. May participate in writing grant proposals.
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   May be responsible research/lab quality control and compliance.
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   May develop protocol for the collection and quality of research data.
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   Develops research techniques and methodologies.
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   May determine and establish laboratory policies, procedures and practices.
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   Maintains a thorough knowledge of the advances in specialized fields through attendance of scientific conferences.
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   May make significant contributions to scientific papers. Is a resource/ author/ co-author for reports and presentations.
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   May provide recommendations for equipment purchases and for the redesign of lab space.
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   May coordinate the activity and experimental design between various labs, scientific staff, and collaborators. Identifies and resolves technical problems.
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   Initiates, interprets, organizes, executes, and coordinates research assignments critical to department's mission.
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   Formulates and conducts research on problems of considerable scope and complexity.
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   Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.
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   Makes decisions and recommendations that have a major impact on extensive scientific research activities.
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  </li>
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  Minimum Qualifications
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 To qualify you must have a MS degree in a related discipline and 0-1 year of experience or equivalent combination of education and experience.
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  Preferred Qualifications
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 Substantial experience from having completed Post Doc training. Established a record of publications
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  Qualified candidates must be able to effectively communicate with all levels of the organization.
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 NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
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 NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
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 View Know Your Rights: Workplace discrimination is illegal.
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 NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $55,000.00 - $70,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
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 To view the Pay Transparency Notice, please click here
</div>


Assistant Research Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities.<br>
<br>
Key job responsibilities<br>
Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas:<br>
<ul><li>Scaling laws</li><li>Hardware-informed efficient model architecture, low-precision training</li><li>Optimization methods, learning objectives, curriculum design</li><li>Deep learning theories on efficient hyperparameter search and self-supervised learning
</li><li>Learning objectives and reinforcement learning methods</li><li>Distributed training methods and solutions</li><li>AI-assisted research</li></ul><br>
About the team<br>
The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>1+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computer Science, Electrical Engineering, Mathematics or related field</li><li>Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with popular deep learning frameworks, including PyTorch</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Artificial General Intelligence

DataAnnotation

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
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 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
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  Benefits
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   This is a full-time or part-time REMOTE position
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   You&rsquo;ll be able to choose which projects you want to work on
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   You can work on your own schedule
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   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
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  Responsibilities
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   Give AI chatbots complex physics problems and evaluate their outputs
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   Evaluate the quality produced by AI models for correctness and performance
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  Qualifications
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   Fluency in English (native or bilingual level)
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   Detail-oriented
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   Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
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   A current, in progress, or completed Master's and/or PhD is preferred but not required
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  Notes
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 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
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 #physics
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Energy Research Scientist

Point72

<div><div><div><p><b>EXPERIENCE</b></p>
<div>Early Career</div>
</div><div><p><b>LOCATION</b></p>
<div>New York</div>
</div><div><p><b>FOCUS</b></p>
<div>Data Science &amp; Analytics | Systematic Data</div>
</div><div><p><b>BUSINESS</b></p>
<div>Cubist</div></div></div></div>
<br><div><h3 class="jobSectionHeader"><b>About Cubist</b></h3>
<p>
Cubist Systematic Strategies is one of the world&rsquo;s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.</p><h3 class="jobSectionHeader"><b><br>
Role</b></h3>
<p>
We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.</p><p></p><p><br>
Cubist&rsquo;s data services group is looking for a Data Scientist Intern to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.</p><p></p><p><br>
This exceptional individual will be a member of a small team of Data Scientists/Analysts who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.</p><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3>
<ul><li>Analyzing financial datasets and preparing reports for investment teams</li><li>
Creating derived data content and data ingestion pipelines</li><li>
Identifying potential data sources</li><li>
Engaging with vendors to understand characteristics of datasets</li><li>
Defining and automating qualitative data checks</li><li>
Assisting with data questions and requests from investment teams</li><li>
Creating and maintaining internal documentation on datasets</li></ul><br>
<h3 class="jobSectionHeader"><b>
Requirements</b></h3>
<ul><li>Basic level programming experience in Python and SQL</li><li>
Financial industry experience preferred but not required</li><li>
Strong organization, communication, and interpersonal skills</li><li>
Attention to detail and a love of process</li><li>
Strong oral and written communication skills</li><li>
Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues</li><li>
Ability to multitask and prioritize assignments</li><li>
Commitment to the highest ethical standards</li></ul><p></p><p><br>
The annual base salary range for this role is $125,000-$130,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.</p></div>

Data Scientist Intern

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
<br>
<br>
Key job responsibilities<br>
The Principal Applied Scientist in Advertiser Guidance team will lead 50+ builders in pioneering a new generation of agentic AI applications for Amazon advertisers. You will define and lead the science roadmap of developing agentic experiences for recommendations and guidance delivered to +1.6MM Sponsored Products and Brand advertisers across multiple channels (Ad Console, Sales-managed, and 3P partners).
<br>
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You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers&mdash;delivering customer-facing products that directly help them create, optimize, and grow their campaigns.
<br>
<br>
As a Principal Scientist, you will play a critical role in elevating the team&rsquo;s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. You will communicate learnings to leadership and mentor and grow Applied AI talent across the Ads Org.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD in Computer Science, Statistics or related field.</li><li>5+ years of applied ML experience in building customer-facing recommender systems involving AI, ML, and NLP.</li><li>Hands-on experience with designing and prototyping AI solutions for real world applications.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Research publications or patents in generative AI technologies</li><li>Experience with natural language processing and generative model architectures</li><li>Background in advertising technology or e-commerce platforms</li><li>Demonstrated track record of innovative AI solution development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Principal Applied Scientist, Advertiser Growth, Amazon Sponsored Products & Brands

Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div><div><div>
Research Science</div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
We are seeking a Principal 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:</div></div><div><div><div><br>
</div><div>Partnerships with record labels, distributors, and music publishers: We&rsquo;ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</div><div>
Choice in participation: We recognize there&rsquo;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.</div><div>
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.</div><div>
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.</div><div><br>
</div><div>For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
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.</li><li>
Run large-scale experiments with access to Spotify&rsquo;s extensive infrastructure and an audience of more than 700 million monthly active users.</li><li>
Create practical applications that harness generative technologies, pushing the boundaries of what&rsquo;s possible in listening experiences.</li><li>
Collaborate as part of a cross-functional team&mdash;working closely with scientists, engineers, product managers, designers, user researchers, and analysts&mdash;to craft innovative solutions to complex challenges.</li><li>
Have a direct impact on Spotify&rsquo;s products, tools, and services, working on projects that influence the entire organization.</li><li>
Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.</li><li>
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.</li><li>
You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.</li><li>
You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.</li><li>
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.</li><li>
You are enthusiastic about learning more about turning research ideas into products operating at scale.</li><li>
You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
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.</li><li>
This team operates within the Eastern Standard time zone for collaboration.</li><li>
Core working hours are CET 3pm-6pm / EST 9am-12pm.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $252,318 - $360,454 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.</div><div></div><div><br>
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&rsquo;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&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
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&rsquo;re here to support you in any way we can.</div><div></div><div><br>
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&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Principal Research Scientist, Music

Explore 161+ Assistant research scientist in New York United States this November. Find roles across top companies and apply now to boost your career.

161 assistant research scientist jobs IN New York United States

Assistant Research Scientist

Applied Scientist, Artificial General Intelligence

Energy Research Scientist

Energy Research Scientist

Data Scientist Intern

Principal Applied Scientist, Advertiser Growth, Amazon Sponsored Products & Brands

Principal Research Scientist, Music