energy research scientist Jobs in New York

energy research scientist

research coordinator

ai research scientist-sr. associate Jobs in New York

ai research scientist-sr. associate

ai-search coordinator – research, strategy & analytics (ny) Jobs in New York

ai-search coordinator – research, strategy & analytics (ny)

applied scientist

ai research scientist

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;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&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
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.</p><p>
</p><p><b>Job responsibilities</b></p><ul>
<li>Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning</li>
<li>Collaborate with internal and external researchers and with applied engineering teams</li>
<li>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</li>
<li>Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals</li>
<li>Participate in relevant top-tier academic conferences to broaden the impact of your contributions</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul>
<li>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</li>
<li>Research publications in prominent AI venues; e.g., conferences, journals</li>
<li>Strong expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, &hellip;</li>
<li>Optional: expertise in synthetic data, generative AI, protecting our customers clients and institutional knowledge (e.g., differential privacy, machine unlearning, membership/reconstruction attacks), LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series reasoning and foundational models)</li>
<li>Proficiency with rapid prototyping and disciplined software development processes</li>
<li>Expertise in software engineering within collaborative project settings</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul>
<li>Extensive programming skills in Python (required), Java or C++ (optional)</li>
<li>Interest in problems related to the financial services domain (specific past experience in the domain is not required)</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

AI Research Scientist-Sr. Associate

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.
 <br/>
 <br/>
 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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 </ul>
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  Responsibilities
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   Give AI chatbots complex physics problems and evaluate their outputs
  </li>
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   Evaluate the quality produced by AI models for correctness and performance
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   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
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 </strong>
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   Fluency in English (native or bilingual level)
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   Detail-oriented
  </li>
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   Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
  </li>
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   A current, in progress, or completed Master's and/or PhD is preferred but not required
   <br/>
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  </li>
 </ul>
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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.
 <br/>
 <br/>
 #physics
</div>


Energy Research Scientist

Amazon.com

<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>
<br>
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

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video team member, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
Key job responsibilities<br>
As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, multimedia understanding and so on.
<br>
<br>
You&rsquo;ll work on diverse projects that enhance Prime Video&rsquo;s content localization, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:
<br>
<ul><li>Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia
</li><li>Innovate in advanced diffusion and flow-based methods (e.g., inverse flow matching, parameter efficient training, guided sampling, test-time adaptation) to improve efficiency, controllability, and scalability.
</li><li>Advance visual grounding, depth and 3D estimation, segmentation, and matting for integration into pre-visualization, compositing, VFX, and post-production pipelines.
</li><li>Design multimodal GenAI workflows including visual-language model tooling, structured prompt orchestration, agentic pipelines.</li></ul><br>
A day in the life<br>
Prime Video is pioneering the use of Generative AI to empower the next generation of creatives. Our mission is to make world-class media creation accessible, scalable, and efficient.
<br>
<br>
We are seeking an Applied Scientist to advance the state of the art in Generative AI and to deliver these innovations as production-ready systems at Amazon scale. Your work will give creators unprecedented freedom and control while driving new efficiencies across Prime Video&rsquo;s global content and marketing pipelines. This is a newly formed team within Prime Video Science!</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in generative models (diffusion, flow, transformers)</li><li>Hands-on experience with image/video synthesis and editing techniques</li><li>Proficiency in PyTorch and modern DL toolkits (e.g., Hugging Face ecosystem)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Publications in top-tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR)</li><li>Experience with controllable generation methods, including emerging approaches (familiarity with LoRA/ControlNet, parameter-efficient tuning, or test-time training a plus)</li><li>Expertise in one or more of: harmonization, relighting, style transfer, lip-sync, segmentation, matting, depth estimation, 3D camera/scene modeling.</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 $150,400/year in our lowest geographic market up to $260,000/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>

Sr. Applied Scientist, Prime Video - Generative AI

<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

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 Staff 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 $203,795 - $291,136 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>

Staff Research Scientist, Music

Explore 358+ Ai research scientist in New York this November. Find roles across top companies and apply now to boost your career.

358 ai research scientist jobs IN New York

AI Research Scientist-Sr. Associate

Energy Research Scientist

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

Sr. Applied Scientist, Prime Video - Generative AI

Applied Scientist, Artificial General Intelligence

Energy Research Scientist

Staff Research Scientist, Music