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ai research scientist sr associate

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.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
  <li>
   You&rsquo;ll be able to choose which projects you want to work on
  </li>
  <li>
   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots complex physics problems and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
  </li>
  <li>
   A current, in progress, or completed Master's and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 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

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for an innovative and hands-on <b>Senior AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
This team embeds artificial intelligence and machine learning into our product portfolio and business to create smarter products, improve anti-fraud and security and enhance customer care. Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Perform hands-on data analysis and modeling with huge data sets</li><li>
Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms</li><li>
Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Discover data sources, get access to them, import them, clean them up, and make them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL</li><li>
Create and refine features from the underlying data. You&rsquo;ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you&rsquo;ll lather, rinse and repeat</li><li>
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders</li><li>
Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver</li></ul><div></div><p><b><br>
Qualifications</b></p><ul><li>
BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)</li><li>
1+ years of industry experience with AI science</li><li>
1+ years of experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn</li><li>
Efficient in SQL, Hive, or SparkSQL, etc.</li><li>
Comfortable in Linux environment</li><li>
1+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining</li><li>
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p><i><br>
Mountain View, CA: 173,500 - 234,500</i></p></div>

Senior AI Scientist

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for an innovative and hands-on <b>Staff AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.<br>
<i>Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.</i></li></ul><p><b><br>
Qualifications</b></p><ul><li>
4+ years of industry experience with AI science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent</li><li>
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Efficient in SQL, Hive, SparkSQL, etc.</li><li>
Comfortable working in a Linux environment</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
<br>
New York<i>: $201,500 - $273,000</i></p></div><p></p>

Staff AI Scientist

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

<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 Senior 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 $164,231 - $234,615 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>

Senior Research Scientist, Music

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