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ai research scientist-sr. associate

ai researcher

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. 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.
<br>
<br>
You will work backwards from the needs of advertisers&mdash;delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and build agents to guide advertisers in conversational and non-conversational experience.</li><li>Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).</li><li>Curate datasets and tools for MCP.
</li><li>Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.</li><li>Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.</li><li>Prototype and iterate on multi-agent orchestration frameworks and workflows.</li><li>Collaborate with peers across engineering and product to bring scientific innovations into production.</li><li>Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest 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.<br>
<br>
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>
The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.<br>
<br>
Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</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>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in designing experiments and statistical analysis of results</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</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

Intuit

<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

<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>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through 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>
This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.<br>
<br>
We are seeking a science leader for our team within the Sponsored Products &amp; Brands organization. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!<br>
<br>
Key job responsibilities<br>
<ul><li>Serve as a tech lead for defining the science roadmap for multiple projects in the conversational ad experiences space powered by LLMs.</li><li>Build POCs, optimize and deploy models into production, run experiments, perform deep dives on experiment data to gather actionable learnings and communicate them to senior leadership</li><li>Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.</li><li>Work closely with product managers to contribute to our mission, and proactively identify opportunities where science can help improve customer experience
</li><li>Research new machine learning approaches to drive continued scientific innovation</li><li>Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences</li><li>Help attract and recruit technical talent, mentor scientists and engineers in the team</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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>

Senior Applied Scientist, Conversational Ad Experiences

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 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 $132,073 - $188,676 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.</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>

Research Scientist, Music

Dream

<div><div>Originally<b> </b><b>founded in 1991</b><b> </b>as Harlem RBI, DREAM has grown to annually serve more than 2,500 youth across East Harlem and the South Bronx through a network of seven PreK-12, extended-day, extended-year DREAM Charter Schools and community sports-based youth development programs. Through our <b>commitment</b> to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom. We dream big, as well, with an aggressive five-year plan to expand to serve 3,500 students across <b>seven schools</b>&mdash;growing our <b>organization&rsquo;s impact</b> and leveling the playing field for all children. To learn more, visit <b>wearedream.org</b><b>.</b></div><div></div><div><br>
The <b>Prospect Researcher</b> plays a critical role in expanding DREAM&rsquo;s donor base through proactive prospect sourcing, research, and cultivation. Reporting to the Senior Director of Advancement Operations, the Prospect Researcher will continue to build a strong donor acquisition program that will source and qualify donors through research, strategic cultivation and fundraising events and partner with fundraising leads to build robust major gifts portfolios across the team. This role is a great opportunity for someone looking to evolve and grow a prospect research function as part of building a best-in-class major gifts program.</div><div></div><div><br>
The ideal candidate will demonstrate an expansive and strategic approach to prospect research, with a strong emphasis on accuracy, thoroughness, and meticulous record-keeping.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><b>
Prospect Research and Identification</b></li><li>
Proactively identify potential prospects from a variety of sources, including databases, networks, and external events;</li><li>
Prepare and present detailed research reports on donor biographies, philanthropic interests, and giving capacity;</li><li>
Synthesize research into various documents to support the fundraising process, including in-depth prospect and donor profiles, biographies, lists, and meeting briefings;</li><li>
Execute relationship mapping for DREAM volunteer leaders and top donors;</li><li>
Utilize research and wealth screening tools, along with experience using database applications for prospect identification and management;</li><li>
Monitor news, trends, and wealth events to maintain up-to-date intelligence on high-net-worth individuals and potential donors.</li></ul><div></div><ul><li><b><br>
Donor Pipeline Building and Management</b></li><li>
Manage regular prospect reviews with frontline fundraisers to refresh portfolios and build their prospect pools;</li><li>
Collaborate with team leaders in portfolio reviews, prioritization, and qualification of new prospects;</li><li>
Provide strategic recommendations for donor engagement based on research findings, ensuring alignment with DREAM's new donor acquisition strategy.</li></ul><div></div><ul><li><b><br>
Systems and Operations</b></li><li>
Build systems, tools, and workflows to grow and evolve DREAM&rsquo;s prospect research function;</li><li>
Track and report KPIs measuring prospecting activity and results;</li><li>
Maintain and analyze data on prospective and existing donors;</li><li>
Assist in maintaining the accuracy and integrity of records in the donor database.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li>
Bachelor&rsquo;s degree, preferred;</li><li>
Three plus years of dedicated prospect research experience in a non-profit setting;</li><li>
Excellent project management skills, including the ability to prioritize and organize work streams with high attention to detail and meet deadlines;</li><li>
Ability to quickly evaluate and synthesize large volumes of information into concise and actionable insights;</li><li>
Strong knowledge of research and wealth screening tools, along with experience using database applications for prospect identification and management;</li><li>
Analytical mindset and ability to use data to support efficiencies and strategies;</li><li>
Curiosity and ability to connect dots between donors and prospects;</li><li>
Strong entrepreneurial skills, a take-initiative attitude, and the ability to thrive in a fast-paced environment;</li><li>
Ability to create positive working relationships with a variety of internal and external stakeholders;</li><li>
A strong belief in the mission and values of DREAM, including the belief that all students can succeed, and a deep desire to make a difference in the lives of our students, families, and community.</li></ul><h3 class="jobSectionHeader"><b>
Working Expectations</b></h3><ul><li>
The Prospect Researcher is part of the Advancement team, which currently works 3 days in the office and up to 2 days remote, per week (subject to change, and with some weeks requiring more time in-person, for example for donor events);</li><li>
Some evening and/or weekend work, for example to attend donor events, is required.</li></ul><h3 class="jobSectionHeader"><b>
Benefits and Paid Time Off</b></h3><ul><li><b>
We offer comprehensive benefits including:</b></li><li>
Flexible Medical Health Plans, subsidizing the majority of costs for the employee, their spouse/domestic partner and children;</li><li>
The ability to select between a variety of medical plans according to what best suits the employee&rsquo;s needs;</li><li>
Dental and vision plans;</li><li>
Disability benefits;</li><li>
Life insurance;</li><li>
Up to 12 weeks fully paid of Parental Leave;</li><li>
Flexible spending account options;</li><li>
Pre-tax commuter benefits (parking and transit);</li><li>
Fitness and entertainment discounts;</li><li>
A variety of support through our employee assistance program (EAP);</li><li>
A 403(b) retirement plan with employer matching up to 4% after one year of employment;</li><li>
Access to a professional development fund;</li><li>
Referral bonuses;</li><li>
All full-time Network Support Team employees are eligible for approximately 48 days off throughout the year including holidays, sick days, personal days and summer Fridays;</li><li><i>
Benefits are subject to change.</i></li></ul><h3 class="jobSectionHeader"><b>
Compensation</b></h3><ul><li>
DREAM offers a competitive salary commensurate with relevant experience with the potential for an annual performance-based increase. The incoming salary range for this position is $80,000 to $95,000 per year. New hires are typically brought into the organization at a salary closer to the start of the range depending on qualifications, internal equity, and the budgeted amount for the role. All staff are eligible for annual performance-based increases. Because we value staff tenure in each role, we do not currently cap salary ranges.</li></ul><div><b>
Our Commitment to Diversity, Equity, and Inclusion</b></div><div></div><div><br>
At DREAM, diversity, equity, and inclusion are a matter of mission.</div><div></div><div><br>
From our schools to our playing fields, DREAM is committed to building a team where each individual can bring their full identity and experience to work because representation matters&mdash;it enriches our team culture, enhances our ability to innovate, and strengthens our impact in and out of the classroom. DREAM engages staff that represent and appreciate the diversity of our majority Black and Hispanic student body, while working to ensure that our practices are equitable, welcoming, and productive. We are dedicated to creating a world where youth, especially youth of color, have permission to dream&mdash;along with the tools and opportunities to make their dreams reality.</div><div></div><div><b><br>
Come dream with us</b><b>.</b></div><div></div><div><b><br>
DREAM Maxims</b></div><div></div><div><br>
All Kids Can. This Kid Can.</div><div>
DREAM is Family.</div><div>
Fun is a Serious Value.</div><div>
Teamwork Makes the DREAM Work.</div><div>
Fail. Persist. Exceed.</div><div>
DREAM Big.</div><div></div><div><b><br>
Applying to DREAM</b></div><div></div><div><br>
We know applying for a new job can be a daunting process. In addition, studies have shown that historically underrepresented individuals often only apply to roles if they meet 100% of the qualifications. We encourage all applications! You may be just the person we need. If you have any questions about your application or interview process, do not hesitate to ask your recruiter; we are here to help!</div><div></div><div><br>
DREAM provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If accommodation is needed to participate in the job application or interview process, please contact your recruiter.<br>
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<div><b>If you are a current DREAM employee, please </b><b>click here to review our Internal Selection Process</b><b> before applying.</b></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Prospect Researcher

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