associate, data engineer Jobs in New York United States

associate, data engineer

senior data analyst Jobs in New York United States

senior data analyst

senior data engineer Jobs in New York United States

senior data engineer

data scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.<br>
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As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
Key job responsibilities<br>
Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI<br>
<br>
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results<br>
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Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems<br>
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Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports<br>
<br>
About the team<br>
We are passionate scientists dedicated to pushing the boundaries of innovation in Gen AI with focus on Software Development use cases for LLMs.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members</li><li>Experience building state of the art reinforcement learning pipelines for LLMs</li><li>Knowledge about latest important benchmarks and LLM-based algorithms applied to software 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>
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, AGI Foundations

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon&rsquo;s global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for managing and evolving Amazon&rsquo;s human capital through intelligent talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops science products and services to facilitate Amazon&rsquo;s growth and development of talent across all of our businesses and locations around the world.
<br>
<br>
Our vision in GTM Science is to use machine learning and science to scalably solve organizational challenges focused on talent movement, talent differentiation, employee-role matching, promotion processes, organizational design and succession planning, diversity and inclusion, and new areas that address the evolving needs of our diverse employee base.
<br>
<br>
We are looking for an experienced machine learning scientist to work on talent science products that draw from a range of fields such as algorithmic fairness, natural language processing, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning and others on rich and novel datasets. The role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate these models into production systems.
<br>
<br>
As an applied scientist in GTM Science, you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the People Experience and Technology space. You will help to solve high impact business problems in an unconventional domain, and be encouraged to patent and publish your contributions. If this kind of work excites you, reach out to us to find out more!
<br>
<br>
Key Responsibilities
<br>
<ul><li>Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders.
</li><li>Develop fair predictive models to understand important business and people-centered outcomes
</li><li>Productionize ML and science models at the scale of Amazon
</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>
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 , AMX Science

Lensa

<div>
 Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for City of New York. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 The Bureau of Mental Health&rsquo;s (BMH) mission is to improve mental health and wellness for people in New York City, and to eliminate racial and other long-standing societal disparities by providing services, resources, and opportunities to New Yorkers that are grounded in accurate, data-driven information that fosters community participation, thus reducing the stigma around mental health. This includes procuring and monitoring more than 500 contracted programs that provide mental health treatment, psychiatric rehabilitation, supportive housing, care coordination and advocacy services, and operating court-mandated Assisted Outpatient Treatment (AOT), Single Point of Access (SPOA) for mobile treatment and care coordination, and the NYC Supportive Treatment and Recovery Team (NYC START) for people with first episode psychosis.
 <br/>
 <br/>
 <strong>
  Position Summary:
  <br/>
  <br/>
 </strong>
 The Office of Research and Evaluation (ORE) supports Bureau Leadership and Bureau Offices by providing surveillance, needs assessment research, program evaluation, data system development, and maintenance, and program data reporting to support the work of the bureau. The Data Analyst will directly support the work of all the offices in the Bureau of Mental Health with data management and analysis of population level and program-specific data. In addition, they will inform the larger public through publications and presentations.
 <br/>
 <br/>
 Job Duties and Responsibilities: The Data Analyst will:
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate with program staff and IT to develop and refine data collection instruments and improve data systems and processes.
  </li>
  <li>
   Work with program stakeholders to develop specific and measurable program metrics for operational and performance management. Provide ongoing recommendations for data-driven tracking and continuous improvement of program outcomes, including clubhouse, NYC START, SPOA, etc.
  </li>
  <li>
   Process, clean, and prepare data for analysis and reporting; data check; document data management procedures (e.g., data dictionaries, business rules); monitor data quality, identify issues, and work with program staff to resolve.
  </li>
  <li>
   Prepare routine reports and presentations of program performance with data graphs/service trends; Clearly communicate (oral, written, and through data visualizations) results of analyses to program staff/leadership and other non-technical audiences.
  </li>
  <li>
   Maintain and update existing dashboards as needed using software such as Power BI; Assist in developing new dashboards as needed.
  </li>
  <li>
   Respond quickly and accurately to ad hoc data requests for internal (e.g., Directors, Assistant Commissioners) and external audiences (e.g., public hearings, City Hall).
  </li>
  <li>
   Work with leadership and program stakeholders on interpretation and limitations of data analysis results and provide actionable recommendations.
  </li>
  <li>
   Develop training materials and conduct trainings on updates to the data collection system as needed. Create guidance documents for internal staff and external users detailing updates to the system.
  </li>
  <li>
   Manage multiple projects and collaborate with other research and program staff.
  </li>
  <li>
   Incorporate an equity lens in all aspects of work.
  </li>
  <li>
   Conduct special projects and perform other duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience processing, cleaning, manipulating, and analyzing large program or administrative datasets using statistical software such as SAS, SQL, and/or R is required.
  </li>
  <li>
   Ability to work independently and problem solve.
  </li>
  <li>
   Experience in querying, cleaning, and maintaining large relational databases.
  </li>
  <li>
   Willingness to be flexible and work as part of a team.
  </li>
  <li>
   Experience working with an electronic health, social service, or case management record system such as Maven.
  </li>
  <li>
   Experience with data visualization software such as Power BI, and/or Tableau.
  </li>
  <li>
   Excellent interpersonal, analytical, research, presentation, written and oral communication skills.
  </li>
  <li>
   Experience in quantitative analytical methods.
  </li>
  <li>
   Experience with public mental health systems and recovery-oriented practices.
  </li>
  <li>
   Strong organizational skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why You Should Work For Us:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Loan Forgiveness: As a prospective employee of the City of New York, you may be eligible for federal/state loan forgiveness and repayment assistance programs that lessen your payments or even fully forgive your full balance. For more information, please visit the U.S. Department of Education&rsquo;s website (https://studentaid.gov/pslf/)
  </li>
  <li>
   Benefits: City employees are entitled to unmatched benefits such as:
  </li>
  <li>
   a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment.
  </li>
  <li>
   additional health, fitness, and financial benefits may be available based on the position&rsquo;s associated union/benefit fund.
  </li>
  <li>
   a public sector defined benefit pension plan with steady monthly payments in retirement.
  </li>
  <li>
   a tax-deferred savings program and
  </li>
  <li>
   a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers.
  </li>
  <li>
   Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home.
  </li>
  <li>
   Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work.
   <br/>
   <br/>
  </li>
 </ul>
 Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise.
 <br/>
 <br/>
 Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers!
 <br/>
 <br/>
 The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549.
 <br/>
 <br/>
 <strong>
  Why You Should Work For Us:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Benefits: City employees are entitled to unmatched benefits such as:
  </li>
  <li>
   a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment.
  </li>
  <li>
   additional health, fitness, and financial benefits may be available based on the position&rsquo;s associated union/benefit fund.
  </li>
  <li>
   a public sector defined benefit pension plan with steady monthly payments in retirement.
  </li>
  <li>
   a tax-deferred savings program and
  </li>
  <li>
   a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers.
  </li>
  <li>
   Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home.
  </li>
  <li>
   Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work.
   <br/>
   <br/>
  </li>
 </ul>
 Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise.
 <br/>
 <br/>
 Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers!
 <br/>
 <br/>
 The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549.
 <br/>
 <br/>
 CITY RESEARCH SCIENTIST - 21744
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
   <br/>
   <br/>
  </li>
 </ul>
 To be appointed to Assignment Level II and above, candidates must have:
 <br/>
 <br/>
 <ul>
  <li>
   A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
  </li>
  <li>
   A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
  </li>
  <li>
   Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Note:
  <br/>
  <br/>
 </strong>
 Probationary Period
 <br/>
 <br/>
 Appointments to this position are subject to a minimum probationary period of one year.
 <br/>
 <br/>
 Additional Information
 <br/>
 <br/>
 The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
 <br/>
 <br/>
 Salary Min: $ 87,743.00
 <br/>
 <br/>
 Salary Max: $100,904.00
 <br/>
 <br/>
 If you have questions about this posting, please contact support@lensa.com
</div>


Data Analyst, Bureau of Mental Health

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands:
<br>
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>
About Our Team:
<br>
The Sponsored Brands Impressions-based Offerings team is responsible for evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale, helping brands get discovered, acquire new customers and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility and share of voice. This includes building advertiser controls, shopper experiences, monetization strategies and optimization features. We succeed when (1) shoppers discover, engage and build affinity with brands and (2) brands can grow their business at scale with our advertising products.
<br>
<br>
About This Role:
<br>
As an Applied Scientist on our team, you will:
<br>
<br>
<ul><li>Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build monetization and optimization systems that leverage generative models to value and improve campaign performance.</li><li>Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses.
</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;
</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field.</li><li>Think big about the arc of development of Gen AI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems.</li></ul><br>
#GenAI</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>3+ years in digital advertising technology.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated track record of innovative AI solution development.</li><li>Experience with generative model architectures.</li><li>Research publications or patents in generative AI technologies.</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>
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, Sponsored Products and 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

Affinity

<div></div><div><div><p><b>New York, NY; San Francisco, CA; USA (Remote)
</b></p></div><div><p>Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network.</p>
<p>
This role is part of the <b>AI Insights</b> team, which owns the services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a <b>Senior Machine Learning Engineer</b>, you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build AI systems that efficiently uncover insights from compelling business interaction data &ndash; an exciting and unique opportunity within the industry.</p>
<p><b>
This is an applied machine learning position with a strong emphasis on engineering, not research.</b> You will play a key role in advancing our ML Engineering capabilities, particularly in recommendation systems and information retrieval.</p>
<p><b>
What you&rsquo;ll be doing:</b></p>
<ul>
<li><b>Own the full ML lifecycle</b>: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.</li>
<li><b>Translate business needs into ML solutions</b>: Gather product requirements and translate them into robust ML system design requirements.</li>
<li><b>Build sophisticated recommendation and ranking systems</b>: Design and implement ranking and recommendation systems using techniques such as learn-to-rank (LTR) and collaborative filtering.</li>
<li><b>Solve complex problems</b>: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.</li>
<li><b>Collaborate cross-functionally</b>: Partner with cross-functional teams (product management, infrastructure, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.</li>
</ul>
<p><b>Qualifications</b></p>
<p>
Don&rsquo;t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role, but your past experience doesn&rsquo;t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p>
<p><b>
Required:</b></p>
<ul>
<li>5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production.</li>
</ul>
<p><b>Recommendation Systems &amp; Information Retrieval:</b></p>
<ul>
<li>Hands-on experience developing recommendation and ranking systems at scale, using techniques such as:</li>
<ul><li>Learn-to-rank (LTR) algorithms, including RankNet, LambdaRank, or similar approaches</li>
<li>Collaborative filtering and content-based filtering</li>
<li>Reranking strategies and hybrid search implementations</li>
<li>Information retrieval and relevance scoring</li>
</ul><li>Solid understanding of machine learning techniques, including clustering and decision forests.</li>
</ul>
<p><b>ML Engineering:</b></p>
<ul>
<li>Experiences with serving ML models for streaming and batch inference at scale.</li>
<li>Experience with vector databases (milvus, weaviate) or graph database (Neo4j)</li>
<li>Proficiency in Python and modern ML frameworks (PyTorch, Scikit-learn, or similar)</li>
<li>Track record of building maintainable, testable, and production-grade codebases</li>
<li>Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement.</li>
<li>Develop AI applications powered by LLMs and agent-based systems</li>
<li>Familiar with modern LLM development frameworks:</li>
<ul><li><b>Feature development:</b> LangChain, LlamaIndex, or similar orchestration frameworks</li>
<li><b>Evaluation &amp; monitoring: </b>LangSmith, Weights &amp; Biases, TruLens, DeepEval, Azure AI, or equivalent tools</li>
</ul><li>Experience with text-to-SQL (text2sql) generation or similar natural language to structured query tasks</li>
<li>Experience with packaging, CI/CD and pipeline automation.</li>
</ul>
<p><b>Tech stack</b>: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference.</p>
<p><b>
How we work:</b></p>
<p>
Our culture is a key part of how we operate, as well as our hiring process:</p>
<ul>
<li>We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.</li>
<li>We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with.</li>
<li>We make data-driven decisions and make the best decision for the moment based on the information available.</li></ul><br>
<p></p>
<p><b>
What you'll enjoy at Affinity:</b></p>
<ul>
<li><b>We live our values:</b> As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and &quot;taste the soup&quot; by diving deep into experiences to create the best outcomes for our colleagues and clients.</li>
<li><b>Health Benefits:</b> We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal &amp; sick days to support your well-being.</li>
<li><b>Retirement Planning:</b> We offer a 401(k) plan to help you plan for your future.</li>
<li><b>Learning &amp; Development:</b> We provide an annual education budget and a comprehensive L&amp;D program.</li>
<li><b>Wellness Support:</b> We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.</li>
<li><b>Team Connection:</b> Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.</li>
</ul>
<p>Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.</p>
<p>
A reasonable estimate of the current range is <b>$106,200 to $210,000 USD</b>. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.</p>
<div><p><b>About Affinity</b></p>
<p>
With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.</p>
<p><b>
We use E-Verify</b></p>
<p>
Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.</p></div></div></div>

Senior Machine Learning Engineer, AI Insights

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands<br>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-art 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>
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:<br>
<br>
<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</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>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</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>
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, Sponsored Products and Brands, Off-Search

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