Applied Scientist Jobs in New York
Applied Scientist jobs in New York are among the most active in the country, with strong demand across fintech, health tech, e-commerce, and enterprise AI from entry-level research roles through principal and staff-level positions. The heaviest hiring concentrates in New York City, particularly Manhattan and Brooklyn, with additional activity in Buffalo and Albany where university research partnerships support applied work. Established employers with deep roots in New York include JPMorgan Chase, IBM, and Amazon, and the most sought-after specialties include natural language processing, recommendation systems, and causal inference. Find a role that fits below and apply directly.
Find Applied Scientist JobsOverview
Showing 5 of 59+ Applied Scientist jobs
DESCRIPTION
About Sponsored Products and Brands:
The Sponsored Products and Brands (SPB) organization 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.
About Our Team:
The Brand Beacon team is responsible for inventing impressions offerings for brands to increase share of voice via premium experiences, 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.
About This Role:
As a Senior Scientist for the team, you will have the opportunity to apply your deep subject matter expertise in the area of ML, LLM and GenAI models. You will invent new product experiences that enable novel advertiser and shopper experiences. This role will liaise with internal Amazon partners and work on bringing state-of-the-art GenAI models to production, and stay abreast of the latest developments in the space of GenAI and identify opportunities to improve the efficiency and productivity of the team. Additionally, you will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists and engineers.
This role will play a critical role in elevating the team’s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. You will communicate learnings to leadership and mentor and grow Applied AI talent across org.
- Develop AI solutions for advertiser and shopper experiences. Build monetization and optimization systems that leverage generative models to value and improve campaign performance.
- Define a long-term science vision and roadmap for our 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.
- Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses.
- Effectively communicate technical and non-technical ideas with teammates and stakeholders.
- Stay up-to-date with advancements and the latest modeling techniques in the field.
- 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.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- 3+ years in LLMs, model fine tuning and prompt engineering
- 3+ years in digital advertising technology.
PREFERRED QUALIFICATIONS
- Demonstrated track record of innovative AI solution development
- Experience with generative model architectures
- Research publications or patents in generative AI technologies
- Experience in Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG) and AI model trade-offs (e.g., model size, latency, cost, and output quality)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Location: USA, NY, New York - 183,800.00 - 248,700.00 USD annually
Location: USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
DESCRIPTION
About Sponsored Products and Brands:
The Sponsored Products and Brands (SPB) organization 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.
About Our Team:
The Brand Beacon team is responsible for inventing impressions offerings for brands to increase share of voice via premium experiences, 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.
About This Role:
As a Senior Scientist for the team, you will have the opportunity to apply your deep subject matter expertise in the area of ML, LLM and GenAI models. You will invent new product experiences that enable novel advertiser and shopper experiences. This role will liaise with internal Amazon partners and work on bringing state-of-the-art GenAI models to production, and stay abreast of the latest developments in the space of GenAI and identify opportunities to improve the efficiency and productivity of the team. Additionally, you will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists and engineers.
This role will play a critical role in elevating the team’s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. You will communicate learnings to leadership and mentor and grow Applied AI talent across org.
- Develop AI solutions for advertiser and shopper experiences. Build monetization and optimization systems that leverage generative models to value and improve campaign performance.
- Define a long-term science vision and roadmap for our 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.
- Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses.
- Effectively communicate technical and non-technical ideas with teammates and stakeholders.
- Stay up-to-date with advancements and the latest modeling techniques in the field.
- 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.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- 3+ years in LLMs, model fine tuning and prompt engineering
- 3+ years in digital advertising technology.
PREFERRED QUALIFICATIONS
- Demonstrated track record of innovative AI solution development
- Experience with generative model architectures
- Research publications or patents in generative AI technologies
- Experience in Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG) and AI model trade-offs (e.g., model size, latency, cost, and output quality)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Location: USA, NY, New York - 183,800.00 - 248,700.00 USD annually
Location: USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
See All 59 Applied Scientist Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Applied Scientist JobsApplied Scientist Jobs by City in New York
Where New York roles are concentrated, by current openings.
Applied Scientist Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Amazon36
- Thomson Reuters8
- Siemens3
- Datadog2
- SentiLink2
Top Industries Hiring
- Technology & Software16
- Banking & Financial Services5
- Consulting & Professional Services5
- Media & Entertainment4
- Distribution & Wholesale3
What New York Employers Look For
The qualifications that appear most often in applied scientist jobs across New York.
- Master's or PhD in computer science, statistics, or a closely related quantitative field
- Proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow
- Demonstrated ability to take models from experimentation to production at scale
- Experience designing and analyzing A/B tests or other causal experiments
- Strong communication skills for presenting findings to both technical and business stakeholders
- Familiarity with cloud infrastructure on AWS, GCP, or Azure for model deployment
Applied Scientist Jobs in New York: Frequently Asked Questions
How do you become a applied scientist in New York?
Most applied scientist roles in New York require at least a master's degree in computer science, applied mathematics, statistics, or a related quantitative field, and many research-oriented positions expect a PhD. New York does not issue a state license for applied scientists, so hiring decisions rest on academic credentials, a portfolio of shipped models or published research, and demonstrated experience with industry-scale data. Candidates without direct industry experience often enter through research internships at New York universities or through new-grad programs at large technology and financial firms.
How much do applied scientists make in New York?
Applied scientists in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire applied scientists in New York?
Employers hiring applied scientists in New York right now include Amazon, Thomson Reuters, and Siemens, based on current listings on Migrate Mate as of June 2026. New York's concentration of financial services, media, and enterprise software companies means demand is broad and sustained well beyond the technology sector alone.
Which New York cities have the most applied scientist jobs?
New York account for the most applied scientist openings in New York. New York City dominates because it is home to the U.S. headquarters of major banks, global technology offices, and a dense cluster of AI-focused startups, while cities like Buffalo benefit from university research anchors and growing health-tech employers that recruit applied scientists for data-intensive projects.
Are there remote applied scientist jobs in New York?
Yes, and more than most fields, since applied science work is largely computational and does not require a fixed on-site presence. About 25% of applied scientist openings tied to New York are remote or hybrid as of June 2026, reflecting the analytical and software-driven nature of the role. Modeling, experimentation, and research tasks are the most common functions performed fully remotely, while roles that involve close collaboration with product or engineering teams tend to require at least a hybrid schedule.
How can I get hired as a applied scientist in New York with little or no experience?
The most realistic entry path is a research internship or new-graduate program at a large New York employer, where candidates without full-time industry experience are evaluated primarily on their thesis work, Kaggle or GitHub portfolio, and familiarity with production ML tools. Financial institutions like JPMorgan Chase and technology companies with New York offices run structured new-grad hiring cycles each fall. Transitioning from a closely related role such as data scientist, research engineer, or quantitative analyst is also common, and candidates who can demonstrate end-to-end project ownership, even from academic work, gain a clear advantage.
Where can I find and apply to applied scientist jobs in New York?
You can find and apply to applied scientist jobs in New York on Migrate Mate, which lists current openings across the state. Search the listings to find roles that match your experience and specialization, then apply directly to the ones that fit.
See All 59 Applied Scientist Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Applied Scientist Jobs