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Internship Applied Scientist Machine Learning Jobs in New Rochelle, NY

Amazon

Applied Scientist III - AMZ27579.1

New York, NY · On-site

$183K - $248K/yr

Applied Scientist III - AMZ27579.1 Location: New York, NY Multiple Positions Available: Participate ... for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply ...

Doist

Manager, Applied Science

Manhattan, NY · On-site

$300 - $390/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant ...

New

Garner Health

Manager, Applied Science

New York, NY · Hybrid

The ideal candidate has: * 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant ...

Triwill Group

Staff Applied AI/ML Scientist

Manhattan, NY · On-site

$158 - $237/hr

... Applied Scientist, you will play a crucial role in developing, improving, and exploring the ... Help develop and productionize machine learning (ML) solutions leveraging our customised models in ...

New

Amazon

Applied Scientist

Newark, NJ

... Machine Learning (ML), Artificial Intelligence (AI) and Generative AI, Natural Language Processing ... As an Applied Scientist, you will... - Understand use cases across the business and adopt/extend ...

Amazon

Applied Scientist

Newark, NJ · On-site

... Machine Learning (ML), Artificial Intelligence (AI) and Generative AI, Natural Language Processing ... As an Applied Scientist, you will... - Understand use cases across the business and adopt/extend ...

Audible, Inc. - B13

Applied Scientist

Newark, NJ · On-site

... Machine Learning (ML), Artificial Intelligence (AI) and Generative AI, Natural Language Processing ... As an Applied Scientist, you will... - Understand use cases across the business and adopt/extend ...

Nelo

Data Scientist (Machine Learning)

Manhattan, NY · On-site

Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves ...

Nelo Mobile

Data Scientist (Machine Learning)

New York, NY · On-site

$180K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Move fast, learn fast: hundreds of experiments run monthly; rigorous experimentation culture Why this Role is Different Most Data Science roles currently on the market are focused on optimizing ad ...

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Showing results 41-60

All JobsApplied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning Jobs in New Rochelle, NY

Internship Applied Scientist Machine Learning information

See New Rochelle, NY salary details

$26.2K

$43.8K

$90.6K

How much do internship applied scientist machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for internship applied scientist machine learning in New Rochelle, NY is $43,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,400.00 and $47,300.00 per year, depending on experience, location, and employer.

What does an internship applied scientist in machine learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.

What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What job categories do people searching Internship Applied Scientist Machine Learning jobs in New Rochelle, NY look for?

The top searched job categories for Internship Applied Scientist Machine Learning jobs in New Rochelle, NY are:

What cities near New Rochelle, NY are hiring for Internship Applied Scientist Machine Learning jobs?

Cities near New Rochelle, NY with the most Internship Applied Scientist Machine Learning job openings:

Internship Applied Scientist Machine Learning jobs near you
Infographic showing various Internship Applied Scientist Machine Learning job openings in New Rochelle, NY as of June 2026, with employment types broken down into 2% As Needed, 39% Full Time, 56% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $43,821 per year, or $21.1 per hour.

Applied Scientist , Sponsored Products and Brands General Shopping Intelligence

Amazon

New York, NY • On-site

Full-time

Posted 7 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Sponsored Products and Brands at Amazon Ads is reimagining 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 reinventing 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 deliver billions of ad impressions and millions of clicks daily, and are breaking fresh ground to improve both the shopper and advertiser experience

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.
The General Shopping Intelligence (GSI) team is a highly motivated, collaborative, and fun-loving group with a strong entrepreneurial spirit and bias for action. We provide advanced real-time machine learning services that connect shoppers with the right ads across all platforms and surfaces worldwide. Through deep understanding of both shoppers and products, we help shoppers discover new products they love, enable advertisers to reach their customers most efficiently, and help Amazon continuously innovate on behalf of all customers.
We are seeking a motivated Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, generative AI and high-scale machine learning systems

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.
Key job responsibilities
As an Applied Scientist, you will:
* Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
* Develop scalable and effective machine-learning models and Generative AI solutions to solve business problems
* Run regular A/B experiments, gather data, and perform statistical analysis
* Work closely with software engineers to deliver end-to-end solutions into production
* Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving
* Conduct research on new generative AI modeling to optimize all aspects of Sponsored Products and Brands business
About the team
We are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products and Brands business. We empower every customer with a customized discovery experiences from back-end optimization (such as customized response prediction models) to front-end CX innovation (such as widgets), to help shoppers feel understood and shop efficiently on and off Amazon.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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