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Internship Applied Scientist Machine Learning Jobs in New Rochelle, NY

Amazon

Applied Scientist

Newark, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning, Computer Science, Computer Engineering, Data Science, Applied Math, or a related quantitative field - 3+ years of experience in Deep Learning, Natural Language - Processing ...

Garner Health

Applied Scientist II

New York, NY · Hybrid

$158K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking an exceptional Applied Scientist II to join our Applied Science team. Garner is ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Amazon

Applied Scientist III - AMZ10165497

New York, NY · On-site

$183K - $248K/yr

Applied Scientist III Job Location: New York, New York Job Number: AMZ10165497 Position ... Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or ...

Amazon

Applied Scientist, Amazon Connect

New York, NY · On-site

Interested in Machine Learning (ML) and Artificial Intelligence (AI). Do you want to join the team ... We are looking for an Applied Scientist (Machine Learning) with a strong academic background and ...

Amazon

Applied Scientist, Amazon Connect

New York, NY · On-site

Interested in Machine Learning (ML) and Artificial Intelligence (AI). Do you want to join the team ... We are looking for an Applied Scientist (Machine Learning) with a strong academic background and ...

Amazon

Applied Scientist, Amazon Connect

New York, NY · On-site

Interested in Machine Learning (ML) and Artificial Intelligence (AI). Do you want to join the team ... We are looking for an Applied Scientist (Machine Learning) with a strong academic background and ...

Amazon

Applied Scientist, Ads Econ

New York, NY · On-site

Our team uses a combination of econometrics, machine learning, and data science to build disruptive ... As an Applied Scientist on this team, you will: Build full life-cycle machine learning solutions ...

Amazon

Applied Scientist, Ads Econ

New York, NY · On-site

Our team uses a combination of econometrics, machine learning, and data science to build disruptive ... As an Applied Scientist on this team, you will: Build full life-cycle machine learning solutions ...

Amazon

Applied Scientist, Ads Econ

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our team uses a combination of econometrics, machine learning, and data science to build disruptive ... As an Applied Scientist on this team, you will: • Build full life-cycle machine learning ...

THOMSON REUTERS

Senior Applied Scientist

New York, NY · Hybrid

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...

THOMSON REUTERS

Lead Applied Scientist

New York, NY · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As a Lead Applied Scientist, you will define research strategy and lead high-impact ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...

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Showing results 21-40

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 20, 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.

Senior Applied Scientist , Sponsored Products

Amazon

New York, NY • On-site

$100K - $136K/yr

Full-time

Re-posted 28 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,098 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Sponsored Products and Brands 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.
We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties

Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.
Key job responsibilities
Search Supply and Experiences, within Sponsored Products, is seeking a Senior Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model- and leveraging this knowledge to help turn the flywheel of the business.
As a Senior Applied Scientist on this team you will:
--Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.
--Lead technical efforts within this team and across other teams.
--Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
--Run A/B experiments, gather data, and perform statistical analysis.
--Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
--Work closely with software engineers to assist in productionizing your ML models.
--Research new machine learning approaches.
--Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.
A day in the life
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.
About the team
We are a customer-obsessed team of engineers, technologists, product leaders, and scientists

We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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