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Machine Learning Internships Jobs (NOW HIRING)

Instacart

OR

Prior industry or research internship in machine learning or AI * Interest and experience in translating research ideas into scalable production systems

Ametek

Machine Learning Engineer

Herndon, VA · On-site

... internships, or real-world projects involving applied machine learning. #LI-WA1 #LI-HYBRID ... Compensation Employee Type: Salaried Currency: USD Salary Minimum: 130,000 Salary Maximum: 155,000 ...

Intel

Machine Learning Engineer

Sacramento, CA

Machine Learning Engineer / Data Scientist At Intel, our journey is to transform AI into something ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

New

Scowtt Inc

Machine Learning Engineer I

Seattle, WA

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build ... Hands-on project or internship experience with real datasets * Exposure to cloud platforms (GCP or ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build ... Hands-on project or internship experience with real datasets * Exposure to cloud platforms (GCP or ...

Amazon

Machine Learning Compiler Engineer

Cupertino, CA · On-site

Amazon's Machine Learning accelerators are at the forefront of our innovation and one of several ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

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Machine Learning Internships information

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How much do machine learning internships jobs pay per year?

As of Jun 21, 2026, the average yearly pay for machine learning internships in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on during a machine learning internship?

As a machine learning intern, you can expect to work on a variety of projects such as developing predictive models, data preprocessing, feature engineering, or assisting with research experiments. Interns often help analyze large datasets, prototype algorithms, and contribute to the improvement of existing machine learning pipelines. You'll likely collaborate closely with data scientists and engineers, gaining exposure to real-world applications and industry-standard tools while building practical skills. These projects are designed to both challenge you and support your growth within the field.

What are machine learning internships?

Machine learning internships are temporary positions, typically offered to students or recent graduates, where individuals gain hands-on experience working with machine learning algorithms, data analysis, and model development. Interns often assist with tasks such as data preprocessing, building and testing models, and contributing to ongoing machine learning projects under the guidance of experienced professionals. These internships provide valuable exposure to real-world applications of machine learning and help interns develop practical skills that are essential for a career in artificial intelligence or data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of algorithms, statistics, and programming (often in Python or R), typically backed by coursework in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, as well as experience with data analysis tools and version control systems such as Git, is commonly expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex results. These skills are crucial for effectively contributing to projects, learning from mentors, and preparing for more advanced roles in the field.
Machine Learning Engineer, PhD Intern (Fall)

Machine Learning Engineer, PhD Intern (Fall)

Instacart

OR

Other

Posted 22 days ago

Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies

Job description

OVERVIEW

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

Machine learning is central to how we build intelligent shopping experiences at Instacart. We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. A few examples:

  • We build state-of-the-art models powering Search, Discovery, and Ads, combining generative AI and traditional machine learning to create best-in-class recommendations
  • We build rich product and knowledge graphs from catalog data imported from hundreds of retailers, applying them in recommendations and other user experiences
  • We redefine traditional domains across the company with AI, such as hyperpersonalized marketing and 0 1 meal planning products

We are looking for talented Ph.D. students to join our fast-moving ML teams and work on high-impact problems at the intersection of LLM research, large-scale ML systems, and real-world e-commerce applications.

ABOUT THE JOB

Based on your passion and background, you may choose to work in a few different areas:

  • Query understanding: Using cutting-edge AI and LLM-based techniques to understand user intent, refine queries, and support downstream retrieval and ranking.
  • Search relevance and ranking: Improving search relevance by incorporating signals from user behavior, catalog knowledge, and generative models, including hybrid retrieval and ranking systems.
  • Generative recommendations: Pushing the boundaries of where generative and traditional models intersect across retrieval and ranking systems; developing scalable feedback and reward modeling approaches for closed-loop learning (RFT).
  • LLM evaluation and AIQA systems: Building LLM-based evaluation frameworks (e.g., LLM-as-a-Judge, self-critique) to improve the quality and reliability of generative and agentic systems.
  • Low-latency and scalable LLM systems: Researching techniques to deploy LLMs in high-traffic, latency-sensitive production environments, balancing quality, cost, and latency through cascading, distillation, and selective generation.
  • Knowledge graphs: Working on graph data management and knowledge discovery over one of the world's largest grocery catalogs, and integrating structured knowledge with LLM-based reasoning and natural language interfaces.
  • Sequence modeling: Building temporal models for user behavior prediction.

ABOUT YOU

Minimum Qualifications:

  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, Golang) and algorithmic skills.
  • Solid foundations in machine learning, algorithms, or optimization
  • Curious, self-motivated, and comfortable working on open-ended problems

Preferred Qualifications: 

  • Ph.D. student at a top tier university in the United States 
  • Hands-on experience with generative or traditional modeling frameworks (PyTorch, Tensorflow, vLLM)
  • Prior industry or research internship in machine learning or AI
  • Interest and experience in translating research ideas into scalable production systems

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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