1

Generative Ai Intern Jobs in Iowa (NOW HIRING)

Showing results 41-49

Generative Ai Intern information

What does a generative AI intern do?

A Generative AI Intern typically assists in developing and testing machine learning models that can create new content, such as text, images, or audio, based on existing data. They may work with popular frameworks like TensorFlow or PyTorch, help preprocess large datasets, and collaborate with researchers and engineers to experiment with new generative algorithms. Responsibilities often include writing code, evaluating model outputs, and contributing to technical reports or presentations. This role is a great way for students or recent graduates to gain hands-on experience in one of the fastest-growing fields in artificial intelligence.

What are the key skills and qualifications needed to thrive as a generative AI intern, and why are they important?

To thrive as a Generative AI Intern, you need a solid background in computer science, mathematics, and machine learning concepts, often supported by coursework or projects in artificial intelligence. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with version control systems like Git are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and contribute innovative ideas. These qualifications are vital for successfully supporting research and development tasks in the fast-evolving field of generative AI.

What is the difference between Generative Ai Intern vs Machine Learning Intern?

AspectGenerative Ai InternMachine Learning Intern
Required CredentialsBasic programming, AI fundamentals, coursework in AI/MLSimilar: programming, data analysis, coursework in ML/AI
Work EnvironmentTech companies, startups, research labs focusing on AI modelsTech firms, research institutions working on ML projects
Employer & Industry UsageAI-focused companies developing generative models like GPT, DALL·EBroadly used across industries for predictive modeling, data analysis

Generative Ai Interns focus on developing and refining AI models that generate content, such as text or images, often requiring knowledge of neural networks and deep learning. Machine Learning Interns have a broader scope, working on various algorithms for predictive analytics and data processing. While both roles share foundational skills, Generative Ai Interns specialize in generative models, making their work more specific within the AI field.

What types of projects and tasks can a generative AI intern expect to work on during their internship?

As a Generative AI Intern, you will typically collaborate with data scientists and engineers to develop, test, and refine machine learning models, especially those related to text, image, or audio generation. Common tasks include data preprocessing, building and evaluating neural network architectures, and conducting literature reviews to stay updated on the latest advancements in generative models. Interns often participate in team meetings, contribute to research papers or internal documentation, and may help deploy AI solutions for real-world applications. This hands-on experience is invaluable for building foundational skills and understanding the collaborative, fast-paced environment of AI research and development.
What are the most commonly searched types of Generative Ai jobs in Iowa? The most popular types of Generative Ai jobs in Iowa are:
What are popular job titles related to Generative Ai Intern jobs in Iowa? For Generative Ai Intern jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Generative Ai Intern jobs? Cities in Iowa with the most Generative Ai Intern job openings:

Machine Learning Engineer (PhD Intern)

Instacart

Iowa City, IA

Full-time

Re-posted 18 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

27th of 64 rated delivery companies


Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

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.

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

About the Team:

This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:

Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.

Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).

Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!

Past internship contributions include:

Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)

About the Job

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

  • Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
  • Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
  • Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
  • Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
  • Fraud detection and prevention - Using cost sensitive learning to reduce loss.
  • Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
  • Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.

About You

Minimum Qualifications:

  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, C++) and algorithmic skills.
  • Good communication skills. Curious, willing to learn, self-motivated, hands-on.

Preferred Qualifications:

  • Ph.D. student at a top tier university in the United States
  • Prior internship/work experience in the machine learning space

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role.


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

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