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Ai Developer Intern Jobs in Tennessee (NOW HIRING)

From AI-supported solutions and predictive technologies to geophysics and traditional exploration ... Engineer-in-Training (EIT) or Engineering Intern (EI) designation * Follow safety rules, guidelines ...

Engineer-in-Training (EIT) or Engineering Intern (EI) designation About Us Terracon is a 100 ... From AI-supported solutions and predictive technologies to geophysics and traditional exploration ...

Engineer-in-Training (EIT) or Engineering Intern (EI) designation About Us Terracon is a 100 ... From AI-supported solutions and predictive technologies to geophysics and traditional exploration ...

From AI-supported solutions and predictive technologies to geophysics and traditional exploration ... Engineer-in-Training (EIT) or Engineering Intern (EI) designation * Follow safety rules, guidelines ...

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

Showing results 41-60

Ai Developer Intern information

What is an AI Developer Intern?

AI Developer Interns are students or recent graduates who assist in developing artificial intelligence solutions under the supervision of experienced engineers or data scientists. Their responsibilities often include data preprocessing, building and testing machine learning models, writing code, and participating in research or development projects. This internship provides hands-on experience with AI technologies and tools, helping interns gain practical skills for a career in artificial intelligence. Interns typically work with programming languages like Python, and frameworks such as TensorFlow or PyTorch.

What types of projects and responsibilities can an AI Developer Intern typically expect during their internship?

As an AI Developer Intern, you can expect to work on a range of projects such as building prototypes, supporting data pre-processing, and assisting with the development and testing of machine learning models. Interns often collaborate closely with data scientists, engineers, and product teams to integrate AI solutions into real-world applications. You may also be responsible for researching new algorithms, participating in code reviews, and presenting your findings to the team. This hands-on experience provides valuable exposure to the full AI development lifecycle and enhances your technical and teamwork skills.

What are the key skills and qualifications needed to thrive as an AI Developer Intern, and why are they important?

To thrive as an AI Developer Intern, you need a foundational knowledge of programming (especially Python), mathematics, and machine learning concepts, often supported by relevant coursework or project experience. Familiarity with tools like TensorFlow, PyTorch, Jupyter notebooks, and version control systems such as Git is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in dynamic team environments. These skills are crucial for successfully contributing to AI projects and growing technical expertise in a fast-evolving field.

What is the difference between Ai Developer Intern vs Data Scientist Intern?

AspectAi Developer InternData Scientist Intern
Required CredentialsBasic programming skills, coursework in AI/ML, possibly some certificationsStatistics, programming, data analysis coursework, internships
Work EnvironmentTech companies, startups, research labs focusing on AI projectsData analysis teams, research groups, analytics departments
Employer & Industry UsageAI-focused companies, tech giants, startups developing AI productsFinance, healthcare, marketing, and tech firms analyzing data
Search & Comparison IntentUnderstanding roles in AI development, entry-level AI positionsExploring data analysis roles, entry-level data science positions

While both roles are entry-level and involve working with data and algorithms, an Ai Developer Intern primarily focuses on developing AI models and algorithms, whereas a Data Scientist Intern emphasizes analyzing data to extract insights. The choice depends on your interest in building AI systems versus analyzing data to inform decisions.

What are the most commonly searched types of Ai Developer jobs in Tennessee? The most popular types of Ai Developer jobs in Tennessee are:
What cities in Tennessee are hiring for Ai Developer Intern jobs? Cities in Tennessee with the most Ai Developer Intern job openings:

Machine Learning Engineer (PhD Intern)

Instacart

Nashville, TN

Full-time

Re-posted 15 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