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Intern Developer - Adobe 2027
Chicago, IL · On-site
$19.75 - $26/hr
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Intern Developer - Adobe 2027
Chicago, IL · On-site
$19.75 - $26/hr
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... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...
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Campus AI Research Engineer - Deep Learning (Intern)
Chicago, IL · On-site
$300K/yr
Campus Ai Research Engineer - Deep Learning (Intern) Jump Trading Group is committed to world class ... architectures (e.g. transformers, SSMs) * Solid development skills in Python and/or C+
Campus AI Research Engineer - Deep Learning (Intern)
Chicago, IL · On-site
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Intern Application Developer - Microsoft 2027
Chicago, IL · On-site
$19.75 - $26/hr
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Intern Application Developer - Microsoft 2027
Chicago, IL · On-site
$19.75 - $26/hr
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Chicago, IL · On-site
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Westmont, IL · On-site
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Westmont, IL · On-site
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Intern Application Developer 2027 - DPE
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Summer Intern - Engineering
Saint Elmo, IL · On-site
$20 - $28/hr
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Saint Elmo, IL · On-site
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Chicago, IL · On-site
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As a Project Engineer Intern, you will assist the project team in the completion of designated projects while focusing on learning construction industry processes, procedures, and Ryan business ...
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As a Project Engineer Intern, you will assist the project team in the completion of designated projects while focusing on learning construction industry processes, procedures, and Ryan business ...
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E Learning Developer Intern information
What does an E Learning Developer Intern do?
What is the difference between E Learning Developer Intern vs E Learning Specialist?
| Aspect | E Learning Developer Intern | E Learning Specialist |
|---|---|---|
| Credentials | Typically pursuing or recent graduate in education, instructional design, or related field | Bachelor's or master's in instructional design, education technology, or related field |
| Work Environment | Internship setting, often in educational institutions or corporate training departments | Full-time role in corporate, educational, or e-learning companies |
| Responsibilities | Assisting in creating e-learning content, learning management system (LMS) support, basic design tasks | Designing, developing, and implementing e-learning courses, managing LMS, evaluating learner feedback |
While both roles involve e-learning content, the E Learning Developer Intern is an entry-level position focused on supporting and learning, whereas the E Learning Specialist is a full-time professional responsible for designing and managing comprehensive e-learning programs.
What are the key skills and qualifications needed to thrive as an E Learning Developer Intern?
What types of projects can an E Learning Developer Intern expect to work on during their internship?
What are the most commonly searched types of E Learning Developer jobs in Illinois?
The most popular types of E Learning Developer jobs in Illinois are:
What are popular job titles related to E Learning Developer Intern jobs in Illinois?
For E Learning Developer Intern jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching E Learning Developer Intern jobs in Illinois look for?
The top searched job categories for E Learning Developer Intern jobs in Illinois are:
What cities in Illinois are hiring for E Learning Developer Intern jobs?
Cities in Illinois with the most E Learning Developer Intern job openings:

Instacart rating
7.1
Based on 31 frontline employees who took The Breakroom Quiz
28th 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
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