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Learning Jobs in Raleigh, NC (NOW HIRING)

Learning Planning Lead

Raleigh, NC · On-site

$45 - $53.96/hr

Learning Planning Lead Location: Raleigh, NC (hybrid) Contract Duration: 6 Months Pay Range: $45.00 - $53.96 USD hourly on W2 In IT Customer Success and Enablement (CSE), we drive internal customer ...

Learning Planning Lead Location: Raleigh, NC Duration: 6 Months Job Type: Temporary Assignment Work Type: Hybrid * In IT Customer Success and Enablement (CSE), we drive internal customer success and ...

New

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Learning Planning Lead

Raleigh, NC · On-site

$43 - $53/hr

We are seeking a Learning Planning Lead to plan, develop and engage CSE team members and other Client stakeholders to deploy engaging learning solutions for key internal IT initiatives such as AI at ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

Learning Systems Engineer

Raleigh, NC · Hybrid

$96K - $120K/yr

As our Learning Systems Engineer, you are the bridge between education and innovation, tasked with optimizing our platforms to ensure our global users can navigate their Data Intelligence journey ...

As a Machine Learning Engineer, you will help build and operate production systems that power fraud detection and risk-related products. You'll work closely with data scientists and engineers to ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as ...

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA Candidate should be local or ...

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Learning information

See Raleigh, NC salary details

$10.7K

$81.5K

$136.1K

How much do learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for learning in Raleigh, NC is $81,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $135,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Learning and Development Specialist, you need expertise in instructional design, adult learning theory, and training delivery, often supported by a degree in education, HR, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and certifications like CPLP or ATD are commonly required. Strong communication, facilitation, and organizational skills help you connect with learners and manage multiple training projects effectively. These skills ensure engaging, effective training solutions that support employee growth and organizational goals.

What are Learning Specialists?

Learning Specialists are professionals who support students or employees in developing effective learning strategies and overcoming educational challenges. They often work in schools, colleges, or corporate settings, helping individuals with skills such as organization, time management, study techniques, and sometimes addressing learning disabilities. Their goal is to enhance learning outcomes and foster academic or professional growth by tailoring their approach to each individual's needs.

What is the difference between Learning vs Training?

AspectLearningTraining
FocusGaining knowledge and understandingDeveloping specific skills for tasks
MethodSelf-study, courses, workshopsHands-on practice, instruction sessions
DurationOngoing, flexibleStructured, time-limited
OutcomeKnowledge, awarenessSkill proficiency, performance

Learning involves acquiring broad knowledge and understanding, often through self-directed or formal education. Training focuses on teaching specific skills needed for particular tasks or jobs. While learning is ongoing and flexible, training is usually structured and time-bound. Both are essential in professional development but serve different purposes in the growth of employees and individuals.

What are some common challenges faced by professionals in learning and development roles, and how can they be overcome?

Professionals in learning and development often encounter challenges such as engaging diverse learners, keeping up with rapidly changing technologies, and demonstrating the impact of training initiatives. To address these, it's important to tailor content to different learning styles, leverage new digital tools, and use data-driven approaches to measure effectiveness. Collaborating closely with subject matter experts and stakeholders also helps ensure training is practical and aligned with organizational goals.

How to make $10,000 a month without a degree?

In the learning field, earning $10,000 a month without a degree typically involves developing specialized skills such as digital marketing, programming, or graphic design, and gaining experience through freelancing or building a portfolio. Success often depends on continuous skill development, networking, and leveraging online platforms to find high-paying clients or opportunities.
What are the most commonly searched types of Learning jobs in Raleigh, NC? The most popular types of Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Learning jobs? Cities near Raleigh, NC with the most Learning job openings:
Infographic showing various Learning job openings in Raleigh, NC as of June 2026, with employment types broken down into 66% Full Time, 27% Part Time, and 7% Temporary. Highlights an 100% In-person job distribution, with an average salary of $81,544 per year, or $39.2 per hour.
Machine Learning Engineer (PhD Intern)

Machine Learning Engineer (PhD Intern)

Instacart

Raleigh, NC

Other

Posted 18 days ago


Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


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