1

Applied Machine Learning Intern Jobs (NOW HIRING)

About the role: We're hiring a Senior Applied Machine Learning Engineer to join the small team that makes AI work tractable, safe, and fast across the company. In this role, you'll ship LLM-powered ...

Senior Machine Learning Engineer

$107K - $146K/yr

At Reddit, machine learning sits at the heart of how millions of people discover, connect, and ... Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You'll ...

Showing results 41-60

Applied Machine Learning Intern information

See salary details

$25.5K

$42.6K

$88K

How much do applied machine learning intern jobs pay per year?

As of Aug 6, 2026, the average yearly pay for applied machine learning intern 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 is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

More about Applied Machine Learning Intern jobs
What cities are hiring for Applied Machine Learning Intern jobs? Cities with the most Applied Machine Learning Intern job openings:
What states have the most Applied Machine Learning Intern jobs? States with the most job openings for Applied Machine Learning Intern jobs include:
Infographic showing various Applied Machine Learning Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Applied Machine Learning Research Engineer - Multimodal for Human Understanding

Apple

Sunnyvale, CA

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 20 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

We’re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Applied Machine Learning Research Engineer to join our team in the Video Computer Vision group and help us push the boundaries of human understanding. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life.
Description
In this role, you will drive ground breaking development at the intersection of AI, generative modeling, and computer vision. You will work across the full lifecycle-from foundational investigation to practical applications-designing, implementing, and evaluating novel algorithms and models.
Your primary focus will be human understanding, including human motion, activities, and representation learning. A major aspect of the role involves designing, implementing, evaluating and productizing ML systems capable of human and activity understanding.
This position offers a unique opportunity to innovate, build, and ship: you will take your conceptual ideas to products that reach millions of users worldwide. You will collaborate with a diverse group of experts-research scientists, ML engineers, software engineers, data scientists, human-interface designers, and domain specialists-working in an environment that values experimentation, ownership, and continuous learning.
By staying at the forefront of advancements in AI, machine learning, and computer vision, you will play a direct role in driving innovation, influencing the evolution of Apple products, and meaningfully enhancing user experience on a global scale.
Preferred Qualifications
Hands-on experience training and deploying production-grade ML models.
Experience developing multimodal LLMs or generative models.
Production-level experience with a compiled language (e.g., Swift, C++).
Expertise in one or more areas: computer vision, machine learning, multimodal LLMs, Reinforcement Learning, Agentic AI.
PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, machine learning, or multimodal systems.
Demonstrated problem-solving ability, strong sense of ownership and product shipment.
Minimum Qualifications
Strong experience developing machine learning models.
Proficiency in Python and solid software engineering fundamentals.
Experience with at least one deep learning framework (e.g., PyTorch, JAX, or equivalent).
Master’s degree in Computer Science or a related field, plus 3 years of relevant industry experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976