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62 Meta Machine Learning Intern Jobs Hiring Near You

Syntiant

Machine Learning Audio Intern

Redwood City, CA · On-site

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Audio Intern to take on a critical role to enhance our AI Model for Turkey ...

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What is it like to work at Meta?

Meta is a technology company that prioritizes innovation, collaboration, and diversity, fostering a culture that encourages experimentation and learning from failures. The company's structure is organized into various teams, including those focused on artificial intelligence, virtual reality, and social media, with a work environment that supports flexible work arrangements and employee well-being. Working at Meta may appeal to candidates who are passionate about shaping the future of technology and are interested in contributing to a company that aims to build technologies that help people connect, find communities and grow businesses.

Do workers at Meta get paid breaks?

Sometimes. Only some people get paid breaks.
40% of people say they don’t get paid breaks.
Based on data from 25 people who took the Breakroom Quiz between December 2024 and February 2026.

Does Meta pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
42% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 38 people who took the Breakroom Quiz between December 2024 and February 2026.

At Meta, are sick days and vacation days separate paid time off?

Only some people have separate paid time off for sick days and vacation.
36% of people say they have to use vacation days when they’re out sick.
Based on data from 14 people who took the Breakroom Quiz between May 2025 and March 2026.

Is the health insurance from Meta affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 13 people who took the Breakroom Quiz between March 2025 and February 2026.

Do people get paid time off at Meta?

Most people get paid time off work.
83% of people say they get paid time off.
Based on data from 18 people who took the Breakroom Quiz between May 2025 and March 2026.

How far ahead of time do people find out their work schedule?

Most people find out their schedule less than four weeks ahead of time.
  • 82% of people with changing schedules find out their shifts one week or less ahead of time.
  • 9% of people with changing schedules find out their shifts two weeks ahead of time.
  • 0% of people with changing schedules find out their shifts three weeks ahead of time.
  • 9% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 11 people who took the Breakroom Quiz between December 2024 and July 2025.

Do workers at Meta worry about hours?

Most people don’t worry about getting enough hours.
89% of people report they don’t worry about getting enough hours.
Based on data from 27 people who took the Breakroom Quiz between December 2024 and February 2026.

Do Meta workers get to choose the shifts they work?

Most people get to choose which shifts they work.
69% report that they have enough control over which shifts they work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2025.

How easy is it for Meta workers to change shifts?

Most people find it easy to change shifts.
67% of people report that it’s easy to change shifts if they need to.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and August 2025.

How easy is it to get time off at Meta?

Most people find it easy to get time off.
75% of people report it’s easy to get time off.
Based on data from 36 people who took the Breakroom Quiz between December 2024 and March 2026.

Do Meta managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
90% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 29 people who took the Breakroom Quiz between December 2024 and February 2026.

Do workers at Meta do extra work that they don't get paid for?

Rarely. Most people don’t do unpaid extra work.
33% of people report that they do extra work that they don’t get paid for.
Based on data from 24 people who took the Breakroom Quiz between December 2024 and February 2026.

How easy is it to take sick days at Meta?

Most people find it easy to take sick days.
84% of people report that it’s easy to take time off if they are sick.
Based on data from 37 people who took the Breakroom Quiz between December 2024 and February 2026.

Is working at Meta good if you’re a parent or caregiver?

Most parents and caregivers say this is a good place to work.
81% of people who care for a child or other relative report this is a good place to work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and January 2026.

Do people at Meta feel treated with respect by their managers?

Most people feel treated with respect by their managers.
76% of people say they’re treated with respect by their managers.
Based on data from 42 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people at Meta get to take their breaks without interruption?

Most people get breaks without interruption.
70% of people report that they get to take their breaks without interruption.
Based on data from 30 people who took the Breakroom Quiz between December 2024 and March 2026.

Is it stressful to work at Meta?

Most people feel stressed out here.
72% of people say they often feel stressed out at work.
Based on data from 36 people who took the Breakroom Quiz between December 2024 and February 2026.

Do people at Meta enjoy their jobs?

Most people enjoy their job.
78% of people report they enjoy their job.
Based on data from 37 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people at Meta recommend working with their team?

Only some people recommend working with their team.
38% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 42 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people get enough training when they start at Meta?

Some people didn’t get enough training when they started.
45% of people report they didn’t get enough training when they started working here.
Based on data from 40 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people get support to advance at Meta?

Only some people are given support to advance their career here.
In the last year, 38% of people report not being given support to advance their career here.
Based on data from 32 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people think Meta’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
68% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 37 people who took the Breakroom Quiz between December 2024 and February 2026.

Do workers feel well informed about how Meta is doing?

Only some people feel well informed about how the company is doing.
36% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 39 people who took the Breakroom Quiz between December 2024 and February 2026.
What other companies are hiring for Machine Learning Intern jobs?
What are the most popular jobs at Meta?
What are the most popular categories at Meta?
Infographic showing various Machine Learning Intern job openings at Meta in the United States as of May 2026, with employment types broken down into 3% Internship, 95% Full Time, and 2% Contract. Highlights an 86% Physical, and 14% Remote job distribution.
PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender Systems)

PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender Systems)

Pinterest

Manhattan, NY • On-site, Remote

Other

Posted 8 days ago

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.


What you'll do:

  • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
  • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
  • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
  • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
  • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
  • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  • Write clean, efficient, and sustainable code
  • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers


What we're looking for:

  • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.
  • Ability to legally work full time (40 hours/week) from September-December 2026
  • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
  • Proficiency with AI-native engineering, including the design of agent-friendly codebases.
  • High degree of autonomy in learning new agent-first development tools.
  • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
  • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
  • Experience in research and in solving analytical problems
  • Strong communicator and team player. Being able to find solutions for open-ended problems.

Preferred Qualifications:

    • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    • Strong passion for research and for answering hard questions with research
    • Passion for applied ML and the Pinterest product

Why Intern at Pinterest?

  • Meaningful Work: Contribute to projects that impact millions of users worldwide.
  • Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.


In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.


US based applicants only

The salary for this position is $12,100 monthly.

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Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

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