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64 Meta Machine Learning Intern Jobs Hiring Near You

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Meta Jobs Information

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.

What makes Meta an attractive place to work?

Meta is a leading technology company that has revolutionized the way people connect, find communities and grow businesses. The company offers a dynamic and collaborative work environment that fosters innovation, creativity, and experimentation, with a focus on building and maintaining a diverse and inclusive workplace culture. By joining Meta, individuals can contribute to shaping the future of technology and have opportunities to develop their skills, work on complex problems, and make a meaningful impact on people's lives.

Do workers at Meta get paid breaks?

Sometimes. Only some people get paid breaks.
38% of people say they don’t get paid breaks.
Based on data from 26 people who took the Breakroom Quiz between December 2024 and July 2026.

Does Meta pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
41% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 39 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.
38% of people say they have to use vacation days when they’re out sick.
Based on data from 16 people who took the Breakroom Quiz between May 2025 and July 2026.

Are part-time workers able to get health insurance from Meta?

Only some people who work part-time can get health insurance.
60% of people who work fewer than 30 hours a week say they can’t get health insurance
Based on data from 5 people who took the Breakroom Quiz between December 2024 and February 2025.

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 15 people who took the Breakroom Quiz between March 2025 and July 2026.

Do people get paid time off at Meta?

Most people get paid time off work.
85% of people say they get paid time off.
Based on data from 20 people who took the Breakroom Quiz between May 2025 and July 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.
  • 75% of people with changing schedules find out their shifts one week or less ahead of time.
  • 17% 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.
  • 8% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 12 people who took the Breakroom Quiz between December 2024 and July 2026.

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 28 people who took the Breakroom Quiz between December 2024 and July 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.
69% of people report that it’s easy to change shifts if they need to.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and July 2026.

How easy is it to get time off at Meta?

Most people find it easy to get time off.
76% of people report it’s easy to get time off.
Based on data from 38 people who took the Breakroom Quiz between December 2024 and July 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 30 people who took the Breakroom Quiz between December 2024 and July 2026.

Do jobs at Meta spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
32% of people report that their job takes up time that they don’t get paid for.
Based on data from 25 people who took the Breakroom Quiz between December 2024 and July 2026.

How easy is it to take sick days at Meta?

Most people find it easy to take sick days.
85% of people report that it’s easy to take time off if they are sick.
Based on data from 39 people who took the Breakroom Quiz between December 2024 and July 2026.

Is a Meta job good for students?

Most students say this is a good place to work if you’re studying.
83% of students report this is a good place to work if you’re studying.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and July 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.
82% of people who care for a child or other relative report this is a good place to work.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and July 2026.

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

Most people feel treated with respect by their managers.
77% of people say they’re treated with respect by their managers.
Based on data from 44 people who took the Breakroom Quiz between December 2024 and July 2026.

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

Most people get breaks without interruption.
72% of people report that they get to take their breaks without interruption.
Based on data from 32 people who took the Breakroom Quiz between December 2024 and July 2026.

Is it stressful to work at Meta?

Most people feel stressed here.
71% of people say they often feel stressed at work.
Based on data from 38 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people at Meta enjoy their jobs?

Most people enjoy their job.
79% of people report they enjoy their job.
Based on data from 39 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people at Meta recommend working with their team?

Only some people recommend working with their team.
36% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 44 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people get enough training when they start at Meta?

Some people didn’t get enough training when they started.
44% of people report they didn’t get enough training when they started working here.
Based on data from 41 people who took the Breakroom Quiz between December 2024 and July 2026.

Do people get support to advance at Meta?

Only some people are given support to advance their career here.
In the last year, 36% of people report not being given support to advance their career here.
Based on data from 33 people who took the Breakroom Quiz between December 2024 and July 2026.

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

Some people think headquarters doesn’t understand what’s happening where they work.
64% 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 39 people who took the Breakroom Quiz between December 2024 and July 2026.

Do workers feel well informed about how Meta is doing?

Only some people feel well informed about how the company is doing.
34% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 41 people who took the Breakroom Quiz between December 2024 and July 2026.
Infographic showing various Machine Learning Intern job openings at Meta in the United States as of August 2026, with employment types broken down into 1% Internship, and 99% Full Time. Highlights an 81% Physical, and 19% Remote job distribution.

Machine Learning Internship - PhD: 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Internship

Re-posted 27 days ago


Job description

Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?
  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.