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Entry Level Meta Machine Learning Jobs (NOW HIRING)

Meta

Software Engineer, Systems ML

Bellevue, WA

$183K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Software Engineer, Systems ML

Menlo Park, CA

$183K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Research Scientist, Multi-Modal

Pittsburgh, PA · On-site

$122K - $181K/yr

Degree must be completed prior to joining Meta • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Machine Learning, or relevant technical field. Degree must be ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$154K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

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How much do entry level meta machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for entry level meta machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level machine learning engineers at Meta, and how can new hires overcome them?

Entry-level machine learning engineers at Meta often encounter challenges such as adapting to the fast-paced, large-scale environment and working with complex datasets. Collaborating across multidisciplinary teams can also be daunting at first, as projects often require input from product managers, data scientists, and software engineers. New hires can overcome these challenges by actively seeking mentorship, participating in code reviews, and leveraging Meta's internal training resources. Building strong communication skills and asking questions early on also help accelerate onboarding and integration into project teams.

What are the key skills and qualifications needed to thrive as an Entry Level Meta Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Meta Machine Learning Engineer, you need a strong understanding of machine learning fundamentals, proficiency in Python, and a bachelor’s degree in computer science, mathematics, or a related field. Familiarity with tools like PyTorch, TensorFlow, and version control systems such as Git is typically required. Analytical thinking, effective communication, and a willingness to learn rapidly are standout soft skills for this role. These skills enable engineers to build robust models, collaborate with cross-functional teams, and adapt to Meta’s fast-paced, innovative environment.

What is an Entry Level Meta Machine Learning job?

An Entry Level Meta Machine Learning job typically involves working on machine learning projects at Meta (formerly Facebook) as a recent graduate or someone new to the field. In this role, you may assist with data preprocessing, building basic models, conducting experiments, and supporting senior engineers and researchers. It’s a great opportunity to learn from experienced professionals, work on real-world problems, and grow your technical skills in machine learning and artificial intelligence. Candidates are usually expected to have foundational knowledge in programming, mathematics, and ML concepts.
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Entry Level Meta Machine Learning jobs near you
Infographic showing various Entry Level Meta Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
Research Scientist Intern PhD, Applied Research

Research Scientist Intern PhD, Applied Research

Meta

Menlo Park, CA

Internship

Re-posted 28 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join our Products and Applied Research team. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern PhD, Applied Research Responsibilities:
  • Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques
  • Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project
  • Perform research to advance the science and technology of intelligent machines
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Disseminate research results
  • Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Research experience in machine learning, deep learning, computer vision and/or natural language processing
  • Experience with Python, C++, C, Java or other related languages
  • Experience with deep learning frameworks such as Pytorch or Tensorflow

Preferred Qualifications:
  • Intent to return to the degree program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience working and communicating cross functionally in a team environment
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
  • Experience solving analytical problems using quantitative approaches
  • Experience setting up ML experiments and analyzing their results
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience with explainable AI methods and topics around LLM safety alignment
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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