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Entry Level Meta Machine Learning Jobs (NOW HIRING)

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Machine Learning Engineer At Krea, we are building next-generation AI creative tools. We are ... Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments. The intern ...

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments. The intern ...

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Entry Level Meta Machine Learning information

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

As of Jun 3, 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 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 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 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.
More about Entry Level Meta Machine Learning jobs
What are the most commonly searched types of Meta Machine Learning jobs? The most popular types of Meta Machine Learning jobs are:
Infographic showing various Entry Level Meta Machine Learning job openings in the United States as of May 2026, with employment types broken down into 17% Locum Tenens, 32% Full Time, 17% Temporary, 17% Contract, and 17% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
Software Engineer, Machine Learning

Software Engineer, Machine Learning

Meta

Fremont, CA

$154K/yr

Full-time

Posted 19 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 185 rated software companies


Job description

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  • Implement custom user interfaces using latest programming techniques and technologies
  • Develop reusable software components for interfacing with back-end platforms
  • Analyze and optimize code for quality, efficiency, and performance
  • Lead complex technical or product efforts and provide technical guidance to peers
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues
  • Work on a variety of coding languages and technologies
  • Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • 6+ years of programming experience in a relevant language or 3+ years of experience + PhD
  • Experience building maintainable and testable code bases, including API design and unit testing techniques

Preferred Qualifications:
  • Experience building and shipping high quality work and achieving high reliability
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  • Experience with developing machine learning models at scale from inception to business impact
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
  • Knowledge developing and debugging in C/C++ and Java
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$154,003/year to $217,000/year + bonus + equity + 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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