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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

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 Jun 24, 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.

How much does entry-level Meta pay?

Entry-level Meta machine learning roles typically offer salaries ranging from $100,000 to $130,000 annually, depending on location and experience. These positions often require knowledge of machine learning frameworks like PyTorch or TensorFlow and may include benefits such as stock options and health insurance.

What engineer makes $500,000 a year?

Highly experienced machine learning engineers, including those working at top tech companies or in specialized roles, can earn $500,000 or more annually. Such salaries often include base pay, bonuses, and stock options, and typically require advanced skills in deep learning, large-scale data processing, and extensive industry experience.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant industry experience, and they are among the highest-paying roles in the AI field.

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.

Which 3 jobs will survive AI?

Entry Level Meta Machine Learning roles are likely to persist because they involve designing, training, and refining AI models, which require specialized knowledge and human oversight. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand despite AI advancements.

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 June 2026, with employment types broken down into 3% Full Time, 94% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
Software Engineer, Systems ML

Software Engineer, Systems ML

Meta

Bellevue, WA

$183K/yr

Full-time

Posted yesterday

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Software Engineer, Systems ML Responsibilities:
  • Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences
  • Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
  • Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
  • Drive large efforts across multiple teams
  • Define use cases, and develop methodology & benchmarks to evaluate different approaches
  • Apply in depth knowledge of how the ML infra interacts with the other systems around it
  • Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design
  • Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Preferred Qualifications:
  • Master/PhD degree in Computer Science, Computer Engineering
  • Technical leadership experience
  • Experience with distributed systems or on-device algorithm development
  • Experience with recommendation and ranking models
  • 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.
$183,997/year to $257,000/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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