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Entry Level Meta Machine Learning Jobs (NOW HIRING)

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Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ...

Sandbar

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... This role involves developing software and machine learning algorithms for use in human computer ...

Meta

Software Engineer, Machine Learning

Mountain View, CA · On-site +1

$183K/yr

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

Software Engineer, Machine Learning

Sunnyvale, CA · On-site +1

$183K/yr

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

Software Engineer, Machine Learning

Burlingame, CA · On-site +1

$183K/yr

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 ...

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

As of Aug 25, 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 is an entry level Meta machine learning?

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.

What are the key skills and qualifications needed to thrive as an entry level Meta machine learning engineer?

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.

Does Meta have entry-level positions?

Meta offers entry-level positions in areas such as machine learning, data analysis, and software engineering. These roles typically require foundational skills in programming, data structures, and machine learning frameworks, and are suitable for recent graduates or those with limited professional experience.

What are entry-level meta machine learning jobs?

Entry-level meta machine learning jobs involve developing and applying machine learning models that analyze and improve other models or algorithms, often focusing on model optimization, automation, and transfer learning. These roles typically require knowledge of programming languages like Python, familiarity with machine learning frameworks, and understanding of concepts such as model evaluation and hyperparameter tuning.
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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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Software Engineer, Machine Learning

Meta

Menlo Park, CA

Full-time

Re-posted 10 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is seeking a distinguished Software Engineer with deep machine learning expertise to drive transformative advances across Meta's AI-powered product...

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

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