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Entry Level Meta Machine Learning Jobs (NOW HIRING)

Meta

Fundamental AI Researcher - FAIR

Menlo Park, 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 ...

Meta

Fundamental AI Researcher - FAIR

New York, NY

$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

Research Engineer, Monetization AI

Sunnyvale, 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 ...

Handshake

Machine Learning Engineer I

San Francisco, CA · On-site

$151K - $189K/yr

Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and ... Machine Learning is at the heart of Handshake's mission to democratize access to opportunity. Every ...

Meta

Research Engineer, Monetization AI

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 Engineer, Monetization AI

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 ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site

$130K - $200K/yr

Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize ...

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 Engineer, Monetization AI

New York, NY

$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 ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... This is not an entry-level position, and it is not a principal or architect-level role.. Location ...

Meta

Software Engineer, Systems ML

Sunnyvale, 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 ...

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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 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.
Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

Meta

New York, NY

Internship

Posted 25 days ago

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 Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams 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 Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, computer vision, language modeling, pretraining and post-training, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and multimodal understanding, reasoning and generation.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.
Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Responsibilities:
  • Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities)
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Draft and polish research reports and/or publications
  • Present research outcomes to internal and/or external audiences
  • Contribute research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
  • Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent
  • Experience in Python, C++, or other related languages
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP)
  • Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR)
  • Experience advancing AI techniques in Computer Vision and/or Machine Learning
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to degree-program after the completion of the internship/co-op

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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