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Meta Learning Jobs (NOW HIRING)

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7K - $12K/mo

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

Seattle, WA · On-site

$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

New York, NY

$121K/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

Partner Engineer, Generative AI

Menlo Park, CA

$149K/yr

Meta is seeking a Partner Engineer to join Meta's AI Partner Engineering team, a technical team that works with strategic partners, machine learning organizations across the industry and all major ...

Meta

Fundamental AI Researcher - FAIR

Menlo Park, CA · On-site

$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 ...

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Meta Learning information

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How much do meta learning jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for meta learning in the United States is $37.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $49.76 per hour, depending on experience, location, and employer.

What is meta learning?

Meta learning, often referred to as 'learning to learn,' is a subfield of machine learning where algorithms are designed to improve their learning process based on previous experiences. Instead of simply learning a specific task, meta learning models aim to generalize from past tasks to solve new, unseen tasks more efficiently. This approach is particularly useful in situations with limited data, as the model leverages knowledge gained from previous tasks to quickly adapt. Meta learning is widely applied in areas like few-shot learning, optimization, and reinforcement learning.

Is ML a high paying job?

Meta Learning is a specialized area within machine learning that often offers competitive salaries, especially for roles requiring advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but machine learning professionals generally earn above average wages compared to many other tech roles.

Which 3 jobs will survive AI?

Meta Learning as a field focuses on developing algorithms that improve with experience, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Roles such as data scientists, AI specialists, and human-centered designers are expected to remain in demand due to their reliance on advanced skills and adaptability. Continuous learning and expertise in AI tools can also enhance job security in these areas.

What are some common challenges faced by professionals working in meta learning, and how can they be addressed?

Professionals in meta learning often encounter challenges such as limited high-quality meta-data, ensuring model generalizability across tasks, and balancing computational efficiency with performance. Addressing these issues typically involves collaborating closely with data scientists and machine learning engineers to curate diverse datasets, experimenting with various meta-learning algorithms, and optimizing model architectures for scalability. Staying updated with the latest research and engaging in cross-functional discussions can help overcome these challenges and drive innovation within the team.

Is it hard to get hired by Meta?

Getting hired for a Meta role related to machine learning or AI, such as in meta learning, can be competitive due to high standards for technical skills, experience, and education. Candidates typically need strong programming abilities, knowledge of machine learning frameworks, and relevant project experience to succeed in the hiring process.

What job makes $10,000 a month without a degree?

Meta learning is a skill that can lead to high-paying roles such as freelance consulting, online coaching, or specialized content creation, which can earn $10,000 or more monthly. Success in these areas typically requires expertise, strong self-marketing, and building a client base or audience, rather than formal education credentials.

What is the difference between Meta Learning vs Data Scientist?

AspectMeta LearningData Scientist
Required CredentialsAdvanced degrees in AI, machine learning, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch labs, AI startups, tech companies focusing on machine learning modelsBusiness environments, analytics teams, tech companies analyzing data
Industry UsagePrimarily in AI research, machine learning model developmentAcross industries like finance, healthcare, marketing for data analysis

Meta Learning focuses on developing algorithms that learn how to learn, often used in AI research. Data Scientists analyze data to extract insights and build predictive models. While both roles involve machine learning, Meta Learning is more research-oriented, whereas Data Scientists apply data techniques to solve business problems.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of algorithms and statistics, and a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, cloud platforms, and data processing tools is essential, along with relevant certifications such as Google Professional ML Engineer. Strong problem-solving abilities, communication, and adaptability help you work effectively in teams and translate business needs into technical solutions. These skills are critical for developing, deploying, and maintaining robust machine learning models that address real-world problems.
More about Meta Learning jobs
What states have the most Meta Learning jobs? States with the most job openings for Meta Learning jobs include:
What job categories do people searching Meta Learning jobs look for? The top searched job categories for Meta Learning jobs are:
Meta Learning jobs near you
Research Scientist Intern, AI Alignment

Research Scientist Intern, AI Alignment

Meta

Seattle, WA

$7K - $12K/mo

Full-time, Internship

Posted 11 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

121st of 190 rated software companies

Job description

Meta is 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, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Alignment Responsibilities:
  • Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques
  • Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy
  • Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and 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, Machine Learning, Artificial Intelligence, or relevant technical field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  • 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 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 publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar
  • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
  • Experience building large-scale machine learning systems and training with large datasets
  • Experience communicating complex research in a clear, precise, and actionable manner
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience working and communicating cross functionally in a team environment

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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