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Meta Learning Jobs (NOW HIRING)

Meta

Product Manager, Machine Learning

Seattle, WA

$146K/yr

Product Manager, Machine Learning Responsibilities: * Plan, initiate, and manage information ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

JPMorganChase

Applied AI ML Director

Jersey City, NJ · On-site

Preferred : • Understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies using Advanced knowledge in Reinforcement Learning or Meta ...

E Ink

Deep Learning Researcher 1900S-2

Billerica, MA · Hybrid

$130K - $160K/yr

Experience designing custom architectures, meta-learning systems, or model-based optimization. * Knowledge of model efficiency techniques (pruning, quantization, distillation). * Familiarity with ...

Meta

Product Manager, Machine Learning

Seattle, WA · On-site

$146K - $204K/yr

Machine Learning based personalization, ranking or recommendations services, or ad-tech • ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Research Engineer, MRS AI

Menlo Park, CA

$121K/yr

Degree must be completed prior to joining Meta * Research experience in machine learning, deep learning, and/or recommender systems, natural language processing * Programming experience in Python and ...

E Ink

Deep Learning Researcher 1900S-2

Billerica, MA · On-site

$130K - $160K/yr

Experience designing custom architectures, meta-learning systems, or model-based optimization. * Knowledge of model efficiency techniques (pruning, quantization, distillation). * Familiarity with ...

Meta

Research Engineer, MRS AI

Bellevue, WA

$121K/yr

Degree must be completed prior to joining Meta * Research experience in machine learning, deep learning, and/or recommender systems, natural language processing * Programming experience in Python and ...

Meta

Research Engineer, MRS AI

New York, NY

$121K/yr

Degree must be completed prior to joining Meta * Research experience in machine learning, deep learning, and/or recommender systems, natural language processing * Programming experience in Python and ...

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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

Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learnin...

JPMorganChase

Palo Alto, CA • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
JPMorgan Chase is a leading global financial institution that invests heavily in AI and technology to enhance its operations. The role of Machine Learning Scientist – Natural Language Processing (NLP) - Vice President involves developing and deploying machine learning solutions, particularly in Generative AI, while collaborating with various business lines to drive innovation and transformational change.
Responsibilities:
• Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
• Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
• Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
• Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Qualifications:
Required:
• PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with at least 3 years of experience OR an MS with at least 5 years of industry or research experience in the field
• Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Preferred:
• Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
• Knowledge in search/ranking or Meta Learning
• Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
• Published research in areas of Machine Learning or Deep Learning at a major conference or journal
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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