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Meta Learning Jobs (NOW HIRING)

2020 Companies

Meta Learning Systems Designer

Dallas, TX · On-site

$60K/yr

Dallas, TX 75207 Overview: 2020 Companies has a full-time remote Learning Systems Designer opportunity representing our client, Meta. Schedule: Monday - Friday Pay: $60,000 per year The Learning ...

2020 Companies

Meta Learning Systems Designer

Dallas, TX · On-site +1

$60K/yr

Dallas, TX 75207 Overview: 2020 Companies has a full-time remote Learning Systems Designer opportunity representing our client, Meta. Schedule: Monday - Friday Pay: $60,000 per year The Learning ...

2020 Companies

Meta Learning Systems Designer

Dallas, TX · On-site +1

$60K/yr

Monday - Friday Pay: $60,000 per year The Learning Systems Designer is responsible for designing, developing, and delivering engaging learning experiences that drive measurable performance outcomes.

2020 Companies

Meta Learning Systems Designer

Dallas, TX · On-site +1

$60K/yr

Monday - Friday Pay: $60,000 per year The Learning Systems Designer is responsible for designing, developing, and delivering engaging learning experiences that drive measurable performance outcomes.

Nace AI

Research Engineer

Palo Alto, CA · On-site

... meta-learning or parameter-efficient adaptation, as evidenced by grants, fellowships, patents, internships, or contributions to open-source projects. • First-authored publications on language ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing novel LLM adaptation methods, Online Continual Learning

1872 Consulting

Senior ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Specific subfields include deep learning, probabilistic and Bayesian methods, few-shot and meta-learning, model-based planning, and imitation learning. • Proficiency with the Python machine ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model generalization and efficiency. * Improve existing Nace.AI models by incorporating advancements from recent ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

... and implement meta-learning methods to enhance model generalization and efficiency. • Improve existing Nace.AI models by incorporating advancements from recent ML research. Qualifications

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

... and implement meta-learning methods to enhance model generalization and efficiency. • Improve existing Nace.AI models by incorporating advancements from recent ML research. Qualifications

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$210 - $260/hr

Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate modelling or conversion rate modelling * 3+ years of industry experience building production-grade ...

Namely

AI Research Scientist

San Francisco, CA · On-site

$150 - $210/hr

Investigate topics such as continual learning, online learning, test-time adaptation, memory architectures, meta-learning, self-improvement, and knowledge consolidation. About you * A PhD (or ...

P-1 AI

AI Research Scientist

San Francisco, CA · On-site

$200K - $385K/yr

Investigate topics such as continual learning, online learning, test-time adaptation, memory architectures, meta-learning, self-improvement, and knowledge consolidation. About you: * A PhD (or ...

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All JobsMeta Learning Jobs

Meta Learning information

See salary details

$9

$37

$86

How much do meta learning jobs pay per hour?

As of Aug 29, 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.

What are 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.

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.

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.

More about Meta Learning jobs

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
Infographic showing various Meta 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 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $77,665 per year, or $37.3 per hour.

Meta Learning Systems Designer

Dallas, TX • On-site

2020 Companies
Marketing • 5 - 10K employees

7.5

Company rating: 7.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

23rd of 52 rated marketing agency

Great coworkers

People enjoy working here

Good employer

Learn more about 2020 Companiesexternal

$60K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Job Type:
Regular
Work Location:
Dallas, TX 75207
Overview:
2020 Companies has a full-time remote Learning Systems Designer opportunity representing our client, Meta.
Schedule: Monday - Friday
Pay: $60,000 per year
The Learning Systems Designer is responsible for designing, developing, and delivering engaging learning experiences that drive measurable performance outcomes. This role blends instructional design, learning technology management, and facilitation, with a strong emphasis on creativity, interactivity, and data-driven improvement. The ideal candidate is equal parts educator, technologist, and storyteller.
Our Benefits
  • Receive a competitive salary starting at $60k, paid weekly
  • Mobile phone reimbursement
  • Work remotely, from home and travel as needed
  • Eligible for health, dental, and vision benefits
  • 401K Program with matching
  • Paid Time Off
  • Paid Holidays
  • Scholarship opportunities for employees and direct family members
  • Employee Assistance Program
  • Leadership Development Program
  • Employees special pricing for multiple clients

Job Description:
Learning Management System (LMS) Development & Management
  • Build, configure, and maintain LMS platforms, including course structure, user roles, learning paths, and reporting dashboards
  • Manage ongoing LMS administration, updates, integrations, and troubleshooting
  • Optimize the learner experience through thoughtful platform design and navigation

Design & Interactive Course Creation
  • Design and develop engaging, learner-centered courses using sound instructional design principles
  • Create interactive content such as simulations, scenario-based learning, assessments, microlearning modules, and multimedia assets
  • Translate complex concepts into clear, accessible, and compelling learning experiences
  • Apply creative design thinking to coursework to increase learner engagement and retention

Completion Metrics & Learning Analytics
  • Define, track, and manage course completion metrics and learner progress
  • Analyze learning data to assess effectiveness, engagement, and knowledge transfer
  • Provide insights and recommendations to improve course design and training outcomes
  • Ensure compliance with required training completion and documentation standards

Content Strategy & Continuous Improvement
  • Maintain and manage a learning content calendar
  • Refresh and iterate on existing coursework based on feedback, performance data, and evolving business needs
  • Stay current on learning technologies, instructional design trends, and adult learning best practices

Qualifications:
Required
  • Experience in instructional design, training, or learning and development
  • Hands-on experience building and managing LMS platforms
  • Proficiency in creating interactive and multimedia learning content
  • Strong understanding of adult learning theory and instructional design models
  • Ability to analyze learning data and translate insights into improvements

Preferred
  • Experience with eLearning authoring tools (e.g., Articulate, Captivate, Rise, or similar)
  • Graphic design, video, or multimedia production experience
  • Familiarity with SCORM, xAPI, or similar learning standards

Skills & Competencies
  • Creative and visual thinker with strong attention to detail
  • Highly organized with the ability to manage multiple projects simultaneously
  • Strong communication and collaboration skills
  • Comfortable balancing structure with creativity

What You Can Expect From 2020 Companies
We welcome every voice, and we are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We are always identifying opportunities to encourage our team to be their authentic selves, while working to provide a best-in-class experience for our employees. Whether that's paid holidays, long-term career pathing options, personal development opportunities or professional stretch assignments, you can expect 2020 Companies to support you.
2020's Commitment
We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.
2020 logo

About 2020

Sourced by ZipRecruiter

2020 Companies is an outsourced Sales & Marketing company representing Reliant. We hire Sales Representatives and other types of brand advocates to fortune 200 companies. Let us help you find a fun job in retail sales or events! 2020 Companies recruits, hires, trains, and cultivates Sales Representatives, Brand Ambassadors, Merchandisers, and casted-talent, to tailor a full-package solution to clients wanting to grow their market share, build brand awareness, expand distribution channels, and connect people with consumers.

Industry

Marketing

Company size

5,001 - 10,000 Employees

Headquarters location

Southlake, TX, US

Year founded

1991

Social media

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What 2020 Companies employees say

Pay

Benefits

Hours and flexibility

Workplace

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