ZipRecruiter

Log In

1

Learning Scientist Jobs (NOW HIRING)

IBS Software

Senior Machine Learning Scientist

Austin, TX · On-site

$90K - $123K/yr

We are currently seeking an experienced, dynamic, organized, self-starter to join as a Senior Machine Learning Scientist for our Consulting and Digital Transformation (CDx) line of business. Key ...

Gather AI

Principal Machine Learning Scientist

About the Team This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product ...

Roblox

Senior Machine Learning Scientist

San Mateo, CA · On-site

WHY DATA SCIENCE AND ANALYTICS The Data Science & Analytics organization's mission is to increase ... learning. Aligned and partnering with product verticals, we use this extensive tool belt to ...

Gather AI

Principal Machine Learning Scientist

The Principal Machine Learning Scientist will advance computer vision systems for warehouse inventory scanning, overseeing the full ML lifecycle and collaborating with cross-functional teams to ...

Roblox

Senior Machine Learning Scientist

San Mateo, CA · On-site

$263K - $322K/yr

WHY DATA SCIENCE AND ANALYTICS The Data Science & Analytics organization's mission is to increase ... You Have: * 5+ years of industry experience in prototyping and building scalable machine learning ...

Webflow

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91K - $124K/yr

We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high ...

next page

Showing results 1-20

All JobsLearning Scientist Jobs

Learning Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do learning scientist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for learning scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Learning Scientist position, and why are they important?

To thrive as a Learning Scientist, you need a solid background in educational psychology, research methods, data analysis, and often a doctoral degree in a related field. Familiarity with learning management systems (LMS), statistical software (such as SPSS or R), and experience conducting experiments or large-scale educational studies is valuable. Strong communication, critical thinking, and collaborative skills help Learning Scientists effectively share insights and work across multidisciplinary teams. These skills are essential for designing evidence-based interventions, analyzing learning outcomes, and driving educational innovation.

What types of projects do Learning Scientists typically work on within an organization?

Learning Scientists often design and evaluate educational programs, develop new instructional methods, or study how people learn in various environments. Their projects may include collaborating with educators to create digital learning tools, running experiments to measure student engagement or comprehension, and analyzing large data sets to assess the effectiveness of teaching strategies. Many Learning Scientists work closely with curriculum developers, technologists, and policymakers to implement and scale evidence-based improvements. This role provides continuous opportunities to tackle complex, real-world learning challenges while making a measurable impact on educational outcomes.

What is a Learning Scientist job?

A Learning Scientist studies how people learn and applies research to improve education, training, and instructional design. They combine insights from cognitive science, psychology, education, and technology to develop effective learning environments. Their work may involve designing digital learning tools, analyzing learner behavior, and conducting research to enhance teaching methods. Learning Scientists often collaborate with educators, designers, and policymakers to optimize learning experiences in schools, workplaces, and online platforms.

More about Learning Scientist jobs
What cities are hiring for Learning Scientist jobs? Cities with the most Learning Scientist job openings:
Who are the top companies hiring for Learning Scientist jobs? The top employers for Learning Scientist jobs are:
What states have the most Learning Scientist jobs? States with the most job openings for Learning Scientist jobs include:
What job categories do people searching Learning Scientist jobs look for? The top searched job categories for Learning Scientist jobs are:
Learning Scientist jobs near you
Infographic showing various Learning Scientist job openings in the United States as of July 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Machine Learning Scientist

Senior Machine Learning Scientist

IBS Software

Austin, TX • On-site

$90K - $123K/yr

Other

Retirement, PTO

Posted 22 days ago

Job description

IBS Software is a fast-growing global software company with over 5,000 employees and a 28-year track record of innovation for the world’s leading travel brands. We provide a broad range of industry leading products and services that manage mission critical operations of airlines, airports, cruise lines, hospitality partners, tour operators and oil & gas companies. These products improve safety, revenue and workflow efficiency, while managing growth, and reducing operating costs. Certified as a Great Place to Work®, IBS Software has a culture built on the values of precision, commitment, passion, integrity and respect for the individual.


We are currently seeking an experienced, dynamic, organized, self-starter to join as a Senior Machine Learning Scientist for our Consulting and Digital Transformation (CDx) line of business.


Key Responsibilities


  • Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of:
  • Planning and goal decomposition
  • Tool selection and execution
  • Memory and state management
  • Multi-agent collaboration and coordination
  • Research and implement state-of-the-art agentic architectures, including:
  • ReAct and tool-calling agents
  • Reflection and self-improvement loops
  • Chain-of-thought and structured reasoning
  • Tool-augmented and hybrid agent frameworks
  • Develop and evolve agent orchestration approaches, defining how agents:
  • Decompose complex tasks
  • Delegate to sub-agents
  • Handle uncertainty, failure, and recovery
  • Integrate LLMs with external tools, APIs, databases, and code execution environments to enable real-world task completion.
  • Define and own scientific evaluation frameworks for agentic systems, measuring:
  • Task success and reliability
  • Generalization and robustness
  • Latency, cost, and efficiency
  • Safety and unintended behaviors
  • Collaborate closely with Product, Engineering, and Research partners to translate business and user needs into well-scoped scientific problems and agentic system designs.
  • Identify and mitigate agent-specific risks, including:
  • Prompt injection and adversarial inputs
  • Hallucination in long-horizon reasoning
  • Unsafe or unintended tool actions
  • Emergent multi-agent failure modes
  • Stay current with the rapidly evolving agentic AI research landscape, synthesizing academic literature and industry innovation to guide technical strategy.
  • Mentor junior ML scientists and engineers, providing guidance on:
  • Agentic design patterns
  • LLM experimentation best practices
  • Scientific rigor and evaluation methodology


Minimum Qualifications


  • 10+ years of related industry or research experience in machine learning or applied AI.
  • Demonstrated experience designing and evaluating agentic or multi-step AI systems, such as:
  • ReAct-style agents
  • Tool-using or planner-based agents
  • Multi-agent systems or pipelines
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Hands-on experience with LLM APIs and agent frameworks, including:
  • LangChain LlamaIndex
  • Similar orchestration or agent libraries
  • Experience integrating LLMs with external tools, APIs, and structured data sources for real-world tasks.
  • Solid understanding of prompting and reasoning techniques, including:
  • Chain-of-thought
  • Few-shot and zero-shot prompting
  • Structured output and constrained decoding
  • Experience designing and running evaluation frameworks for ML systems, including offline benchmarks and production monitoring.


Preferred Qualifications


  • PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field, or equivalent professional experience.
  • Experience in travel, e-commerce, marketplace, or advertising platforms.
  • Publications in top-tier ML conferences or journals.
  • Patented inventions, pending or issued.
  • Contributions to open-source ML / LLM / agentic AI projects.
  • Experience partnering with ML Engineering teams to transition research prototypes into production systems.



Work Authorization


Must be authorized to work in United States and hold a valid passport


At IBS you can look forward to:

  • Operating with the brightest minds in the hotel software industry
  • Receiving global exposure
  • Benefiting from continuous learning programs
  • Performance-based career growth
  • Competitive compensation that includes fixed compensation, and variable compensation based on achieving set sales goals, company paid employee benefits, vacation, sick and personal leave, company matched 401k


IBS is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law. IBS as an equal opportunity employer bases its hiring decisions on the business need and the best qualified candidates available, and does not discriminate in its employment decisions on the basis of any protected category. Candidates who are offered employment may be subject to a criminal record and other background checks as permitted or required by company policy or applicable law.

Apply