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Learning Researcher Jobs (NOW HIRING)

E Ink

Deep Learning Researcher 1900S-2

Billerica, MA · On-site

$130K - $160K/yr

This position is also eligible for our bonus program . (see E Ink / Our Company) The Deep Learning Center at E Ink is seeking a Deep Learning Researcher to develop and improve product development and ...

E Ink

Deep Learning Researcher 1900S-2

Billerica, MA · Hybrid

$130K - $160K/yr

This position is also eligible for our bonus program . (see E Ink Our Company) The Deep Learning Center at E Ink is seeking a Deep Learning Researcher to develop and improve product development and ...

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Learning Researcher information

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$30K

$113.1K

$164.5K

How much do learning researcher jobs pay per year?

As of May 31, 2026, the average yearly pay for learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Learning Researcher, you need expertise in educational theory, data analysis, and research methodologies, often supported by an advanced degree in education, psychology, or a related field. Familiarity with statistical analysis tools like SPSS or R, as well as learning management systems (LMS), is typically required. Strong critical thinking, communication, and collaboration skills help Learning Researchers effectively interpret findings and work with educators or stakeholders. These skills ensure rigorous, impactful research that advances understanding and practical application in educational settings.

How do Learning Researchers typically collaborate with educators and other stakeholders to implement research findings?

Learning Researchers often work closely with educators, instructional designers, and administrators to translate research findings into practical strategies for improving teaching and learning outcomes. This collaboration may involve conducting workshops, presenting data-driven recommendations, and co-developing instructional materials or assessment tools. Effective communication and adaptability are essential, as researchers must tailor their insights to meet the specific needs and contexts of the educational environment. Regular feedback sessions and iterative testing are common practices to ensure that implemented changes are effective and sustainable.

What are Learning Researchers?

Learning Researchers are professionals who study how people learn in order to improve educational methods and outcomes. They investigate the cognitive, social, and technological factors that impact learning, often conducting experiments, collecting data, and analyzing results. Their work informs the development of curricula, teaching strategies, and educational technology. Learning Researchers may work in universities, research institutes, or private organizations, and their findings help shape educational policy and practice.

What jobs make $3,000 a month without a degree?

A Learning Researcher typically requires specialized knowledge and often a degree, but similar roles in data entry, sales, or customer service can pay around $3,000 monthly without a degree. Skilled trades like electrician or HVAC technician may also reach this income level with training and certification. Many of these jobs emphasize experience, skills, and certifications over formal education.

What is the difference between Learning Researcher vs Learning Specialist?

AspectLearning ResearcherLearning Specialist
Required CredentialsMaster's or PhD in Education, Psychology, or related fieldBachelor's or Master's in Education or related field
Work EnvironmentResearch settings, academic institutions, or corporate R&DClassrooms, training programs, or corporate learning departments
Employer & Industry UsageUniversities, research organizations, edtech companiesSchools, corporate training firms, educational nonprofits
Common Search & ComparisonLearning Researcher vs Learning Specialist

The main difference is that Learning Researchers focus on studying and developing new educational methods through research, often working in academic or research settings. Learning Specialists, on the other hand, implement and support learning strategies directly in educational or corporate environments. Both roles require a background in education or psychology, but their day-to-day tasks and focus areas differ significantly.

More about Learning Researcher jobs
What cities are hiring for Learning Researcher jobs? Cities with the most Learning Researcher job openings:
What job categories do people searching Learning Researcher jobs look for? The top searched job categories for Learning Researcher jobs are:
Learning Researcher jobs near you
Infographic showing various Learning Researcher job openings in the United States as of May 2026, with employment types broken down into 50% As Needed, and 50% Temporary. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Machine Learning Researcher - PhD: 2026

Machine Learning Researcher - PhD: 2026

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Posted just now

Job description

Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.
This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
What you'll do
  • Research and develop deep learning models to generate and enhance systematic trading signals and strategies across asset classes.
  • Collaborate closely with researchers, traders, and developers to improve alpha generation and identify new algorithmic trading strategies.
  • Design and conduct rigorous experiments using modern machine learning frameworks to improve predictive signals and overall trading performance.
  • Apply scientific methods to extract actionable signals from complex datasets, deepening the understanding of market behavior.
  • Translate research insights into production-ready models that can be implemented, tested, and validated in live trading environments.
  • Partner with engineering and trading teams to deploy, monitor, and iterate on models that drive trading decisions and execution outcomes.

What we're looking for
  • PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
  • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong programming skills in Python and/or C++
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

What we offer
  • Collaborate with a world-class team of researchers, engineers, and traders
  • Gain access to best-in-class financial data and high-performance computing resources
  • Directly impact real-time trading performance through your work
  • Thrive in a collaborative, intellectually rigorous environment with a global footprint

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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