- 1.Machine Learning Researchers earn a median salary of $108,020 with 36% projected growth and 20,800 annual openings (BLS)
- 2.Education: Bachelor's in Data Science or Master's in Data Science typically required
- 3.No state licensing required; certifications like Google Data Analytics Certificate enhance competitiveness
- 4.Top states by salary: California ($145,827), New York ($124,223), Massachusetts ($120,982), Washington ($118,822)
- 5.Process takes 4 years including education plus certification preparation
What Is a Machine Learning Researcher?
A machine learning researcher is a professional who analyzes complex data to help organizations make better decisions using statistical methods and machine learning. With 192,270 jobs nationwide, this is a growing occupation with strong career prospects.
The path to becoming a machine learning researcher typically requires Dedicated data science programs combining statistics, CS, and domain knowledge.. To explore artificial intelligence programs, see our comprehensive rankings.
Machine Learning Researcher
SOC 15-2051What Does a Machine Learning Researcher Do? Key Responsibilities
Machine Learning Researchers perform a wide range of duties depending on their work setting and specialization. Core responsibilities include:
- Collect, process, and analyze large datasets
- Build predictive models using machine learning algorithms
- Create data visualizations and dashboards
- Communicate findings to stakeholders
- Develop and maintain data pipelines
- Collaborate with engineering and product teams
How to Become a Machine Learning Researcher: Step-by-Step Guide
Total Time: 4 yearsComplete Bachelor's in Data Science
Dedicated data science programs combining statistics, CS, and domain knowledge.
- Integrated curriculum
- Growing availability
- Industry-aligned
Build Technical Skills
Develop hands-on skills through projects, internships, or bootcamps.
- Complete personal projects
- Contribute to open source
- Build a portfolio
Earn Relevant Certifications
Earn certifications like Google Data Analytics Certificate to enhance your credentials.
- Google Data Analytics Certificate - $39/month
- AWS Machine Learning Specialty - $300
Gain Entry-Level Experience
Start your career in an entry-level machine learning researcher position to build practical experience.
- Apply for entry-level positions
- Seek mentorship from experienced professionals
- Build your professional network
- Document your accomplishments
Pursue Specialization & Advancement
Specialize in high-demand areas and pursue leadership opportunities.
- Identify specialization areas
- Pursue advanced certifications
- Consider graduate education
- Develop leadership skills
Machine Learning Researcher Education Requirements: Degrees & Programs
Bachelor's in Data Science
4 yearsDedicated data science programs combining statistics, CS, and domain knowledge.
Advantages
- Integrated curriculum
- Growing availability
- Industry-aligned
Considerations
- Newer programs
- May lack depth in specific areas
Master's in Data Science
1.5-2 yearsAdvanced degree for data science and machine learning roles.
Advantages
- Higher salary
- Advanced techniques
- Research opportunities
Considerations
- Higher cost
- Requires strong math background
Machine Learning Researcher Certifications: Required & Recommended
While not required, certifications can increase salary by $5,000-$15,000 annually and demonstrate expertise.
Recommended Specializations
Google Data Analytics Certificate
GoogleEntry-level certification covering data analysis fundamentals.
AWS Machine Learning Specialty
Amazon Web ServicesValidates ML implementation skills on AWS.
Machine Learning Researcher Skills: What You Need to Succeed
Successful machine learning researchers combine strong technical competencies with interpersonal skills.
Technical Skills
Primary languages for data analysis and machine learning.
Database querying and data manipulation.
Building and deploying ML models.
Statistical analysis and hypothesis testing.
Tools & Platforms
Creating insights with tools like Tableau, Power BI, or matplotlib.
Spark, Hadoop, and distributed computing.
Machine Learning Researcher Career Path: Entry to Senior
The machine learning researcher career path offers diverse opportunities for advancement. Most professionals start in entry-level roles before advancing to senior positions or specializing.
- Junior Data Analyst (Entry Level): Data analysis and reporting. Salary: $70,213-$86,416.
- Machine Learning Researcher (2-4 years): Building models and driving insights. Median salary: $108,020.
- Senior Machine Learning Researcher (5-7 years): Leading data initiatives. Salary: $129,624-$151,228.
- Lead/Principal (8+ years): Data strategy and team leadership. Salary: $162,030-$183,634.
- Chief Data Officer (10+ years): Executive data leadership. Salary: $194,436+.
Machine Learning Researcher Salary by State: What Machine Learning Researchers Earn
Top Employers Hiring Machine Learning Researchers by State
California
CAWashington
WATexas
TXNew York
NYMassachusetts
MAGeorgia
GAIllinois
ILPennsylvania
PAFlorida
FLOhio
OHMachine Learning Researcher Job Outlook: Growth & Opportunities
Machine Learning Researcher employment is projected to grow 36% from 2025 to 2035, much faster than average. About 20,800 job openings are expected each year.
Strong demand is driven by the explosion of data, AI adoption, and data-driven decision making across industries. Professionals with advanced certifications and specialized skills will have the strongest job prospects.
Best Artificial Intelligence Programs
Machine Learning Researcher FAQs: Requirements, Salary & Career
Data Sources
Job outlook, education requirements, and employment data for machine learning researchers
Wage and employment data by state and metro area
Related Artificial Intelligence Resources
Taylor Rupe
Co-founder & Editor (B.S. Computer Science, Oregon State • B.A. Psychology, University of Washington)
Taylor combines technical expertise in computer science with a deep understanding of human behavior and learning. His dual background drives Hakia's mission: leveraging technology to build authoritative educational resources that help people make better decisions about their academic and career paths.