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Ml Research Jobs (NOW HIRING)

The Pennsylvania State University

This fall/spring internship willconcentrate on gaining hands-on experience in AI/ML data preparation and contributing to meaningful research ARL is an authorized DoD SkillBridge partner and welcomes ...

SambaNova

ML Features Solutions Engineer

Austin, TX · On-site

$81K - $109K/yr

The ML Features Solutions Engineer will focus on developing and optimizing core ML features for enterprise deployment, bridging the gap between ML research and product engineering. Responsibilities ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

As a ML/Research Scientist, you will play a crucial role in developing next-generation wearable neurotechnologies. You will design, implement, and lead innovative research to develop novel digital ...

NextSense

Senior ML/Research Scientist

Mountain View, CA

$116K - $148K/yr

As a ML/Research Scientist, you will play a crucial role in developing next-generation wearable neurotechnologies. You will design, implement, and lead innovative research to develop novel digital ...

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$26K

$108.7K

$185.5K

How much do ml research jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ml research in the United States is $108,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is an ML researcher?

ML Researchers, or Machine Learning Researchers, are professionals who study and develop new algorithms and models in the field of machine learning. They work on advancing the theoretical foundations of machine learning and applying these concepts to solve real-world problems. Their work often involves designing experiments, analyzing data, publishing academic papers, and collaborating with other scientists and engineers. ML Researchers play a crucial role in pushing the boundaries of what artificial intelligence and machine learning can achieve.

What does a machine learning researcher do?

A machine learning researcher develops algorithms and models that enable computers to learn from data and improve their performance over time. They often work with large datasets, use programming languages like Python or R, and may publish findings in academic journals or conferences. Their work supports advancements in artificial intelligence applications across various industries.

How to become a machine learning researcher?

To become a machine learning researcher, typically a candidate needs a strong background in computer science, mathematics, or related fields, often demonstrated by a master's or Ph.D. degree. Developing expertise in programming languages like Python, understanding algorithms, and gaining experience with machine learning frameworks such as TensorFlow or PyTorch are essential. Engaging in research projects, publishing papers, and staying current with advancements in the field are also important steps.

What are some common challenges faced by professionals in ML research roles and how can they be addressed?

ML Research professionals often encounter challenges such as working with limited or noisy datasets, ensuring reproducibility of experiments, and keeping up with rapid advancements in the field. Collaboration with cross-functional teams, such as data engineers and domain experts, is essential to address data quality issues and validate results. Staying updated through research papers, conferences, and continuous learning helps tackle the evolving technical landscape. Building strong documentation and version control practices also ensures reproducibility and effective teamwork.

What are the key skills and qualifications needed to thrive as an ML researcher, and why are they important?

To thrive as an ML Researcher, you need strong foundations in mathematics, statistics, programming (often Python), and a graduate degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems, and experience with scientific publishing or conference presentations are typically required. Creativity, critical thinking, and effective communication are essential soft skills for generating novel ideas and collaborating within interdisciplinary teams. These skills and qualities are crucial for developing innovative solutions, advancing the field, and successfully translating research into impactful applications.

What is the difference between Ml Research vs Data Scientist?

AspectML ResearchData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, universitiesTech firms, finance, healthcare, e-commerce
Common Search & ComparisonFocuses on developing new algorithms and modelsFocuses on applying data analysis to solve business problems

ML Research and Data Scientist roles share overlapping skills but differ mainly in focus. ML Researchers primarily develop new algorithms and conduct theoretical work, often in research settings. Data Scientists apply existing models to analyze data and generate insights for business decisions. Both roles require strong technical skills, but ML Research emphasizes innovation and experimentation, while Data Science emphasizes practical application and communication of findings.

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Ml Research jobs near you
Infographic showing various Ml Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $108,688 per year, or $52.3 per hour.

AI/ML Research Support Intern

The Pennsylvania State University

On-site, Remote

Part-time

Posted 17 days ago

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

We are searching for a motivated undergraduate student to jointhe Visualization and Decision Support Divisionat the Applied Research Laboratory (ARL) at Penn State. This fall/springinternship willconcentrate on gaining hands-on experience in AI/ML data preparation and contributing to meaningful research

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

Typical focus areas include:

  • Label and annotate diverse datasets with a primary focus on geospatial data such as tracks, images, video, text, and sensor data
  • Support AI/ML model development for Navy, Department of Defense (DoD), and Intelligence Community (IC) applications
  • Utilize industry-standard and custom labeling tools while collaborating with AI/ML researchers and engineers to understand requirements and contribute to data quality assurance processes

Students majoring in the following fields are encouraged to apply:

  • Undergraduate students in a STEM major (Computer Science, Engineering, Mathematics, Data Science, Information Sciences, or related fields)

Interest Skills/Experience areas include:

  • Drive to learn and grow in the AI/ML field
  • Commitment to data quality
  • Strong attention to detail

Preferred but not required:

  • Interest in artificial intelligence, machine learning, or data science
  • Familiarity with geospatial concepts or mapping technologies
  • Previous experience with data analysis or annotation at any level

You will work up to 20 hours/week during the fall and spring semesters and have the opportunity to work up to 40 hours/week over the summer. This is a paid internship opportunity, and location will befully on-site located in State College, PA

Relocation and housing are not provided. Questions related to flexible work should be directed to the hiring manager during the interview process.

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.

FOR FURTHER INFORMATION on ARL, visit our website atwww.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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