Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field. * 1-2 years of relevant industry, internship, or research ...
Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field. * 1-2 years of relevant industry, internship, or research ...
Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field. * 1-2 years of relevant industry, internship, or research ...
New
Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field. * 1-2 years of relevant industry, internship, or research ...
New
... internship, or research experience in machine learning, robotics, computer vision, or related ... technical areas. • Hands-on experience with ROS and/or ROS2, including building or integrating ...
New
... internship, or research experience in machine learning, robotics, computer vision, or related ... technical areas. • Hands-on experience with ROS and/or ROS2, including building or integrating ...
New
Lead and conduct advanced research in machine learning and artificial intelligence to develop novel algorithms and methodologies tailored to healthcare applications. * Design and implement ...
Lead and conduct advanced research in machine learning and artificial intelligence to develop novel algorithms and methodologies tailored to healthcare applications. * Design and implement ...
Seasonal Research Assistants
Salina, KS · On-site
$14 - $18/hr
Research Assistant - Temporary Who We Are + What We Do The Land Institute co-leads the global ... Intellectual curiosity and commitment to lifelong learning * Good communication skills, both ...
Seasonal Research Assistants
Salina, KS · On-site
$14 - $18/hr
Research Assistant - Temporary Who We Are + What We Do The Land Institute co-leads the global ... Intellectual curiosity and commitment to lifelong learning * Good communication skills, both ...
Senior Machine Learning Engineer
Wichita, KS · On-site
$93K - $128K/yr
They will leverage a variety of machine learning approaches to process very large streams of ... This is a demanding product development role, not a research position. Success on year one involves ...
Senior Machine Learning Engineer
Wichita, KS · On-site
$93K - $128K/yr
They will leverage a variety of machine learning approaches to process very large streams of ... This is a demanding product development role, not a research position. Success on year one involves ...
$78K - $107K/yr
Machine Learning Scientist What you will do Let'sdo this.Let'schange the world ... Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team ...
$78K - $107K/yr
Machine Learning Scientist What you will do Let'sdo this.Let'schange the world ... Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team ...
Senior Machine Learning Engineer
$93K - $128K/yr
... research and/or production technologies * Expertiseon building production training and inference ... Experience building machine learning models for unstructured data types (text, imagery, RF ...
Senior Machine Learning Engineer
$93K - $128K/yr
... research and/or production technologies * Expertiseon building production training and inference ... Experience building machine learning models for unstructured data types (text, imagery, RF ...
Machine Learning Engineer
Kansas City, KS · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Kansas City, KS · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Topeka, KS · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Topeka, KS · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Wichita, KS · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Wichita, KS · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Pittsburg, KS · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Pittsburg, KS · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Internship Research Assistant Machine Learning information
What are the big 4 internships?
The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals, including those interested in roles like Internship Research Assistant in machine learning if related to data analysis or consulting projects. Securing these internships often requires strong academic performance, relevant skills, and competitive application processes.
Which 5 jobs will survive AI?
For an Internship Research Assistant in Machine Learning, roles that involve complex problem-solving, creativity, and human judgment—such as research scientist, data scientist, AI ethicist, machine learning engineer, and technical project manager—are more likely to persist despite AI advancements. These positions require specialized skills, critical thinking, and collaboration that are difficult for AI to fully replicate. Continuous learning and expertise in tools like Python, TensorFlow, or PyTorch enhance job security in this field.
How to get an AI ML internship?
To secure an AI ML internship, candidates should develop strong programming skills in languages like Python, gain experience with machine learning frameworks such as TensorFlow or PyTorch, and build a portfolio of relevant projects. Applying through company career portals, leveraging university connections, and demonstrating knowledge of data analysis and algorithms can improve chances. Internships often require a background in computer science, mathematics, or related fields, and may involve technical assessments or interviews.
What is the difference between Internship Research Assistant Machine Learning vs Research Assistant Data Science?
| Aspect | Internship Research Assistant Machine Learning | Research Assistant Data Science |
|---|---|---|
| Required Credentials | Undergraduate or graduate in CS, AI, or related fields | Undergraduate or graduate in CS, Statistics, or related fields |
| Work Environment | Academic labs, research institutions, tech companies | Academic institutions, research centers, industry |
| Employer & Industry Usage | Universities, research firms, tech companies focusing on AI/ML | Universities, research organizations, data-driven industries |
| Common Search & Comparison | Yes | Yes |
The Internship Research Assistant Machine Learning and Research Assistant Data Science roles share similarities in educational background and work environments. However, the Machine Learning position emphasizes AI and ML-specific skills, while Data Science focuses more on statistical analysis and data management. Both roles are common in academic and industry settings, often compared by students and professionals exploring research opportunities in data-driven fields.
How much do ML interns get paid?
Machine Learning internship research assistants typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Paid internships often include opportunities to work with tools like Python and TensorFlow and may be full-time or part-time during the summer or academic year.
What are popular job titles related to Internship Research Assistant Machine Learning jobs in Kansas? For Internship Research Assistant Machine Learning jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Internship Research Assistant Machine Learning jobs in Kansas look for? The top searched job categories for Internship Research Assistant Machine Learning jobs in Kansas are:
What cities in Kansas are hiring for Internship Research Assistant Machine Learning jobs? Cities in Kansas with the most Internship Research Assistant Machine Learning job openings:
Job description
Role Purpose
Jumio is looking for a Research Engineer with a foundation in machine learning, robotics, and data infrastructure to help build and scale the systems used for data collection, model development, and product improvement.
This role sits at the intersection of robotics, computer vision, and applied machine learning. You will work hands-on with robotic systems, ROS/ROS2-based modules, mobile data collection workflows, and ML pipelines that support training, evaluation, and production model performance. This is a strong opportunity for a new graduate or early-career engineer who wants to build practical systems that directly improve real-world AI products.
Role Value
High-quality data and reliable model evaluation infrastructure are critical to improving Jumio's machine learning and computer vision capabilities. This role helps ensure that data collected from robotic systems and mobile applications is usable, scalable, and connected to the broader model development lifecycle.
The Research Engineer will support both the robotics/data collection environment and the ML development workflow, helping the team move faster, improve model quality, and better understand model performance in production.
Example Responsibilities
Jumio Values:
IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities:
Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio:
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we're expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
Applicant Data Privacy
We will only use your personal information in connection with Jumio's application, recruitment, and hiring processes, as described in Jumio's Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.
Jumio is looking for a Research Engineer with a foundation in machine learning, robotics, and data infrastructure to help build and scale the systems used for data collection, model development, and product improvement.
This role sits at the intersection of robotics, computer vision, and applied machine learning. You will work hands-on with robotic systems, ROS/ROS2-based modules, mobile data collection workflows, and ML pipelines that support training, evaluation, and production model performance. This is a strong opportunity for a new graduate or early-career engineer who wants to build practical systems that directly improve real-world AI products.
Role Value
High-quality data and reliable model evaluation infrastructure are critical to improving Jumio's machine learning and computer vision capabilities. This role helps ensure that data collected from robotic systems and mobile applications is usable, scalable, and connected to the broader model development lifecycle.
The Research Engineer will support both the robotics/data collection environment and the ML development workflow, helping the team move faster, improve model quality, and better understand model performance in production.
Example Responsibilities
- Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows.
- Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
- Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications.
- Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development.
- Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments.
- Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support.
- Write clean, modular, well-documented C++ and Python code that can be maintained and extended by other engineers.
- Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance.
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
- 1-2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas.
- Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection.
- Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar.
- Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation.
- Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code.
- Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
- Experience with robotic manipulators, mobile robot platforms, or lab-based robotic systems.
- Familiarity with iOS and/or Android development, especially for hardware-integrated data collection applications.
- Experience with data collection pipelines for computer vision, biometric systems, identity verification, or similar applied AI domains.
- Exposure to production ML observability, model monitoring, drift detection, or data quality monitoring tools.
- Familiarity with cloud platforms such as AWS, including S3, EC2, SageMaker, or similar tools for storage, compute, and model deployment.
- Experience working in cross-functional environments with machine learning engineers, software engineers, researchers, and product teams.
Jumio Values:
IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities:
Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio:
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we're expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
Applicant Data Privacy
We will only use your personal information in connection with Jumio's application, recruitment, and hiring processes, as described in Jumio's Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.
About Jumio
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Palo Alto, CA, US
Year founded
2010