computer vision intern

Mitsubishi Electric Research Laboratories

<div>MERL is seeking a highly motivated and qualified intern to contribute to the next generation of adaptive industrial robotics applications. The internship will focus on developing and validation of robust robotic disassembly solutions offering the opportunity to participate in cutting-edge research at the intersection of robotics, artificial intelligence, and sustainable manufacturing. There are several research topics of interest, including visual perception for disassembly guidance and planning, vision-language models for acting under uncertainty, and robot learning for manipulation. Applicants must be Ph.D. students with strong backgrounds in robot learning and computer vision. The selected intern will collaborate closely with MERL researchers to design and implement novel algorithms, conduct experiments, and disseminate research findings through a top-tier conference. The start date and duration are flexible, and interested applicants are encouraged to apply with an updated CV and a list of relevant publications.
Required Specific Experience
<ul><li>Demonstrated experience in computer vision, robot learning, or vision-language models for robotic applications.</li>
</ul>
The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. &quot;MERL&quot; provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL&rsquo;s employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered &ldquo;at-will,&rdquo; and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.</div>

Internship - Robot Learning and Perception for Disassembly

<div>MERL is seeking a highly motivated and qualified intern to contribute to the next generation of adaptive human-robot interaction (HRI) technologies. This internship will focus on the development and validation of intelligent and collaborative robotic systems that seamlessly integrate with human partners, providing an opportunity to engage in cutting-edge research at the intersection of robotics, artificial intelligence, and human-centered automation. There are several research topics of interest, including robot learning from demonstrations, assistive teleoperation, shared autonomy, object handovers, and intent recognition. Applicants should be current Ph.D. students with strong expertise in robot learning and computer vision. The selected intern will collaborate closely with MERL researchers to design and implement novel algorithms, conduct experiments, and disseminate research findings through a top-tier conference. Start dates and internship durations are flexible. Interested candidates are encouraged to apply with an updated CV and a list of relevant publications.
Required Specific Experience
<ul><li>Demonstrated experience in robot learning and computer vision for robotic applications, including diffusion policies, flow-matching methods, or Vision-Language-Action (VLA) models.</li>
</ul>
The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. &quot;MERL&quot; provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL&rsquo;s employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered &ldquo;at-will,&rdquo; and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.</div>

Internship - Human-Robot Collaboration with Shared Autonomy

Wing

<div><div>About Wing:

Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing's fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us.</div>
About the Program:

Join Wing's 12-week paid summer internship! This is a hybrid, in-person program based in Palo Alto, CA, with start dates in May or June. Eligible candidates must be a current student enrolled in a degree program and intend to return to the program after the completion of the summer internship.

About the Role:

Wing is looking for a Perception Software Engineering Intern to join our Perception Team based in Palo Alto, CA.

The Perception team designs and implements the computer vision and machine learning algorithms that allow our autonomous aircraft to understand the world around them and navigate obstacles safely. Our team members work closely with other engineers specializing in aerodynamics and propulsion, machine learning, and embedded software to build a robust and reliable perception system for drone delivery.

The Perception team designs, implements, and supports the full stack of perception technology for our autonomous aircraft. This includes core computer vision and machine learning algorithms (like object detection, ML-based depth estimation, and stereo calibration) and the critical infrastructure that enables their development, validation, and performance. Our team works closely with engineers in embedded software, GNC (guidance, navigation, and control), motion planning, and simulation.

What You'll Need:
<ul>
<li>Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field, graduating between December 2026 and August 2027</li>
<li>Strong examples of hands-on engineering and/or experience from prior work experience, university programs, internships, or student organizations</li>
<li>Proficiency in C++ and/or Python</li>
<li>Solid understanding of fundamental concepts in computer science (e.g., data structures, algorithms)</li>
<li>Coursework or project experience in at least one of the following: computer vision, machine learning, or robotics</li>
<li>Experience with deep learning frameworks (e.g., TensorFlow, PyTorch), familiarity with computer vision libraries (e.g., OpenCV), and/or hands-on experience with robotics projects (e.g., ROS) or working with real-time embedded devices</li>
</ul>
This is your chance to:
<ul>
<li>Design, implement, and validate perception algorithms for production drone delivery operations.</li>
<li>Analyze and benchmark the performance of perception algorithms, identifying bottlenecks, and proposing areas for improvement.</li>
<li>Work with large-scale datasets from our fleet to train, validate, and improve perception models.Collaborate with full-time engineers to integrate your contributions into our production systems.Present your project progress, findings, and results to the wider organization.</li>
</ul><div>
Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.</div></div>

Perception Software Engineering Intern, Summer 2026

Airbus

<div>Job Description:
Job Title: Machine Learning Engineer Intern
<h3 class="jobSectionHeader">About Us :
 
At Airbus, we are dedicated to push the boundaries of innovation by leveraging cutting-edge technologies and data to deliver state-of-the-art solutions . We are looking for passionate and talented Machine Learning Engineer Interns to join our dynamic team. This internship will provide you with hands-on experience in developing, training, and deploying machine learning models in real-world scenarios.
 
 
Responsibilities :
</h3><ul><li>Assist in building and improving machine learning models for various applications.
</li><li>Work with datasets, cleaning, preprocessing, and transforming data to train models.
</li><li>Implement SOTA deep learning algorithms to solve various Computer vision problems.
</li><li>Collaborate with senior engineers and data scientists to optimize model performance and deploy the model as an endpoint or batch job.
</li><li>Conduct experiments and analyze the performance of models using open source datasets and benchmark on Airbus specific data.
</li><li>Create data visualizations and reports to communicate insights and results effectively.
</li><li>Contribute to the development of machine learning pipelines with MLOps capabilities (experiment tracking, model/data versioning etc).
</li></ul><h3 class="jobSectionHeader">Qualification :
</h3><ul><li><h3 class="jobSectionHeader">Currently pursuing a degree in Computer Science, Data Science, Mathematics, Engineering, or related fields.
</h3></li></ul><h3 class="jobSectionHeader"> 
Required Skills:
</h3><ul><li>Understanding of machine learning algorithms and techniques (e.g., supervised, unsupervised learning, deep learning).
</li><li>Proficiency in Python programming language.
</li><li>Familiarity with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, scikit-learn, etc.
</li><li>Knowledge on Computer Vision concepts
</li><li>Experienced with Miniforge, VSCode, Git, etc on Windows and Linux.
</li><li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is preferable.
</li><li>Knowledge of version control tools like Git.
</li><li>Familiarity with SQL and working with databases.
</li><li>Exposure to basics of devops (e.g., using Docker, Kubernetes) is a plus.
</li><li>Strong communication skills and collaboration with team members.
</li></ul><h3 class="jobSectionHeader">What We Offer:
</h3><ul><li>Real-world experience working on machine learning projects.
</li><li>Mentorship and learning opportunities from experienced engineers and data scientists.
</li><li>Access to cutting-edge tools and technologies in machine learning.
</li><li>Collaborative and supportive work environment.
</li><li>Opportunity to grow your career in the tech industry.
</li></ul>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus India Private Limited
Employment Type:
Internship
-
Experience Level:
Student
Job Family:
Digital &lt;JF-IM-DI&gt;
<div><div><div><div>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
</div></div></div></div>At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

Machine Learning Intern

<div>The Computational Sensing team at MERL is seeking a highly motivated intern to conduct fundamental research on multi-modal sensing and understanding &mdash;algorithms that can understand, explain, and act on multi-sensor data (e.g., RF, infrared, LiDAR, event camera). Ideal candidates will be comfortable bridging state-of-the-art perception (detection/segmentation/tracking) with higher-level semantic understanding and reasoning capabilities. Experience with text, visual, and multimodal reasoning is a plus. The intern will work closely with MERL researchers to develop novel algorithms, design experiments using MERL&rsquo;s in-house testbeds, and prepare results for patents and publication. The internship is expected to last 3 months, with a flexible start date.
Required Specific Experience
<ul><li>Expertise in physical sensing across RF (radar, UWB, Wi-Fi), infrared, LiDAR, and event-camera modalities. Experienced with radar systems and concepts including FMCW and MIMO configurations, Doppler signature interpretation, radar point cloud and heatmap representations, and raw ADC waveforms;</li>
<li>Solid understanding of state-of-the-art transformer-based (e.g., DETR) and diffusion-based (e.g., DiffusionDet) frameworks;</li>
<li>Demonstrated work in text-, visual-, and multimodal semantic understanding and reasoning.</li>
<li>Hands-on experience with open large-scale multi-sensor datasets (e.g., nuScenes, Waymo Open Dataset, Argoverse) and open radar datasets (e.g., MMVR, HIBER, RT-Pose, K-Radar).
</li><li>Proficiency in Python and deep learning frameworks (PyTorch/JAX), plus experience with GPU cluster job scheduling and scalable data pipelines.</li>
<li>Proven publication record in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML (or equivalent).</li>
</ul>
The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. &quot;MERL&quot; provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL&rsquo;s employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered &ldquo;at-will,&rdquo; and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.</div>

Internship - Multi-Modal Sensing and Understanding

BARIFLO CYBERNETICS PRIVATE LIMITED

Job Title: AI Developer Intern PositionLocation: Bhubaneswar, OdishaDuration: Three Months/Full time on performanceKey Responsibilities:<ul><li>Assist in designing, developing, and testing AI/ML models for various business applications.</li><li>Work on data preprocessing, feature engineering, and dataset management.</li><li>Implement algorithms and frameworks in Python (TensorFlow, PyTorch, Scikit-learn, etc.).</li><li>Collaborate with senior developers and data scientists to optimize models for performance and scalability.</li><li>Participate in research and proof-of-concept projects on Natural Language Processing (NLP), Computer Vision, or Predictive Analytics.</li><li>Document code, experiments, and results for knowledge sharing.</li></ul>Required Skills &amp; Qualifications:<ul><li>Currently pursuing a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Strong foundation in Python programming and familiarity with libraries like NumPy, Pandas, and Matplotlib.</li><li>Basic knowledge of Machine Learning algorithms (Regression, Classification, Clustering, etc.).</li><li>Familiarity with Deep Learning frameworks (TensorFlow / PyTorch) is a plus.</li><li>Understanding of databases (SQL/NoSQL) and APIs.</li><li>Strong problem-solving skills, curiosity, and eagerness to learn.</li></ul>Preferred Qualifications:<ul><li>Exposure to NLP, Computer Vision, or Reinforcement Learning projects.</li><li>Experience with Git/GitHub for version control.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) for AI/ML deployment.</li></ul>Interested Candidate share their resume on human@bariflolabs.com and call to this number 9777681033.Job Types: Full-time, Internship Contract length: 3 monthsPay: &#8377;5,000.00 - &#8377;7,000.00 per monthWork Location: In person

AI DEVELOPER INTERN

Scriptguru Digital Solutions

About the RoleWe are seeking a motivated AI/ML Intern to join our team and contribute to real-world projects in Artificial Intelligence and Machine Learning. This role provides an opportunity to work on data-driven solutions, develop machine learning models, and gain hands-on industry experience.Responsibilities<ul><li>Assist in data preprocessing, cleaning, and transformation for ML model training.</li><li>Build and train machine learning models using Python and ML frameworks.</li><li>Conduct experiments to evaluate and improve model performance.</li><li>Support in developing AI-powered applications such as recommendation engines, NLP tools, or computer vision models.</li><li>Research new AI/ML algorithms, frameworks, and best practices.</li><li>Collaborate with the engineering team for integration and deployment.</li></ul>Qualifications<ul><li>Pursuing or recently completed Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>Proficiency in Python and libraries such as NumPy, Pandas, and Matplotlib.</li><li>Knowledge of ML/DL frameworks like Scikit-learn, TensorFlow, or PyTorch.</li><li>Strong foundation in statistics, algorithms, and data structures.</li><li>Excellent problem-solving and analytical skills.</li></ul>Preferred Skills (Nice to Have)<ul><li>Experience with NLP, Computer Vision, or Deep Learning.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure).</li><li>Understanding of MLOps tools and deployment pipelines.</li><li>Bonus: Exposure to automation tools like n8n, Zapier, or working with LLMs like ChatGPT.</li></ul>Benefits<ul><li>Hands-on learning with live AI/ML projects.</li><li>Mentorship from experienced engineers and data scientists.</li><li>Internship Certificate and Letter of Recommendation upon completion.</li><li>Opportunity for full-time employment based on performance.</li></ul>Job Type: Full-timePay: &#8377;5,000.00 - &#8377;10,000.00 per monthWork Location: In person

AI/ML Intern

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