machine learning intern

NTwist

<p>Machine Learning Developer Intern &ndash; 6-Months (Hyderabad, Onsite)</p><p>Turn your ML skills into real-world impact with Finmee Technologies (NTWIST), working on production-grade AI solutions that improve efficiency and sustainability across global industries.</p><p>Are you passionate about building intelligent systems that solve real-world challenges with measurable impact? As a Machine Learning Developer Intern at Finmee Technologies (NTWIST), you will work on cutting-edge ML projects that power data-driven decisions in continuous process industries. During this 6‑month internship, you will contribute to live products, learn production best practices, and have the potential to convert into a full-time Machine Learning Engineer based on performance.</p><p>What you will work on</p><ul><li>Support the design, development, and deployment of ML models for real client use cases, from proof-of-concept to production-ready code.</li><li>Work with senior ML engineers and solution architects to validate ideas using sample data, build Python pipelines, and automate routine product maintenance tasks.</li><li>Perform data ETL, preprocessing, feature engineering, and exploratory analysis using tools like NumPy, Pandas, SciPy, and visualization libraries.</li><li>Assist in training, evaluating, and tuning ML models (parametric/non‑parametric, clustering, optimization, hyperparameter tuning) with frameworks such as TensorFlow and OpenCV.</li><li>Contribute to clean, well-documented codebases, follow agile practices, use Git for version control, and regularly update project management tools.</li><li>Participate in deployment and support activities: help with CI/CD-driven releases, basic monitoring scripts, and documentation for internal teams and clients.</li></ul><p>What we are looking for</p><ul><li>Currently pursuing or recently completed a Bachelor&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>Hands-on experience through courses, projects, internships, Kaggle, or personal ML/AI projects.</li><li>Strong Python skills and familiarity with key libraries: NumPy, Pandas, SciPy; exposure to TensorFlow and/or OpenCV is a plus.</li><li>Understanding of core ML concepts: data preprocessing, feature engineering, model training and evaluation, basic statistics and probability.</li><li>Comfort with Git and curiosity about working with databases (MongoDB or similar).</li><li>Problem-solving mindset, eagerness to learn, and ability to work from our Hyderabad office for the full duration of the internship.</li></ul><p>About Finmee Technologies (NTWIST)</p><p>Finmee Technologies (NTWIST) is a transformative AI and ML company helping enterprises unlock efficiency, reduce waste, and operate more sustainably. By leveraging advanced algorithms, we help continuous process plants reduce greenhouse gas emissions, energy consumption, and water usage while improving profitability.</p><p>Visit us at www.ntwist.com to learn more and join us in shaping the future of intelligent, sustainable operations.</p><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Hyderabad, Telangana (Hyderabad, Ranga Reddy District): Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Application Question(s):</p><ul><li>Can you summarize your relevant work experience and skills that you have to play this role.</li><li>Please rate your proficiency (Beginner / Intermediate / Advanced) in the following and briefly mention where you used them (coursework, projects, internships, personal):</li></ul><p>1 &ndash; No experience<br/>2 &ndash; Basic familiarity<br/>3 &ndash; Comfortable / Intermediate<br/>4 &ndash; Strong / Advanced<br/>5 &ndash; Expert / Can mentor others<br/>1)Python</p><p>2)NumPy / Pandas</p><p>3)TensorFlow or PyTorch</p><p>4)SQL or MongoDB</p><p>5)Git</p><p>Work Location: In person</p>

Machine Learning Intern

MYLO

<div><ul><li><b>Model Development:</b> Assist in designing, training, and fine-tuning machine learning models using Python and modern ML frameworks.</li><li><b>
Data Pipeline Maintenance:</b> Help clean, preprocess, and analyze large datasets to ensure high-quality training inputs for our models.</li><li><b>
Performance Evaluation:</b> Conduct experiments to evaluate model accuracy, precision, and recall; document findings and iterate based on performance metrics.</li><li><b>
Research &amp; Implementation:</b> Stay up-to-date with the latest developments in AI/ML and explore how they can be applied to solve specific fintech problems.</li><li><b>
Collaborative Deployment:</b> Work with the engineering team to integrate model prototypes into our production environment.</li></ul><br>
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Requirements</b><br>
<ul><li><b>
Education:</b> Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.</li><li><b>
Technical Toolkit:</b> Proficiency in <b>Python</b> (specifically libraries like Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow). Back-end or full-stack knowledge.</li><li><b>
Statistical Foundation:</b> A solid understanding of machine learning algorithms, statistics, and linear algebra.</li><li><b>
Data Fluent:</b> Comfortable working with SQL to query and manipulate large datasets.</li><li><b>
Curious &amp; Persistent:</b> You love debugging complex issues and are comfortable with the iterative nature of ML model building.</li></ul>
Nice to have
<ul><li>Experience with <b>cloud platforms</b> (AWS, GCP, or Azure) and machine learning services (e.g., SageMaker, Vertex AI).</li><li>
Exposure to LLM and GenAI.</li><li>
Previous experience or passion projects in the fintech space (e.g., building a sentiment analysis tool for markets, or a personal expense classifier).</li><li>
Familiarity with version control systems like <b>Git</b>.</li></ul><br>
<b>
Benefits</b><p><b><br>
Inspiring Office Environment</b><br>
When you come to the mylo office, you'll find creative workspaces, an open design that encourages team collaboration, and a well-equipped kitchen for your daily coffee breaks or snack moments.</p><p><b>
&zwj; Learn from the Best</b><br>
You&rsquo;ll be surrounded by experienced, passionate tech professionals who are ready to guide you. You'll learn fast, grow even faster, and gain real-world exposure that will help you take confident steps in your career.</p><p><b>
Real Impact</b><br>
This isn&rsquo;t a &ldquo;watch-and-learn&rdquo; kind of internship. You&rsquo;ll be working on real projects, solving actual problems, and making a difference &mdash; from day one.</p></div>

Anyware Robotics

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</div><div><h3 class="jobSectionHeader"><b>About Anyware Robotics</b></h3>
<div><div>Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. Our robots are trusted by customers across logistics, retail, and manufacturing, supporting applications such as truck unloading, mobile palletizing, and machine tending.
</div></div></div><div><h3 class="jobSectionHeader"><b>Description</b></h3>
<div><div><h3 class="jobSectionHeader"><b>About Anyware</b></h3><p>
Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. Our robots are deployed in real warehouse and logistics environments, supporting applications such as truck unloading, mobile palletizing, and machine tending.</p><p></p><h3 class="jobSectionHeader"><b><br>
The Role</b></h3><p>
The robots run on <b>AnywareOS</b>, our industrial physical intelligence system. We are looking for a<b> Robot Learning Intern</b> to work on applied manipulation learning using real robot data collected from production and in-house operations.</p><p>
This role is designed for a <b>strong, independent intern</b> who can take a scoped robot learning problem from data understanding to model training, evaluation, and technical recommendation. Example directions include vision-language-action models, imitation learning, diffusion policies, action prediction, failure-mode analysis, or policy evaluation using multimodal robot data.</p><p></p><h3 class="jobSectionHeader"><b><br>
What You&rsquo;ll Do</b></h3><ul><li>
Work with real robot datasets, including various sensory inputs and system information related to robot behavior and outcomes.</li><li>
Develop and evaluate robot learning models for a range of manipulation-related tasks.</li><li>
Design, implement, and deliver approaches that bridge exploration and production readiness with imitation learning, diffusion policy, VLA models, or representation learning.</li><li>
Build data pipelines, training scripts, evaluation metrics, and experiment reports.</li><li>
Analyze successful and failed robot trials to identify learnable patterns and production-relevant failure modes.</li><li>
Collaborate with planning, perception, and controls engineers to understand how learned models could augment the production system.</li><li>
Present clear technical findings, including what worked, what failed, and what should be tested next.</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Required Skills</b></h3><ul><li>
Current MS or PhD student in robotics or machine learning.</li><li>
Experience with robot learning, imitation learning, reinforcement learning, diffusion policies, VLA models, or visuomotor policy learning.</li><li>
Strong Python programming skills and hands-on experience with PyTorch, JAX, or similar ML frameworks.</li><li>
Strong data debugging skills, including dataset inspection, failure analysis, and metric design.</li><li>
Familiarity with ROS, ROS2, robot logs, RGB-D data, point clouds, or robot kinematics.</li><li>
Comfortable reading papers, implementing baselines, running experiments, and communicating technical tradeoffs.</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Nice to Have</b></h3><ul><li>
Experience working with real robot data, not only simulation.</li><li>
Prior work on manipulation, grasping, or mobile manipulation robotics.</li><li>
Experience with large pretrained models, vision-language models, or multimodal representation learning.</li><li>
Publications, open-source projects, or strong course/research projects in robot learning.</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
What Success Looks Like</b></h3><p>
By the end of the internship, the intern should deliver a clear technical result: a trained model, reproducible experiment pipeline, evaluation report, and recommendation on whether the explored method is promising for Anyware&rsquo;s production manipulation roadmap.</p><p>
The goal is not just a demo. The goal is to deliver a validated model or method that demonstrates measurable improvement on defined manipulation tasks, along with clear evaluation results and a concrete recommendation for integration into the production system.</p><p></p><h3 class="jobSectionHeader"><b><br>
Why Anyware</b></h3><ul><li><b>
An A+ Team:</b> Anyware is built by top talents. Collectively, our team has won six Best Paper Awards and Finalists, including the ICRA 2025 Best Paper Award and ICRA 2024 Best Paper Award.</li><li><b>
An A+ Robot:</b> Our robot, Pixmo, won the Best Innovation Award (top-1) at both ProMat 2025 and MODEX 2026 &mdash; the two largest logistics automation exhibitions in the world. This is the first time in history that a robotics company has won this prestigious award back-to-back. Pixmo also won the RBR50 Robotics Innovation Award, recognizing it as one of the top 50 most innovative robotics solutions globally.</li><li><b>
Real Impact:</b> You will contribute directly to the core manipulation intelligence that powers every Pixmo deployment. Your work does not stop at a demo &mdash; it ships into real customer sites and solves real problems at scale.</li><li><b>
Fast Growth:</b> You will sharpen your skills with strong ownership and real responsibility. The team size is doubling every year, creating plenty of room for talents to step up and shine.</li><li><b>
Generous Equity:</b> We offer generous equity. Salary makes a living, while equity makes a millionaire.</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Compensation</b></h3><p>
The expected salary range for this role is $30-60/hr, depending on experience and qualifications.</p><p>
Additional compensation may include equity, benefits, or other incentives, where applicable.</p><p></p><h3 class="jobSectionHeader"><b><br>
Benefits &amp; Perks</b></h3><ul><li>
Daily meals</li><li>
Unlimited snacks and drinks</li><li>
Travel per diem</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Equal Opportunity Statement</b></h3><p>
Anyware is an equal opportunity employer. We are committed to creating an inclusive workplace and welcome applicants from all backgrounds. Employment decisions are based on qualifications, merit, and business needs.</p><p></p><h3 class="jobSectionHeader"><b><br>
How to Apply</b></h3><p>
Please submit your resume and any relevant materials through the <b>Anyware Career platform</b>. We look forward to learning more about your experience and interest in joining our team.</p></div></div></div></div>

Robot Learning Intern — Manipulation Policy Learning (2026 Fall)

Better Analytics Private Limited

<p>We are looking for a motivated AI/ML Intern to join our team and work on real-world machine learning and generative AI projects. This internship offers hands-on experience in building, training, and deploying AI models while collaborating with experienced engineers and product teams.</p><p><b>Key Responsibilities</b></p><ul><li>Assist in developing and implementing machine learning models.</li><li>Work with structured and unstructured datasets for data preprocessing and analysis.</li><li>Build and evaluate predictive models using Python and popular ML libraries.</li><li>Develop AI-powered applications using Large Language Models (LLMs) and prompt engineering.</li><li>Experiment with Retrieval-Augmented Generation (RAG) and vector databases.</li><li>Support model deployment, testing, and performance optimization.</li><li>Research emerging AI technologies and contribute innovative ideas.</li><li>Document experiments, findings, and technical implementations.</li></ul><p><b>Required Skills</b></p><ul><li>Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Strong programming skills in Python.</li><li>Basic understanding of machine learning concepts and algorithms.</li><li>Familiarity with libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.</li><li>Knowledge of SQL and data analysis.</li><li>Understanding of Generative AI, LLMs, or prompt engineering is a plus.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and teamwork abilities.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with LangChain, LlamaIndex, or similar AI frameworks.</li><li>Familiarity with APIs, REST services, or FastAPI.</li><li>Knowledge of Git and version control.</li><li>Experience with cloud platforms (AWS, Azure, or GCP) is a plus.</li><li>Personal, academic, or open-source AI/ML projects are highly valued.</li></ul><p><b>Internship Details</b></p><ul><li><b>Employment Type:</b> Internship</li><li><b>Duration:</b> 3&ndash;6 months</li><li><b>Work Mode:</b> On-site</li></ul><p>Pay: ₹15,000.00 - ₹20,000.00 per month</p><p>Work Location: In person</p>

AI/ML Intern (Machine Learning & Generative AI)

INNOBAYT INNOVATIVE SOLUTIONS

<p><b>About the Role</b></p><p><b>Innobayt</b> is seeking a highly motivated AI Engineer Intern for a 3-month intensive internship. During this program, you'll gain hands-on experience working on real-world AI projects involving Machine Learning, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and Computer Vision. You'll collaborate closely with our experienced engineering team to develop innovative and impactful AI solutions.</p><p><b>Key Responsibilities</b></p><ul><li>Assist in developing, fine-tuning, and optimizing machine learning models.</li><li>Build AI-powered solutions, including AI Agents and LLM-based applications.</li><li>Prepare and preprocess datasets for AI model development.</li><li>Research and experiment with LLMs, RAG, prompt engineering, and emerging AI technologies.</li><li>Integrate AI models into applications, APIs, and production workflows.</li><li>Evaluate, test, and improve AI model performance.</li><li>Collaborate with the engineering team on real-world AI projects.</li><li>Document technical work, experiments, and project progress.</li></ul><p><b>What We're Looking for Technical Skills</b></p><ul><li>Bachelor's degree (or final-year student) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Fresh graduates are encouraged to apply.</li><li>Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.</li><li>Basic understanding of Machine Learning, Deep Learning, Natural Language Processing (NLP), or Computer Vision.</li><li>Familiarity with LLMs, embeddings, vector databases, RAG, LangChain, or OpenAI APIs is an advantage.</li><li>Basic knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus.</li></ul><p><b>Language Requirement</b></p><ul><li>Fluent in Arabic (required)</li><li>Fluent in English (required)</li></ul><p><b>Mindset &amp; Work Approach</b></p><ul><li>Passion for Artificial Intelligence and emerging technologies.</li><li>Eagerness to learn, experiment, and solve real-world challenges.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work effectively in a collaborative and fast-paced environment.</li></ul><p><b>What We Offer</b></p><ul><li>Hands-on experience working on real-world AI projects.</li><li>Mentorship from experienced AI and software engineers.</li><li>Exposure to modern AI tools, frameworks, and industry best practices.</li><li>A nominal monthly stipend (the exact amount will be discussed during the interview).</li><li>Internship certificate upon successful completion.</li><li>Opportunity for a full-time role based on performance.</li></ul><p>Job Type: Internship</p><p>Work Location: In person</p>

AI Engineer Intern – 3-Month Internship

General Motors (GM)

<div><p><b>Job Description
</b></p><p><b>Sponsorship: </b>GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
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<b>Work Arrangement: </b>This role is categorized as <b>ONSITE </b>, General Shift, 45 hours per week, 6-month duration. This means the successful candidate is expected to report to GM TCI office five times per week or other frequency dictated by the business.
</p><p></p><p><b>The Role
</b></p><p>We are seeking a highly motivated and curious AI/ML Intern to join our engineering and manufacturing team. This role is ideal for a student who is passionate about applying artificial intelligence, machine learning, analytics, and automation to solve practical engineering and manufacturing problems. The intern will work with cross-functional teams to explore opportunities, develop prototypes, analyze data, and support digital solutions that improve efficiency, quality, and business outcomes.
</p><p></p><p><b>What You&rsquo;ll Do
</b></p><ul><li><p>Support development and evaluation of AI/ML, analytics, and automation solutions for engineering and manufacturing use cases.
</p></li><li><p>Work with engineers, domain experts, and data-focused teams to identify problem statements, gather requirements, and translate business needs into technical approaches.
</p></li><li><p>Assist in collecting, cleaning, and analyzing structured and unstructured data to uncover trends, patterns, and improvement opportunities.
</p></li><li><p>Build and test prototypes, proof of concepts, dashboards, or scripts that demonstrate the value of AI/ML in real business processes.
</p></li><li><p>Support model development activities such as feature preparation, experimentation, validation, and performance tracking under guidance from the team.
</p></li><li><p>Create clear documentation, presentations, and summaries to communicate findings, recommendations, and next steps to technical and non-technical stakeholders.
</p></li><li><p>Research emerging AI/ML tools, methods, and best practices relevant to engineering, manufacturing, and digital transformation initiatives.
</p></li><li><p>Collaborate in a fast-paced environment while demonstrating curiosity, learning agility, ownership, and strong teamwork.
</p></li></ul><p></p><p><b>Your Skills &amp; Abilities (Required Qualifications)
</b></p><ul><li><p>Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Statistics, or a related field.
</p></li><li><p>Basic understanding of AI/ML concepts such as supervised learning, unsupervised learning, model evaluation, and data preprocessing.
</p></li><li><p>Working knowledge of Python and familiarity with common data analysis libraries such as NumPy, Pandas, or similar tools.
</p></li><li><p>Familiarity with data analysis, visualization, and reporting techniques.
</p></li><li><p>Exposure to SQL, Power BI, or similar analytics and visualization tools is preferred.
</p></li><li><p>Strong analytical thinking, problem-solving ability, and attention to detail.
</p></li><li><p>Effective written and verbal communication skills and the ability to work with cross-functional teams.
</p></li></ul><p></p><p><b>What Will Give You A Competitive Edge (Preferred Qualifications)
</b></p><ul><li><p>Exposure to machine learning frameworks or platforms such as scikit-learn, TensorFlow, PyTorch, or cloud-based AI/ML tools.
</p></li><li><p>Familiarity with manufacturing, engineering, plant operations, simulation, or industrial data use cases.
</p></li><li><p>Experience through academic projects, internships, hackathons, or coursework in AI, machine learning, analytics, automation, or digital product development.
</p></li><li><p>Interest in applying AI responsibly, including awareness of output quality, bias, and governance considerations.
</p></li></ul><p></p><p><b>What Success Looks Like
</b></p><ul><li><p>Delivers high-quality analysis and prototype outputs on assigned work.
</p></li><li><p>Demonstrates strong learning agility and curiosity in new tools and business problems.
</p></li><li><p>Communicates ideas clearly and works effectively with stakeholders.
</p></li><li><p>Contributes to practical use cases that support engineering and manufacturing efficiency, quality, or innovation.
</p></li></ul><p></p><p><b>Why Join Us
</b></p><p>At GM, you will have the opportunity to work on meaningful problems, collaborate with talented teams, and gain hands-on experience applying AI/ML in real-world engineering and manufacturing environments. This internship offers exposure to emerging technologies, cross-functional teamwork, and business challenges that help shape the future of mobility and industrial transformation.
</p>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;
<p><b>About GM
</b></p><p>Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
</p><p></p><p><b>Why Join Us
</b></p><p>We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
</p><p></p><p><b>Non-Discrimination and Equal Employment Opportunities
</b></p><p>General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <b>How we Hire </b>.
</p><p></p><p><b>Accommodations
</b></p><p>General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <b>email </b>us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</p></div>

AI/ML Student Intern- Body Digitization & AI

European Space Agency

<p></p><div><div><div><div><div><div><div><p>Intern in the Software &amp; Artificial Intelligence Team, XR-Lab
</p></div></div></div></div><div><div><div><div><b>Job Requisition ID: </b>20702
</div></div></div></div><div><div><div><div><b>Date Posted: </b>1 July 2026
</div></div></div></div><div><div><div><div><b>Closing Date: </b>29 July 2026 23:59 CET/CEST
</div></div></div></div><div><div><div><div><b>Publication: </b>External Only
</div></div></div></div><div><div><div><div><b>Type of Appointment</b><b>: </b>Intern
</div></div></div></div><div><div><div><div><b>Directorate: </b>Human and Robotic Exploration
</div></div></div></div><div><div><div><div><b>Workplace:
</b>Porz-Wahn, DE<br>
</div></div></div></div><div></div><div><div><div><div><div><b>Location</b></div>
<div>
EAC, Porz-Wahn, Germany</div><div><div><div><div><b>
Our team and mission</b></div>
</div><div><div>
Within the XR-Lab, you will work on advanced extended reality applications for astronaut support, onboard operations, and space exploration preparation. The team develops and evaluates immersive tools that can support crew training, operational assistance, procedure execution, human-system interaction, and mission concept development across a wide range of human spaceflight scenarios.</div><br>
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<div>
This internship is focused on preliminary work for projects using some Meta Quest 3 headsets onboard the International Space Station. In this context, the work combines extended reality development with machine learning techniques to improve interaction, perception, environment understanding, data interpretation, or context-aware assistance in constrained operational environments. The work may involve prototyping, testing, and refining methods that can increase robustness and usability for astronaut applications.</div><br>
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<div>
You will collaborate closely with engineers and researchers in the XR-Lab and contribute to ongoing developments that connect software engineering, human-centred design, and applied space technology. The internship offers exposure to both practical implementation and experimentation, with opportunities to support the maturation of tools that are relevant to prepare future operational and research use cases.</div><br>
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Candidates interested are encouraged to visit the ESA website: http://www.esa.int</div></div></div><div><div><div><b>
Field(s) of activity for the internship</b></div>
</div><div><div><b>
Topic of the internship: XR and Machine Learning for Onboard Meta Quest 3 Applications on the International Space Station</b></div><br>
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<div>
You will contribute to the development of extended reality applications and supporting software for projects involving Meta Quest 3 headsets used onboard the International Space Station. Your work will focus on combining immersive application development with machine learning methods to explore new capabilities for onboard assistance, interaction, data interpretation, and experimental operational concepts.</div><br>
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<div>
You will help design, prototype, implement, and evaluate software components in close collaboration with the team. Depending on the project needs, this may include real-time interaction features, sensor or data processing pipelines, computer vision based functions, or software tooling that supports experimentation and validation. You will contribute to technical trade-offs, implementation work, and iterative testing of candidate solutions in a demanding applied environment.</div><br>
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<div>
Through this internship, you will gain experience in extended reality development for space applications, applied machine learning in operational contexts, and collaborative engineering within a multidisciplinary team. You will also develop an understanding of how immersive technologies must be adapted, validated, and matured for use in constrained and safety-relevant environments.</div></div></div><div><div><div><b>
Behavioural competencies</b></div>
</div><div><div>
Result Orientation<br>
Operational Efficiency<br>
Fostering Cooperation<br>
Relationship Management<br>
Continuous Improvement<br>
Forward Thinking</div><br>
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<div>For more information, please refer to ESA Core Behavioural Competencies guidebook</div>
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Education</b></div>
</div><div><div>
You must be a university student, preferably studying at master&rsquo;s level. In addition, you must be able to prove that you will be enrolled at your University for the entire duration of the internship.</div>
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Additional requirements</b></div>
</div><div><div>
The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another ESA Member State language is an asset.</div>
<div>
During the interview, your motivation for applying to this role will be explored.</div><br>
<div><b>
Essential Skills:</b></div><br>
<div></div>
<ul>
<li>proven background in Unreal Engine or Unity Engine development;</li>
<li>intermediate C++ and/or intermediate Python proficiency;</li>
<li>interest in extended reality development and machine learning applications;</li>
<li>familiarity with version control and collaborative software engineering practices.</li></ul><br>
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<div><b>
Desirable Skills:</b></div><br>
<div></div>
<ul>
<li>knowledge of computer vision, Bayesian theory, or signal processing;</li>
<li>experience with prototyping, experimentation, or technical evaluation of interactive systems.</li>
</ul></div></div></div><div><b>
Diversity, Equity and Inclusiveness</b><br>
ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We therefore welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, religious beliefs, age, disability or other characteristics.</div>
<div>
At the Agency we value diversity, and we welcome people with disabilities. Whenever possible, we seek to accommodate individuals with disabilities by providing the necessary support at the workplace. The Human Resources Department can also provide assistance during the recruitment process. If you would like to discuss this further, please contact us via email at contact.human.resources@esa.int.</div><br>
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Important Information and Disclaimer</b><br>
During the recruitment process, the Agency may request applicants to undergo selection tests.</div>
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Applicants must be eligible to access information, technology, and hardware which is subject to European or US export control and sanctions regulations.</div>
<div>
The information published on ESA&rsquo;s careers website regarding internship conditions is correct at the time of publication. It is not intended to be exhaustive and may not address all questions you would have.</div><br>
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Nationality</b></div>
<div>
Please note that applications are only considered from nationals of one of the following States: Austria, Belgium, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, and the United Kingdom.</div>
</div></div></div></div></div><div></div><div><div><div><div><div><p>Find your path with ESA &raquo;</p><br>
</div></div></div></div><div></div><div><div><div><div><p>Internship Programme &raquo;</p><br>
</div></div></div></div><div></div><div><div><div><div><p>FAQ &raquo;</p></div></div></div></div></div></div></div><p></p>

Intern in the Software & Artificial Intelligence Team, XR-Lab

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Intern in the Software & Artificial Intelligence Team, XR-Lab