machine learning intern

TechPeek Magnus Solutions Pvt. Ltd.

<p><b>About the Role</b></p><p>Passion3DWorld is seeking a motivated and talented Machine Learning Engineer Intern to join our technical team. This remote, flexible internship is designed for students who are recently graduated or currently enrolled in college who are eager to apply and expand their skills in machine learning and software development. You will work directly with our experienced team, gaining hands-on experience in a real-world setting.</p><p>Passion3DWorld provides world-class enterprise specific solutions in the overlapping sections of Robotics, AI/ML, and 3D Printing.</p><p><b>What You'll Do</b></p><ul><li><b>Contribute to Software Development:</b> Assist in the design, development, and implementation of new software solutions.</li><li><b>Data and Model Management:</b> Help with data collection, pre-processing, and database creation. You will also assist in fine-tuning Large Language Models (LLMs) and other machine learning projects.</li><li><b>Backend Development:</b> Learn and contribute to API creation and backend development to support new applications.</li><li><b>Testing and Debugging:</b> Collaborate with the team to test, debug, and ensure the reliability of software solutions.</li><li><b>Documentation:</b> Create clear and concise documentation for new software applications and processes.</li><li><b>Team Collaboration:</b> Attend meetings and work with other team members to contribute to a collaborative and innovative environment.</li></ul><p><b>Qualifications</b></p><ul><li>Recently graduated or Currently enrolled in a college or university program.</li><li>A strong interest in machine learning, software development, and related technologies.</li><li>Eagerness to learn new skills and adapt to changing project needs.</li><li>Strong communication and collaboration skills.</li></ul><p>Job Type: Internship<br/>Contract length: 2 months</p><p>Pay: &#8377;4,500.00 per month</p><p>Benefits:</p><ul><li>Paid time off</li><li>Work from home</li></ul><p>Work Location: Remote</p>

Machine Learning Intern

Airbus

<div><p><b>Job Description:
</b></p><p><b>Job Title: </b><b>Machine Learning Engineer Intern
</b></p><h3 class="jobSectionHeader"><b>About Us </b><b>:
</b><br>
<b>At Airbus, we are dedicated to push the boundaries of innovation by leveraging cutting-edge technologies and data to deliver </b><b>state-of-the-art solutions </b><b>. 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.
</b><br>
<br>
<b>Responsibilities </b><b>:
</b></h3><ul><li><p><b>Assist in building and improving machine learning models for various applications.
</b></p></li><li><p><b>Work with datasets, cleaning, preprocessing, and transforming data to train models.
</b></p></li><li><p><b>Implement SOTA deep learning algorithms to solve various Computer vision problems.
</b></p></li><li><p><b>Collaborate with senior engineers and data scientists to optimize model performance and deploy the model as an endpoint or batch job.
</b></p></li><li><p><b>Conduct experiments and analyze the performance of models using open source datasets and benchmark on Airbus specific data.
</b></p></li><li><p><b>Create data visualizations and reports to communicate insights and results effectively.
</b></p></li><li><p><b>Contribute to the development of machine learning pipelines with MLOps capabilities (experiment tracking, model/data versioning etc).
</b></p></li></ul><p></p><h3 class="jobSectionHeader"><b>Qualification </b><b>:
</b></h3><ul><li><h3 class="jobSectionHeader"><b>Currently pursuing a degree in Computer Science, Data Science, Mathematics, Engineering, or related fields.
</b></h3></li></ul><h3 class="jobSectionHeader"><br>
<b>Required Skills:
</b></h3><ul><li><p><b>Understanding of machine learning algorithms and techniques (e.g., supervised, unsupervised learning, deep learning).
</b></p></li><li><p><b>Proficiency in Python programming language.
</b></p></li><li><p><b>Familiarity with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, scikit-learn, etc.
</b></p></li><li><p><b>Knowledge on Computer Vision concepts
</b></p></li><li><p><b>Experienced with Miniforge, VSCode, Git, etc on Windows and Linux.
</b></p></li><li><p><b>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is preferable.
</b></p></li><li><p><b>Knowledge of version control tools like Git.
</b></p></li><li><p><b>Familiarity with SQL and working with databases.
</b></p></li><li><p><b>Exposure to basics of devops (e.g., using Docker, Kubernetes) is a plus.
</b></p></li><li><p><b>Strong communication skills and collaboration with team members.
</b></p></li></ul><h3 class="jobSectionHeader"><b>What We Offer:
</b></h3><ul><li><p><b>Real-world experience working on machine learning projects.
</b></p></li><li><p><b>Mentorship and learning opportunities from experienced engineers and data scientists.
</b></p></li><li><p><b>Access to cutting-edge tools and technologies in machine learning.
</b></p></li><li><p><b>Collaborative and supportive work environment.
</b></p></li><li><p><b>Opportunity to grow your career in the tech industry.
</b></p></li></ul><p></p><p>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.
</p><p></p><p><b>Company:
</b></p>Airbus India Private Limited
<p></p><p><b>Employment Type:
</b></p>Internship
<p>-
</p><p></p><p><b>Experience Level:
</b></p>Student
<p></p><p><b>Job Family:
</b></p>Digital &lt;JF-IM-DI&gt;
<p></p><div><div><div><div><p>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.
<br>
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.
</p><p>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 .
</p></div></div></div></div><p></p><p>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.</p></div>

Dropbox

Role Description
<br><br>
As a Machine Learning Intern , you’ll contribute to advancing Dropbox’s mission to create a more enlightened way of working through cutting-edge research and applied machine learning. You’ll collaborate with experienced engineers and researchers to design, prototype, and evaluate scalable AI/ML systems that power Dropbox Dash’s universal search and intelligent organization features. Your work will shape how millions of people find information, collaborate, and focus on meaningful work.
<br><br>
This internship offers the opportunity to translate your research into real-world impact while gaining experience with large-scale production systems and cross-functional collaboration in a fast-moving, high-impact environment.
<br>Responsibilities
<br><br>
Research and prototype innovative machine learning approaches in areas such as Search, Large Language Models (LLMs), Multimodal Content Understanding, and Recommender Systems
<br>Design and implement end-to-end ML pipelines—from data exploration to model training, evaluation, and deployment—in collaboration with mentors and product teams
<br>Analyze large-scale datasets to identify opportunities for personalization and improved user experiences
<br>Partner with Product, Design, and Engineering teams to integrate models into Dropbox products
<br>Contribute to the team’s technical discussions, offering research-based perspectives to guide experimentation and long-term strategy
<br>Requirements
<br><br>
Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field, with a research focus on advanced AI
<br>Graduation date in Winter 202 7 or Spring/Summer 202 8 .
<br>Proven experience in applied AI, through research publications, significant projects, or internships where you built or tested advanced ML solutions.
<br>Strong coding skills (e.g., Python, PyTorch, scikit-learn, or similar ML libraries), plus an ability to quickly prototype and iterate on cutting-edge ideas.
<br>Curiosity and drive to explore novel ML methodologies and translate them into practical applications that solve user needs.
<br><b>Research experience in one or more of the following:</b> Natural Language Processing, Large Language Models, Deep Learning, Recommender Systems, Learning to Rank, Speech Processing, Graph Learning
<br>Strong analytical and problem-solving skills, with the ability to bridge research and practical application
<br>Excellent communication and collaboration skills, especially in interdisciplinary teams
<br>Familiarity with modern ML infrastructure and large-scale data systems
<br>Preferred Qualifications
<br><br>
Publications in top-tier ML, AI, or NLP conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, KDD, SIGIR, CVPR)
<br>Experience with LLM-based applications or Retrieval-Augmented Generation (RAG) systems
<br>Interest in translating research insights into product impact for real-world users
<br>Familiarity with the end-to-end process of building AI prototypes: from data exploration and model iteration to evaluation and user testing.
<br>Passion for swiftly moving from idea to experiment, comfortable with ambiguous or evolving project goals.
<br>Compensation US Pay Range $11,500—$12,500 USD
<br><br>
The rate listed above is the expected monthly rate for this role, subject to change.
<br><br>
Dropbox is a Virtual First company and is open to hiring candidates in all authorized locations.
<br><br>
Company Description
<br><br>
Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.
<br><br>
Team Description
<br><br>
The Dropbox Emerging Talent program shapes the future of work by empowering the next generation of innovators. We transform potential into impact by connecting exceptional early-career professionals with meaningful challenges that can touch hundreds of millions of lives. Our program allows interns and apprentices to work alongside industry experts, bringing fresh perspectives while solving interesting problems. We foster growth through hands-on learning, dedicated mentorship, and a vibrant community that supports your journey from day one. If you're ready to launch your career in an environment that combines real-world impact with genuine connection, join our Emerging Talent program.
<br><br>
<b>We will be hiring for these departments in 2025:</b> Engineering, Customer Experience, Sales, Legal, Office of the CEO
<br><br>
Benefits
<br><br>
Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families.
<br><br>
<b>Our benefits and perks programs include:</b><br>
Medical, Dental, and Vision coverage
<br><br>
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
<br><br>
Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
<br><br>
Mental health and wellness benefits
<br><br>
Monthly Internet Allowance
<br><br>
Intern Social Stipend
<br><br>
Annual Emerging Talent Summit, travel and hotel accommodations provided
<br><br>
Additional benefits details are available upon request.
<br><br>
Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI philosophy .
<br><br>
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox.

PhD Machine Learning Intern (Summer 2026)

Fox Corporation

<div><div>OVERVIEW OF THE COMPANY</div><div></div><div>
JOB DESCRIPTION</div><div>
Fox Tech is looking for a talented and driven Intern with a focus on AI/ML to join our team. This internship provides a unique opportunity to work on real-world AI/ML projects, giving you hands-on experience in applying machine learning techniques within software development and engineering practices.</div><div></div><div>
About the Role:</div><div><br>
As an AI/ML Engineering Intern, you will assist in the design, development, and testing of machine learning powered software solutions. Working alongside experienced engineers and data scientists, you will contribute to new projects, helping you expand your technical skills and deepen your understanding of data sciences and machine learning.</div><div></div><div>
About You:</div><div><br>
You&rsquo;re a tech-savvy individual with a passion and knowledge of AI/ML and software development.. You&rsquo;re eager to learn, contribute, and bring strong analytical skills and attention to detail to each project. You&rsquo;re excited to apply machine learning to real-world problems and thrive in a collaborative environment.</div><div></div><div>
A Snapshot of the Responsibilities:</div><ul><li><div>
Assist in developing and implementing machine learning models and AI-driven features.</div></li><li><div>
Participate in code reviews, contributing to model and code quality improvements.</div></li><li><div>
Conduct testing and debugging of AI applications to ensure functionality and performance.</div></li><li><div>
Collaborate with team members to gather requirements and provide technical support for AI/ML integrations.</div></li><li><div>
Help document technical specifications, model details, and user guides.</div></li><li><div>
Stay updated on industry trends and best practices in AI/ML engineering</div></li></ul><div></div><div>
What You Will Need:</div><ul><li><div>
Currently pursuing a degree in Computer Science or a related field with a focus on AI/ML.</div></li><li><div>
Basic programming skills in languages such as Python, Java, or R, with familiarity in machine learning libraries (e.g., TensorFlow, PyTorch).</div></li><li><div>
Familiarity with software development methodologies and tools (e.g., Git, Agile)</div></li><li><div>
Strong analytical and problem-solving abilities in AI/ML contexts.</div></li><li><div>
Excellent communication and teamwork skills.</div></li><li><div>
A willingness to learn and adapt in a fast-paced environment</div></li></ul><div></div><div><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></div></div><div></div>

Intern - Engineering

Daice Labs

<div>
 <p>
  <strong>
   Company Description
  </strong>
 </p>
 <p>
  Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. Founded by MIT CSAIL scientists, we focus on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. Operating on two tracks, our Product Lab develops industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications, while our Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures.
 </p>
 <p>
  Join us in taking the next leap in productivity through collaborative innovation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Description
  </strong>
 </p>
 <p>
  This is a full-time remote role for a Research AI Engineer Intern in our R&amp;D department. The Research AI Engineer Intern will be responsible for helping developing and implementing AI and machine learning algorithms, conducting research on new AI methodologies, and applying statistical models to improve hybrid AI systems. Day-to-day tasks include analyzing data , building hybrid architectures (LLMs/DL, symbolic reasoning), and designing efficient evaluation benchmarks. Collaboration with cross-functional teams to integrate AI solutions into broader projects is also a key aspect of this role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Strong foundation in Computer Science
  </li>
  <li>
   Strong foundation in Machine learning algorithms, LLMs, agentic architectures
  </li>
  <li>
   Proficiency in Statistics, evaluation, inference, platform integration
  </li>
  <li>
   Proficiency in python and ML stack programming languages/libraries/toolkits
  </li>
  <li>
   Excellent problem-solving skills and ability to work independently
  </li>
  <li>
   Effective communication skills for collaborative work
  </li>
  <li>
   Bachelor's or Master's degree in Computer Science, AI, or related field
  </li>
  <li>
   Experience with hybrid AI system design is a plus
  </li>
 </ul>
</div>


Research AI engineer intern

IO DataLabs

<p><b>IO Data Labs is hiring for a Senior Machine Learning Engineer. we are Canada based Organization seeking for a candidate with strong technical background. Apply Now</b></p><p><b>Note: NO Freshers, No intern, only experienced candidate is reqd</b></p><p>Job Title: Senior Machine Learning Engineer</p><p>Required Experience: 4-6 years</p><p>Location: Remote</p><p>Timing: 6:30pm-2:30am</p><p><b>Experience:</b></p><ul><li>5+ years in AI/ML engineering, with significant experience in conventional ML.</li><li>Proven expertise in building ML models (e.g., Scikit-learn, XGBoost).</li><li>Experience with fine-tuning generative AI models (e.g., Hugging Face, TensorFlow, PyTorch) is a plus but not mandatory.</li></ul><p><b>Technical Skills:</b></p><ul><li>Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Strong knowledge of conventional ML algorithms (e.g., regression, decision trees, SVMs) and familiarity with generative AI architectures (e.g., transformers, GANs).</li><li>Experience with data preprocessing, feature engineering, and handling large datasets.</li><li>Familiarity with cloud platforms for model training and deployment, with Azure experience as a strong plus.</li><li>Knowledge of MLOps practices, including model versioning, monitoring, and CI/CD pipelines.</li><li>Experience with computer vision, natural language processing, or text generation is a plus.</li><li>Soft Skills:</li><li>Strong problem-solving and analytical skills.</li><li>Effective communication and collaboration skills for cross-functional and global teamwork.</li><li>Ability to explain technical concepts to non-technical stakeholders.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience fine-tuning large language models or generative AI for domain-specific applications.</li><li>Experience developing evaluation frameworks for generative AI models.</li><li>Familiarity with Azure cloud services (e.g., Azure Machine Learning, Azure Kubernetes Service, or Azure Data Lake) for model development and deployment.</li><li>Knowledge of reinforcement learning or multimodal AI models.</li><li>Contributions to open-source AI/ML projects or published research in relevant fields.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;600,000.00 - &#8377;1,200,000.00 per year</p><p>Work Location: Remote</p>

Machine Learning Engineer

Mexilet Technologies Private Limited

<p>We are seeking a passionate and innovative <b>AI/ML/DL Intern (Computer Vision)</b> to join our technical team. The intern will work on real-world projects involving image and video analysis, object detection, facial recognition, and deep learning model development. This internship offers hands-on experience in cutting-edge technologies and practical exposure to AI-driven applications.</p><p><b>Responsibilities:</b></p><ul><li>Assist in designing, training, and optimizing deep learning models for computer vision tasks (e.g., object detection, segmentation, classification).</li><li>Work with large image and video datasets &mdash; preprocessing, augmentation, and annotation.</li><li>Implement and experiment with state-of-the-art architectures using frameworks like TensorFlow, PyTorch, or OpenCV.</li><li>Collaborate with data scientists and engineers to deploy models in real-world scenarios.</li><li>Evaluate model performance using metrics such as precision, recall, F1-score, and accuracy.</li><li>Research recent advancements in AI/ML and propose innovative solutions.</li><li>Document project progress, results, and technical approaches.</li></ul><p><b>Requirements:</b></p><ul><li>Strong understanding of <b>Machine Learning</b>, <b>Deep Learning</b>, and <b>Computer Vision</b> fundamentals.</li><li>Familiarity with frameworks such as <b>TensorFlow</b>, <b>PyTorch</b>, <b>Keras</b>, and <b>OpenCV</b>.</li><li>Programming experience in <b>Python</b>.</li><li>Knowledge of neural network architectures like CNNs, RNNs, or Transformers.</li><li>Experience with dataset handling, image processing, and model evaluation.</li><li>Currently pursuing or recently completed a degree in <b>Computer Science</b>, <b>AI/ML</b>, <b>Data Science</b>, or a related field.</li></ul><p><b>Preferred Skills (Optional):</b></p><ul><li>Experience with cloud platforms (AWS, Google Cloud, Azure).</li><li>Exposure to edge AI or model deployment tools (TensorRT, ONNX, etc.).</li><li>Knowledge of NLP or multimodal learning.</li></ul><p><b>Benefits:</b></p><ul><li>Hands-on experience working with real-world AI/ML projects.</li><li>Mentorship from experienced professionals in the AI domain.</li><li>Internship certificate on successful completion.</li><li>Potential opportunity for full-time placement based on performance.</li></ul><p>Job Types: Full-time, Part-time, Fresher, Internship, Freelance<br/>Contract length: 3 months</p><p>Pay: &#8377;3,000.00 - &#8377;6,000.00 per year</p><p>Expected hours: 56 per week</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Paid sick time</li><li>Work from home</li></ul><p>Work Location: Remote</p>

AI/ML/DL Computer Vision Intern

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