Research Intern - Computer Vision and Deep Learning Job at Microsoft Corporation (Redmond)

Computer Vision Intern

Join our AI-focused internship to gain hands-on experience developing cutting-ed...

Location

Switzerland , Basel

Salary:

Not provided

MDPI

Expiration Date

Until further notice

Requirements

Master’s degree in Data Science, Machine Learning, Artificial Intelligence, or a closely related field is required
a PhD in these areas is considered a strong advantage
Less than 2 years of professional or hands-on experience in Computer Vision, AI/Data Science, and Linux-based environments
Advanced proficiency in English, with strong written and verbal communication skills
Working knowledge of Microsoft O365 tools for documentation and collaboration
Basic proficiency in Python for building complex applications and developing machine learning models
Familiarity with technologies such as FastAPI, Celery, and Keycloak
Solid understanding of core Artificial Intelligence principles and methodologies
Hands-on exposure to deep learning frameworks such as PyTorch or TensorFlow for image analysis and model development
Experience using computer vision libraries including OpenCV, scikit-image, and Pillow for image preprocessing and feature extraction

Job Responsibility

Support the preparation of a proof-of-concept prototype capable of detecting image manipulations and its integration into the editorial workflows
Contribute to the development of an AI-driven system designed to detect various types of image and figure manipulations in academic publications
Conduct research and experimentation on computer vision and image forensics techniques, including duplication detection, splicing, retouching, and contrast or brightness alterations
Develop and evaluate machine learning and deep learning models (e.g., CNNs, autoencoders, transformers) for anomaly and similarity detection in scientific figures
Collect, preprocess and analyze image datasets extracted from academic manuscripts, ensuring data quality and representative coverage of manipulation types
Collaborate with data engineers and data scientists to design scalable training pipelines, manage large image datasets, and benchmark algorithmic performance
Explore and implement relevant open-source tools, datasets, and research methods in the field of digital image forensics
Document experimental results, model architectures, and findings, contributing to internal technical reports and presentations

What we offer

The opportunity to contribute to the academic/scientific community
Flexible working hours
Team bond strengthening through team-building events
Professional growth opportunities with our global training system
Working in a collaborative and socially responsible team
Company retreat facility
Full-coverage insurance for accidents/daily sickness
Prime location near Basel train station and city center

Fulltime

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , Seattle

Salary:

49.00 - 75.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Degree completion date cannot be earlier than September 2026 - June 2027
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Exhibit a solid grasp of algorithms and data structures
Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

AI/ML Developer Evangelist

You will be Encord’s first ML Developer Evangelist hire. As an AI/ML Developer E...

Location

United States , San Francisco

Salary:

75000.00 - 120000.00 USD / Year

Encord

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science or a related field
previous experience working as a Machine Learning or Computer Vision Engineer or building machine learning models
a self-starter who wants to forge your own career path
confident in being the engineering face of a rapidly growing business
a desire to grow your own personal brand within AI/ML communities

Job Responsibility

Advocating for Encord within developer communities, fostering relationships with developers, and promoting the adoption of best practices
Leading research and content development on the latest updates and trends in AI/ML including foundational model releases
Creating engaging technical content, and organizing hands-on webinars to assist developers in developing performant models
Showcasing best practices in data curation, data labeling, label validation, and model evaluation
Leading the Encord community and responsibility for the structure of and engagement within the community
Working closely with internal teams to gather feedback and insights from the developers, contributing to the enhancement of Encord’s products and services

What we offer

Competitive salary and equity in a hyper-growth business
Strong in person culture
18 days annual leave a year + public holidays

Fulltime

Artificial intelligence-assisted Reliability Engineer Intern

Amazon development center develops innovative consumer-centric safety total solu...

Location

Taiwan , Taipei

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Enrolled in or have completed a Master's degree or above in engineering or equivalent
Speak, write, and read fluently in Mandarin
Currently enrolled in a master’s program in Computer Science, Electrical Engineering, Chemical Engineering, Mechanical Engineering, or related field with focus on deep learning and computer vision
Programming experience in C++ and Python
Experience in implementing computer vision algorithms using multiple toolkits
Proficient in both English and Chinese

Job Responsibility

Develop and implement novel machine learning algorithms, focusing on computer vision and generative AI applications
Design and optimize scalable AI systems for large-scale datasets, ensuring high performance and accuracy
Apply state-of-the-art Machine Learning and AI research to solve complex reliability challenges and product lifespan projection
Create clear technical documentation and reports to effectively communicate concepts and results
Work closely with senior reliability engineers in reporting reliability execution progress, and failure analysis
Participate in evaluating and developing reliability test methodologies to reduce test time and increase test coverage

Parttime

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