PhD AI Research Intern Job at Atlassian

AI Research Intern

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

Location

United States , San Francisco

Salary:

55.00 - 66.00 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 with an anticipated degree completion date between September 2025 - June 2026
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques.

Job Responsibility

Collaborate with Research Scientists and Machine Learning Engineers
Contribute to the design and execution of research experiments
Curate, preprocess, and manage large datasets for training and evaluation
Execute continued training and alignment of LLMs
Evaluate advanced ML algorithms
Publish research in internal and external industry workshops and academic journals.

What we offer

health coverage
paid volunteer days
wellness resources

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 Research Lab Research Associate

We are currently seeking highly qualified interns to accelerate research towards...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

May 26, 2026

Requirements

Pursuing PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, math, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience in deep learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Strong programming skills and experience with Python, C/C++, and preferably Java
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Experience in Deep Learning and Machine Learning frameworks and models like Tensorflow, PyTorch
Experience in Transformer Neural Network architectures for Generative AI and natural language processing
Experience with Agentic AI and Generative AI workflows - desired

Job Responsibility

Conduct research and come up with solutions with a fast turnaround time
Build the software and applications for Neural Networks and Machine Learning
Work with system programming, Deep Learning frameworks and models, GPU acceleration, Model optimization, real-time streaming data, distributed computing, and deployment
Provide thought leadership and technical influence both internally and externally to HPE
Collaborate with HPE Labs research teams as well as external partners
Work in alignment with HPE's broader innovation community.

What we offer

Health & Wellbeing benefits including physical, financial and emotional wellbeing support
Personal and professional development programs
Unconditional inclusion and flexibility to manage work and personal needs.

Fulltime

PhD Student AI Innovations

How do you imagine the car of the future - intuitive, connected, personal? And w...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in computer science, business informatics, industrial engineering or a related field
extensive knowledge in the field of artificial intelligence, data analysis, statistics, human machine interface and user experience required
sound programming skills, preferably in Python, C++, R, MATLAB
strong initiative, willingness and ability to work in a team and structured way of working
strong communication and presentation skills
English language level B2 and German language level C1

Job Responsibility

Researching the current state of the art in the areas of embedded LLMs, SLMs, edge-to-cloud deployments, multimodal LLMs and action models
deriving legislative, safety-critical and geographical requirements for processing data in the automotive context, e.g. on the basis of use cases
developing architectural concepts for data processing onboard and in-cloud, taking into account hardware requirements, implementing an assistant that processes static and dynamic driver-vehicle environment information including acoustic, haptic and visual input as well as a framework and a software architecture
implementing and applying the concepts on defined hardware, conducting empirical investigations as well as evaluating and classifying the concepts
documenting and preparing research results for internal stakeholders and the scientific community

What we offer

Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
special conditions for the purchase and leasing of vehicles
free seminars on scientific work and interdisciplinary qualifications
participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

Fulltime

PhD Student Generative AI Autonomous Process Planning Systems

As a PhD candidate in our program, you will have the unique opportunity to join ...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in Computer Science, Information Systems, Industrial Engineering, or a related field
Solid expertise in data analysis, statistics, machine learning, and artificial intelligence
In-depth knowledge in the field of operations research and mathematical optimization
Practical experience with programming languages such as Python, R, MATLAB, or similar tools for implementing AI models and optimization algorithms
English language level B2 and German language level C1
Strong team spirit, commitment, and initiative

Job Responsibility

Developing and training a generative AI model for automated process planning, including the mathematical modeling of requirements in assembly line balancing problems and linking with mathematical optimization methods
Creating AI algorithms: Designing and programming advanced algorithms to optimize manufacturing processes in close coordination with the IT department
Implementing pilot projects: Executing and evaluating pilot projects at selected production sites to validate the developed methods
Collaborating with industry experts: Regular exchange and collaboration with industrial engineers and process planners to tailor solutions to specific needs
Documenting and presenting results: Preparing research findings for internal stakeholders and for presentation at scientific conferences

What we offer

Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

Fulltime

Research Program Manager

At Furhat Robotics we believe robots, done right, can have an incredible impact ...

Location

Sweden , Stockholm

Salary:

Not provided

Furhat Robotics

Expiration Date

Until further notice

Requirements

PhD in robotics, AI, cognitive science, computer science, or related fields
3+ years of experience in research project coordination, preferably within EU-funded programs (can be during doing your PhD)
Prior experience in academia or at a research-intensive company/startup
Experience with grant proposal preparation and academic consortium management
Experience setting up and supervising successful Master's student theses
Strong organizational and communication skills
Excellent English (written and spoken)
Interest in human-robot interaction, AI, and social technologies

Job Responsibility

Manage active EU-funded projects (e.g. Horizon Europe, Marie Skłodowska-Curie, etc)
Coordinate reporting, deliverables, and partner communication
Oversee project budgets, timelines, and compliance with funding rules
Represent Furhat in consortium meetings and reviews
Prepare and submit project reports, financial summaries, and audits
Supervise or co-supervise staff (PhD and Masters students)
Develop and maintain relationships with academic labs and scientific institutions using Furhat
Track and report research publications, thesis projects, and new use cases involving Furhat robots
Identify and support promising research groups with technical and community assistance
Supervise and coordinate MSc thesis students and research interns hosted at Furhat

Research Associate

The role involves accelerating research towards new applications, core methodolo...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

May 26, 2026

Requirements

Pursuing a PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. electrical engineering, computer science, machine learning, applied physics, mathematics, statistics, etc.)
Track record of world-class innovative contributions and ideas in AI/ML and/or related areas
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience with in-memory computing accelerators
Experience with micro architecture design for custom accelerators
Experience in deep learning research, algorithms, and data structures
Experience in design and test of custom integrated circuit IP for AI/ML applications
Experience with emerging analog memory devices for computing applications such as memristor, ReRAM, PCM, and others
Experience in system software, GPU acceleration, DL model execution and performance optimization
Self-motivated, proactive, with leadership qualities

Job Responsibility

Investigation of high-performance accelerators which combine CMOS and emerging ReRAM device technologies (or memristors) for computing applications including machine learning, neuromorphic computing, network security, finite automata, and other novel computational models
Design of prototype systems and/or integrated circuits
Invention of new architectures, circuits, and/or devices to take advantage of physical hardware systems for acceleration of target computations
Operation of existing hardware platforms
Performance evaluations with competing systems
Provide thought leadership and technical influence both internally and externally to HPE
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Collaborate with HPE Labs research teams as well as with external partners
Work in alignment with HPE's broader innovation community

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Programs catered to helping employees reach career goals
Unconditional inclusion in work environment

Fulltime

Principal Applied Researcher AI/NLP

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

United States

Salary:

195800.00 - 217500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

PhD or comparable level of experience in Computer Science, Math, Physics, Engineering or a related field
4-10+ year industry experience building solutions in commercial SaaS, including at least 4 years working in applications of NLP, Search or AI/ML technologies for healthcare
Strong interest in applying AI/ML/NLP to healthcare related problems and data
Expert-level practical, hands-on experience developing and applying a wide range of techniques in Natural Language Processing, including fine tuning of LLMs and other Transformer models, plus one or more additional AI/ML or Search related areas of expertise to solve real-world problems at scale
Demonstrated ability to lead and perform research and experimentation to select appropriate approaches, algorithms, evaluation methods, and frameworks, as well as tasks such as feature selection, language modeling, evaluation and fine tuning or training models, applying standard approaches or developing new tools or workflows as needed to meet project requirements
Significant experience building and deploying AI/machine learning and NLP models for large-scale SaaS products, including familiarity with industry standard software development concepts such as scaling issues, version control, CI/CD pipelines, and security
Solid understanding and experience with transformer models and multiple kinds of NLP and ML models and approaches including logistic regression, random forest, ensemble methods, SVM, KNN, reinforcement learning, and other ML techniques
Proficiency in Python and Java required. Proficiency in JavaScript or TypeScript and modern UI frameworks for building prototype or tool front ends desired
Proficiency doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL
Proficiency building models from big data using modern packages, models and data analysis stacks such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, Keras, LightGBM, fastText, NLTK, and spaCy. Proficiency fine tuning Hugging Face Transformers required

Job Responsibility

You will be applying NLP including GenAI and other AI/ML techniques to develop model systems and solutions, collaborating across functions to scale and integrate advanced solutions into successful end user experiences in large-scale cloud based SaaS production environments for healthcare
You will be working with product leaders, clinical informaticists, data scientists, UI/UX researchers and designers, other AI and machine learning and domain experts, engineering teams and others, including work with customers and users who are healthcare professionals
Design, build and evaluate solutions that may involve structured or unstructured data including speech or natural language for healthcare use cases, delivering capabilities such as summarization, predictive models, recommenders, semantic search, extraction, classification or other NLP, AI or machine learning based techniques
You will be performing research and experimentation to select appropriate approaches, algorithms, evaluation methods and frameworks and doing the R&D to deliver model systems
You will perform, oversee and assist in data collection, data cleaning, data analysis, algorithm selection or design, prompt tuning, parameter fine tuning, training, development and evaluation of systems that deliver responsible AI solutions at scale, using existing or developing new tools or workflows as needed
As a principal applied researcher, you will bring deep technical expertise and also provide mentorship on advanced AI, NLP, data science, statistical and machine learning methods and technologies, helping the organization develop new capabilities for innovative solutions
You will have substantial independence and responsibility from day one

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

PhD AI Research Intern

Atlassian

Location:
Canada

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 27, 2025

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