Research Scientist Intern PhD, Applied Research Job at Meta (Bellevue)

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

Research Scientist - Privacy Technology

Contribute to leading national research in secure, private and trustworthy digit...

Location

Australia , Sydney; Melbourne; Canberra

Salary:

118000.00 - 127000.00 AUD / Year

CSIRO

Expiration Date

January 26, 2026

Requirements

A PhD in Computer Science, Electrical Engineering, or a related discipline
Demonstrated expertise in one or more of the following areas: AI-driven system resilience, privacy-enhancing technologies, cybersecurity, or trustworthy data analytics
Demonstrated a strong research track record, evidenced by peer-reviewed publications, applied research outputs, or technology demonstrations relevant to AI, security, or privacy
Familiarity with applied research translation, adopting research to real world problems, engineering principles, project management, stakeholder engagement, and collaboration in government or industry contexts will be highly regarded
Strong English writing skills beyond academic publications and understanding writing for non-technical audiences are also advantageous
The ability to work effectively as part of a research team, plus the motivation and discipline to carry out autonomous research

Job Responsibility

Conducting original and applied research in AI-enabled system resilience, data privacy, and secure digital systems, leading to significant scientific outcomes
Integrating AI, data, privacy and security concepts to define and solve complex real-world problems in trustworthy digital systems
Translating research outputs into practical, scalable technologies and engaging with stakeholders to co-design solutions that meet government and industry needs
Communicating research findings through high-quality publications, reports, and presentations, and contributing to proposal and project development
Collaborating effectively within multidisciplinary and regionally dispersed teams across CSIRO and with external partners
Supervising PhD students and contributing to the Data61 scholarship program (where applicable)
Preparing and presenting conference papers and representing CSIRO at national and international forums
Conducting feasibility studies and applying creativity and innovation to explore new research directions
Engaging professionally with clients and delivering high-quality outputs in a timely manner
Contributing to the broader functioning of the PT Group and Data61, and supporting organisational goals

What we offer

15.4% superannuation
Flexible work arrangements
Range of leave entitlements, benefits and career development opportunities

Fulltime

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Research Scientist - Cyber Security

Conduct high-impact research in Data61’s Cybersecurity & Quantum Systems (CQS) G...

Location

Australia , Melbourne; Sydney

Salary:

118000.00 - 127000.00 AUD / Year

CSIRO

Expiration Date

January 26, 2026

Requirements

A PhD in a relevant discipline area, such as security protocols, applied cryptography, or a closely related field or significant work experience in the area of cyber security
High-level written and oral communication skills demonstrated through publications and collaboration with the ability to represent the research team effectively internally and externally, including at national and international conferences, and a range of different audiences
Demonstrated a high level of experience in conducting research activities and prototype development in systems security, more specifically in the areas of critical technologies like AI, Quantum and/or critical infrastructure like 5G/6G, Energy Grid
evidence from the top-tier research publications such as IEEE S&P, ACM CCS, NDSS, and Usenix Security
The ability to work effectively as part of a research team, plus the motivation and discipline to carry out autonomous research
A record of science innovation and creativity in the area of cyber security, plus the ability and willingness to incorporate novel ideas and approaches into scientific investigations

Job Responsibility

Carrying out innovative and impactful cybersecurity research that leads to novel and significant scientific outcomes
Producing high-quality scientific publications, conference papers, patents, and client reports
Engaging professionally with clients, delivering project outputs on time, and representing CSIRO effectively across a range of forums
Supervising PhD students within the Data61 Scholarship Program and supporting new project proposals and student opportunities
Collaborating across multidisciplinary teams within Data61, across CSIRO, and with national and international partners
Undertaking feasibility studies and applying creativity and originality to explore new research directions and emerging technologies
Contributing proactively to the functioning, culture, and objectives of the research team and Data61
Adhering to CSIRO’s Code of Conduct, safety practices, and diversity and inclusion principles
Performing other duties as directed to support organisational and project outcomes

What we offer

15.4% superannuation
flexible work arrangements
a range of leave entitlements, benefits and career development opportunities

Fulltime

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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

New

AI Researcher

This is a role to lead the newly established AI Lab Shanghai, which will operate...

Location

China , Shanghai

Salary:

Not provided

Optiver

Expiration Date

Until further notice

Requirements

PhD or equivalent experience in Computer Science, AI, Machine Learning, or related field
Deep expertise in modern ML techniques (e.g., deep learning, transformers, RL, generative models)
Proven track record of research, publications, or system-level innovation
Comfortable working in ambiguous, open-ended environments
Ability to balance long-term vision with milestone-driven progress
Clear, compelling communicator who can inspire and influence across disciplines
Strong ability to present complex ideas to both technical and non-technical audiences

Job Responsibility

Establish the AI Lab’s technical vision and long-term roadmap aligned with cutting-edge research and internal innovation goals
Build a world-class team of AI researchers, engineers, and applied scientists
Foster a strong culture of experimentation, ownership, and high-impact delivery
Drive exploration into areas such as deep learning, foundation models, generative AI, reinforcement learning, and novel model architectures
Oversee design and deployment of experimental AI systems, both for proof-of-concept and strategic long-term application
Collaborate with domain experts to identify high-value, AI-native opportunities
Attract and mentor top-tier talent from academia and industry
Design internal processes for research sharing, experimentation, and review
Partner with internal stakeholders across research, trading, and technology to ensure alignment where needed while preserving the lab’s independence and vision
Represent the lab externally in the AI community and conferences

What we offer

Competitive compensation and long-term incentives
Access to cutting-edge infrastructure, compute, and proprietary datasets
High-trust, low-bureaucracy environment with exceptional resources

Fulltime

New