CrawlJobs Logo

Research Scientist, AI/ML (PhD)

meta.com Logo

Meta

Location Icon

Location:
Switzerland , Zurich

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Ads is the largest revenue generator at Meta and Ads Quality represents around 20% of total revenues which are used to generate long term ads and organic engagement. Core Ads Quality is a unique team jointly optimizing for both quality and revenue, aiming at making this investment more revenue / quality trade-off efficient and generate long term revenue growth through user learning.

Job Responsibility:

  • Apply relevant AI and machine learning techniques to build Ads auction/user behaviour treatments
  • Develop novel, accurate AI algorithms and advanced systems for large scale applications
  • Work towards long-term ambitious production goals, while identifying intermediate milestones
  • Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results
  • Work with large data, and contribute to development of large scale foundation models
  • Design methods, tools, and infrastructure to push forward the state of the art in AI

Requirements:

  • Currently has or is in the process of obtaining a PhD in Artificial Intelligence (AI), Computer Science, or a related technical field
  • Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++
  • Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use

Nice to have:

  • Experience in Reinforcement Learning, GenAI, Large Language Models, etc
  • Experience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)
  • Experience in User Behaviour modellling, Long-term Value optimization or Causal Learning

Additional Information:

Job Posted:
January 26, 2026

Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Research Scientist, AI/ML (PhD)

Senior Silicon Photonics Research Scientist

The Large-Scale Integrated Photonics Laboratory at Hewlett Packard Labs has an i...
Location
Location
United States , Santa Barbara
Salary
Salary:
115500.00 - 266000.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Must hold a PhD in Physics, Electrical Engineering, Materials
  • 5+ years (after completion of PhD) of hands-on experience in integrated photonics research
Job Responsibility
Job Responsibility
  • Conduct novel high-impact research in the field of optical accelerators for AI/ML applications using heterogeneous integration of III-V and other materials (such as ITO) on Si and SiN
What we offer
What we offer
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Specific programs catered to helping you reach career goals
  • Unconditional inclusion in the way we work and celebrate individual uniqueness
  • Fulltime
Read More
Arrow Right

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...
Location
Location
Canada
Salary
Salary:
55.00 USD / Hour
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
  • Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Job Responsibility
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
What we offer
  • health and wellbeing resources
  • paid volunteer days
Read More
Arrow Right

Research Scientist - Generative AI

As a Research Scientist in the Emergent Machine Intelligence Team at Hewlett Pac...
Location
Location
United States , Santa Barbara
Salary
Salary:
101900.00 - 234500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
  • 3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
  • Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
  • Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
  • Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
  • Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
  • Creative and analytical thinking abilities, with a passion for solving complex problems
  • Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences.
Job Responsibility
Job Responsibility
  • Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
  • Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
  • Developing and prototyping novel algorithms for fine-tuning, retrieval augmented generation, and in-context learning for various generative models
  • Developing algorithms for training and inference in Energy-Based Models
  • Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
  • Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
  • Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
  • Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
  • Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
  • Engage with the academic community by attending conferences, workshops, and seminars.
What we offer
What we offer
  • A competitive salary and extensive social benefits
  • Diverse and dynamic work environment
  • Work-life balance and support for career development.
  • Fulltime
Read More
Arrow Right

Research Scientist - Generative AI

This role involves conducting high-quality research in generative AI, designing ...
Location
Location
United States
Salary
Salary:
101900.00 - 234500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
  • 3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
  • Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
  • Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
  • Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
  • Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
  • Creative and analytical thinking abilities, with a passion for solving complex problems
  • Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
  • Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
  • Developing and prototyping novel algorithms for fine-turning, retrieval augmented generation, and in-context learning for various generative models
  • Developing algorithms for training and inference in Energy-Based Models
  • Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
  • Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
  • Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
  • Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
  • Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
  • Engage with the academic community by attending conferences, workshops, and seminars
What we offer
What we offer
  • A competitive salary and extensive social benefits
  • Diverse and dynamic work environment
  • Work-life balance and support for career development
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...
Location
Location
United States , Seattle
Salary
Salary:
49.00 - 75.00 USD / Hour
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • health and wellbeing resources
  • paid volunteer days
Read More
Arrow Right

AI Research Intern

Join the cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...
Location
Location
United States , San Francisco
Salary
Salary:
55.00 - 66.00 USD / Hour
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
Read More
Arrow Right

Applied Scientist II

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree
  • 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields
  • Should be an expert in either Computer Vision or NLP and have a good understanding of the both
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
Read More
Arrow Right