Research Scientist Intern, Code Generation Job at Meta (Paris)

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

Senior Machine Learning Scientist (Generative AI)

About Viator: Viator, a Tripadvisor company, is the leading marketplace for trav...

Location

United Kingdom; Poland

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

5+ years of hands-on data science experience
At least 2 years of experience with LLM
Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring
In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
Strong skills in SQL
Strong skills in at least one programming language
Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments
Experience in deploying online solutions and analysing real-time results through A/B testing
Passionate about mentoring junior members of the team
Leadership qualities, autonomy, and team collaboration skills

Job Responsibility

Research, prototype, and productionize generative AI models
Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content
Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs
Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning
Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops
Understanding use cases for Agentic AI communicating your findings with the wider ML team and product
Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs
Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications
Stay up to date with the latest in GenAI research and help shape internal best practices
Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus
“Work your way” with flexibility to suit your lifestyle
Flexible schedule
Donation matching
Tuition assistance
Lifestyle benefit (annual benefit to spend on yourself)
Travel perks
Employee assistance program
Health benefits

Research Scientist Intern, FAIR Chemistry

Meta is seeking Research Interns to join the FAIR Chemistry team. The Chemistry ...

Location

United States , Menlo Park

Salary:

7650.00 - 12134.00 USD / Month

Applied Scientist 2

We’re building the next-generation Grounding Service that powers the latest AI a...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
Minimum of 2 years of hands-on experience designing and building search, retrieval, or ranking systems.
Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.
Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively.
Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.

Job Responsibility

Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images.
Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs.
Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems.
Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property.
Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively.
Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work.
Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols.
Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.

Fulltime

New

Principal Scientist – Research Computational Biology

Join Amgen’s Mission of Serving Patients. The ARIA Computational Biology team is...

Location

United States

Salary:

168490.00 - 202962.00 USD / Year

Amgen

Expiration Date

February 16, 2026

Requirements

Doctorate in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable] and 2 years of computational biology experience
Master’s degree and 5 years of computational biology experience
Bachelor’s degree and 7 years of computational biology experience
Strong research background in cardiometabolic disease and/or immunology, including mechanistic characterization of disease biology using multi-modal single-cell data
Proven track record of driving programs or platforms that have materially impacted discovery or early development decisions
Experience mentoring scientists and setting standards for computational best practices within a team
Ability to integrate portfolio-level business context into research strategy
Strong programming skills (Python, R, Linux/Unix), familiarity with cloud computing environments, HPC, and collaborative coding practices (e.g., Git)
Track record of designing and implementing creative and holistic computational strategies to address challenging research questions
Demonstrated expertise in the analysis and interpretation of single cell omics data

Job Responsibility

Driving extraction of biological insight from complex multi-modal omics and screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses
Developing and leveraging methods/platforms to discover, prioritize, and validate targets across diverse diseases and therapeutic modalities
Innovative research in close partnership with Amgen therapeutic area scientists, spanning both internal pipeline programs and external partnerships
Shaping roadmap priorities with our data science and information systems teams to incorporate tools and analyses developed within ARIA Computational Biology into integrated R&D platforms

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

Research Scientist Intern, Optical System Design

Meta Reality Labs brings together a world-class team of researchers, developers,...

Location

United States , Redmond

Salary:

7313.00 - 12134.00 USD / Month

Senior Applied Scientist

As a Senior AI Applied Scientist for The Customer Service Applications Team, you...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 4+ years of experience in AI/ML, predictive analytics, or research
OR Master’s degree AND 3+ years of experience
OR PhD AND 1+ year of experience
OR equivalent experience
1+ years of experience with generative AI OR LLM/ML algorithms
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
Fine-tune foundation models using domain-specific datasets
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
Contribute to papers, patents, and conference presentations
Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts
Proven programming expertise (e.g., in Python or leveraging AI-first IDEs and SWE agents), with a strong record of building reliable, well-documented research code that drives rapid experimentation, scalable evaluation, and efficient deployment from prototype to production in applied AI research
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact

Fulltime

New

Senior AI Applied Scientist

As a Senior AI Applied Scientist for The Customer Service Applications Team, you...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
Fine- tune foundation models using domain-specific datasets.
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.
Contribute to papers, patents, and conference presentations.
Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.
Proven programming expertise (e.g., in Python or leveraging AI-first IDEs and SWE agents), with a strong record of building reliable, well-documented research code that drives rapid experimentation, scalable evaluation, and efficient deployment from prototype to production in applied AI research.
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.

Fulltime

Research Scientist Intern, Code Generation

Meta

Location:
France , Paris

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 25, 2026

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