14 Jobs für Positionen Im Bereich Natural Language Processing in Schweiz

**Job Description**
**Location: Italy, Switzerland or Belgium**
**Languages: English, Italian and/or German**
Are you passionate about changing lives through technology? So are we and we want to get to know the real you, not just your previous work experience. That way you're free to use every part of what makes you unique to learn, grow, and succeed. In return, we'll help you find your calling and kick-start an extraordinary career.
Generation Oracle (GenO) is Oracle's brand new career development initiative, focused on identifying and advancing early-in-career and returnship talent through a tailored Sales, Solution Engineering and Consulting programme. GenO delivers learning, continuous development and clear, accessible career paths whilst offering the opportunity to influence and help steer our business into the future.
**Join us as a Data Scientist**
If the thought of getting hands on with data, solving challenges and building innovative solutions using the latest data science technology puts a smile on your face, this is the role for you!
Work with an experienced team of data scientists to push the boundaries of what is technically possible in our customers.
**What you'll bring**
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
Proficiency in programming languages such as SQL and Python.
Experience with open-source tools and libraries such as pandas, Matplotlib, scikit-learn, TensorFlow, XGBoost, Jupyter, Anaconda, and GitHub.
Understanding of database fundamentals and concepts.
Familiar with the steps involved in the data science lifecycle including data preparation, machine learning and data visualization.
Strong problem-solving skills.
Excellent communication and interpersonal skills.
Confidence in presenting to stakeholders internally & externally.
Ability to work independently as well as part of a team.
Innovative mindset with a goal to solve challenges.
**What we'll give you**
· Significant investment in your professional development via training, mentoring and a social network of resources and thought leaders inside Oracle.
· Fun and flexible work for the ideal work-life balance.
· An inspiring, inclusive, and multicultural community that values fresh perspectives.
· A defined career progression based on annual performance and personal development.
· The opportunity to engage with a variety of customers in multiple areas.
· Competitive pay and excellent benefits that will help you do your best work.
+ #LI-BS1
**Responsibilities**
**What you'll do**
+ Work collaboratively with customer data science teams to understand their challenges and build innovative solutions.
+ Work with the latest Oracle Cloud technology to develop, demo & present product features & solutions to a wide range of stakeholders.
+ Leading the way as a Data Scientist in domains such as data science, machine learning, vector search, graph and spatial.
+ Opportunity to participate in internal and external events as a Data Science expert.
+ Stay up to date with the latest ground-breaking trends within the world of AI.
Career Level - IC1
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

For our client, one of the leading pharmaceutical companies, we are looking for a candidate with a Master's or PhD in Computer Science, Data Science, Statistics, Linguistics or equivalent experience and a minimum of one year of industry experience in machine learning. The ideal candidate should have knowledge in ML and engineering, and have demonstrated the capability of self-organized research. No knowledge in sensor production and process engineering is required, but interest would be greatly appreciated. Additionally, we are looking for someone with good communication skills who can effectively communicate technical concepts to both technical and non-technical audiences and speak German and English fluently.

General Information:

• Start date: asap
• Latest Start Date:
• Planned duration: 12 months
• Extension: possible
• Workplace: Rotkreuz
• Workload: 70-100%
• Home Office: Yes, up to 2 days per week

Tasks & Responsibilities:

• Solve core ML and data engineering challenges, handling model deployment and relevant backend/frontend engineering; as well as model evaluation, and fine-tuning.
• Develop methods for semantic interpretation and automated redundancy removal of proprietary documents.
• Devise experiments to help our understanding of a good knowledge base for LLM Agents.
• Build pipelines that span data collection, document preparation and preprocessing, RAG implementation and LLM evaluation for different internal applications and use cases
• Benchmark and evaluate optimization techniques to ensure efficiency and performance.
• Familiarize yourself with diverse document sources and formats.
• Measure and analyze the pipeline's performance, providing data-driven insights for improvement.
• Work closely with cross-functional teams, communicating results clearly to key stakeholders across RDI Operations to ensure the product's reliability and project success.

Must Haves:

• MS/PhD in Computer Science, Data Science, Statistics, (Computational) Linguistics or related fields
• Min. one year of industry experience in machine learning or related fields
• Demonstrated technical capabilities in deploying and evaluating machine learning models in production environments or in ML/LLM research 
• Strong programming skills in Python and deep learning frameworks such as PyTorch, Tensorflow, JAX 
• A dynamic and resilient individual who is open to work in an evolving project environment, taking initiative to shape the project, continuously learning and adapting to new challenges and opportunities 
• Good communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences
• Fluent in German and English
• Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work permit holders for Switzerland.

Your application

Please apply online. For further information about the position, please contact your Gi Group recruiter, Mrs. Anh Nguyen ( ).

About Gi Group

Gi Group is part of Gi Group Holding, a global ecosystem of HR services and consulting that supports the development of the labour market and helps to change people's lives in 37 countries around the world.

In Switzerland we operate with the brands Gi Group, Grafton, BauTech, Gi Life Sciences and former Kelly Services. We are active in temporary, permanent and professional staffing as well as in a variety of complementary HR Services. With a direct presence in 35 locations across Switzerland and over 250 employees, we are one of the leading staffing companies in the Swiss recruitment market.

Gi Group is specialist for Temporary and Permanent staffing and your valuable partner for many other HR Solutions. We are changing lives by connecting candidates with companies, and we work every day to create value. Your Job, Our Work.

Branche: Pharma-Industrie

Funktion: Technologie/EDV

Anstellungsart: Temporäre Arbeit

**Summary:**
The Reality Labs team at Meta is looking for Computer Vision Researchers to support our Spatial AI team as we build towards our goal to transform the way people come together to interact, work and play.We explore, develop and deliver cutting-edge technologies that serve as the foundations for the current and future Reality Labs products including VR, AR, smart-glasses, AI agents, and robotics. We are committed to driving the state-of-the-art forward through innovation across ML perception in 2D and 3D, for both primitives (e.g. depth, segmentation, and semantic keypoints) as well as high-level (e.g. shape inference, 3D reconstruction, context/semantic understanding). The ideal candidate will help us develop the next generation of spatial and contextualized AI, and lay the foundations for a new computing paradigm that is built from the ground up to understand the physical world from egocentric devices. We are looking for experts in areas such as vision-language models, agentic AI, learning from demonstration, and representation learning.The potential to change the world is immense -- and we're just getting started. We encourage you to apply and join us!
**Required Skills:**
Computer Vision/Machine Learning Research Scientist (Spatial AI) Responsibilities:
1. Design and development of novel machine learning algorithms to solve problems in areas such as: vision-language models, agentic AI for multimodal systems, foundation models, 3D reconstruction with deep learning methods, depth estimation, semantic segmentation, 2D and 3D semantic key point detection, and object tracking
2. Define, build, and benchmark new capabilities needed for the next generation of AI
3. Communicate cross-functionally
4. Drive the team's goals and technical direction to pursue technical opportunities
5. Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production
**Minimum Qualifications:**
Minimum Qualifications:
6. PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Natural Language Understanding, or equivalent practical experience
7. Significant industry experience in relevant areas
8. Leadership experience driving high-risk, high reward projects scientifically, including managing a team of research scientists and communicating to leadership
9. Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at conferences such as CVPR, ICCV, NeurIPS, or similar
10. Experience handling concurrent projects where timelines may be ambiguous or changing, and prioritizing by balancing required effort with resulting impact
11. Experience in Python
**Preferred Qualifications:**
Preferred Qualifications:
12. Experience with distributed systems or on-device algorithm development
13. Experience communicating research for public audiences of peers
14. Experience working and communicating cross-functionally in a team environment
15. Significant industry experience in relevant robotics related research areas, preferably large multimodal models, agentic AI, 3D reconstruction with deep learning methods
16. Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentorship
17. Experience with deep learning frameworks (such as pytorch, tensorflow) and Python
18. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
**Industry:** Internet

**Summary:**
Facebook is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like

**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
+ 1 year of experience implementing core machine learning concepts.
**Preferred qualifications:**
+ 1 year of experience with data structures or algorithms.
+ Ability to think of new creative approaches to problems and help our users.
+ Ability to develop new, user-facing products.
+ Excellent team-work spirit skills.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
**Responsibilities:**
+ Conduct an in-depth analysis of model prompting/training and serving performance to find areas of efficiency while maintaining quality.
+ Collaborate with Research team partners in Google.
+ Develop web guide, a result-first AI experience for Search.
+ Focus on the quality aspects of the product this means prompting and distilling the latest Gemini models.
+ Write AI raters, running and analyzing evaluations, and launching improved versions of Web Guide.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.
Key job responsibilities
Design and implement complex, scalable, and secure AWS solutions tailored to customer needs.
Collaborate with stakeholders to gather requirements and propose effective migration strategies.
Providing technical guidance and troubleshooting support throughout project delivery.
Act as a trusted advisor to customers on industry trends and emerging technologies.
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
3+ years of AI and ML experience and data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of cloud architecture and implementation.
Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment.
Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts.
Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
Knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets.
Preferred Qualifications
AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation)
AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect Professional) preferred.
Experience with automation and scripting (e.g., Terraform, Python).
Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training,and implementation of AI systems.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.
Key job responsibilities
Design and implement complex, scalable, and secure AWS solutions tailored to customer needs.
Collaborate with stakeholders to gather requirements and propose effective migration strategies.
Providing technical guidance and troubleshooting support throughout project delivery.
Act as a trusted advisor to customers on industry trends and emerging technologies.
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
PhD, or Master's degree and 5+ years of applied research experience
3+ years of building machine learning models for business application experience
Experience with programming in Java, Python or related language
Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with LLM pre-training, fine-tuning, and evaluations
Familiarity with distributed training and acceleration method/implementation/library for LLMs or large-scale ML in general, e.g., DeepSpeed, Nemo-Megatron, PyTorch Lightning.
science backgrounds demonstrated by degrees in fields such as:
Mathematics
Statistics
Physics (various specializations)
Molecular Biology
Neuroscience
Experience manipulating large datasets using RDBMS or SQL-on-Hadoop technologies, and be familiar with machine learning or statistical libraries like SparkML, scikit-learn, caret, mlr, and MLlib
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.
Key job responsibilities
Design and implement complex, scalable, and secure AWS solutions tailored to customer needs.
Collaborate with stakeholders to gather requirements and propose effective migration strategies.
Providing technical guidance and troubleshooting support throughout project delivery.
Act as a trusted advisor to customers on industry trends and emerging technologies.
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
3+ years of AI and ML experience and data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of cloud architecture and implementation.
Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment.
Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts.
Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
Knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets.
Preferred Qualifications
AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation)
AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect Professional) preferred.
Experience with automation and scripting (e.g., Terraform, Python).
Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training,and implementation of AI systems.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and

**Minimum qualifications:**
+ PhD degree in Computer Science, or a related field, or equivalent practical experience.
+ 2 years of experience programming with Python.
+ Experience with large language models.
+ Having published papers (being listed as author) at conferences (e.g., NIPS, ICML, ACL, CVPR, etc).
**Preferred qualifications:**
+ First author publications at target conferences (NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, USENIX Security, IEEE S&P, ACM CCS) in the field of synthetic data generation.
+ Experience in designing, implementing, and scaling AI systems, with a focus on beam-like pipelines.
+ Experience in designing and developing high-quality user/developer-facing Application programming interfaces (APIs).
+ Significant research experience with LLMs and understanding of their capabilities and limitations.
+ Proven track record of delivering AI models, tools, or frameworks.
+ Excellent communication and teamwork skills for effective collaboration with partners.
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
**Responsibilities:**
+ Develop and evaluate novel algorithms for various synthetic data generation, across modalities (text, images, audio, etc.)
+ Design and conduct experiments to assess the quality and effectiveness of synthetic data in training and evaluating AI models.
+ Use beam-like pipelines to handle massive datasets and enable efficient data generation at scale.
+ Stay up-to-date with the latest research in Large Language Models (LLMs) and synthetic data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: