33 Vacatures voor Machine Learning Engineering in de Nederland

Description
AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us!
Key job responsibilities
As Team Manager, you will be responsible for:
- Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality
- Support hiring and training of new Associates
- Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis
- Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities
- Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies
- Track quality and utilization metrics
- File and track tickets, following up on blocks to productivity
- Provide regular, formal & informal feedback to direct reports
- Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean
A day in the life
We are seeking an experienced team manager to join our operations in The Hague to develop, manage, and support our Data Services team with speech and language solutions.
About the team
The AGI-DS organization provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI. We work closely with Amazon Machine Learning (ML) Science and modelling teams, providing the critical data they need to improve Alexa's speech recognition and language understanding capabilities.
Basic Qualifications
- Bachelor Degree (any subject) or advanced college education or experience in a Leadership or related position with management
- Proficiency verbal and written communication in Dutch and English
- Experience in understanding performance metrics and developing them to measure progress against key performance indicators
Preferred Qualifications
- Experience with process improvement/quality control tools and methods
- Demonstrated ability to lead talent within a team, work cross-functionally, and build consensus on difficult issues
- Excellent communication, strong organizational skills and very detail-oriented
- Strong interest in hiring and developing people in their respective roles
- Leadership experience in coaching and performance management
- Experience in managing process and operational escalations
- Experience with aspects of speech and language technology
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 transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
This is a part-time role with a fixed term contract.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in Dutch and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of Dutch and U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
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 transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Contract Type: Fixed term contract
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- CEFR C1 or equivalent fluency in German language
- Written and spoken knowledge of English is essential (CEFR C1)
- Strong understanding of Dutch and U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
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 transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us!
Key job responsibilities
As Team Manager, you will be responsible for:
- Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality
- Support hiring and training of new Associates
- Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis
- Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities
- Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies
- Track quality and utilization metrics
- File and track tickets, following up on blocks to productivity
- Provide regular, formal & informal feedback to direct reports
- Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean
A day in the life
We are seeking an experienced team manager to join our operations in The Hague to develop, manage, and support our Data Services team with speech and language solutions.
About the team
The AGI-DS organization provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI. We work closely with Amazon Machine Learning (ML) Science and modelling teams, providing the critical data they need to improve Alexa's speech recognition and language understanding capabilities.
Basic Qualifications
- Bachelor Degree (any subject) or advanced college education or experience in a Leadership or related position with management
- Proficient verbal and written communication in German and English (C1+)
- Experience in understanding performance metrics and developing them to measure progress against key performance indicators
Preferred Qualifications
- Experience with process improvement/quality control tools and methods
- Demonstrated ability to lead talent within a team, work cross-functionally, and build consensus on difficult issues
- Excellent communication, strong organizational skills and very detail-oriented
- Strong interest in hiring and developing people in their respective roles
- Leadership experience in coaching and performance management
- Experience in managing process and operational escalations
- Experience with aspects of speech and language technology
- Fluent in Dutch, French or Italian
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 transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Amazon is looking for a Data Associate Translator (Dutch and English) to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that is complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
This is a Fixed term contract
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in Dutch and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of Dutch and U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
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 transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on!
Key job responsibilities
- Maintain and follow strict confidentiality as customer privacy is our most important tenet
- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis
A day in the life
We are looking for a Data Entry Clerks to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- An Associate's Degree or related work experience
- CEFR C1+ or equivalent fluency in Dutch language
- Written and spoken knowledge of English is essential (CEFR C1+)
- Strong business writing skills with ability to create reports, proposals, and professional correspondence
- Advanced reading comprehension with ability to analyze complex business documents
- Developed analytical thinking and structured problem-solving capabilities
- Strong ability to interpret and implement detailed instructions across various projects
- Proficient research skills with experience gathering and synthesizing information from multiple sources
- Proven attention to detail in managing complex tasks and documents
Preferred Qualifications
- Bachelor's degree in a relevant field
- Proven experience with demonstrated task execution ability
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- Proven project coordination or management experience (for support functions teams)
- Experience managing stakeholder relationships across departments
- Advanced proficiency in Microsoft Office Suite and common business applications.
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 transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on!
Key job responsibilities
- Maintain and follow strict confidentiality as customer privacy is our most important tenet
- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- An Associate's Degree or related work experience
- CEFR C1+ or equivalent fluency in Dutch language
- Written and spoken knowledge of English is essential (CEFR C1+)
- Strong business writing skills with ability to create reports, proposals, and professional correspondence
- Advanced reading comprehension with ability to analyze complex business documents
- Developed analytical thinking and structured problem-solving capabilities
- Strong ability to interpret and implement detailed instructions across various projects
- Proficient research skills with experience gathering and synthesizing information from multiple sources
- Proven attention to detail in managing complex tasks and documents
Preferred Qualifications
- Bachelor's degree in a relevant field
- Proven experience with demonstrated task execution ability
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- Proven project coordination or management experience (for support functions teams)
- Experience managing stakeholder relationships across departments
- Advanced proficiency in Microsoft Office Suite and common business applications.
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 transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
**About Thermo Fisher Scientific**
Thermo Fisher Scientific is a world-class company that is committed to enabling our customers to make the world healthier, cleaner, and safer. As a global leader in scientific research, we are dedicated to solving complex scientific challenges, driving technological innovation, and supporting patients in need. With a team of over 100,000 colleagues, we value the diverse experiences, backgrounds, and perspectives that each individual brings. Our common set of values - Integrity, Intensity, Innovation, and Involvement - guide us in our pursuit of excellence.
**Intern - Application of Deep Learning in 3D Visualization and Analysis Software (Life Sciences)**
Become a part of our dynamic team as an intern and develop hands-on expertise in applying Deep Learning in 3D Visualization and Analysis Software. This exceptional opportunity will involve working on innovative projects that harness the potential of Deep Learning to transform the field of 3D visualization and analysis.
**Job Responsibilities**
+ Collaborate with a team of researchers and developers to explore the application of deep learning in 3D visualization and analysis software for the Life Sciences.
+ Support in creating and implementing advanced deep learning algorithms to enhance the performance of our software.
+ Conduct extensive testing and evaluation to ensure the flawless performance of the developed algorithms.
+ Contribute to the development of innovative solutions for complex scientific challenges.
+ Work closely with cross-functional teams to determine customer requirements and successfully implement them into the software.
**Job Requirements**
+ Currently pursuing a degree in the Life Sciences, Engineering, Computer Science, or a related field.
+ Strong knowledge of deep learning algorithms and frameworks.
+ Experience with 3D visualization and analysis software is a plus.
+ Proven ability to work in a collaborative and interdisciplinary environment.
+ Eager and driven to learn and contribute to innovative research projects
**Why Join Our Team**
At Thermo Fisher Scientific, we are proud to offer an exceptionally inclusive and collaborative work environment. As an intern, you will have the opportunity to work alongside world-class researchers and developers, gaining valuable hands-on experience in a dynamic and innovative industry. We provide a supportive and nurturing atmosphere that encourages personal and professional growth. Join us and be a part of our mission to accelerate research, drive technological innovation, and make a positive impact on the world.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
**About Thermo Fisher Scientific**
Thermo Fisher Scientific is a world-class company that is committed to enabling our customers to make the world healthier, cleaner, and safer. As a global leader in scientific research, we are dedicated to solving complex scientific challenges, driving technological innovation, and supporting patients in need. With a team of over 100,000 colleagues, we value the diverse experiences, backgrounds, and perspectives that each individual brings. Our common set of values - Integrity, Intensity, Innovation, and Involvement - guide us in our pursuit of excellence.
**Intern - Application of Deep Learning in 3D Visualization and Analysis Software (Materials Science)**
Become a part of our dynamic team as an intern and develop hands-on expertise in applying Deep Learning in 3D Visualization and Analysis Software. This exceptional opportunity will involve working on innovative projects that harness the potential of Deep Learning to transform the field of 3D visualization and analysis.
**Job Responsibilities**
+ Collaborate with a team of researchers and developers to explore the application of deep learning in 3D visualization and analysis software for Materials Science.
+ Support in creating and implementing advanced deep learning algorithms to enhance the performance of our software.
+ Conduct extensive testing and evaluation to ensure the flawless performance of the developed algorithms.
+ Contribute to the development of innovative solutions for complex scientific challenges.
+ Work closely with cross-functional teams to determine customer requirements and successfully implement them into the software.
**Job Requirements**
+ Currently pursuing a degree in Materials Science, Engineering, Computer Science, or a related field.
+ Strong knowledge of deep learning algorithms and frameworks.
+ Experience with 3D visualization and analysis software is a plus.
+ Proven ability to work in a collaborative and interdisciplinary environment.
+ Eager and driven to learn and contribute to innovative research projects.
**Why Join Our Team**
At Thermo Fisher Scientific, we are proud to offer an exceptionally inclusive and collaborative work environment. As an intern, you will have the opportunity to work alongside world-class researchers and developers, gaining valuable hands-on experience in a dynamic and innovative industry. We provide a supportive and nurturing atmosphere that encourages personal and professional growth. Join us and be a part of our mission to accelerate research, drive technological innovation, and make a positive impact on the world.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.