Model Compression – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sun, 20 Oct 2024 10:25:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Model Compression – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Applied Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/applied-scientist-3/ Sun, 20 Oct 2024 10:25:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/applied-scientist-3/ Applied Scientist

Job Description:

    We are seeking innovative Applied Scientists to join our dynamic team, focusing on the development of the next generation of discovery systems. In this role, you will collaborate with cutting-edge technologies in Natural Language Processing, Information Retrieval methods, and Large Language Models. Your expertise will be crucial in identifying and solving complex problems by applying advanced methodologies. You will have the opportunity to design and execute long-term scientific strategies to tackle intricate challenges and ensure that our work remains at the forefront of Information Retrieval innovation. Furthermore, you will be responsible for inventing, implementing, and deploying machine learning algorithms and systems aimed at enhancing the performance of foundational models. This position offers the chance to contribute significantly to pioneering advancements in the field.

IT Languages:

  • Java
  • C++
  • Python

As an Applied Scientist, your responsibilities will encompass a range of tasks aimed at pushing the boundaries of discovery systems and enhancing model performance.:

    Develop and refine long-term scientific roadmaps to address complex challenges in the field of Information Retrieval;; Collaborate with teams to invent and implement novel machine learning algorithms and systems;; Optimize the performance of foundational models through various inference optimization techniques;; Conduct research and development to explore new methodologies and technologies in NLP and IR;; Publish findings in top-tier journals and conferences to contribute to the scientific community

Spoken Languages:

  • English;; German

Skillset:

  • Machine Learning
  • Natural Language Processing
  • Information Retrieval
  • Deep Learning
  • Inference Optimization
  • Model Compression
  • High-Performance Computing

Soft Skills:

  • Problem-solving
  • Team collaboration
  • Critical thinking
  • Communication
  • Adaptability

Qualifications:

  • PhD or Master’s degree in Computer Science, Computer Engineering, Machine Learning or a related field
  • Experience with programming hardware accelerators such as GPU, TPU, or Neuron
  • Familiarity with inference optimization of foundational models, including techniques such as model compression, architectural optimization, and system-level optimization
  • Experience with inference engines like vLLM or TGI
  • Knowledge of classical Information Retrieval models including boolean, vector, and probabilistic models is a plus
  • Experience with generative machine learning models
  • Publications or patents in top-tier peer-reviewed conferences or journals
  • Proficiency in programming languages such as Java, C++, Python
  • Understanding of modern deep learning architectures, particularly Transformers
  • Experience with deep learning frameworks such as PyTorch

Years of Experience:

    5

Location:

    Germany

Job Benefits:

  • Competitive salary
  • Flexible working hours
  • Remote work options
  • Professional development opportunities
  • Access to cutting-edge technology and resources

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • Our company fosters a culture of innovation, collaboration, and continuous learning. We believe in empowering our employees to explore new ideas and push the envelope in technology. A supportive and inclusive work environment is at the heart of our operations, encouraging diverse perspectives to drive creativity and problem-solving.

Opportunities For Advancement:

  • Leadership roles in research and development, Opportunities for specialized training and certifications, Potential for cross-department collaborations to enhance skill sets

Visa Sponsorship:

    Available
]]> Bachelor Thesis in Deep Learning https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/bachelor-thesis-in-deep-learning-4/ Sun, 20 Oct 2024 09:05:01 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/bachelor-thesis-in-deep-learning-4/ Bachelor Thesis in Deep Learning

Job Description:

    Join our innovative research institution where we focus on advancing microsystems technology. As a part of our team, you will have the opportunity to work on cutting-edge projects that transform ideas into industry-leading solutions. This position is specifically for a Bachelor thesis in the field of Deep Learning, providing you with an exclusive insight into scientific research and technological development. You will engage in tasks such as creating data labels, training deep learning models, and analyzing data to implement effective augmentation techniques, all while documenting and presenting your findings both internally and externally.

IT Languages:

  • Python
  • C++
  • TensorFlow
  • PyTorch

You will be responsible for various research and development tasks related to deep learning.:

    Creating labels for datasets, including segmentation masks.;; Training and optimizing deep learning models.;; Implementing model compression techniques for embedded device applications.;; Conducting data analysis.;; Exploring data augmentation techniques.;; Documenting and presenting results.

Spoken Languages:

  • English;; German

Skillset:

  • Deep Learning
  • Data Analysis
  • Model Compression
  • Data Augmentation

Soft Skills:

  • Reliable
  • Independent
  • Team-oriented
  • Proactive

Qualifications:

  • Currently enrolled in a Bachelor’s program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or similar engineering fields.
  • Strong knowledge in programming languages and frameworks.

Years of Experience:

    0

Location:

    Germany

Job Benefits:

  • Modern research environment with close industry ties.
  • Diverse career opportunities during and after studies.
  • Flexible working hours and remote work options.
  • Professional training and development support.
  • Health programs and team events.
  • Meal subsidies in the cafeteria.
  • Monthly public transport subsidy.

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • We foster an innovative and collaborative environment where research meets practical application. Our team values creativity and encourages personal growth, making it a dynamic place for students and professionals alike.

Opportunities For Advancement:

  • Potential for further research positions., Opportunities for internships and full-time roles post-graduation.

Visa Sponsorship:

    Available
]]> Applied Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/applied-scientist-2/ Sun, 13 Oct 2024 10:40:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/applied-scientist-2/ Applied Scientist

Job Description:

    We are seeking innovative Applied Scientists to join our dynamic team, focusing on the development of the next generation of discovery systems. In this role, you will collaborate with cutting-edge technologies in Natural Language Processing, Information Retrieval methods, and Large Language Models. Your expertise will be crucial in identifying and solving complex problems by applying advanced methodologies. You will have the opportunity to design and execute long-term scientific strategies to tackle intricate challenges and ensure that our work remains at the forefront of Information Retrieval innovation. Furthermore, you will be responsible for inventing, implementing, and deploying machine learning algorithms and systems aimed at enhancing the performance of foundational models. This position offers the chance to contribute significantly to pioneering advancements in the field.

IT Languages:

  • Java
  • C++
  • Python

As an Applied Scientist, your responsibilities will encompass a range of tasks aimed at pushing the boundaries of discovery systems and enhancing model performance.:

    Develop and refine long-term scientific roadmaps to address complex challenges in the field of Information Retrieval;; Collaborate with teams to invent and implement novel machine learning algorithms and systems;; Optimize the performance of foundational models through various inference optimization techniques;; Conduct research and development to explore new methodologies and technologies in NLP and IR;; Publish findings in top-tier journals and conferences to contribute to the scientific community

Spoken Languages:

  • English;; German

Skillset:

  • Machine Learning
  • Natural Language Processing
  • Information Retrieval
  • Deep Learning
  • Inference Optimization
  • Model Compression
  • High-Performance Computing

Soft Skills:

  • Problem-solving
  • Team collaboration
  • Critical thinking
  • Communication
  • Adaptability

Qualifications:

  • PhD or Master’s degree in Computer Science, Computer Engineering, Machine Learning or a related field
  • Experience with programming hardware accelerators such as GPU, TPU, or Neuron
  • Familiarity with inference optimization of foundational models, including techniques such as model compression, architectural optimization, and system-level optimization
  • Experience with inference engines like vLLM or TGI
  • Knowledge of classical Information Retrieval models including boolean, vector, and probabilistic models is a plus
  • Experience with generative machine learning models
  • Publications or patents in top-tier peer-reviewed conferences or journals
  • Proficiency in programming languages such as Java, C++, Python
  • Understanding of modern deep learning architectures, particularly Transformers
  • Experience with deep learning frameworks such as PyTorch

Years of Experience:

    5

Location:

    Germany

Job Benefits:

  • Competitive salary
  • Flexible working hours
  • Remote work options
  • Professional development opportunities
  • Access to cutting-edge technology and resources

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • Our company fosters a culture of innovation, collaboration, and continuous learning. We believe in empowering our employees to explore new ideas and push the envelope in technology. A supportive and inclusive work environment is at the heart of our operations, encouraging diverse perspectives to drive creativity and problem-solving.

Opportunities For Advancement:

  • Leadership roles in research and development, Opportunities for specialized training and certifications, Potential for cross-department collaborations to enhance skill sets

Visa Sponsorship:

    Available
]]> Bachelor Thesis in Deep Learning https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/bachelor-thesis-in-deep-learning-3/ Sun, 13 Oct 2024 09:20:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/bachelor-thesis-in-deep-learning-3/ Bachelor Thesis in Deep Learning

Job Description:

    Join our innovative research institution where we focus on advancing microsystems technology. As a part of our team, you will have the opportunity to work on cutting-edge projects that transform ideas into industry-leading solutions. This position is specifically for a Bachelor thesis in the field of Deep Learning, providing you with an exclusive insight into scientific research and technological development. You will engage in tasks such as creating data labels, training deep learning models, and analyzing data to implement effective augmentation techniques, all while documenting and presenting your findings both internally and externally.

IT Languages:

  • Python
  • C++
  • TensorFlow
  • PyTorch

You will be responsible for various research and development tasks related to deep learning.:

    Creating labels for datasets, including segmentation masks.;; Training and optimizing deep learning models.;; Implementing model compression techniques for embedded device applications.;; Conducting data analysis.;; Exploring data augmentation techniques.;; Documenting and presenting results.

Spoken Languages:

  • English;; German

Skillset:

  • Deep Learning
  • Data Analysis
  • Model Compression
  • Data Augmentation

Soft Skills:

  • Reliable
  • Independent
  • Team-oriented
  • Proactive

Qualifications:

  • Currently enrolled in a Bachelor’s program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or similar engineering fields.
  • Strong knowledge in programming languages and frameworks.

Years of Experience:

    0

Location:

    Germany

Job Benefits:

  • Modern research environment with close industry ties.
  • Diverse career opportunities during and after studies.
  • Flexible working hours and remote work options.
  • Professional training and development support.
  • Health programs and team events.
  • Meal subsidies in the cafeteria.
  • Monthly public transport subsidy.

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • We foster an innovative and collaborative environment where research meets practical application. Our team values creativity and encourages personal growth, making it a dynamic place for students and professionals alike.

Opportunities For Advancement:

  • Potential for further research positions., Opportunities for internships and full-time roles post-graduation.

Visa Sponsorship:

    Available
]]> Bachelor Thesis in Deep Learning https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/bachelor-thesis-in-deep-learning-2/ Tue, 08 Oct 2024 16:40:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/bachelor-thesis-in-deep-learning-2/ Bachelor Thesis in Deep Learning

Job Description:

    We are seeking a motivated student to undertake their Bachelor thesis focused on Deep Learning at our innovative research facility in Villingen-Schwenningen. As part of our dynamic team, you will gain exclusive insights into cutting-edge science and research, contributing to the development of advanced microsystems technology. Your work will involve creating data labels, training deep learning models, and compressing models for embedded device applications. Additionally, you will analyze data, explore data augmentation techniques, and document as well as present your findings to both internal and external stakeholders. This is an exciting opportunity to engage with pioneering research while developing your skills in artificial intelligence.

IT Languages:

  • Python
  • C++
  • TensorFlow
  • PyTorch

Key responsibilities include data labeling, model training, and results documentation.:

    Creating labels for datasets, such as segmentation masks.;; Training and optimizing deep learning models.;; Implementing model compression techniques for embedded applications.;; Conducting data analysis and exploring augmentation methods.;; Documenting findings and presenting results to diverse audiences.

Spoken Languages:

  • English;; German

Skillset:

  • Deep Learning
  • Data Analysis
  • Model Compression
  • Data Augmentation

Soft Skills:

  • Dependable
  • Independent
  • Team-oriented
  • Proactive

Qualifications:

  • Enrolled in a Bachelor’s program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or related engineering disciplines.

Years of Experience:

    0

Location:

    Germany

Job Benefits:

  • Innovative working environment in a modern research institute.
  • Career development opportunities during and post-study.
  • Flexible working hours with the possibility of remote work.
  • Training and mentorship from experienced professionals.
  • Health and wellness programs, including fitness memberships.
  • Meal subsidies in the cafeteria.
  • Monthly transportation allowance for public transport.

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • We foster a collaborative and innovative workplace, encouraging creativity and research excellence. Our team is dedicated to transforming ideas into industry-leading solutions, and we prioritize employee development and well-being.

Opportunities For Advancement:

  • Potential for further research roles post-thesis., Networking with industry professionals., Skill enhancement through workshops and training sessions.

Visa Sponsorship:

    Available
]]> Student Assistant Deep Learning https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/student-assistant-deep-learning/ Thu, 26 Sep 2024 10:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/student-assistant-deep-learning/ Student Assistant Deep Learning

Job Description:

    Join our innovative research institution where you will gain exclusive insights into the realms of science and research. This role will immerse you in the cutting-edge field of deep learning, where you will work alongside a dedicated team committed to transforming ideas into industry-leading solutions. Your contributions will span from the creation of data labels, such as segmentation masks, to training advanced deep learning models and performing model compression for use in embedded systems. You will also engage in data analysis and explore various data augmentation techniques, all while documenting and presenting your findings to both internal and external stakeholders. This is an exciting opportunity to be part of a dynamic research environment that values creativity and innovation.

IT Languages:

  • Python
  • C++
  • TensorFlow
  • PyTorch

As a student assistant, you will be engaged in various tasks that enhance your learning and contribute to our research projects.:

    Creation of labels for data, including segmentation masks.;; Training of deep learning models to improve accuracy and efficiency.;; Model compression techniques for deployment on embedded devices.;; Conducting data analysis to derive meaningful insights.;; Investigation of data augmentation techniques to improve model performance.;; Documentation and presentation of results for both internal reviews and external stakeholders.

Spoken Languages:

  • English;; German

Skillset:

  • Deep Learning
  • Data Analysis
  • Model Compression
  • Data Augmentation
  • Programming

Soft Skills:

  • Proactive
  • Team-oriented
  • Self-motivated
  • Reliable

Qualifications:

  • Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or comparable engineering fields.
  • Strong understanding of technical concepts related to deep learning and data analysis.

Years of Experience:

    1

Location:

    Europe

Job Benefits:

  • Innovative working environment with modern research facilities.
  • Career opportunities during and after studies.
  • Flexible working hours and the possibility to work partially from home.
  • Professional development and training opportunities.
  • Health programs participation and team events.
  • Meal subsidies in the cafeteria.
  • Monthly transportation allowance for public transit.

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • The company fosters a collaborative and innovative culture that encourages research and development. Employees are supported in their professional growth through mentorship and various training programs, while also enjoying a balanced work-life experience.

Opportunities For Advancement:

  • Possibility of transitioning into a full-time role post-internship., Opportunities for further academic collaboration and research., Potential involvement in industry projects.

Visa Sponsorship:

    Available
]]> Bachelor Thesis in Deep Learning https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/bachelor-thesis-in-deep-learning/ Tue, 24 Sep 2024 10:00:03 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/bachelor-thesis-in-deep-learning/ Bachelor Thesis in Deep Learning

Job Description:

    Join a leading research institution specializing in innovative microsystems technology, where you will have the opportunity to engage deeply with cutting-edge research in deep learning. This role involves creating labels for datasets, such as segmentation masks, and training deep learning models to enhance their effectiveness. You will also explore model compression techniques suitable for embedded devices, conduct data analysis, and investigate various data augmentation methods. The documentation and presentation of your findings will be crucial, as you will share your results with both internal teams and external stakeholders. This is a fantastic opportunity to apply your knowledge in a practical setting while contributing to the advancement of technology in a collaborative environment.

IT Languages:

  • Python
  • C++
  • TensorFlow
  • Pytorch

You will engage in various responsibilities that contribute to the research and application of deep learning technologies.:

    Creating labels for datasets, including segmentation masks.;; Training and fine-tuning deep learning models.;; Implementing model compression techniques for embedded devices.;; Conducting thorough data analysis.;; Exploring and evaluating data augmentation techniques.;; Documenting and presenting your findings to both internal and external audiences.

Spoken Languages:

  • English;; German

Skillset:

  • Deep Learning
  • Data Analysis
  • Model Compression
  • Data Augmentation
  • Programming

Soft Skills:

  • Reliable
  • Independent
  • Team-oriented
  • Proactive

Qualifications:

  • Currently enrolled in a Bachelor’s degree program in (Technical) Computer Science, Applied AI, Embedded Systems, Media Computer Science or a comparable engineering discipline.
  • Strong knowledge in one or more programming languages such as Python, C++, TensorFlow, or Pytorch.
  • Genuine enthusiasm for research and development, particularly in innovative and challenging tasks.

Years of Experience:

    0

Location:

    Villingen-Schwenningen, Baden-Württemberg, Germany, EU

Job Benefits:

  • Cutting-edge work environment with a strong connection to industry.
  • Diverse career opportunities during and after studies.
  • Flexible working hours with potential for remote work.
  • Comprehensive training and mentorship.
  • Health programs and team events.
  • Meal subsidies in the company cafeteria.
  • Monthly transportation allowance for public transport.

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • The workplace fosters a culture of innovation, collaboration, and continuous learning, encouraging employees to explore new ideas and technologies while working closely with industry partners.

Opportunities For Advancement:

  • Potential for further research opportunities., Career development workshops., Networking opportunities within the industry.

Visa Sponsorship:

    Not Available
]]> Deep Learning Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/deep-learning-engineer/ Thu, 19 Sep 2024 11:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/deep-learning-engineer/ Deep Learning Engineer

Job Description:

    We are an innovative Series A startup dedicated to revolutionizing the capabilities of edge devices through advanced compressed models. Our objective is to integrate powerful artificial intelligence functionalities into everyday technology, enhancing user experience and interaction. As we strive to innovate, we are searching for a skilled Deep Learning Engineer who is passionate about pushing the boundaries of AI. This role will involve working with state-of-the-art technologies, contributing to the development of our software development kits across various platforms, and ensuring seamless model deployment on edge devices.

IT Languages:

  • Python
  • C
  • CUDA
  • OpenCL

As a Deep Learning Engineer, you will be responsible for developing and optimizing advanced AI models and SDKs. Your role will encompass collaborating with cross-functional teams to ensure effective model compression and deployment strategies for edge devices.:

    Utilize Google Cloud and AWS technology stacks for model development;; Work with large language model technologies, focusing on the Transformers library;; Implement model compression techniques to enhance performance;; Contribute to SDK development for platforms including Android, iOS, and Linux;; Explore model deployment strategies on low-power edge devices;; Engage in low-level programming and performance optimization

Spoken Languages:

  • English;; German;; French

Skillset:

  • Deep Learning
  • Model Compression
  • SDK Development
  • Multithreading
  • Performance Optimization
  • Operating Systems
  • Low-Power Optimization

Soft Skills:

  • Strong problem-solving skills
  • Ability to work collaboratively in a team environment
  • Excellent communication skills
  • Adaptability to new technologies and methodologies

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science or a related field
  • Strong command of computer science principles and practices

Years of Experience:

    3

Location:

    Europe

Job Benefits:

  • Competitive salary
  • Flexible work hours
  • Health and wellness programs
  • Professional development opportunities
  • Remote work options

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster a culture of innovation and collaboration, where each team member's contributions are valued. Our environment encourages continuous learning and adaptation, promoting a balance between professional growth and personal well-being.

Opportunities For Advancement:

  • Career growth in AI and machine learning, Leadership opportunities in project management, Access to cutting-edge technology and research

Visa Sponsorship:

    Available
]]>