Model Optimization – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sun, 20 Oct 2024 03:45:02 +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 Optimization – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Master's Thesis in Deep Learning https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/masters-thesis-in-deep-learning-4/ Sun, 20 Oct 2024 03:45:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/masters-thesis-in-deep-learning-4/ Master's Thesis in Deep Learning

Job Description:

    Join us for an exciting opportunity to engage in cutting-edge research and development in the field of Deep Learning. As a Master's student, you will delve into the realms of artificial intelligence and contribute to innovative solutions that bridge theoretical concepts with practical applications. This position offers a unique glimpse into scientific research, allowing you to work closely with a team of experts dedicated to transforming ideas into advanced technologies. You will be responsible for creating data labels, training deep learning models, exploring model compression techniques for embedded devices, and conducting thorough data analyses. Your findings will be documented and presented, contributing to both internal knowledge sharing and external communication of our research outcomes.

IT Languages:

  • Python
  • C++
  • TensorFlow
  • PyTorch

You will assist in various tasks related to deep learning research, focusing on data preparation, model development, and analysis.:

    Create labels for datasets, including segmentation masks.;; Train and optimize deep learning models.;; Implement model compression techniques suitable for embedded systems.;; Conduct data analysis and investigate data augmentation techniques.;; Document findings and present results to both internal and external stakeholders.

Spoken Languages:

  • English;; German

Skillset:

  • Deep Learning
  • Model Optimization
  • Data Analysis
  • Data Labeling

Soft Skills:

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

Qualifications:

  • Currently enrolled in a Master’s program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or a related engineering field.
  • Strong understanding of machine learning principles and techniques.

Years of Experience:

    0

Location:

    Germany

Job Benefits:

  • Innovative work environment with modern research facilities.
  • Career security with diverse opportunities during and after studies.
  • Flexible working hours and the possibility of remote work.
  • Professional training and development support.
  • Health and wellness programs available.
  • Subsidized meals in the company cafeteria.
  • Monthly transportation allowance for public transport.

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • A collaborative and innovative atmosphere where creativity and scientific inquiry are encouraged. The team values continuous learning and knowledge sharing, fostering professional growth and development.

Opportunities For Advancement:

  • Potential for further research roles., Opportunities for collaboration on industry projects., Pathways to full-time positions post-graduation.

Visa Sponsorship:

    Available
]]> Master's Thesis in Deep Learning https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/masters-thesis-in-deep-learning-3/ Sun, 13 Oct 2024 04:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/masters-thesis-in-deep-learning-3/ Master's Thesis in Deep Learning

Job Description:

    Join us for an exciting opportunity to engage in cutting-edge research and development in the field of Deep Learning. As a Master's student, you will delve into the realms of artificial intelligence and contribute to innovative solutions that bridge theoretical concepts with practical applications. This position offers a unique glimpse into scientific research, allowing you to work closely with a team of experts dedicated to transforming ideas into advanced technologies. You will be responsible for creating data labels, training deep learning models, exploring model compression techniques for embedded devices, and conducting thorough data analyses. Your findings will be documented and presented, contributing to both internal knowledge sharing and external communication of our research outcomes.

IT Languages:

  • Python
  • C++
  • TensorFlow
  • PyTorch

You will assist in various tasks related to deep learning research, focusing on data preparation, model development, and analysis.:

    Create labels for datasets, including segmentation masks.;; Train and optimize deep learning models.;; Implement model compression techniques suitable for embedded systems.;; Conduct data analysis and investigate data augmentation techniques.;; Document findings and present results to both internal and external stakeholders.

Spoken Languages:

  • English;; German

Skillset:

  • Deep Learning
  • Model Optimization
  • Data Analysis
  • Data Labeling

Soft Skills:

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

Qualifications:

  • Currently enrolled in a Master’s program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or a related engineering field.
  • Strong understanding of machine learning principles and techniques.

Years of Experience:

    0

Location:

    Germany

Job Benefits:

  • Innovative work environment with modern research facilities.
  • Career security with diverse opportunities during and after studies.
  • Flexible working hours and the possibility of remote work.
  • Professional training and development support.
  • Health and wellness programs available.
  • Subsidized meals in the company cafeteria.
  • Monthly transportation allowance for public transport.

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • A collaborative and innovative atmosphere where creativity and scientific inquiry are encouraged. The team values continuous learning and knowledge sharing, fostering professional growth and development.

Opportunities For Advancement:

  • Potential for further research roles., Opportunities for collaboration on industry projects., Pathways to full-time positions post-graduation.

Visa Sponsorship:

    Available
]]> Junior Machine Learning Engineer https://whoneedsengineers.com/jobs/data-sciene-and-analytics/junior-machine-learning-engineer-3/ Tue, 08 Oct 2024 13:50:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/junior-machine-learning-engineer-3/ Junior Machine Learning Engineer

Job Description:

    Are you ready to embark on an exciting journey in the field of machine learning? We are seeking a motivated Junior Machine Learning Engineer to join a dynamic team in Leipzig. In this role, you will be instrumental in developing innovative end-to-end solutions that enhance the experience of our clients' customers through advanced digital products and services. You will have the opportunity to work in a fast-paced e-commerce environment, collaborating closely with experienced Machine Learning Engineers who will guide you in providing scalable features and performance-oriented models. This position offers a unique chance to apply your creativity and curiosity in data science, utilizing the latest algorithms to optimize products, while also fostering your growth within a supportive Data Science Community.

IT Languages:

  • Python
  • Pandas
  • SKLearn
  • SciPy
  • Pytorch
  • Tensorflow

As a Junior Machine Learning Engineer, your primary responsibilities will include::

    Developing and optimizing machine learning operations to enhance data applications and models;; Creating and refining models using advanced machine learning and self-correcting algorithms;; Structuring, programming, and implementing logical frameworks for data processing;; Integrating various models and optimizations into the production systems;; Translating business use cases into effective technical concepts and system architectures;; Preparing and cleansing data from multiple sources like AWS and Google Analytics to ensure high-quality inputs for models

Spoken Languages:

  • English;; German

Skillset:

  • Machine Learning
  • Deep Learning Frameworks
  • Data Processing
  • Model Optimization
  • Natural Language Processing

Soft Skills:

  • Creativity
  • Curiosity
  • Teamwork
  • Communication
  • Problem-solving

Qualifications:

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Physics, or Statistics
  • Experience in data science projects, particularly with ranking and recommendation systems

Years of Experience:

    1

Location:

    Germany

Job Benefits:

  • Flexible working hours with a hybrid model
  • Opportunities for personal and professional development through training
  • Attractive salary package with performance bonuses
  • Wellness programs including fitness cooperations
  • Subsidized company bicycle leasing
  • Ergonomic workstations with modern equipment

Working Conditions:

    Hybrid

Employment Type:

    Permanent Contract

Company Culture:

  • The company fosters an independent and agile work environment where small teams collaborate closely, promoting a strong team spirit and short decision-making processes. Employees are encouraged to share knowledge and participate in continuous learning opportunities.

Opportunities For Advancement:

  • Further training and skill development, Regular feedback meetings for personal growth, Potential for advancement within the Data Science Community

Visa Sponsorship:

    Available
]]> Machine Learning Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-11/ Mon, 23 Sep 2024 20:40:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-11/ Machine Learning Engineer

Job Description:

    We are seeking a talented Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for developing and implementing innovative machine learning models and algorithms designed to tackle complex business challenges. Your expertise will be critical in collaborating with various cross-functional teams to gain insights into project requirements and to design scalable solutions that deliver real value. You will also have the opportunity to conduct extensive research to explore cutting-edge techniques, algorithms, and tools in the field of machine learning. Additionally, you will build and deploy comprehensive machine learning pipelines encompassing data preprocessing, feature engineering, and model training. A key part of your role will involve optimizing and fine-tuning models to ensure high performance, scalability, and efficiency. You will continuously monitor and evaluate model performance, iterating on improvements to enhance accuracy and reliability, ensuring that our systems remain at the forefront of technology.

IT Languages:

  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn

The following tasks will be part of your responsibilities::

    Develop and implement machine learning models and algorithms;; Collaborate with cross-functional teams to understand and fulfill project requirements;; Conduct research to explore new techniques and tools in machine learning;; Build and deploy machine learning pipelines for data preprocessing and feature engineering;; Optimize and fine-tune models for performance and efficiency;; Monitor model performance and iterate on improvements

Spoken Languages:

  • English;; German

Skillset:

  • Machine Learning
  • Data Science
  • Algorithm Development
  • Model Optimization
  • Data Preprocessing

Soft Skills:

  • Strong problem-solving skills
  • Ability to work collaboratively in a team environment
  • Proactive attitude towards learning new technologies
  • Effective communication skills

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
  • Proven experience in developing and deploying machine learning models in production environments
  • Solid understanding of machine learning concepts, algorithms, and techniques

Years of Experience:

    5

Location:

    Europe

Job Benefits:

  • Flexible working hours
  • Remote work opportunities
  • Access to professional development resources
  • Collaborative and innovative work environment

Working Conditions:

    Remote

Employment Type:

    Contract

Company Culture:

  • The company fosters a culture of innovation and collaboration, encouraging employees to explore new ideas and push the boundaries of technology. The team is passionate about leveraging AI and machine learning to create impactful solutions, and values continuous learning and professional growth.

Opportunities For Advancement:

  • Potential for contract renewal, Opportunities to lead projects, Pathway to permanent positions

Visa Sponsorship:

    Not Available
]]> Applied Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/applied-scientist/ Sun, 22 Sep 2024 12:40:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/applied-scientist/ Applied Scientist

Job Description:

    We are seeking innovative Scientists and Engineers to join our team in the exciting field of developing next-generation discovery systems. This role involves collaborating with advanced Natural Language Processing (NLP), Information Retrieval (IR) methods, and Large Language Models (LLMs) to solve complex problems and enhance our technological capabilities. You will be instrumental in creating long-term scientific strategies to tackle intricate challenges, employing cutting-edge solutions to ensure our leadership in IR innovation. Your responsibilities will include inventing, implementing, and deploying machine learning algorithms and systems aimed at optimizing the performance of foundational models. This is a unique opportunity to be at the forefront of technology and contribute to significant advancements in the field.

IT Languages:

  • Python
  • Java
  • C++

As an Applied Scientist, you will engage in the following tasks::

    Develop and refine long-term scientific research roadmaps to address complex challenges in technology;; Design and implement machine learning algorithms and systems that enhance the inference of foundational models;; Collaborate with cross-functional teams to integrate advanced NLP and IR methods into our products;; Optimize and deploy ML models for maximum efficiency and accuracy;; Conduct experiments and analyze data to validate the performance of new algorithms and technologies;; Stay updated on the latest advancements in machine learning and information retrieval to ensure our solutions remain cutting-edge

Spoken Languages:

  • English;; German

Skillset:

  • Machine Learning
  • Deep Learning
  • NLP
  • Information Retrieval
  • Model Optimization
  • High-performance Computing

Soft Skills:

  • Problem-solving
  • Analytical thinking
  • Team collaboration
  • Effective 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 GPUs or TPUs
  • Proven track record in inference optimization of foundational models through techniques like model compression, architectural optimization, and system-level optimization
  • Familiarity with inference engines like vLLM or TGI
  • Knowledge of classical Information Retrieval models is advantageous
  • Experience in developing generative machine learning models
  • Background in patents or publications at esteemed peer-reviewed conferences or journals

Years of Experience:

    5

Location:

    Munich, Bavaria, Germany, EU

Job Benefits:

  • Competitive salary
  • Remote work flexibility
  • Professional development opportunities
  • Health and wellness programs
  • Collaborative work environment

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster a culture of innovation and collaboration, encouraging our employees to take initiative and contribute ideas. Our environment is supportive and dynamic, with a focus on continuous learning and professional growth.

Opportunities For Advancement:

  • Leadership roles in projects, Opportunities for research grants, Participation in international conferences

Visa Sponsorship:

    Available
]]> Applied Machine Learning / AI Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/applied-machine-learning-ai-engineer/ Mon, 16 Sep 2024 23:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/applied-machine-learning-ai-engineer/ Applied Machine Learning / AI Engineer

Job Description:

    At Cove, we are dedicated to transforming the way teams collaborate with artificial intelligence. Our innovative platform transcends traditional chat interfaces, offering a dynamic and contextual workspace where AI acts as a collaborative partner. This role is crucial for those who are passionate about advancing AI in a user-centered environment. You will work closely with a skilled team of engineers and builders, gaining valuable mentorship and experience. Your contributions will involve harnessing the power of foundational large language models, customizing models for specific applications, and optimizing machine learning workflows. This is an exciting opportunity to be part of an early-stage startup where your work will directly impact product development and user experience.

IT Languages:

  • Python
  • TensorFlow
  • PyTorch
  • SQL

As an Applied Machine Learning / AI Engineer, your responsibilities will include::

    Leveraging foundational large language models to maximize reasoning and impact;; Training bespoke machine learning models to address specific challenges;; Evaluating and optimizing machine learning workloads for performance and reproducibility;; Collaborating with cross-functional teams to tackle a variety of startup-related challenges

Spoken Languages:

  • English

Skillset:

  • Machine Learning
  • Deep Learning
  • Model Optimization
  • Large Language Models
  • Generative AI

Soft Skills:

  • Problem-solving
  • Adaptability
  • Team collaboration
  • Effective communication
  • Curiosity

Qualifications:

  • 3 to 5 years of experience in applied machine learning
  • Strong foundation in machine learning and deep learning concepts
  • Experience in model optimization and performance enhancement
  • Ability to navigate ambiguity and take calculated risks in a startup environment
  • Experience in developing products from ground up

Years of Experience:

    5

Location:

    Europe

Job Benefits:

  • Competitive cash compensation
  • Stock options
  • Full medical benefits
  • Dental benefits
  • Vision benefits

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • The culture at Cove is centered around innovation, collaboration, and a passion for technology. We promote a work environment that encourages creativity and continuous learning, where team members are empowered to take initiative and share their ideas. Our team is made up of experienced professionals from leading tech companies, fostering a culture of mentorship and growth.

Opportunities For Advancement:

  • Career development programs, Mentorship opportunities, Project leadership roles

Visa Sponsorship:

    Available
]]>