Neural Networks – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Tue, 08 Oct 2024 01:20:02 +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 Neural Networks – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Machine Learning Engineer – Computer Vision / Deep Learning / Python https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-computer-vision-deep-learning-python/ Tue, 08 Oct 2024 01:20:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-computer-vision-deep-learning-python/ Machine Learning Engineer – Computer Vision / Deep Learning / Python

Job Description:

    We are seeking a talented Machine Learning Engineer with a strong focus on computer vision and deep learning technologies. In this role, you will have the opportunity to collaborate closely with researchers to enhance our existing computational infrastructure. Your expertise will be essential as you utilize your analytical skills to navigate and resolve complex technical challenges. You will be responsible for characterizing the quality of neural networks, identifying their failure modes, and analyzing edge cases based on research data. Staying updated with current trends in the fields of machine learning and computer vision will be crucial for your success. You will coordinate with researchers, providing clear updates on the status of experiments, managing multiple concurrent experiments, and making accurate time estimates to meet project deadlines. In addition, you will review experimental outcomes and propose theoretical or procedural enhancements for future iterations. Finally, you will document your findings in comprehensive technical reports, which will convey both qualitative and quantitative results to external stakeholders.

IT Languages:

  • Python
  • TensorFlow
  • PyTorch

As a Machine Learning Engineer, you will have a diverse set of responsibilities that require both technical expertise and strong analytical skills.:

    Characterize neural network performance and assess failure modes;; Maintain up-to-date knowledge of advancements in machine learning and computer vision;; Coordinate with research teams to provide timely updates on experimental progress;; Manage and prioritize multiple experiments concurrently while adhering to deadlines;; Review and analyze experimental results, proposing improvements for future research;; Compile and write detailed technical reports for external parties

Spoken Languages:

  • English

Skillset:

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Neural Networks
  • Data Analysis

Soft Skills:

  • Strong communication skills
  • Attention to detail
  • Ability to work collaboratively in a fast-paced environment
  • Critical thinking and problem-solving skills

Qualifications:

  • Proficiency in Python programming
  • Experience in machine learning and deep learning frameworks
  • Ability to analyze research papers and implement corresponding techniques

Years of Experience:

    5

Location:

    United States

Job Benefits:

  • Flexible working hours
  • Health insurance
  • Professional development opportunities
  • Collaborative work environment
  • Exposure to cutting-edge technologies

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • A dynamic and innovative environment that fosters collaboration and creativity, where team members are encouraged to share ideas and contribute to ongoing projects. The company values diversity and promotes a culture of continuous learning and professional growth.

Opportunities For Advancement:

  • Potential for leadership roles in future projects, Access to advanced training and certifications, Opportunities to lead research initiatives

Visa Sponsorship:

    Available
]]> Intern Generative AI https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/intern-generative-ai-2/ Thu, 26 Sep 2024 07:20:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/intern-generative-ai-2/ Intern Generative AI

Job Description:

    Join our Data and Analytics Platforms (DAP) department where we focus on empowering Allianz Operating Entities through innovative data-driven solutions. As an intern, you will play a critical role in the design, development, and optimization of cutting-edge generative AI models. Your work will involve extensive data analysis to uncover patterns and trends that will inform the development of AI algorithms. You will collaborate closely with a multinational team of data scientists and engineers to integrate AI solutions into existing systems, ensuring they are efficient and effective. Staying current with the latest advancements in generative AI and machine learning will be essential, allowing you to apply relevant findings to ongoing projects. You will also be responsible for maintaining thorough documentation of your work, ensuring transparency and reproducibility in all processes. This internship offers a unique opportunity to contribute to a field at the forefront of technology while gaining invaluable experience in a dynamic and supportive environment.

IT Languages:

  • Python
  • TensorFlow
  • PyTorch

As an intern, you will engage in various tasks that will enhance your skills and contribute to the team’s success.:

    Assist in designing, developing, and fine-tuning generative AI models.;; Conduct thorough data analysis to identify insightful patterns.;; Implement and test AI algorithms for optimal performance.;; Collaborate with team members to integrate AI solutions effectively.;; Research the latest advancements in generative AI and machine learning.;; Maintain detailed documentation of AI models and algorithms.;; Evaluate and optimize AI model performance for continuous improvement.

Spoken Languages:

  • English;; German

Skillset:

  • Generative AI
  • Machine Learning
  • Neural Networks
  • Data Analysis

Soft Skills:

  • Strong analytical skills
  • Excellent communication skills
  • Team collaboration
  • Adaptability
  • Problem-solving

Qualifications:

  • Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Business Development, Marketing, or a related field.
  • Proficiency in programming languages such as Python.
  • Familiarity with AI/ML frameworks like TensorFlow or PyTorch.

Years of Experience:

    0

Location:

    Unterföhring, Bavaria, Germany

Job Benefits:

  • Attractive monthly salary
  • Modern office environment
  • Flexible working hours
  • Student discount in canteen
  • Free LinkedIn Learning account
  • Networking opportunities

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • A diverse and inclusive environment where innovation thrives, valuing teamwork and collaboration across different cultures and backgrounds.

Opportunities For Advancement:

  • Potential for future employment within the organization, Access to ongoing professional development programs, Networking with industry professionals

Visa Sponsorship:

    Available
]]> Master Thesis in Monocular Depth Estimation using Deep Learning and Computer Vision https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/master-thesis-in-monocular-depth-estimation-using-deep-learning-and-computer-vision/ Wed, 25 Sep 2024 12:40:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/master-thesis-in-monocular-depth-estimation-using-deep-learning-and-computer-vision/ Master Thesis in Monocular Depth Estimation using Deep Learning and Computer Vision

Job Description:

    The Fraunhofer Application Center for Connected Mobility and Infrastructure is dedicated to addressing current and future challenges related to automated and cooperative driving and flying. The center integrates diverse expertise in sensor technology, communication, and artificial intelligence, leveraging synergies with universities and local industries while fostering close collaborations with the city of Ingolstadt and its partners. Through research into urban air mobility, the center explores additional technology fields in autonomous systems, traffic digitalization, and vehicle and traffic safety. We are currently seeking exceptional students interested in writing their thesis in the fields of computer vision and deep learning. The thesis will focus on developing cutting-edge methods for monocular depth estimation, which will be utilized in the environmental perception of autonomous drones, making significant contributions to the advancement of this exciting field.

IT Languages:

  • Python

As a part of this project, you will engage in the development of advanced algorithms and models for depth estimation using monocular inputs.:

    Develop and implement novel deep learning algorithms for monocular depth estimation;; Conduct experiments and analyze the performance of algorithms;; Collaborate with the research team to integrate solutions into autonomous drone systems;; Document findings and contribute to research reports and publications

Spoken Languages:

  • English;; German

Skillset:

  • Deep Learning
  • Computer Vision
  • Python
  • PyTorch
  • TensorFlow
  • Neural Networks
  • Transformer Architectures

Soft Skills:

  • Creativity
  • Teamwork
  • Motivation
  • Independent and structured working style

Qualifications:

  • Degree in Computer Science, Data Science, Mathematics, Physics, Electrical and Information Engineering, or related field
  • Strong background in Deep Learning and Computer Vision
  • Excellent academic performance

Years of Experience:

    0

Location:

    Ingolstadt, Bavaria, Germany, EU

Job Benefits:

  • Challenging tasks in state-of-the-art application areas
  • Interdisciplinary research on promising technologies
  • Professional supervision and guidance
  • Competitive compensation
  • Flexible working hours
  • Modern research infrastructure
  • Dynamic team in an open and collegial environment

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • The work environment promotes diversity and collaboration, valuing the contributions of each team member, and fostering innovation in research. The organization emphasizes the importance of interdisciplinary approaches and encourages creativity and initiative among its staff.

Opportunities For Advancement:

  • Possibility of publishing research findings, Networking opportunities with industry professionals, Potential for further research collaborations

Visa Sponsorship:

    Available
]]> ML Engineer with focus on NLP/LLMs https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/ml-engineer-with-focus-on-nlp-llms-2/ Tue, 24 Sep 2024 03:20:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/ml-engineer-with-focus-on-nlp-llms-2/ ML Engineer with focus on NLP/LLMs

Job Description:

    We are seeking a highly skilled Machine Learning Engineer who specializes in Natural Language Processing and Large Language Models to join our dynamic team. In this role, you will take the lead in developing and implementing advanced NLP models and LLMs, delving deep into feedback data to uncover meaningful patterns that drive actionable insights. Your expertise will not only enhance the capabilities of our MIGO Feedback Hub but also contribute to transforming the way businesses interpret and respond to feedback from customers and employees. This is a full-time hybrid position based in Mainz, where you will collaborate with a diverse team of professionals dedicated to fostering an environment of integrity, learning, and curiosity.

IT Languages:

  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn

As a Machine Learning Engineer, your primary responsibilities will include designing, developing, and maintaining cutting-edge AI services that facilitate both text and image analysis as well as generative AI capabilities. You will integrate AI services into our AI Service Factory to enable rapid prototyping and seamless incorporation into our MIGO platform. You will also be tasked with training and optimizing machine learning models for various applications, including but not limited to text classification and sentiment analysis.:

    Design and develop AI services for text and image analysis;; Integrate AI services into the AI Service Factory;; Develop, train, and optimize machine learning models;; Prepare and preprocess data for machine learning tasks;; Evaluate model performance and refine models;; Conduct research on machine learning techniques

Spoken Languages:

  • English;; German

Skillset:

  • Pattern Recognition
  • Neural Networks
  • Algorithms
  • NLP Models
  • LLMs Optimization
  • Data Analysis

Soft Skills:

  • Strong problem-solving skills
  • Analytical thinking
  • Excellent communication skills
  • Team collaboration abilities

Qualifications:

  • Strong foundation in machine learning algorithms and techniques
  • Proficiency in Python and popular machine learning libraries
  • Experience with natural language processing tasks
  • Understanding of computer vision techniques
  • Knowledge of data preprocessing and model evaluation techniques
  • Master’s or PhD in Computer Science, Engineering, or related field

Years of Experience:

    5

Location:

    Mainz, Rhineland-Palatinate, Germany, EU

Job Benefits:

  • Learning opportunities through mentorship and career advancement
  • Competitive salary and benefits package
  • Virtual stock options
  • Collaborative and agile work environment
  • Impactful work with innovative solutions

Working Conditions:

    Hybrid

Employment Type:

    Permanent Contract

Company Culture:

  • Our company culture is defined by a commitment to integrity, a passion for learning, and a customer-centric approach. We value curiosity and encourage our team members to explore new ideas that can lead to innovative solutions. We foster a collaborative environment where young professionals can thrive and contribute meaningfully to our goals.

Opportunities For Advancement:

  • Career advancement through continuous learning and mentorship, Exposure to cutting-edge projects and technologies, Possibilities for research and publication in relevant fields

Visa Sponsorship:

    Available
]]> Intern Generative AI https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/intern-generative-ai/ Sun, 22 Sep 2024 14:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/intern-generative-ai/ Intern Generative AI

Job Description:

    Join our dynamic Data and Analytics Platforms department, where we aim to empower businesses through innovative data-driven solutions. As an intern in Generative AI, you will play a pivotal role in developing cutting-edge AI models that address specific project needs. You will engage in comprehensive data analysis to uncover valuable patterns and insights that will enhance our AI capabilities. Your responsibilities will include implementing and testing AI algorithms to ensure optimal performance, collaborating with a talented team of data scientists and engineers, and staying abreast of the latest advancements in the AI field. Your work will contribute to transforming data into actionable insights that drive growth and competitive advantage for our clients.

IT Languages:

  • Python
  • TensorFlow
  • PyTorch

As an intern, you will assist in various aspects of generative AI model development and implementation.:

    Design, develop, and fine-tune generative AI models.;; Conduct thorough data analysis to identify trends and insights.;; Implement and test AI algorithms for effectiveness.;; Collaborate with team members to integrate AI solutions.;; Research advancements in generative AI and apply relevant findings.;; Maintain documentation for transparency and reproducibility.;; Evaluate and optimize AI model performance.

Spoken Languages:

  • English;; German

Skillset:

  • Generative AI
  • Machine Learning
  • Neural Networks
  • Data Analysis

Soft Skills:

  • Excellent communication skills
  • Team collaboration
  • Adaptability
  • Passion for learning

Qualifications:

  • Currently enrolled in a Bachelor’s or Master’s degree in Computer Science, Business Development, Marketing, or a related field.
  • Strong analytical and problem-solving skills.

Years of Experience:

    0

Location:

    Unterföhring, Bavaria, Germany, EU

Job Benefits:

  • Attractive monthly salary
  • Modern office space
  • Flexible working hours
  • Student discounts in the canteen
  • Free access to LinkedIn Learning
  • Networking opportunities within a large student community
  • Experience in a global company

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • We foster a culture of inclusivity and collaboration, where diversity is celebrated and every team member's contributions are valued. Our multinational team thrives on innovation and creativity, encouraging continuous learning and professional growth.

Opportunities For Advancement:

  • Potential for full-time employment after internship, Opportunities to work on international projects

Visa Sponsorship:

    Available
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