Deep learning frameworks – Who Needs Engineers
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Software Engineering RecruitmentSun, 27 Oct 2024 17:30:02 +0000en-US
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1 https://wordpress.org/?v=6.6.2/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngDeep learning frameworks – Who Needs Engineers
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3232Machine Learning Engineer
/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-25/
Sun, 27 Oct 2024 17:30:02 +0000/wne_live/jobs/jobs-categories/machine-learning-engineer-25/Machine Learning Engineer
Job Description:
We are seeking an enthusiastic and skilled Machine Learning Engineer to join our dynamic tech team in Munich. In this role, you will be responsible for designing, implementing, and deploying machine learning models that tackle complex challenges and enhance our product offerings. You will engage in diverse projects ranging from natural language processing to computer vision, utilizing the latest technologies to drive innovation and efficiency. Your expertise will be vital in collaborating with data scientists, software engineers, and product teams to integrate machine learning solutions into production, ensuring our systems are robust and scalable.
IT Languages:
Python
TensorFlow
PyTorch
Scikit-learn
As a Machine Learning Engineer, you will undertake the following responsibilities::
Design, develop, and optimize machine learning models for large-scale applications;; Collaborate with cross-functional teams to seamlessly integrate machine learning models into production;; Conduct thorough data analysis, preprocessing, and feature engineering to uphold data quality;; Implement comprehensive machine learning pipelines, covering model training, evaluation, and deployment;; Continuously monitor, maintain, and enhance the performance of deployed models over time;; Stay informed about the latest advancements in machine learning and artificial intelligence research
Spoken Languages:
English;; German
Skillset:
Machine Learning Algorithms
Cloud Platforms
Data Structures
Big Data Technologies
Deep Learning Frameworks
Soft Skills:
Problem-solving
Collaboration
Adaptability
Attention to detail
Time management
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Proven experience in machine learning engineering or a similar capacity
Years of Experience:
5
Location:
Germany
Job Benefits:
Competitive salary
Flexible working hours
Professional development opportunities
Health and wellness programs
Collaborative work environment
Working Conditions:
Hybrid
Employment Type:
Permanent Contract
Company Culture:
Our company fosters a culture of innovation and collaboration, where team members are encouraged to share ideas and contribute to exciting projects. We value continuous learning and support our employees in their professional growth.
Opportunities For Advancement:
Leadership roles, Specialization in advanced technologies, Mentorship opportunities
Join our dedicated team as a Machine Learning/Artificial Intelligence Engineer, where you will play a pivotal role in revolutionizing the way language models are applied in software engineering and cybersecurity. Your expertise will contribute to cutting-edge research, design, and the development of innovative language models tailored for specific tasks. You will engage deeply with cross-functional teams, including software engineers, machine learning specialists, and domain experts, to thoroughly understand project requirements and implement effective solutions. Your role will involve experimenting with various architectures, training methodologies, and datasets to enhance the performance and efficiency of our language models dedicated to code generation. Additionally, you will be responsible for conducting comprehensive evaluations and benchmarks to assess the quality, robustness, and scalability of the models you develop. Staying updated on the latest advancements in natural language processing, machine learning, and software development will be crucial in refining our approaches and driving innovation within the team.
IT Languages:
Python
TensorFlow
PyTorch
As a Machine Learning/Artificial Intelligence Engineer, you will be responsible for the following tasks::
Researching and designing state-of-the-art language models for software engineering and cybersecurity applications;; Collaborating with interdisciplinary teams to gather requirements and implement solutions;; Experimenting with different model architectures and training methodologies;; Conducting evaluations and benchmarks to assess model performance;; Staying updated on advancements in machine learning and software development
Spoken Languages:
English
Skillset:
Natural Language Processing
Machine Learning
Artificial Intelligence
Deep Learning Frameworks
Software Engineering Principles
Soft Skills:
Excellent communication skills
Strong analytical and problem-solving abilities
Ability to collaborate effectively with diverse teams
Qualifications:
Master’s or Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field focused on natural language processing, machine learning, or artificial intelligence
Active Top Secret security clearance required
Demonstrated experience in developing and deploying language models, particularly for code generation tasks
Years of Experience:
5
Location:
United States
Job Benefits:
Competitive base salary and bonuses
Comprehensive medical, dental, and vision benefits
401 (K) plan with generous company matching
Four weeks of paid parental leave
Four weeks of paid time off (PTO)
Eleven paid holidays
Flexible work hours and potential for remote work
Continuing education benefits
Additional perks such as company retreats and a well-stocked kitchen
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We prioritize a positive company culture, fostering an atmosphere that encourages creativity and innovation. Our employees are rewarded for achieving exceptional results and are provided with opportunities for growth and development.
Opportunities For Advancement:
Career growth potential within the organization, Opportunities to lead projects and initiatives, Continuous learning and professional development
Visa Sponsorship:
Not Available
]]>Internship in Artificial Intelligence and Computer Vision
/jobs/emerging-technologies-and-specialized-roles/internship-in-artificial-intelligence-and-computer-vision-2/
Sun, 20 Oct 2024 14:10:02 +0000/wne_live/jobs/jobs-categories/internship-in-artificial-intelligence-and-computer-vision-2/Internship in Artificial Intelligence and Computer Vision
Job Description:
Join our dynamic Artificial Intelligence and Computer Vision team at our research and development center in Darmstadt. We are engaged in cutting-edge applied research and technology transfer projects that span a wide array of innovative technologies including Computer Vision, Artificial Intelligence, Natural Language Processing, and Large Language Models. As an intern, you will play a crucial role in supporting exciting projects that bridge the gap between theoretical concepts and real-world applications. We are seeking candidates with strong programming capabilities and a solid grasp of machine learning methodologies. Familiarity with concepts in image processing, computer vision, deep learning, and natural language processing will be highly advantageous. This internship will provide you with hands-on experience in applying state-of-the-art algorithms to high-performance applications, enabling you to make a tangible impact in the industry. Over the course of six months, you will receive guidance on well-defined tasks and participate in regular progress meetings to ensure alignment with project goals. This is an opportunity to thrive in a collaborative and innovative environment that encourages professional growth.
IT Languages:
Python
C/C++
As an intern, you will be involved in various tasks that contribute to ongoing projects in artificial intelligence and computer vision.:
Assist in the development of algorithms for image processing and machine learning applications;; Support the integration of computer vision solutions into existing systems;; Conduct experiments and analyze results to improve performance of AI models;; Participate in team meetings to discuss project progress and share insights
Spoken Languages:
English;; German
Skillset:
Python programming
Machine learning techniques
Deep learning frameworks
Image processing
Computer vision libraries
Soft Skills:
Team player
Adaptability
Problem-solving
Effective communication
Qualifications:
Degree in artificial intelligence, computer vision, deep learning, image processing, machine learning, or a related field
Experience with mobile development and relevant libraries is a plus
Years of Experience:
0
Location:
Germany
Job Benefits:
Hands-on experience with cutting-edge technologies
Mentorship from industry experts
Flexible working environment
Opportunities for networking and professional development
Working Conditions:
Full Time
Employment Type:
Internship
Company Culture:
We foster an open-minded and agile work environment that values creativity and collaboration. Our team is composed of international talents who are passionate about technology and innovation.
Opportunities For Advancement:
Potential for full-time employment after internship, Access to training and development programs, Career advancement opportunities within the company
Visa Sponsorship:
Available
]]>Internship in Artificial Intelligence and Computer Vision
/jobs/emerging-technologies-and-specialized-roles/internship-in-artificial-intelligence-and-computer-vision/
Sun, 13 Oct 2024 14:40:02 +0000/wne_live/jobs/jobs-categories/internship-in-artificial-intelligence-and-computer-vision/Internship in Artificial Intelligence and Computer Vision
Job Description:
Join our dynamic Artificial Intelligence and Computer Vision team at our research and development center in Darmstadt. We are engaged in cutting-edge applied research and technology transfer projects that span a wide array of innovative technologies including Computer Vision, Artificial Intelligence, Natural Language Processing, and Large Language Models. As an intern, you will play a crucial role in supporting exciting projects that bridge the gap between theoretical concepts and real-world applications. We are seeking candidates with strong programming capabilities and a solid grasp of machine learning methodologies. Familiarity with concepts in image processing, computer vision, deep learning, and natural language processing will be highly advantageous. This internship will provide you with hands-on experience in applying state-of-the-art algorithms to high-performance applications, enabling you to make a tangible impact in the industry. Over the course of six months, you will receive guidance on well-defined tasks and participate in regular progress meetings to ensure alignment with project goals. This is an opportunity to thrive in a collaborative and innovative environment that encourages professional growth.
IT Languages:
Python
C/C++
As an intern, you will be involved in various tasks that contribute to ongoing projects in artificial intelligence and computer vision.:
Assist in the development of algorithms for image processing and machine learning applications;; Support the integration of computer vision solutions into existing systems;; Conduct experiments and analyze results to improve performance of AI models;; Participate in team meetings to discuss project progress and share insights
Spoken Languages:
English;; German
Skillset:
Python programming
Machine learning techniques
Deep learning frameworks
Image processing
Computer vision libraries
Soft Skills:
Team player
Adaptability
Problem-solving
Effective communication
Qualifications:
Degree in artificial intelligence, computer vision, deep learning, image processing, machine learning, or a related field
Experience with mobile development and relevant libraries is a plus
Years of Experience:
0
Location:
Germany
Job Benefits:
Hands-on experience with cutting-edge technologies
Mentorship from industry experts
Flexible working environment
Opportunities for networking and professional development
Working Conditions:
Full Time
Employment Type:
Internship
Company Culture:
We foster an open-minded and agile work environment that values creativity and collaboration. Our team is composed of international talents who are passionate about technology and innovation.
Opportunities For Advancement:
Potential for full-time employment after internship, Access to training and development programs, Career advancement opportunities within the company
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
]]>Scientist I, Machine Learning
/jobs/emerging-technologies-and-specialized-roles/scientist-i-machine-learning/
Sun, 29 Sep 2024 17:15:02 +0000/wne_live/jobs/jobs-categories/scientist-i-machine-learning/Scientist I, Machine Learning
Job Description:
Generate:Biomedicines is at the forefront of therapeutics, merging machine learning with biological engineering and medicine to innovate Generative Biology. This novel approach allows us to computationally generate breakthrough medicines rather than relying solely on traditional discovery methods. Our advanced machine learning-powered platform has the potential to create new drugs across various biologic modalities, representing a paradigm shift in biotherapeutic development. We are on a mission to harness the revolutionary capabilities of generative biology to transform the lives of billions, focusing on patients who need it the most. As we expand, we seek individuals who are passionate about making a significant impact through collaborative problem-solving. The machine learning team is integral to our efforts, developing generative models and algorithms to produce novel proteins efficiently. We utilize our deep understanding of generative modeling and protein biophysics to create cutting-edge systems that work in tandem with our computational and wet lab teams, ultimately leading to the development of new therapeutics. The role involves close collaboration with diverse teams to maximize the potential of both internal and external data, contributing to the design and scaling of state-of-the-art applications in protein design.
IT Languages:
Python
Pytorch
JAX
As a Machine Learning Scientist, you will play a pivotal role in developing and implementing foundational generative models and algorithms that are crucial for understanding and designing protein sequences, structures, and functions.:
Develop generative models for protein design and reasoning;; Scale systems utilizing extensive GPU resources to harness biological data;; Collaborate with wet lab teams to facilitate high-impact therapeutic applications;; Engineer production-grade machine learning systems for large-scale data processing;; Present research findings in meetings and prepare communication materials for various audiences
Spoken Languages:
English
Skillset:
Machine Learning
Deep Learning Frameworks
Data Analysis
Generative Modeling
Protein Design
Soft Skills:
Collaborative
Problem Solver
Creative
Motivated
Rigorous
Qualifications:
PhD in Computational Biology, Computer Science, or a related field
Proven track record in innovative machine learning method development for scientific applications
Experience in developing ML methods applicable to protein modeling and adjacent fields
Years of Experience:
3
Location:
Somerville, MA, United States
Job Benefits:
Comprehensive health benefits
Retirement savings plan
Paid time off
Professional development opportunities
Flexible working hours
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a dynamic and inclusive work environment that promotes innovation and collaboration. Our culture emphasizes the importance of teamwork and is dedicated to making a significant impact in the field of biomedicines. We value passionate individuals who are committed to pushing the boundaries of science and technology.
Opportunities For Advancement:
Growth into senior research roles, Opportunities for leadership positions, Involvement in groundbreaking projects
Visa Sponsorship:
Available
]]>Senior Deep Learning Engineer
/jobs/emerging-technologies-and-specialized-roles/senior-deep-learning-engineer/
Wed, 25 Sep 2024 18:00:03 +0000/wne_live/jobs/jobs-categories/senior-deep-learning-engineer/Senior Deep Learning Engineer
Job Description:
We are on the lookout for an experienced Senior Deep Learning Engineer who possesses a keen focus on performance analysis and optimization to maximize the efficiency of Deep Learning training, inference, and NVIDIA AI Services. You will be engaged in multi-layered tasks across the entire hardware and software stack, from GPU architecture to Deep Learning Frameworks, striving to achieve optimal performance. This position presents a unique opportunity to directly influence the hardware and software trajectory within a fast-paced organization that is at the forefront of the AI revolution. Join our dynamic team, which is responsible for developing software utilized globally. You will collaborate with elite software engineers to implement remarkably fast state-of-the-art deep learning models that facilitate a comprehensive understanding of NVIDIA's deep learning software and hardware ecosystem. You will have the chance to work on the most powerful enterprise-grade GPU clusters capable of delivering extraordinary performance metrics and gain early access to unreleased hardware. Are you ready to take on this exciting challenge?
IT Languages:
Python
CUDA
TensorFlow
PyTorch
JAX
As a Senior Deep Learning Engineer, you will be responsible for implementing and optimizing deep learning models across various data domains and frameworks. Your work will be critical in enhancing the performance and usability of our systems.:
Develop deep learning models corresponding to different data types including Computer Vision, Natural Language Processing, Automatic Speech Recognition, Text-to-Speech, and Recommendation Systems using various frameworks such as PyTorch, JAX, TensorFlow, and more.;; Test and integrate new software features such as Graph Compilation and reduced precision training that leverage the latest hardware capabilities.;; Conduct thorough analysis, profiling, and optimization of deep learning workloads on cutting-edge hardware and software platforms.;; Collaborate with researchers and engineers across the organization to provide insights for improving workload design, usability, and performance.;; Establish best practices for the development, testing, and deployment of deep learning software.
Spoken Languages:
English;; German
Skillset:
Deep Learning Frameworks
Performance Analysis
Software Optimization
GPU Programming
Containerization Technologies
Soft Skills:
Analytical skills
Problem-solving abilities
Collaboration skills
Attention to detail
Qualifications:
Bachelor’s, Master’s, or PhD degree in Computer Science, Computer Architecture, or a related technical field
Extensive experience in deep learning model implementation and software development
Years of Experience:
5
Location:
Europe
Job Benefits:
Competitive salary
Flexible working hours
Health and wellness programs
Professional development opportunities
Collaborative work environment
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture of innovation and creativity, encouraging our employees to think outside the box and take initiative in their work. Our diverse workforce thrives in an inclusive environment where every voice is valued and collaboration is key to our success.
Opportunities For Advancement:
Career growth within the engineering team, Access to cutting-edge technology and resources, Opportunities to lead projects and initiatives
Visa Sponsorship:
Available
]]>Principal Engineer, Deep Learning
/jobs/emerging-technologies-and-specialized-roles/principal-engineer-deep-learning/
Sun, 22 Sep 2024 16:40:01 +0000/wne_live/jobs/jobs-categories/principal-engineer-deep-learning/Principal Engineer, Deep Learning
Job Description:
We are seeking a Principal Engineer specializing in deep learning to join our dynamic team focused on revolutionizing the logistics industry with autonomous electric trucks. In this pivotal role, you will be responsible for shaping and executing the technical strategies related to our deep learning models that underpin our autonomous vehicles. Your expertise will guide the design and implementation of sophisticated neural networks for perception systems that must operate in complex environments, such as distribution yards filled with traffic and personnel. Collaborating closely with a talented and motivated engineering team, you will ensure that our innovative solutions not only meet but exceed the expectations of our Fortune 200 customers. Your contributions will have a direct impact on the future of sustainable freight transportation, where safety and efficiency are paramount.
IT Languages:
Python
Pytorch
TensorFlow
Numpy
Scikit-learn
As a Principal Engineer, you will lead the development of advanced deep learning solutions for autonomous vehicle perception.:
Design and implement neural networks that operate in real-time on autonomous vehicles;; Provide mentorship and technical guidance to the deep learning team;; Communicate project evaluations and results to company leadership;; Enhance existing deep learning tools related to data processing and evaluation metrics;; Coordinate cross-functional efforts to ensure seamless integration with other components of the autonomy system
Spoken Languages:
English;; German
Skillset:
Deep learning frameworks
Neural network design
Data evaluation
Model deployment
Technical documentation
Soft Skills:
Excellent communication skills
Ability to work in a collaborative team environment
Strong problem-solving capabilities
Leadership and mentoring abilities
Qualifications:
Bachelor’s or Master’s degree in Computer Science or a related field
Proven experience in deep learning and machine learning applications
Years of Experience:
5
Location:
Europe
Job Benefits:
Annual career development stipend
Home office setup allowance
Flexible work schedule
Remote work opportunities
Business travel to headquarters
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster an inclusive work environment that values diversity in perspectives and experiences. Our culture encourages innovation and collaboration, ensuring that every team member's contributions are recognized and valued.
Opportunities For Advancement:
Potential for leadership roles, Opportunities to work on cutting-edge technology projects, Professional development and training programs
. This novel approach allows us to computationally generate breakthrough medicines rather than relying solely on traditional discovery methods. Our advanced machine learning-powered platform has the potential to create new drugs across various biologic modalities, representing a paradigm shift in biotherapeutic development. We are on a mission to harness the revolutionary capabilities of generative biology to transform the lives of billions, focusing on patients who need it the most. As we expand, we seek individuals who are passionate about making a significant impact through collaborative problem-solving. The machine learning team is integral to our efforts, developing generative models and algorithms to produce novel proteins efficiently. We utilize our deep understanding of generative modeling and protein biophysics to create cutting-edge systems that work in tandem with our computational and wet lab teams, ultimately leading to the development of new therapeutics. The role involves close collaboration with diverse teams to maximize the potential of both internal and external data, contributing to the design and scaling of state-of-the-art applications in protein design.