High-performance Computing – Who Needs Engineers

High-performance Computing – 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 High-performance Computing – 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:

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 ]]> 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:

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.:

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:

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 ]]> Bioinformatician / Data Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/bioinformatician-data-scientist/ Tue, 24 Sep 2024 14:00:03 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/bioinformatician-data-scientist/ Bioinformatician / Data Scientist

Job Description:

Join us in tackling some of the most significant challenges in data science related to plant breeding, contributing to sustainable food production for the future. We are seeking a Bioinformatician / Data Scientist to be filled as soon as possible. This role is based at our headquarters in Einbeck, Lower Saxony, Germany, and offers a permanent full-time contract. In this position, you will engage in advanced plant breeding, employing modern data science methodologies. A proactive and creative mindset will be essential as you collaborate with breeding and research teams worldwide to develop innovative solutions. Your work will focus on building new data structures and analytical methods to address emerging challenges in breeding and molecular biology research, utilizing cutting-edge technologies such as large language models on biological datasets. You will apply machine learning tools for text mining to identify candidate genes for trait development and contribute to our internal biological recommendation systems by integrating various data sources, including multi-omics data. Proactively identifying and testing new analytical strategies will be crucial as you work effectively with cross-departmental teams and external academic and industry partners in a matrix environment. You will play a key role in shaping scientific and strategic priorities to accelerate portfolio advancement.

IT Languages:

Python
R
Rust
C/C++

The job involves various responsibilities aimed at enhancing data utilization and collaboration in plant breeding.:

Develop and implement new data structures and analytical methods for breeding and molecular biology research;; Utilize modern technologies, including large language models, on biological data to generate innovative solutions;; Apply machine learning techniques for text mining to identify candidate genes for trait development;; Contribute to internal biological recommendation systems by integrating multi-omics and other data sources;; Proactively identify and evaluate new approaches and strategies for data analysis;; Collaborate effectively with internal teams and external partners to advance scientific initiatives;; Support and lead initiatives in a matrix environment to drive portfolio development

Spoken Languages:

English;; German

Skillset:

Deep Learning
Keras
TensorFlow
PyTorch
Structural Computational Biology
Protein Design
Molecule Docking
No-SQL Databases
Graph Databases
Vector Databases
High-Performance Computing

Soft Skills:

High initiative
Independent working style
Effective communication skills

Qualifications:

PhD in Computational Biology, Bioinformatics, Data Science or MSc in related fields with relevant experience
Experience in computational and programming skills with demonstrated expertise in programming languages

Years of Experience:

Location:

Einbeck, Lower Saxony, Germany

Job Benefits:

Flexible working hours with remote working options
Subsidized canteen with healthy meal options
Company pension scheme
Financial incentives for company shares
Childcare subsidies
Job bike and job ticket

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

We are a family-owned business that values proximity, reliability, foresight, and independence, fostering an open and friendly working atmosphere. Our motto 'Make yourself grow' reflects our commitment to supporting the professional and personal development of our employees.

Opportunities For Advancement:

Professional development opportunities, Collaborative projects with academic and industry partners

Visa Sponsorship:

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:

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 ]]>