Senior Machine Learning Engineer

Posted 09 January 2025
Salary 70000-80000
LocationMunich
Job type Permanent
Discipline Data & AI
Reference72196
Contact NameMichael Sealy
Remote working Hybrid/Flexible

Job description

Senior Machine Learning Engineer (M.F.D)
Munich (Hybrid)


Job Overview
We are seeking an experienced and innovative Senior Machine Learning Engineer with a focus on Natural Language Processing (NLP) to join an innovative team. This role offers a unique opportunity to work on developing cutting-edge NLP projects and novel approaches that are integral to the company's success.

As a Senior Machine Learning Engineer, you will play a critical role in advancing our major platforms in computer vision and document analysis, and you will have opportunities to grow into leadership roles. 

Key Responsibilities
  • Design and develop innovative Natural Language Processing (NLP) models and algorithms, with an opportunity to contribute to projects involving computer vision and document analysis.
  • Collaborate with cross-functional teams to integrate novel machine learning solutions into existing platforms.
  • Conduct research to create and implement new approaches in NLP, extending beyond replication of existing works.
  • Analyze and process large data sets to extract meaningful insights and contribute to our platform's advancement.
  • Continuously improve the performance and accuracy of existing NLP models and contribute to the development of computer vision projects.
  • Stay updated with the latest advancements in NLP, AI technologies, and actively contribute to research publications or open-source projects.

Requirements
  • Master's degree or PhD in Computer Science, Engineering, or related field with a focus on Deep Learning
  • Minimum of 3 years of experience in machine learning, emphasizing NLP or data science
  • Proficiency in Python or R programming languages
  • Strong understanding of machine learning frameworks like TensorFlow, PyTorch, or scikit-learn 
    • Experience in computer vision technologies considered a bonus
  • Working knowledge of VLMs and LLMs
  • Thorough understanding of software design
  • Excellent problem-solving skills and ability to develop new approaches

Benefits and Opportunities
  • Competitive salary and with the potential for equity through ESOP options.
  • Full flexible hybrid working model with flexible working hours
  • Opportunities for professional development and career advancement into leadership roles.
  • Opportunity to work within a forward thinking start up and have an impact in the business growth
  • Work with a dynamic and collaborative team working on cutting-edge technology