Senior Machine Learning Engineer

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

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

Requirements

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

Benefits and Opportunities

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