Machine Learning Engineer - Talent Pool
Job Description
Join us at the forefront of AI innovation as we seek passionate Machine Learning Engineers to be part of our talent pool. Our mission is to drive the adoption of AI technologies across various industries through tailored B2B solutions and impactful research projects. We operate in diverse sectors such as automotive, manufacturing, retail, and healthcare, serving as an external machine learning department to transform businesses. As a member of our talent pool, you will be among the first to be considered for exciting opportunities as they arise, allowing you to make a significant impact in the world of AI.
Key Responsibilities
As a Machine Learning Engineer, you will be responsible for several key aspects of project development and execution.
- Define the scope of machine learning projects and evaluate their technical feasibility by interacting with clients
- Implement machine learning methods and apply them to real-world challenges
- Contribute to the enhancement and development of our internal AI stack and open-source projects
- Collaborate with data scientists, backend developers, and frontend engineers to create production-ready AI solutions
- Steer machine learning projects from initial concept through to deployment
Required Technical Skills
Soft Skills
Qualifications
- MSc or PhD in computer science, Machine Learning, or related field
- Strong programming skills in Python
- Experience with deep learning frameworks such as PyTorch
- Familiarity with cloud platforms like Google Cloud Platform, AWS, or Azure
- Proven track record of delivering complex technical projects
Language Requirements
Programming Languages:
Python
Spoken Languages:
English, German
Benefits & Perks
- ✓ Flexible work-from-home policy (hybrid)
- ✓ New office located on the AI Campus in Berlin
- ✓ Visa sponsorship available
- ✓ Monthly hardware allowance
- ✓ Monthly stipend for mobility, sports, or groceries
- ✓ Access to unique insights into applied machine learning research
- ✓ Commitment to ethical AI development
- ✓ Dynamic working culture with flat hierarchy and open feedback
- ✓ Annual budget for learning and development opportunities
Working Conditions
Full Time
Company Culture
We pride ourselves on fostering a diverse and inclusive environment where creativity and innovation thrive. Our team comprises individuals from various backgrounds, and we believe that collaboration and open communication are the keys to success. We prioritize work-life balance and encourage continuous learning and professional growth through regular events and educational resources.
Salary Range
Project Types: Not Available
Career Growth: Career development through mentorship, Access to cutting-edge research and development projects, Possibilities for promotion into senior roles