Machine Learning Engineer - Talent Pool
Job Description
Join a dynamic Berlin-based AI startup focused on enhancing AI adoption across various industries through innovative B2B solutions and research projects. At our company, we partner with sectors such as automotive, manufacturing, retail, and healthcare, serving as an external machine learning department. Our mission is to harness cutting-edge machine learning technologies and a culture of rapid iteration to design scalable solutions that revolutionize businesses. This position is part of our talent pool initiative, aimed at building a robust pipeline of Machine Learning Engineers for future opportunities. By becoming a member of this talent pool, you will be among the first candidates considered for suitable roles as they arise, allowing you to contribute to exciting AI projects.
Key Responsibilities
As a Machine Learning Engineer, you will be responsible for driving machine learning projects from conception to production, ensuring that solutions are viable and tailored to client needs.
- Define the scope of machine learning projects and evaluate their technical viability through client interactions
- Implement machine learning methodologies and adapt them to practical use cases
- Contribute to the ongoing development and enhancement of our internal AI frameworks and open-source tools
- Collaborate with cross-functional teams, including data scientists, backend, and frontend engineers, to create production-ready AI applications
- Lead projects from the ideation stage through to deployment and maintenance
Required Technical Skills
Soft Skills
Qualifications
- MSc or PhD in computer science, machine learning, or a related technical field
- Strong programming skills in Python
- Experience with deep learning frameworks such as PyTorch
- Familiarity with cloud service providers like Google Cloud Platform, AWS, or Azure
- Proven track record of completing complex technical projects independently
- Knowledge in time series analysis and expertise in areas such as computer vision, natural language processing, or reinforcement learning
Language Requirements
Programming Languages:
Python
Spoken Languages:
English, German
Benefits & Perks
- ✓ Flexible work-from-home policy (hybrid)
- ✓ State-of-the-art office located at the AI Campus in Berlin
- ✓ Visa sponsorship available
- ✓ Hardware allowance for essential job equipment
- ✓ Monthly support for mobility, sports, or groceries
- ✓ Engagement in applied machine learning research
- ✓ Commitment to ethical AI development
- ✓ Dynamic working environment with regular AI innovation events
- ✓ Annual budget for learning and development opportunities
Working Conditions
Full Time
Company Culture
Our team boasts a diverse international background, with team members representing over ten nationalities. We promote a flat hierarchy and encourage open feedback, fostering a collaborative and inclusive atmosphere. We value continuous learning and actively support the professional growth of our employees.
Salary Range
Project Types: Not Available
Career Growth: Access to cutting-edge AI projects, Possibility to lead projects and teams, Opportunities for skill enhancement through workshops and conferences