Principal Machine Learning Engineer leading AI and Machine Learning systems at Bumble for recommendations and personalization. Driving improvements in user engagement and safety across Bumble products.
DR
Hybrid Internship – Technology Development, Software Programming, Computer Vision, Machine Learning
Posted last month
About the role
- Intern supporting the development of algorithms in technology applications for medical and safety engineering. Joining a multidisciplinary team focused on innovative solutions for life-saving technology.
Responsibilities
- Support in developing novel algorithms and methods for data-driven applications
- Work in an interdisciplinary team of developers, market experts, and potential customers
- Development of intelligent sensor systems for the control of anesthesia and ventilation devices
- Further development of mobile and stationary gas measurement device fleets as well as camera-based monitoring systems
Requirements
- Enrolled in Electrical Engineering, Physics, Computer Science, Mathematics, or a comparable degree program (preferably from the 4th semester onward)
- Ideally, initial experience with tools such as TensorFlow, scikit-learn, OpenCV, or the Point Cloud Library
- For a focus on Data Engineering: ideally initial experience with modern (NoSQL) database systems, distributed storage systems, and stream processors such as Apache Spark or Flink, as well as cloud platforms
- Initial programming experience in software development (C/C++, Python and ideally C#, Java)
- Interest in applying your theoretically grounded working style and creativity in practice to develop innovative solutions and to put yourself in the shoes of our application domains and users
Benefits
- Flexible working hours
- Mobile/remote work possible
- Company laptop
- Individual onboarding and training
- Networking events
- Company-sponsored leisure and professional development programs
- Company sports and preventive health courses
- Health center and gym
- Discounts at local fitness centers
- On-site childcare and parent-child offices
- Subsidized company cafeteria
- Good transport links & parking
- Events for employees and their families
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Software Engineer delivering MLOps solutions for Generative AI at DataGalaxy. Focusing on reliability and collaboration with product engineering teams in a hybrid environment.
Senior Machine Learning Engineer responsible for designing, building, and deploying ML solutions. Joining a global tech group tackling high - impact projects in Buenos Aires.
Principal Machine Learning Engineer at Qodea responsible for leading ML model lifecycle and collaborating on AI solutions in Buenos Aires delivery center.
Lead ML Ops Engineer for a fast - growing AI startup focused on scalable infrastructure. Drive hands - on execution across the entire model lifecycle in a collaborative environment.
Lead Machine Learning Engineer creating personalized item recommendations for Target.com and the Target App. Designing and optimizing production ML solutions with a team of data scientists and engineers.
Senior Machine Learning Engineer at Doctrine focusing on developing NLP models for legal document processing. Join an ambitious team to innovate within the field of legal technology.
Senior ML Engineer developing scalable production ML systems across various teams in JobCloud. Leading innovation in the AI - driven recruitment landscape, improving job ad visibility and performance.
MLOps Engineer responsible for designing and maintaining ML pipelines at JobCloud. Collaborating with teams to productionize ML models and ensuring robust system performance.
Senior Machine Learning Engineer at greehill developing ML solutions for sustainable urban living. Leading projects in Computer Vision and Deep Learning to transform urban environments.