Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
About the role
- Spring Internship - Machine Learning Engineer at G+D Netcetera, gaining hands-on experience in machine learning. Collaborate on projects and develop data-driven models in a supportive environment.
Responsibilities
- Contribute to ongoing, real-world projects
- Work with modern technologies and tools
- Receive guidance and continuous support from a dedicated mentor
- Collaborate with experienced professionals across teams
- Gain knowledge and experience in a selected specialization through hands-on learning
- Develop, implement, assess, and enhance data-driven models using various machine learning techniques
- Utilize multi-modal large language models (LLMs) for different downstream tasks in specific domains
- Perform ad-hoc analysis and present findings in a clear and concise manner
- Familiarize yourself with the assigned project ecosystem and its mission
- Actively participate in team coordination meetings and events
Requirements
- As a computer science student, you excel in a team-oriented environment, possess strong communication skills, and demonstrate familiarity with or interest in the following areas:
- Descriptive and predictive data analysis, data visualization, and evaluation
- Traditional machine learning approaches and deep learning (NLP, time series, etc.)
- Strong working knowledge of Python and key data science libraries like Scikit‑Learn, Pandas, PyTorch, Transformers
- Familiarity with the use of large language models (LLMs), retrieval augmented generation (RAG) and agentic concepts (MCP, A2A, etc.)
- Advantageous to have general computer science and software development skills
Benefits
- Flexibility: Adjust your time to work efficiently, be it working hours, part-time options, home office in our hybrid mode of work which will allow you to take care also of your studies and exams
- Education Fund: We'll get you couple of online courses for easy onboarding on the project that you'll work on
- Meals & Snacks: Enjoy a lunch allowance each working day, free fruit and drinks in the office
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Senior ML Platform/Ops Engineer at Preply building and maintaining ML pipelines, collaborating with ML Scientists and Data Engineers.
Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.
Machine Learning Engineer focusing on vulnerabilities and security of AI systems at Carnegie Mellon University. Collaborating with a team to build robust prototypes and provide solutions for government sponsors.
Lead machine learning engineer developing solutions for Army enterprise AI and ML team. Collaborating with experts to deliver cutting - edge analytics and models for real - world challenges.
Machine Learning & Signal Processing Scientist at BlueGreen Water Technologies analyzing multi - source environmental data. Focused on developing algorithms and models for signal processing and machine learning techniques.