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Ein innovatives, aufstrebendes Unternehmen sucht nach talentierten Ingenieuren, die bereit sind, ihre technischen Fähigkeiten einzusetzen, um bahnbrechende KI-Modelle zu entwickeln. In einem dynamischen und internationalen Team haben Sie die Möglichkeit, an der Spitze der Technologie zu arbeiten und Ihre Ideen in die Tat umzusetzen. Sie werden an der Entwicklung und Wartung eines skalierbaren ML-Backends beteiligt sein und die Ergebnisse Ihrer Forschung präsentieren. Mit attraktiven Eigenkapitalpaketen und einem wettbewerbsfähigen Gehalt bietet diese aufregende Gelegenheit die Chance, Teil eines revolutionären Startups zu werden und die Zukunft der Mediengestaltung mitzugestalten.
MeloTech is revolutionizing the way media assets are created and monetized using the power of technology. We are still in stealth, but our Founder is an experienced Entrepreneur and Investor. Our funding comes from leading VCs and Angels, including Cherry Ventures and SpeedInvest.
Are you ready to unleash your technical skills and develop state-of-the-art AI models? Are you willing to work and collaborate in a team of engineers? Then apply to become part of our founding team!
Research, prototype, finetune and develop state-of-the-art AI models
Work collaboratively and on eye-level with our co-founders and other colleagues from the machine learning and software engineering teams
Independently manage and advance projects within MeloTech’s strategy
Create large, efficient, and automated data processing and machine-learning pipelines
Be involved in the development and maintenance of our scalable ML backend
Present and quantify the results of your research and share it with the engineering team
Degree in machine learning, computer science, electrical engineering, mathematics, physics, or other highly numerical disciplines
3-5 years of working with Python and ML-related libraries as well as deep learning frameworks for generative AI, especially audio/music/signal processing
Excellent knowledge of machine learning, algorithms, linear algebra, data structures, and software engineering
Prior experience in successfully deploying machine learning models into production
Expertise in MLOps practices
Be one of the first employees of our young startup with attractive equity packages and a competitive salary
Flat hierarchies, mutual appreciation, and a collaborative atmosphere in an international, young, and dynamic team
High flexibility around working time and working remotely + 30 days of holiday per year