Deeplab combines high-end software technologies with state-of-the-art machine learning and data science research to provide services and products to deal with challenging real-life problems. This is a chance for you to join a dynamic, rapidly evolving ML/AI organization committed to research, innovation and excellence with a culture that bridges the gap between academic rigor and entrepreneurial agility. We foster an environment where the methodical, research-driven pursuit of knowledge meets innovative, fast-paced decision-making. This synergy fuels our pursuit of excellence and innovation in practical real-life problems.
The Team
We are currently expanding our Recommender Systems team, part of an international research and development partnership with a world-leading AdTech platform. Our team deals with disruptive projects from ideation to productization, combining innovative ML concepts with cutting-edge production technologies, within a system that serves millions daily users. You will be joining an interdisciplinary team comprising passionate ML engineers with backgrounds in both research and software development.
The role
We seek outstanding and enthusiastic Senior Machine Learning Engineers with an exceptional record, who share our passion for challenging problem-solving applied to industrial problems. You will get a chance to work with cross-functional teams, both internally and together with our external collaborators, and find great opportunities to further develop yourself and Deeplab.
Candidates should have a proven machine learning background, as well as in-depth understanding and hands-on practical experience in production-grade development and big data tools. Experience in at least one relevant domain dealing with real-world data is expected (RecSys, computer vision, natural language processing, speech recognition, etc.). Previous experience in leadership of projects or technical teams, or the willingness and skill set required to pursue such opportunities will also be considered.
Responsibilities
- Develop machine learning algorithms and infrastructure.
- Write production-grade ML code, perform experimentation and benchmarking.
- Statistical modeling, data analytics and deep learning.
- Ensure algorithms and models are optimized for both computational efficiency and scalability to handle large-scale datasets.
- Independently plan, lead, and help execute challenging ML projects.
- Combine business concepts with ML-centric solution design to improve product-facing KPIs
- Stay updated with the latest advancements in machine learning methodologies to ensure Deeplab's solutions remain at the cutting edge.
- Collaborating with a cross-functional international team that brings together the best in class AI and Software Engineering to tackle the scientific challenges Deeplab is looking to find solutions for.