Machine Learning Engineer - Team Lead

October 11, 2024

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DeepLab

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DeepLab is a company specializing in advanced machine learning (ML) and artificial intelligence (AI) solutions. They provide scalable ML infrastructure and algorithmic solutions for large-scale products, serving billions of users with big data analytics. DeepLab is involved in cutting-edge research in machine learning and deep learning, working on projects such as recommender systems, cybersecurity, fraud detection, and more. They help businesses integrate AI into their products, offering both the technology and strategic planning for AI adoption. Their expertise includes designing ML infrastructure, model deployment, and performance monitoring, aimed at providing a clear competitive advantage.

Machine Learning • Deep learning • Computer Vision • Speech Recognition • Natural language processing

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🔒 Cybersecurity

📋 Description

• 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. • We are currently expanding our Recommender Systems teams, part of an international research and development partnership with a world-leading AdTech platform. • Our teams deal 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. • We seek an outstanding and enthusiastic Machine Learning Engineering Team Lead with an exceptional engineering background and proven team-leading record, who shares our passion for challenging problem-solving applied to industrial problems. • You will get a chance to lead one of our talented ML teams, a key part of a high-impact and production-oriented R&D department, and find great opportunities to further develop yourself and Deeplab.

🎯 Requirements

• MSc (Electrical & Comp. Eng., Machine Learning, CS), and experience in implementing and benchmarking machine learning algorithms for real-world data. • 5+ total years of industrial or academic experience in machine learning projects in areas such as deep learning, core ML, computer vision, natural language processing etc. • 2+ years (out of aforementioned 5) proven experience in leading and managing ML engineering teams. • Familiar with development processes using Linux, versioning, CI/CD, Docker etc. • Candidates should be proficient in Python, with experience developing, testing, and maintaining production-grade machine learning applications using frameworks such as TensorFlow or PyTorch. • Strong understanding of statistical and mathematical principles underlying machine learning algorithms. • Ability to analyze complex problems and develop innovative solutions. • Ability to build strong relationships in a challenging international environment. • Excellent written and oral communication skills; ability to present complex analyses in a clear, concise and actionable manner. • Nice to have: experience with large scale cluster computing for machine learning modeling. • Nice to have: Experience in sectors like e-commerce or RecSys.

🏖️ Benefits

• Supplementary private health insurance. • Flexible working hours and remote work from home. • Working in high-end AI-tech and having an impact in real-world applications. • Budget for home office equipment to ensure a productive and efficient workspace. • Personal growth opportunities through internal knowledge sharing and self-development budget. • Newly designed inspirational and fresh working environment at our new offices. • Competitive salary depending on qualifications, expertise and experience.