Mid-Level Machine Learning Engineer
Athens, Attica, Greece
At Deeplab we combine high-end software technologies with state-of-the-art machine learning and data science research to provide services and products that solve challenging real-life problems. This is a chance for you to get in on the ground floor of an exciting, fast growing AI start-up.
We are currently expanding our interdisciplinary team of experts and seek outstanding and enthusiastic machine learning engineers with an exceptional record to join our team. We are looking for self-motivated candidates, who share our passion for challenging problem-solving applied to tough industrial and research problems. Our team, a key player within an international research and development partnership in the domain of Recommender Systems, deals with disruptive projects from ideation to productization. You will get a chance to work with cross-functional teams, both internally and along with our external collaborators, and find tremendous opportunities to further develop yourself and Deeplab.
Mid-level Machine Learning Engineer candidates should have experience in machine learning, either acquired through previous practical work in a relevant industry/research position, or showcased by their exceptional academic achievements on a related postgraduate degree.
Responsibilities
- Develop machine learning algorithms and infrastructure.
- Write production-grade ML code, perform experimentation and benchmarking, and integrate in complex production systems.
- Statistical modeling and data analytics.
- Apply deep learning in a large scale Ad Recommender System.
- 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.
- Working in a large code base using big data tools and state of the art technologies.
Requirements
- BSc/MSc (Electrical & Comp. Eng., Machine Learning, CS), and experience on implementing and benchmarking machine learning algorithms for real-world data.
- 2+ years hands-on industrial or academic experience on machine learning projects.
- Familiar with development processes using Linux, Git, etc.
- Strong programming skills in Python, and at least one ML framework such as Tensorflow or PyTorch.
- Nice to have: experience in developing for production systems using CI/CD practices; experience with Big Data technologies such as BigQuery, ElasticSearch, MySQL, MongoDB, Spark, Kubernetes, AWS/GCP; publication in a relevant venue (workshop, conference, journal, etc.).
- 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.
Benefits
- Supplementary private health insurance.
- Work with bright research ML engineers, team members and collaborators around the world.
- Working in high-end AI-tech and having an impact in real-word applications.
- Fresh culture mixing academic and start-up values.
- Personal growth opportunities through internal knowledge sharing and reading groups.
- Newly designed inspirational and fresh working environment at our new offices.
- Flexible working hours and remote work from home.
- Competitive salary depending on qualifications, expertise and experience.
About us
Deeplab is a pioneering machine learning startup providing state-of-the-art artificial intelligence R&D solutions to hard real-life problems. At DeepLab we try to bridge the gap between the research and the industry: we aim to advance the scientific state-of-the-art and at the same time to introduce research solutions in large-scale industrial and research projects. We also cultivate and fund academic-industrial synergies to explore new research directions and applications. Our vision is the end-to-end interdisciplinary development and exploitation of ML research providing solutions to hard real-life problems that have actual societal impact in both research and business communities. Recently we have been involved with biomedical projects and more specifically with virtual screening for drug discovery (we are in the top-20 teams, of whom the recommended molecules will be experimentally validated in the wet-laboratory within the framework of Jedi Grand Challenge/competition for COVID-19). At the same time, working together for the last 4 years have created a strong partnership with Taboola, where we have introduced, co-developed and are responsible for the deep learning technology behind two large-scale production pipelines related to personalization and recommendation with impressive up to now results, in collaboration with a group of 50 engineers/scientists: The system serves billions of recommendations per day, with a user base of 1.4B unique users; within this multitude of data we are performing optimization and software architecture tasks by learning complex interactions between users/items. You may find more information about us at deeplab.ai.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data BigQuery CI/CD Data Analytics Deep Learning Drug discovery Elasticsearch Engineering GCP Git Industrial Kubernetes Linux Machine Learning MongoDB MySQL Pipelines Python PyTorch R R&D Recommender systems Research Spark Statistical modeling TensorFlow
Perks/benefits: Career development Competitive pay Flex hours Health care Startup environment
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