Research Engineer

Summary

Join Emplifi's Innovation Team as a Researcher, where you'll be at the forefront of researching new technologies and building prototypes of groundbreaking features. You'll collaborate with research staff to deliver innovative functionality to our products. Ideal candidates are playful developers experienced in both AI research and software engineering, capable of autonomously designing and solving complex problems. This role requires a natural-born problem solver with strong coding and system design skills.

Requirements

• Technical background, preferably MSc. level in STEM, and at least 3 years in a technical position as a developer/researcher
• Experience with common machine learning concepts and software engineering principles
• Hands-on experience with either natural language processing or computer vision, and system design

Responsibilities

• Engage in the research of new technologies and the coding of prototypes, constantly and quickly acquiring new skills in AI and software development
• Collaborate with team members to achieve set goals and be involved in the architectural design and implementation of software systems
• Support and maintain existing features deployed by the Innovation team, including intense communication with other stakeholders, explaining feature functionality, and continuously educating them
• Develop and maintain APIs and service-oriented architectures, ensuring scalability and efficiency
• Understand the non-trivial backends and logic of delivered features, capable of explaining their workings to non-technical stakeholders (sales, and account managers)
• Proactive team player and communicator, seeking support from various teams and capable of working simultaneously with multiple people on an ad-hoc basis
• Highly practical and user/customer-focused, always questioning the scalability/usability of projects

Preferred Qualifications

• Python, SQL, Pyspark, ML/AI, software design patterns, code versioning, and bug tracking systems
• Experience with common data science toolkits, such as Numpy, Pandas, Scikit
• Good applied statistics skills with a strong foundation in system architecture and API development

Benefits

• Unlimited Vacation, 3 sick days, home office
• Internal tech talks, Udemy courses, and workshops
• Meetups & conferences
• Multisport card
• Agile and open-minded culture, with high levels of trust and flexibility
• Possibility to learn new and cutting-edge technologies in an environment that encourages new ideas
• Work in an international environment in our new modern offices in Karlín
• Chance to compete in a ping-pong tournament or to enjoy table football, Playstation , Ergonomic exercise, or run with colleagues, and nearly all year-round grilling parties and other team-building opportunities