What We’re About: 

At Looloo, we believe that deep technology will play an increasingly important role in defining the future of all industries. We are driven by a strong passion to solve the challenging problems facing the world today by developing innovative solutions that can lay a foundation for a better tomorrow.

What Your Work Looks Like: 

Our machine learning engineers are responsible for creating innovative approaches to harness the power of data to solve real-world problems. They are fluent in programming and have superior analytical skills. They must have a very strong background in artificial intelligence and machine learning; both in theory and application. We expect our ML engineers to not only be able to train and create machine learning models, but to understand at an intuitive level why some techniques work better than others.

Responsibilities:

• Formulate real-world problems into AI/ML problems
• Research information to gain deeper understanding about the given problem and the appropriate solutions for solving it; may involve reading academic papers
• Write programs to process, sanitize, clean, manipulate data, which may be unstructured
• Build a database/corpus of relevant data for the purpose of machine learning
• Create machine learning algorithms using a combination of existing libraries/frameworks and own code
• Run experiments based on various solutions, analyze results, and produce/present reports to the team
• Productionize AI/ML systems in order to solve the assigned problems

Preferred requirements & competencies:

• Bachelor’s degree or higher in Data Engineering, Computer Engineering, Data Science or other related fields
• At least 1-2 years of experience in creating AI models.
• Having knowledge and understanding of the stock market, financial products, technical graphs, and securities trading theory is required.
• Good understanding of the foundation of artificial intelligence and machine learning both in theory and application
• Experience in developing and deploying Machine Learning models
• Familiar with machine learning frameworks such as Tensorflow or PyTorch
• Can write complex programs fluently and efficiently
• Strong analytical skills. Can investigate and fix models’ performance issues

What We Value

• Team members who aren’t satisfied with surface-level answers.
• People who have a high sense of ownership in the work that they do and actively find ways to continually improve their quality of work.
• Team players who are always looking for ways to help out others.
• Adaptive, thoughtful, and introspective; willing to learn, teach, lead and follow.