Machine Learning Scientist

Roles & responsibilities

• Work with other stakeholders to gain new insights from data by employing statistical and/or machine learning models.

• Employ fast experimentation, iterations, and exploratory data analysis to reduce time to market.

• Work with data-infrastructure engineers to build up top-notch data infrastructure and tools.

• Write clean, maintainable, and well-commented source code.

• Work in a cross-functional team that takes ownership of the full software lifecycle.

• Independently read relevant literature and share your insights and knowledge with other stakeholders.

• Collaborate with other teams to make optimal software architecture design decisions.

Qualifications

• Master’s degree or PhD in computer science.

• 2+ years of industry work experience or equivalent.

• Exceptional academic track record with expertise in data science, statistics, machine learning, and/or artificial intelligence.

• Expertise in deep learning frameworks such as TensorFlow and/or PyTorch. Hands-on experience with training deep learning models such as CNN, RNN, and/or graph NN. Familiarity with traditional machine learning models.

• Exceptionally strong understanding of fundamentals and problem solving skills.

• Strong verbal and written communication skills.

• Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.

• Programming skills in C++, Python, JavaScript, and/or Go.

• Consistently professional demeanor in alignment with our values of integrity and excellence in the workplace.