Machine Learning - Software Engineer

September 24

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content marketing • audience development • social media • video

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Description

• Work closely with Product Managers and Engineers to frame problems within business context and deliver the highest impact to our users. • Help establish architecture based on technology and our needs. • Help build, train and test Machine learning models focusing on natural language processing, recommender systems, computer vision. • Design, implement and ship new features. • Write well-crafted, well-tested, maintainable code to convert our ML models into working pipelines. • Participate in code-reviews to ensure code quality and distribute knowledge.

Requirements

• 4+ years of professional software engineering experience (preferably mostly in Python). • 2+ years of experience developing and delivering ML models into production. • Engineering background (preferably in Python) is mandatory. • Knowledge of ML libraries like sci-kit-learn, Tensorflow/Keras and/or PyTorch. • Practical knowledge of how to build efficient end-to-end Data and ML pipelines. • Engineering mindset, with a high degree of comfort in designing software and producing production-grade code. • Ability to turn ML paper into working code. Nice to have: • B.S., M.S. or PhD in Computer Science or related technical field. • Developer-level experience with Kubernetes and Docker. • Experience with data processing technologies (e.g. Spark, Kafka, Airflow). • Experience working with RDBMS and NoSQL data scores (PostgreSQL, DynamoDB and alike).

Benefits

• 100% remote position, work from anywhere you like. • A flexible work schedule where you decide which hours to work. • Unlimited vacation policy. • Paid public holidays based on your location. • Wellness bonus of 100USD on a monthly basis. • Monthly Mobile & Internet service is reimbursed. • Support of your professional development & relevant courses. • Huge impact in the Creator Ecosystem. • Work with amazing people around the world.