Machine Learning / Software Engineer, vidIQ

Responsibilities:

• Work closely with Product Managers and Engineers to frame problems within a 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, and 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 & Skills:

• 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)