Staff Machine Learning Engineer (MLE)

Responsibilities:

• Design and develop ML solutions that involve the processing of large-scale data sets.

• Help define requirements, create software designs, implement code to these specifications, and support products while deployed and used by our customers.

• Work with Product Managers, Software Engineers, and Data Scientists to invent, design and deliver Machine Learning solutions in production; both customer and internal facing.

• Develop ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.

• Develop data-driven feedback loops and real-time decision-making frameworks to provide the best experience for our customers.

• Prior domain knowledge in NLU is a plus, though not required. However, strong motivation to learn ML, AI, and NLU is critical for a candidate to be successful in the role.

Qualifications: 

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Experience with Apache Spark and Amazon AWS platform (SageMaker, Redshift, EMR, Glue, Step Functions, Lambda, Batch, etc.).

• 5+ years of leading design or architecture (design patterns, reliability, and scaling) of new and existing systems experience

• Experience as a mentor, tech lead, or leading an engineering team

• Effective communicator (written and verbal)

• Experience in deep learning libraries/techniques in the area of NLU and reinforcement learning strongly preferred

• Understanding of OO design, algorithms, and data structures

• Aptitude to quickly learn new languages and technologies as necessary

• Computer Science or a related degree preferred