Senior Machine Learning Engineer

• Review the code of the rest of the team to ensure it meets company performance and readability standards.
• Mentor machine learning engineers, helping them fully develop their ML and coding skills.
• Cultivate innovation by researching and proposing new projects for the team as a whole.
• Take full ownership of a project and delegate tasks to junior ML engineers.
• Give feedback to machine learning engineers around opportunities and challenges.
• Devote time to learning new and relevant tools, processes, and technologies, and then teach those new learnings to the rest of the team.
• Demonstrate mastery in Python, including Pandas, NumPy, at least one data visualization library (e.g. Matplotlib, Seaborn), and at least one ML library (e.g. Scikit-Learn, Keras, PyTorch).
• Partner with the manager and PM to discuss and decide upon implementation and prioritization.
• Demonstrate mastery of core computer science concepts, including common algorithms and data structures.
• Understand core ML concepts with the ability to build an end-to-end ML pipeline.
• Validate hypotheses, reveal data inconsistencies, and uncover hidden insights through exploratory data analysis.
• Deeply explore the business domain of a project, including how it may present limitations on a model's design.
• Anticipate the challenges associated with ML models in production and design efficient, elegant solutions to these (e.g. retraining strategies, monitoring alerts).
• Deploy ML models on AWS providing APls to access them (main stack: Docker, Flask). *Remote work/telecommuting permissible.

Must have a Master’s degree in Computer Science, Computer Engineering, or a related field and 18 months of experience in a job offered or related position in the Computer Science or Computer Engineering fields.

Must have experience and/or coursework with the following skill sets:

1. Machine Learning models implementation and evaluation
2. Deep Learning models implementation and evaluation
3. Python
4. Amazon Web Services (AWS)
5. At least one data visualization library like Matplotlib or Seaborn
6. At least one Machine Learning library like Scikit-Learn, Keras, or PyTorch

Candidates must possess work authorization for their intended country of employment. Wonderlic, Inc. offers a competitive compensation package with salary and bonus incentives, complete medical/dental/life insurance programs, and 401k.