Machine Learning Engineer

We are looking for a Machine Learning Engineer to join our Automation team. As a key member of Automation Team, you will help orchestrate the machine learning lifecycle within Cognitiv. Your role will involve creating efficient and robust systems to update training datasets, train and evaluate deep learning models, and deploy those models into production on behalf of our clients. The goal of the team is to maximize the efficiency of our Campaign Management team, thus enabling rapid experimentation and iterative refinement while maintaining operational excellence. The ideal candidate has an interdisciplinary spirit and a mastery of excellent software engineering and machine learning operations practices. We are looking for candidates who are excited about working in a fast-paced environment at a rapidly growing company and are ready to take on the challenge of building cutting edge deep learning applications. Join our team and grow with us in this important and collaborative role.

This position will be located in the Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

Responsibilities

• Assist with the design and implementation of machine learning pipelines for model training, deployment, and monitoring
• Perform data manipulation and analysis to support automated model training and evaluation
• Participate in code reviews and contribute to the development of reusable ML software components
• Collaborate with data scientists and data engineers to understand model requirements and integrate with existing infrastructure
• Implement monitoring and alerting systems to track model performance and identify potential issues
• Document processes and procedures for future reference
• Stay up to date with the latest advancements in machine learning operations, best practices, and technologies
  
  
  

Requirements

• Bachelor’s Degree in a relevant field (e.g. Computer Science, Mathematics, Engineering)
• Understanding of core machine learning and deep learning concepts (e.g. linear/logistic regression, decision trees, neural networks)
• Experience within the big data ecosystems (e.g. Spark, Flink, Hive, Presto)
• 2+ years industry experience in engineering roles in machine learning and/or data science/analytics
• Proven track record of delivering quality products both individually and as part of a team
• Experience within the Python data science ecosystem (e.g. NumPy, SciPy, scikit-learn, Jupyter)
• Advanced proficiency in relevant programming languages (e.g. Python, Scala, C#)
• Cloud experience (e.g. AWS, Azure, GCP)
• SQL experience
  
  
  

Preferred Qualifications

• Master’s or Ph.D. in a relevant field (e.g. Computer Science, Mathematics, Engineering)
• Experience with one or more deep learning framework (e.g. PyTorch, TensorFlow, MXNet)
• NoSQL experience
• AWS Experience
  
  
  

Salary

• $100,000-$125,000 Base Salary + Equity