As a Senior Machine Learning Engineer (Recsys), you will play an instrumental role in advancing our core machine learning solution and infrastructure. The fast pace of research and product releases in this field means that there is always something new and exciting to work on, which keeps the role engaging and challenging. By combining digital marketing and AI, you have the potential to make a significant impact on the way businesses interact with their customers. 

Responsibilities

• You will work end-to-end from data analysis to building scalable models and deploying them to production as commercial products that meet the needs of our clients
• Work on recommender-system related challenges such as creating models that learn user profiles, work on ranking problems, and figure out how to evaluate model performance offline and online
• See through feature release to measurement of tangible business value in a six-weekly release cycle
• Collaborate with data engineers and platform engineers on advancing our ML platform to continuously improve Movable Ink’s ML development experience.

Requirements

• 6+ years SWE experience, including 3+ years of machine learning experience
• Master’s degree or equivalent experience in Computer Science, Mathematics, Engineering, or related technical field
• Experience building and training models using common deep learning frameworks (we use PyTorch), as well as other typical scientific and ML libraries in Python (sklearn, XGBoost, etc.)
• Expertise building production recommender systems
• Expertise with traditional machine learning frameworks (sklearn, XGBoost, etc.)
• Solid understanding of machine learning theory and fundamentals
• Solid software engineering skills (design, unit testing, git, code review, CI/CD)
• Experience with large-scale data processing frameworks (SQL, PySpark)
• Experience with cloud computing platforms (GCP)
• Able to collaborate with ML researchers, product managers, and other engineering teams
• A desire to always be learning and contributing to a collaborative environment

The base pay range for this position is $180,000 - $220,000 USD/year, which can include additional on-target commission pay/bonus. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.