Machine Learning Engineer
Movable Ink is a software company that provides marketers with technology and expert services to create unique customer experiences.
Job Description
As a machine learning engineer, you will be part of our Applied AI and Machine Learning team. You will work alongside other scientists and engineers in a collaborative environment, contributing features and machine learning models to our core recommender systems and our DaVinci Personalization product. This is an opportunity to work end-to-end on a large-scale machine-learning system that touches millions of customers, and a chance to continuously learn and help improve our solution as the field evolves.
Responsibilities:
- Generate insights into customer behavior and derive modeling ideas for improving our content recommender system
- Work with data engineers to define what additional customer data we might want to collect and help make it available in a format suitable for modeling purposes
- Create meaningful machine-learning features that improve our content recommender’s performance measured through offline metrics and online a/b tests
- Build machine learning models and deploy them as part of our recommender system
Qualifications:
- Master’s degree or equivalent experience (2+ years) in a relevant field or industry
- Solid understanding of machine learning fundamentals
- High comfort level in Python or other programming language
- Familiarity with an ML stack such as typical scientific Python libraries (pandas, numpy, sklearn, xgboost) or deep learning frameworks (we use Pytorch)
- Familiarity with data analysis through SQL or a big-data processing framework such as Spark
- Ability to collaborate with technical partners – you’ll be working closely with other teams to determine requirements for your work and to make design decisions that affect our stack
- The idea of writing and deploying production code, and getting real-world feedback on your models excites you
- A desire to always be learning and contributing to a collaborative environment
The base pay range for this position is $150,000 - $180,000 USD/year. 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.
As a machine learning engineer, you will be part of our Applied AI and Machine Learning team. You will work alongside other scientists and engineers in a collaborative environment, contributing features and machine learning models to our core recommender systems and our DaVinci Personalization product. This is an opportunity to work end-to-end on a large-scale machine-learning system that touches millions of customers, and a chance to continuously learn and help improve our solution as the field evolves.
Responsibilities:
- Generate insights into customer behavior and derive modeling ideas for improving our content recommender system
- Work with data engineers to define what additional customer data we might want to collect and help make it available in a format suitable for modeling purposes
- Create meaningful machine-learning features that improve our content recommender’s performance measured through offline metrics and online a/b tests
- Build machine learning models and deploy them as part of our recommender system
Qualifications:
- Master’s degree or equivalent experience (2+ years) in a relevant field or industry
- Solid understanding of machine learning fundamentals
- High comfort level in Python or other programming language
- Familiarity with an ML stack such as typical scientific Python libraries (pandas, numpy, sklearn, xgboost) or deep learning frameworks (we use Pytorch)
- Familiarity with data analysis through SQL or a big-data processing framework such as Spark
- Ability to collaborate with technical partners – you’ll be working closely with other teams to determine requirements for your work and to make design decisions that affect our stack
- The idea of writing and deploying production code, and getting real-world feedback on your models excites you
- A desire to always be learning and contributing to a collaborative environment
The base pay range for this position is $150,000 - $180,000 USD/year. 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.
