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Posted on
Jul 17, 2024
Senior Machine Learning Engineer
Mid-Senior ICs
Engineering, Data Science + Analytics
![Movable Ink](https://cdn.prod.website-files.com/63a2d70ffe5e82865b028e60/6512a23352947b8e5179c9ad_image.webp)
Movable Ink
Movable Ink is a software company that provides marketers with technology and expert services to create unique customer experiences.
Job Description
As a Senior Machine Learning Engineer, you will play an instrumental role in advancing our core machine learning solution and infrastructure. The 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
- Your work will fall into one of these areas: algorithmic email send decisioning; content decisioning (recommender systems); asset generation (NLP & generative AI)
- 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 of machine learning experience
- Advanced 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.)
- 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 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. 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 Senior Machine Learning Engineer, you will play an instrumental role in advancing our core machine learning solution and infrastructure. The 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
- Your work will fall into one of these areas: algorithmic email send decisioning; content decisioning (recommender systems); asset generation (NLP & generative AI)
- 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 of machine learning experience
- Advanced 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.)
- 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 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. 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.