Role overview
To Apply for this Job Click Here
Machine Learning Engineer
A high-growth SaaS company in the e-commerce and martech space is seeking a Machine Learning Engineer to build and scale the ML foundation powering its next generation of smart automation and personalization tools. This is an opportunity to influence core product direction and shape the company’s machine-learning systems from day one.
What you'll work on
- Build and deploy machine-learning models that drive personalization, optimization, and analytics.
- Develop scalable data pipelines, ETL workflows, and feature engineering systems.
- Work with large datasets: ingestion, cleaning, transformation, and warehousing.
- Collaborate with engineering and product teams to integrate ML features.
- Conduct A/B tests, evaluate model performance, and iterate quickly.
- Optimize model efficiency, reliability, and deployment processes.
- Establish best practices for data collection, tracking, and instrumentation.
At Goodwin Recruiting, we are committed to our core values and providing world class customer service. We are committed to helping our clients navigate and comply with the complex and ever-changing labor laws as well as help ensure that in every hiring decision, internally and with our client partners, that all viable candidates are considered, and the most qualified candidate is offered the role. We evaluate the knowledge, skills, and abilities that meet the requirements of the position and aim to open doors and change lives. We value all people, understanding that uniqueness and diversity foster a stronger team that is innovative and brings varying perspectives to the table. We put our money where our mouth is and are proud of our efforts to identify a broad slate of candidates, with many hiring success stories to share.
JOB ID
: 168617 #post
Emily Lauro
What we're looking for
- Experience with SaaS, e-commerce, or martech analytics tools.
- Familiarity with recommendation systems or behavioral prediction models.
- Exposure to Shopify ecosystem data (not required, but a plus).