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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.
Machine Learning Engineer Benefits & Compensation
- Competitive salary based on experience.
- Opportunities for ownership and autonomy in projects.
- Dynamic work environment with a focus on innovation and growth.
Machine Learning Engineer Requirements & Qualifications
- 2–5 years of ML engineering, data science, or data engineering experience.
- Strong foundation in ML algorithms, model development, and statistics.
- Hands-on experience with Python, SQL, and modern ML frameworks.
- Experience deploying ML systems to production environments.
- Familiarity with data architecture, database design, and scaling data systems.
- Strong problem-solving skills and a bias toward action.
Machine Learning Engineer Preferred Background & Skills
- 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).
Machine Learning Engineer Day-to-Day Responsibilities
- 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
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Emily Lauro