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Machine Learning Engineer

Goodwin Recruiting

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Location:
United States, New York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

120000.00 - 150000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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)
What we offer:
  • Competitive salary based on experience
  • Opportunities for ownership and autonomy in projects
  • Dynamic work environment with a focus on innovation and growth

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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