Remote Senior Machine Learning Engineer

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Shiftsmart

πŸ“Remote - United States, Canada

Job highlights

Summary

Join Shiftsmart, a rapidly growing company building the Amazon of labor, and become a Machine Learning Engineer. You will architect, design, and build high-performance ML systems, develop and deploy large-scale models, and contribute to a collaborative engineering culture. This role requires 5+ years of experience in machine learning and software engineering, expertise in Python and related tools, and a proven ability to work with large datasets. Based in New York City, this position offers competitive salary, equity, comprehensive healthcare, 401k matching, generous parental leave, and unlimited PTO.

Requirements

  • Machine learning expert: 5+ years of machine learning and software engineering experience, including the end-to-end, ground-up ML projects typically found in early-stage start-ups
  • Large dataset wrangler: Track record of working with very large datasets to solve business problems by iteratively training and deploying highly performant machine learning models into production
  • Programming expert: Hands-on programming skills in Python (or similar languages), data manipulation (SQL, pandas), and machine learning tools (scikit-learn, XGBoost, etc.)
  • Business acumen: You can understand the Shiftsmart business from multiple perspectives using your business savvy, customer focus, financial acumen, and technical savvy
  • Results-driven: You are driven for results, taking the initiative to plan and execute projects from scratch in rapidly evolving environments, with significant complexity and ambiguity
  • Collaborative: You can build collaborative relationships and influence the overall product roadmap using your communication skills to effectively partner with leadership and cross-functional teams

Responsibilities

  • Architect, design and build highly-performant and reliable ML systems from the ground up, which integrate into our production environment (Python, MongoDB, GCP services)
  • Iteratively develop, train, and deploy high-scale, high-performance ML models that can, for example, efficiently price work (shifts), and maximize fill rates by modeling the likelihood of shift acceptance
  • Contribute to our engineering culture and serve as a mentor for junior engineers

Benefits

  • Comprehensive healthcare coverage: We cover 100% of employee premiums for medical, dental, and vision care (60-75% for dependents)
  • 401(k) match program: We match 100% on the first 3% of your contributions and 50% on the next 2% for a maximum match of 4%
  • Generous, fully paid parental and family leave policies
  • Pre-tax commuter benefits
  • Unlimited and flexible PTO
  • Collaborative office with fully stocked kitchen @ 1 World Trade in Manhattan

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