Shiftsmart · 8 hours ago
Senior Machine Learning Engineer
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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.
Qualification
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Required
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.
Track record of working with very large datasets to solve business problems by iteratively training and deploying highly performant machine learning models into production.
Hands-on programming skills in Python (or similar languages), data manipulation (SQL, pandas), and machine learning tools (scikit-learn, XGBoost, etc.)
Ability to understand the Shiftsmart business from multiple perspectives using business savvy, customer focus, financial acumen, and technical savvy.
Driven for results, taking the initiative to plan and execute projects from scratch in rapidly evolving environments, with significant complexity and ambiguity.
Ability to build collaborative relationships and influence the overall product roadmap using communication skills to effectively partner with leadership and cross-functional teams.
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
Company
Shiftsmart
Shiftsmart is a labor-management marketplace connecting part-time workers with open shifts across multiple platforms.
Funding
Current Stage
Growth StageTotal Funding
$120.58MKey Investors
D1 Capital Partners
2021-12-02Series B· $95M
2020-01-31Series A· $16.5M
2017-06-30Series Unknown· $6.03M
Leadership Team
Aakash Kumar
Founder & CEO
Company data provided by crunchbase