Senior Machine Learning Engineer, Shiftsmart
$170-220k
Plus equity
2+ days a week in office
Custome enterprise workforce solutions
Job no longer available
Custome enterprise workforce solutions
1001+ employees
Job no longer available
$170-220k
Plus equity
2+ days a week in office
1001+ employees
Company mission
To revolutionize hourly work and build the world's leading platform for hourly workers.
Role
Who you are
- Machine learning expert: 6+ 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
What the job involves
- 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
Our take
Labor force participation is at an all-time low in the United States, and companies across the board are struggling to combat the shortfall. Shiftsmart’s solution is a dynamic labor marketplace, matching workers on their platform to temporary gigs, and helping companies fill gaps without committing to, or having to attract, full-time talent.
Shiftsmart’s network of over 1.2 million workers serves big-name enterprises like Google, HP, Apple, and Levi’s, and is part of a growing industry of staffing solutions for hourly workers that have been seeing big VC investments over recent years. Driven by the gig economy becoming more normalized and demand for flexible hours increasing, Shiftsmart saw its revenue increase by nearly 400%, and they put this success down to a competitively unique business model that sees more control being put in the hands of workers and employers alike. They have now done work in over 57 countries, and are operating tens of thousands of shifts each week.
Some user feedback suggests the company still has some kinks to iron out on their platform, with multiple complaints about delayed or missing payments. But with thousands of successful, efficient job placements found over the last few years, Shiftsmart are making strides in an area that looks set to remain in high demand.
Freddie
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Company HQ
World Trade Center, New York, NY
Leadership
Aakash Kumar
(Founder & CEO)Forbes 30 Under 30. Previously founded Searchlight Ventures during college. Worked as a Consultant @ Booz & Co and later as Cloud Business Operations & Strategy Lead @ Google.
Pavan Patel
(CTO)Forbes 30 Under 30. Previously Software Engineer @ Simply Hired and former teacher @ Teach For America.
Salary benchmarks
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