Senior / Staff Machine Learning Engineer, Shiftsmart
$170-220k
+ Equity
2+ days a week in office
Custome enterprise workforce solutions
Open for applications
Custome enterprise workforce solutions
1001+ employees
Open for applications
$170-220k
+ 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: 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
- Computer Vision Expert: Experience with classification, action recognition, object detection, and person tracking/reidentification tasks in images and video, and their application to solve real world problems
What the job involves
- The Engineering Team enables Shiftsmart to anticipate and creatively solve problems across multiple functions with solutions that have a lasting impact for both our customers (employers) and our users (workers)
- Our mission is simple: To build the world’s leading platform for hourly workers and enterprises enabling flexibility, choice, and upward social mobility
- Our Machine Learning Engineers will define how machine learning is applied to the vast amounts of data collected from our labor marketplace to generate business value for Shiftsmart
- They will build and ship end-to-end ML systems amidst ambiguity and use our marketplace data to solve problems such as matching and dispatching relevant shifts to workers, identifying the best partner to fulfill a shift, and predicting our likelihood to fill shifts network wide
- 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
- Work on developing new computer vision models that will allow our team to assess inventory and building models that allow our time to access real time fill rates for shelves and coolers
- 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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