Senior​/Machine Learning Engineer

Overview

Why Shiftsmart

We’re building the Amazon of labor. We’re a labor platform pairing end-to-end workforce management technology with a rapidly growing global network of 5M flexible workers to create scalable labor solutions for the largest companies in the world, like Circle K, Pepsi, Dollar General, Starbucks and more. Our unique business model fractionalizes jobs down to shifts and makes it easy for workers to work across multiple companies through a digital marketplace.

We’ve grown 2-3x each year since we started and raised $120M+ from top-tier investors including D1 Capital & Imaginary Ventures…and we’re only getting started.

Our mission is to build the world’s leading platform for hourly workers and enterprises enabling flexibility, choice, and upward social mobility.

Join a rocketship. Ownership + impact. Captain your career path. Become a world-class executor. Join a team that is challenging and supporting one another to build a great business and create flexibility, choice, and upward social mobility for workers everywhere. Learn from a world-class team with backgrounds from top tech companies and business schools.

Mission:
Why this role exists

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 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.

Shiftsmart location is based in New York City with typically 4 days in office.

• Architect, design and build highly-performant and reliable ML systems from the ground up, which integrate into our production environment (Python, Mongo
  
  DB, 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.
• Develop new computer vision models to assess inventory and build models that access real-time fill rates for shelves and coolers.
• Contribute to our engineering culture and mentor junior engineers.

• Machine learning expert: 5+ years of machine learning and software engineering experience, including end-to-end ML projects typically found in early-stage start-ups.
• Large dataset wrangler: Experience with very large datasets to solve business problems by training and deploying ML models into production.
• Programming expert: Hands-on programming in Python (or similar), data manipulation (SQL, pandas), and ML tools (scikit-learn, XGBoost, etc.).
• Business acumen: Understand the business from multiple perspectives using business savvy, customer focus, financial acumen, and technical savvy.
• Results-driven: Driven for results, able to plan and execute projects in evolving environments with complexity and ambiguity.
• Collaborative: Build collaborative relationships and influence the product roadmap with leadership and cross-functional teams.
• Computer Vision Expert: Experience with classification, action recognition, object detection, and person tracking/re-identification in images and video and applying them to real-world problems.

We share base salary ranges based on role and level benchmarked against similar high-growth companies. Offers are determined by skills, experience, and credentials. In addition to competitive salaries and meaningful equity we offer benefits including:

• Comprehensive healthcare coverage: 100% of employee premiums for medical, dental, and vision (60-75% for dependents).
• 401(k) match: 100% on the first 3% of…