Senior / Staff Machine Learning Engineer

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’re one of the fastest-growing startups in the country. 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. This is a unique opportunity to join the ground floor of a rapidly scaling business that is changing the way hourly labor works and capturing a $2 trillion dollar opportunity in the US alone.

• Ownership + impact. 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.

• Captain your career path. Enjoy accelerated learning and growth working with a world-class team from top tech companies (e.g. Uber, Airbnb, Google, Amazon), business schools (e.g. HBS, GSB, Wharton), and professional services (e.g. Bain, BCG, Goldman).

• Become a world-class executor. We believe that #ExecutionIsBinary, and are dedicated to helping you master that skill for life here and beyond.

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 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. 

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

Outcomes: The problems you will solve

• 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.

Competencies: 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