Senior / Staff 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. 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. 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. Competencies: Who you are 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. Compensation philosophy 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 contributions and 50% on the next 2% for a maximum match of 4%. Generous paid parental and family leave policies. Pre-tax commuter benefits. Collaborative office with fully stocked kitchen at 1 World Trade in Manhattan. Equal opportunity employer Shiftsmart is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Operating Principles @ Shiftsmart Inspired by Leadership Principles @ Amazon Execution Is Binary We #GetShiftDone. We take pride in the quality of our work and our commitments. We own the outcome with an unstoppable mindset and move the ball forward. We work hard, execute with urgency, and challenge timelines when needed. We take the problem as far as we can and only ask for help when necessary. We work as one team and avoid saying that something can’t be done. Missionaries, Not Mercenaries We before me. We believe in our mission to improve workers’ lives and build lasting relationships with customers, partners, and teammates. We are energetic, ambitious, and strive to grow the entire thing by putting the business needs first. Inputs > Outcomes We work hard, focus on processes, lead with data, and hire and develop the best to maximize team output. Honesty Over Harmony We share the truth with positive intent, seek feedback, and hold ourselves accountable. We communicate in the moment when something is broken and strive for continuous improvement. Invent & Iterate We are inventors at heart, think BIG, and prefer delivering a good result over perfect planning. We value progress and learning from mistakes. #J-18808-Ljbffr Shiftsmart