Shiftsmart is hiring a Machine Learning Engineer to define how machine learning is applied to our marketplace data to generate business value. You will build and ship end-to-end ML systems that solve complex problems like matching workers to shifts, identifying the best partners, and predicting network-wide fill rates.
What You'll Do
- Architect, design and build highly-performant and reliable ML systems from the ground up, which integrate into our production environment.
- 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.
What We're Looking For
- 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.
- Track record of working with very large datasets to solve business problems by iteratively training and deploying highly performant machine learning models into production.
- Hands-on programming skills in Python (or similar languages), data manipulation (SQL, pandas), and machine learning tools (scikit-learn, XGBoost, etc.).
- You can understand the Shiftsmart business from multiple perspectives using your business savvy, customer focus, financial acumen, and technical savvy.
- You are driven for results, taking the initiative to plan and execute projects from scratch in rapidly evolving environments, with significant complexity and ambiguity.
- You can build collaborative relationships and influence the overall product roadmap using your communication skills to effectively partner with leadership and cross-functional teams.
Nice to Have
- Experience with classification, action recognition, object detection, and person tracking/reidentification tasks in images and video, and their application to solve real world problems.
Technical Stack
- Python
- MongoDB
- GCP services
- SQL
- pandas
- scikit-learn
- XGBoost
Benefits & Compensation
- Comprehensive healthcare coverage: We cover 100% of employee premiums for medical, dental, and vision care (60-75% for dependents).
- 401(k) match program: We match 100% on the first 3% of your contributions and 50% on the next 2% for a maximum match of 4%.
- Generous, fully paid parental and family leave policies.
- Pre-tax commuter benefits.
- Collaborative office with fully stocked kitchen @ 1 World Trade in Manhattan.
Work Mode
This role operates on a hybrid basis and is located in New York City.
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.
