Senior Staff Machine Learning Engineer
Flex- Full Time
- Senior (5 to 8 years)
Candidates should have a strong background in machine learning and software engineering, with proficiency in Python and experience in building end-to-end ML systems. Familiarity with cloud services, particularly Google Cloud Platform, and database management using MongoDB is essential. A proven track record of developing high-performance ML models and the ability to work in a fast-paced, ambiguous environment are also required.
The Senior Machine Learning Engineer will architect, design, and build highly-performant ML systems that integrate into the production environment. They will iteratively develop, train, and deploy high-scale ML models to solve problems related to shift matching and dispatching, as well as predict shift fulfillment across the network. Additionally, they will leverage marketplace data to generate business value and influence the overall architecture of the platform.
Connects workers with flexible job opportunities
Shiftsmart connects workers with flexible job opportunities in the gig economy, primarily serving large brands, government agencies, and nonprofit organizations. Its platform allows businesses to post shift requirements, which workers can browse and select based on their availability. This model is especially useful for industries like retail, hospitality, and customer service that need a flexible workforce. Shiftsmart generates revenue by charging businesses a fee for platform usage, which can be subscription-based or per-shift. The company also offers premium services such as workforce management tools and compliance audits. Additionally, through its "Get Shift Done" initiative, Shiftsmart has provided over 500,000 hours of work to nonprofits, helping stabilize wages and support food-insecure families. The goal of Shiftsmart is to create a more efficient labor market by providing businesses with scalable workforce solutions while giving workers greater control over their schedules.