Senior Machine Learning Engineer

SiteZeus is hiring a Senior Machine Learning Engineer to join our growing product team! Our ideal candidate has a strong background in Azure, scalable Machine Learning solutions, and the Microsoft suite of application development. At SiteZeus, our team members are exceptional in the pursuit of their crafts. We value boldness in our approach and working together to find quick ways to solve complex challenges.

SiteZeus is the leading end-to-end solution to driving revenue growth. Our goal is to empower multi-unit and service-based brands with advanced analytics and on-demand insights, enabling them to efficiently open and operate better-performing sites. Since our establishment in 2013, we have assisted brands with site selection and portfolio optimization through our revolutionary location intelligence platform, SiteZeus Locate. In line with our commitment to constant improvement, we launched SiteZeus Market in 2022, our customer segmentation solution. To solidify ourself as a complete lifecycle software provider, we introduced SiteZeus Sell and Build in 2023.

Through our four user-friendly products, we are able to supply every team in an organization with a comprehensive range of tools to drive franchise sales, facilitate market planning, support development, enhance marketing efforts, and streamline operations.

Expected Salary Range: $90,000 - $105,000 per year

Responsibilities & Duties

• Design and develop machine learning systems.
• Participate in agile ceremonies.
• Transform raw data science outputs into scalable, production-ready systems.
• Research and implement machine learning algorithms and tool-sets.
• Create, maintain, and monitor MLOps build & deployment pipelines.
• Run experiments to continuously improve solutions.
• Extend existing libraries and frameworks.
• Implement statistical methods to use for Predictive Analytics.
• Assist in data science research efforts.
• Enhance data collection procedures to build analytic systems.
• Perform ad-hoc analysis and present results in a clear manner.
• Make suggestions consistent with our theme of continual process improvement.
• Provide necessary customer support when asked by providing requested data analysis and resolving issues within the SZ platform.

Qualifications and Skills

• A bachelor’s degree in computer science, software engineering, mathematics, statistics, data science, physics, or a related field.
• 2+ years prior experience as a machine learning engineer.
• Expertise with Python.
• Experience building and maintaining Docker containers.
• A strong grasp of fundamental data science concepts.
• Comfortable using NumPy and Pandas.
• Experience with at least one popular deep learning library.
• Experience with DevOps or MLOps.
• Experience with Azure, GCP, or AWS.
• Experience maintaining machine learning models in a production environment.

Nice-to-Haves

• A master’s degree in a related field.
• Experience with big data.
• Kubernetes familiarity.
• Azure knowledge.
• Familiarity with geospatial data analytics.

This is a Remote (work from home) position.
 

Benefits

• Unlimited PTO that we encourage you to use *
• Flexible work hours
• 401(k); health, vision, and dental; and other traditional benefits for U.S.-based employees*
• Paid parental leave *
• Paid monthly community service time *
• Paid company summits

* For Full Time Employees

Core Values

• Grit - Find a way to solve problems and overcome adversity.
• Candidly Coachable - Be direct yet empathetic with your team members.
• Urgency - Act with a high sense of urgency.
• Team Mentality - Put the team's needs ahead of your own.
• Unicorn - Be exceptional in the pursuit of your craft.

Hiring Process

SiteZeus promises professionalism and respect for your time in every step of the process.

1. Complete a quick assessment
2. Screening with our HR specialist
3. Interview with the hiring manager
4. Group interview with team members
5. Final interview with executive leadership

About Us
SiteZeus is an equal-opportunity employer that celebrates diversity, culture, and the human experience. We go above and beyond to ensure that all team members feel comfortable about who they are and the contributions they make to our mission. Our team is highly encouraged to find a balance that allows for optimal fulfillment at work and home.

All U.S.-based applicants must be legally authorized to work within the United States. All roles may require corporate communication skills and prolonged periods of sitting at a desk or working on a computer. Degree requirements and preferences may be substituted for bona fide work history or relevant experience.