Premisemakes sourcing data better for organizations and individuals alike by combining our technology with communities of global smartphone users in more than 125 countries. When you join our team, you join a group of driven and talented industry experts, working to democratize the way actionable data is sourced and used.

If this sounds like you, we would love to have you join our team!

Title:  Staff Machine Learning EngineerLocation:  San Francisco, CATerms:  Full-TimeTravel:  N/A

Overview:  We’re hiring a Staff Machine Learning Engineer (MLE). As part of the Data Foundations team, you will design, develop and maintain machine learning pipelines with our Data Scientists; standardize and improve our machine learning operations (MLOps); work to shorten the time between model development and deployment; and generally build infrastructure to help our Data Scientists focus on modeling rather than engineering. Our team works across the company by collaborating with diverse teams of engineers, data scientists, data analysts, and program managers.

Responsibilities:

• Collaborate with our data scientists to architect, design, and standardize our machine learning pipelines and operations
• Standardize our ML tooling and operations in a cloud environment
• Optimize and scale our geospatial, computer vision, and natural language processing models (we work on a bit of everything)
• Automate our operations to shorten the time between development and deployment
• Evangelize MLOps and MLE best practices throughout the organization to help make ML central to our processes and decision making processes
• Increase the observability and monitoring of our ML pipelines
• Write optimized, testable, and maintainable Python code 

Basic Qualifications:

• Passion for learning and sharing knowledge with the team around you.
• Professional experience in a data-oriented, software engineering role.
• Advanced proficiency with Python and associated packages for numerical analysis.
• Strong SQL skills, including designing and optimizing database queries and indexing.
• BS/MS/Ph.D. in a quantitative field such as Computer Science, Physics, Mathematics,  etc. or equivalent work experience & analytical skills.

Preferred Qualifications:

• Experience with Kubernetes and / or Google Cloud Platform.
• Test driven development
• Passionate about building and developing a world class engineering culture. You are humble and drive positivity.

Press:

Premise Data Raises $85 Million To Transform Market Intelligence By Scaling Its Machine Learning And Human Intelligence Platform (PRNewswire)

Forbes Recognizes Premise Data Among Best Startup Employers For 2021 (Forbes)

Premise Data Ranked 182nd Fastest-Growing Company in North America on Deloitte’s 2020 Technology Fast 500™ (PRNewswire)

Armed with smartphones, Colombians are taking on the local mozzies (The Economist)

Why every state should adopt a mask mandate, in 4 charts (Vox)

Photos are creating a real-time food index (Wired)

Premise is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.