Staff Software Engineer - Technical Leadership & ML

Meta; Des Moines (IA); On-site; USD 271,000 - 347,000; Full time

Job summary

Meta is seeking a Software Engineer to join our engineering team in Des Moines. The role involves building scalable classifiers and tools for large-scale social data using machine learning, data regression, and rules-based models.

The candidate will drive technical direction, collaborate with leaders, and mentor engineers while delivering long-term roadmaps and impactful projects across the organization.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Experience leading projects with industry-wide impact.
• Experience communicating across functions to drive solutions.
• Experience mentoring engineers across organizations.
• Proven track record of planning multi-year roadmaps aligned to long-term vision.
• Experience driving large cross-functional engineering efforts.
• 12+ years of programming in Python, C++, or Java.
• 8+ years in ML, recommendations, data mining or DL methods.

Responsibilities

• Drive the team's goals and technical direction to pursue opportunities that improve organizational efficiency.
• Effectively communicate complex features and systems in detail.
• Understand industry and company-wide trends to assess and develop new technologies.
• Partner and collaborate with leaders to improve team and organizational performance.
• Identify opportunities for the organization and influence staffing and prioritization.
• Gather requirements and create an effective feature roadmap.
• Develop scalable classifiers and tools leveraging ML, data regression, and rules-based models.
• Adapt ML methods to parallel environments (distributed clusters, multicore, GPU).

Skills

Python

C++

Java

Education

Bachelor's degree in Computer Science/Engineering or related field

Job description

Meta is seeking a Software Engineer to join our engineering team in Des Moines. The role involves building scalable classifiers and tools for large-scale social data using machine learning, data regression, and rules-based models.

The candidate will drive technical direction, collaborate with leaders, and mentor engineers while delivering long-term roadmaps and impactful projects across the organization.