Senior Software Engineer - Technical Leader, ML & Systems

Meta; San Francisco (CA); On-site; USD 271,000 - 347,000; Full time

Job summary

Meta seeks a Software Engineer (Technical Leadership) to join our engineering team in San Francisco. You will lead projects involving classification and optimization problems, and drive the technical direction across product teams to improve efficiency and impact.

You will mentor engineers, communicate complex systems, and develop scalable ML-based solutions for massive social data challenges. Expect collaboration with leadership to align roadmaps, staffing, and prioritization across orgs.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field or equivalent practical experience.
• Experience leading projects with industry-wide impact.
• Experience communicating and working across functions to drive solutions.

Responsibilities

• Drive team goals and technical direction to pursue organizational opportunities.
• Communicate complex features and systems clearly across teams.
• Assess industry and company trends to develop new technologies.
• Collaborate with organization leaders to improve performance of team and organization.
• Identify opportunities for the larger organization and influence staffing/prioritization.
• Define requirements and craft an effective feature roadmap.
• Develop scalable classifiers and ML tools leveraging data regression and rules-based models.
• Adapt ML methods to parallel environments like distributed clusters and GPUs.

Skills

Technical leadership

Cross-functional communication

Strategic roadmap planning

Staffing/prioritization

Machine learning systems

Distributed computing

Mentoring engineers

Industry trend analysis

Education

Bachelor's degree in Computer Science or equivalent

Tools

Python

C++

Java

Job description

Meta seeks a Software Engineer (Technical Leadership) to join our engineering team in San Francisco. You will lead projects involving classification and optimization problems, and drive the technical direction across product teams to improve efficiency and impact.

You will mentor engineers, communicate complex systems, and develop scalable ML-based solutions for massive social data challenges. Expect collaboration with leadership to align roadmaps, staffing, and prioritization across orgs.