Software Engineering • Mid-Level

Who you are

You have a strong background in software engineering with a focus on technical leadership — your experience includes tackling complex classification and optimization problems in real-world applications. You are familiar with various machine learning techniques and understand how to apply them to large datasets effectively.

Your expertise spans across multiple domains such as payment fraud detection, click-through rate prediction, and collaborative filtering — you have a knack for transforming data into actionable insights and solutions. You are comfortable working with social data and have a passion for solving challenging prediction problems.

You possess excellent communication skills, allowing you to collaborate effectively with cross-functional teams — you can articulate complex technical concepts to non-technical stakeholders. You thrive in environments where you can mentor others and lead technical discussions, fostering a culture of learning and innovation.

Desirable

Experience with big data technologies and frameworks is a plus — familiarity with tools like Apache Spark or TensorFlow can set you apart. A background in statistics or data science will enhance your ability to analyze and interpret data trends.

What you'll do

As a Software Engineer at Meta, you will join a dynamic engineering team focused on solving some of the most exciting challenges in social data and prediction. You will design and implement algorithms that address classification and optimization problems, ensuring they are scalable and efficient.

You will collaborate closely with data scientists and product managers to define project requirements and deliver impactful solutions — your role will involve not just coding, but also contributing to the overall technical strategy of the team. You will lead technical discussions and code reviews, ensuring best practices are followed and fostering a culture of quality.

Your responsibilities will include analyzing large datasets to identify patterns and insights that drive product decisions — you will leverage your machine learning skills to develop predictive models that enhance user experience. You will also mentor junior engineers, helping them grow their technical skills and understanding of the domain.

What we offer

Meta provides a collaborative work environment where innovation is encouraged — you will have the opportunity to work on cutting-edge technologies and contribute to projects that impact millions of users worldwide. We offer competitive compensation and benefits, including flexible work arrangements to support your work-life balance.

Join us at Meta and be part of a team that is shaping the future of social data and technology. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be just what we need.