Software Engineer, Machine Learning

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer, Machine Learning Responsibilities

1. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
2. Suggest, collect, and synthesize requirements and create effective feature roadmap.
3. Code deliverables in tandem with the engineering team.
4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

1. 2+ years of programming experience in a relevant programming language.
2. 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence.
3. 2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalent.
4. Proven experience to translate insights into business recommendations.
5. Experience building and shipping high quality work and achieving high reliability.
6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications

1. Exposure to architectural patterns of large scale software applications.
2. PhD degree or research focused Master degree in ML areas.