Machine Learning Engineer II

Indeed•Remote,

10d•$138,000 - $289,000

About The Position

Design, develop, and optimize large-scale retrieval algorithms for search and recommendation systems. Drive candidate job selection by balancing relevance, marketplace objectives, and product impact to improve user outcomes. Partner with product, ranking, and infrastructure teams to translate business goals into production-ready ML solutions. Demonstrated software engineering skills, including production ready model design, testing, code reviews, and production debugging.

Requirements

Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience
Prior success in deploying impactful Machine Learning solutions to large-scale production systems
Solid knowledge of data structures and algorithms
Exceptional sense of ownership
Excellent written and verbal communication in English, effective with technical audiences
Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)

Responsibilities

Build highly scalable and performant recommendation systems and technologies that can identify optimum matches between millions of jobs and millions of job seekers in real-time.
Experiment with Proof-Of-Concept Machine Learning (POC ML) model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology.
Mentor other software engineers, data scientists, and Machine Learning Engineers in the team.
Break down larger Machine Learning initiatives into pieces that deliver incremental business value and implement them.
Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR).