[Remote] Machine Learning Engineer IV

Note: The job is a remote job and is open to candidates in USA. Indeed is a job site that leverages large-scale data and advanced machine learning techniques to power its core products and help people get jobs. The Principal Machine Learning Engineer will lead the technical direction of machine learning initiatives, build and deploy scalable recommendation systems, conduct iterative experiments, mentor technical teams, and collaborate across functions.

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 while collaborating with other teams
• Mentor and grow other software engineers, data scientists, and Machine Learning Engineers across teams
• Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team to implement them
• Represent Indeed at major Machine Learning conferences, such as Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR)

Skills

• Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 12 years of related experience; or a Master's degree with a minimum of 8 years of experience; or a PhD with 5 years experience
• Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams
• Solid knowledge of data structures and algorithms
• Dedicated sense of ownership and accountability as a technical product leader
• Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)
• Excellent written and verbal communication in English, effective with technical and business audiences

Benefits

• Quarterly bonuses
• Restricted Stock Units (RSUs)
• A Paid Time Off policy
• Many region-specific benefits
• Remote work arrangement

Company Overview

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