Our Mission

Day to Day

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).

Skills/Competencies

• 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.)

Salary Range Transparency

Salary Range Disclaimer

Benefits - Health, Work/Life Harmony, & Wellbeing

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