Machine Learning Engineer II

Indeed • Remote,

3d • $138,000 - $289,000

About The Position

Develop and deploy predictive models and generative AI capabilities supporting business functions. The work includes exploring data to define problem statements, building and optimizing machine learning models, and monitoring their performance in production. The role collaborates with cross-functional teams to integrate machine learning solutions into products and applies emerging advances to improve model effectiveness and innovation.

Build scalable, performant recommendation systems that match millions of jobs with millions of job seekers in real time. Experiment with machine learning proof-of-concept improvements, scale them to production, and conduct iterative A/B experiments to improve matching technology. The role also includes mentoring teammates, breaking down larger initiatives into incremental deliverables, and representing Indeed at major machine learning conferences.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field and at least 5 years of related experience; or a Master’s degree and at least 3 years of experience; or a PhD with no experience required.
• Prior success 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 of and practical experience with deep learning libraries such as Torch or TensorFlow.

Responsibilities

• Build scalable, high-performance recommendation systems that match jobs and job seekers in real time.
• Experiment with machine learning proof-of-concept improvements, scale successful models to production, and run iterative A/B experiments.
• Mentor software engineers, data scientists, and Machine Learning Engineers on the team.
• Break down larger machine learning initiatives into pieces that deliver incremental business value and implement them.
• Represent Indeed at machine learning conferences such as NeurIPS, ICML, and ICLR.
• Explore data to define problem statements, build and optimize machine learning models, and monitor production performance.
• Collaborate with cross-functional teams to integrate machine learning solutions into products and stay informed about advances in the field.

Benefits

• Quarterly bonuses may be offered.
• Restricted Stock Units (RSUs) may be offered.
• Paid Time Off policy.
• Region-specific benefits may be available.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior