Machine Learning Engineer (Technical Leadership)

What you'll do

• Set ML strategy and technical direction; identify opportunities and shape roadmaps and priorities.
• Design, build, and deploy end-to-end ML systems, including data pipelines, training, evaluation, experimentation, and monitoring.
• Lead cross-functional engineering, translate research into production, and mentor and influence ML engineers.

What they ask for

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 12+ years of experience in programming languages (Python, C++, or Java) with a technical background.
• 8+ years of experience in machine learning, recommendation systems, pattern recognition, data mining, or deep-learning-based methods.
• Experience leading high-impact engineering projects, planning multi-year roadmaps, mentoring across organizations, and implementing responsible AI practices.

Nice to have

• Publications or contributions to the ML research community.
• Demonstrated ongoing AI skill development and use of AI tools to improve workflows.

Pay

$271,000/year to $347,000/year (base salary)

Tools

Python, C++, Java, PyTorch, TensorFlow, distributed clusters, multicore SMP, GPU

AI focus

Applies ML to content enforcement and integrity, including fraud detection, ranking, and spam detection; builds production ML systems and applies responsible AI practices. The posting also mentions prompt/context engineering, agent orchestration, and integrating AI tools into workflows.