Staff Machine Learning Engineer (Adtech)

TL;DR

Staff Machine Learning Engineer (Adtech): Optimizing the advertising product at hirify.global by improving existing ML systems and taking end-to-end ownership of the ML lifecycle, from data pipelines to production integration. Focus on applying state-of-the-art ML algorithms at scale for next-generation targeting and bidding products that directly impact top-line metrics.

Location: This position can be performed remotely from multiple countries around the world. Available in United States, Canada, Ireland, & 13 other countries. Availability for meetings and impromptu communication during hirify.global's “coordination hours” (Mon-Fri: 9am-3pm Pacific Time) is required.

Salary: US candidates: $189,507 - $320,613 USD. Canadian candidates: $231,958 - $336,370 CAD.

Company

hirify.global operates a global knowledge sharing platform and Poe, a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models.

What you will do

• Improve and optimize existing machine learning systems using core coding skills and ML knowledge.
• Take end-to-end ownership of machine learning systems, from data pipelines, feature engineering, and model training to production integration.
• Apply state-of-the-art machine learning algorithms at scale for next-generation targeting and bidding products.
• Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems.
• Work with product and business teams on new innovative features for ad targeting and bidding.
• Identify new opportunities to apply machine learning to different parts of the Ads product.

Requirements

• Availability for meetings and impromptu communication during hirify.global's “coordination hours” (Mon-Fri: 9am-3pm Pacific Time).
• 5+ years of professional software development experience in machine learning.
• Previous experience working in Adtech, developing ad targeting/retrieval/recommender systems.
• Previous experience building large-scale ranking/recommendation systems.
• Good understanding of mathematical foundations of machine learning algorithms.
• Highly proficient coding ability writing Python.
• BS, MS or PhD in Computer Science, Engineering or a related technical field.

Nice to have

• Experience with leading large-scale multi-engineer projects.
• Experience in productized reinforcement learning.
• Experience working with CTR, CVR, auto-bidding and auction systems.
• Effective communicator with strong leadership skills.

Culture & Benefits

• Remote-first company with a high degree of flexibility and autonomy.
• Culture rooted in transparency, idea-sharing, and experimentation.
• Opportunities for continuous learning and improvement.
• Comprehensive benefits including medical/dental/vision coverage.
• Equity refreshers, remote work reimbursement, and paid time off.
• Employee assistance programs.