Machine Learning Engineer II (AI)

TL;DR

Machine Learning Engineer II (AI): Building and optimizing high-load backend services for advertising using generative AI technologies with an accent on real-time ML serving systems and distributed frameworks. Focus on designing and developing scalable software, optimizing ML models, and advancing the technical foundation for science innovation.

Location: Must be based in the USA (Palo Alto, CA or Los Angeles County)

Salary: $165,200.00 - 223,600.00 USD annually

Company

hirify.global is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond.

What you will do

• Drive the direction of technical solutions across deep learning, AWS, Auto ML, and real-time ML serving systems.
• Design, develop, and productionize software to support scalable offline machine learning pipelines.
• Build online serving components that handle billions of requests per day with millisecond latency.
• Troubleshoot and support high-volume and low-latency distributed systems.
• Collaborate with applied scientists to optimize machine learning model performance.
• Mentor junior engineers and guide them in delivering high-impact products and services.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience (design patterns, reliability, scaling)
• 1+ year of software development engineer or related occupational experience
• 1+ year of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications using C#, C++, Java, or Perl
• 1+ year of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language.

Nice to have

• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience developing, deploying, and managing AI products at scale.

Culture & Benefits

• Comprehensive benefits package including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance).
• Additional benefits such as EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, and Adoption/Surrogacy Reimbursement.
• 401(k) matching and paid time off.
• Parental leave.
• Inclusive culture that empowers Amazonians.
• Workplace accommodations and adjustments available for disabilities during application and hiring.