Machine Learning Engineer, Answers Relevance

📋 Description

• Design, develop, deploy, and optimize large-scale machine learning systems, including information
• Lead machine learning projects from ideation through production, ensuring solutions deliver
• Develop and improve retrieval and ranking models that surface useful, contextually relevant
• Build and optimize retrieval-augmented generation (RAG) systems, foundational retriever models, and
• Explore and implement advanced AI approaches, including large-scale recommendation systems, agentic
• Work with open-weight language models, including models such as Qwen and Llama, applying prompt

🎯 Requirements

• 4–12 years of experience building, deploying, and operating machine learning systems in production.
• Broad understanding of machine learning fundamentals and demonstrated ability to apply them to
• Experience developing and productionizing machine learning models using frameworks such as
• Strong Python programming skills and experience writing reliable, production-quality code
• Experience with core machine learning systems and workflows, including data pipelines, feature
• Familiarity with one or more relevant areas, such as recommendation systems, search, content

🎁 Benefits

• Salary: Annual base salary range of $216,700–$322,000 USD, depending on role level, relevant
• Equity compensation: Eligibility for restricted stock units (RSUs), with additional commission
• Healthcare coverage: Comprehensive healthcare benefits, including medical, dental, and vision
• Retirement savings: 401(k) plan with employer matching contributions.
• Income protection: Income replacement programs for eligible employees.
• Flexible time off: Vacation benefits and paid volunteer time off.