Staff Machine Learning Engineer, Answers, Knowledge & Information (AKI)

No detailed description available.

• Contribute to research, design, implementation, and evaluation of models to enhance quality and performance
• Implement and extend LLM models with fine-tuning and RLXF methodologies
• Establish target quality metrics and evaluation sets for the team to track and improve
• Collaborate with partner teams to define product requirements and priorities
• Develop long-term technical vision for Personal Q&A quality

• 8+ years industry experience in Machine Learning, NLP and applying these techniques at scale
• Strong software engineering skills in mainstream programming languages
• Experience using ML frameworks
• Strong communication skills
• Bachelor's degree in Computer Science

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and services
• Education reimbursement
• Discretionary restricted stock unit awards
• Employee Stock Purchase Plan
• Discretionary bonuses or commission payments
• Relocation assistance