Senior Staff Machine Learning Engineer

📋 Description

• Define the technical vision, architecture, and roadmap for agentic AI systems that process global
• Lead the design and implementation of scalable, reliable, and cost-efficient data pipelines
• Develop and deploy production-grade machine learning systems that transform structured and
• Adapt and improve large language models using supervised fine-tuning (SFT), direct preference
• Build and maintain evaluation frameworks, golden datasets, tracing systems, and feedback loops to
• Design observability and monitoring capabilities that capture agent behavior, identify failure

🎯 Requirements

• Bachelor’s or master’s degree in Computer Science, Machine Learning, or a related field, or
• At least 10 years of experience building and deploying machine learning systems in production
• Deep expertise in PyTorch and the modern Python machine learning ecosystem, including tools such as
• Hands-on experience developing production-grade LLM applications, including retrieval-augmented
• Proven experience deploying agentic systems in production, with a strong understanding of planning
• Practical experience adapting and post-training language models using techniques such as SFT, DPO

🎁 Benefits

• Base salary: $250,000–$295,000 USD per year. Final compensation depends on experience, education
• Equity: Competitive equity grants are included in the majority of full-time offers.
• Performance compensation: A discretionary bonus or variable compensation plan may be available
• Flexible time off: Flexible Time Off (FTO) designed to support work-life balance.
• Paid parental leave: Up to 26 weeks at 100% of base salary for birthing parents and 14 weeks at
• Healthcare: Medical, dental, and vision coverage with generous employer contributions and flexible