Machine Learning Engineer

What you'll do

• Build and maintain high-performance distributed systems to support large-scale model inference and data processing
• Design frameworks for multi-agent systems, focusing on state management, reliability, and long-running autonomous workflows
• Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines and advanced context management strategies to improve model accuracy and relevance
• Develop platform-level tools for automated prompt engineering, evaluation, and optimization to accelerate the AI development lifecycle
• Implement robust ML pipelines, focusing on observability, versioning, and the seamless deployment of generative AI services

What you bring

• Basic 5+ years of experience in machine learning engineering, software engineering, or related operational roles
• Experience in software engineering with a focus on distributed systems and scalable backend architecture
• Deep understanding of the ML lifecycle, from data ingestion and training to production monitoring
• Experience building with LLMs, including RAG architectures and sophisticated prompt engineering
• Expertise in Python and experience with modern ML frameworks such as PyTorch
• Preferred Experience with distributed task queues or stateful workflow engines for managing complex, multi-step AI processes
• Experience with frameworks designed for horizontal scaling of compute-intensive ML workloads
• Experience designing "agent-loop" architectures that involve tool-use, self-correction, and multi-step reasoning
• Familiarity with vector storage systems and high-throughput data processing pipelines

Pay

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

• California: $164,700.00 - $266,000.00 base salary
• Washington: $158,300.00 - $232,575.00 base salary

Benefits

• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retailer and Pension Programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events