Senior Machine Learning Infrastructure Engineer

• Location: Redwood City, CA
• Company Stage of Funding: Series A ($46M raised)
• Office Type: Hybrid (4 days in office)
• Salary: $180K - $250K (Higher for exceptional candidates) Significant Equity

Company Description

We are representing an exciting AI startup revolutionizing how deep learning models are trained. Our client builds cutting-edge tools that automatically select optimal data for training deep learning models, eliminating redundant, noisy, or harmful data points. Their modality-agnostic algorithms don't require labels, making them ideal for next-generation large deep learning models. Their technology enables customers across industries to train better models more cost-effectively.

What You Will Do

• Design, build, and maintain robust training infrastructure for in-house ML research and validation efforts
• Develop core infrastructure for running curation pipelines delivered to customers
• Partner closely with founders to influence product direction and drive business-critical technical decisions
• Create scalable systems that impact the company's ability to deliver, scale, and deploy their product
• Collaborate with researchers and other stakeholders to understand requirements and implement effective solutions
• Help build a world-class engineering culture as an early senior team member

Ideal Candidate Background

• 5-15 years of experience as a software engineer working with infrastructure for Machine Learning models
• Senior, Staff, or Principal level engineering experience
• Experience on compute teams at major tech companies (e.g., Google, Amazon, Meta) or AI startups training machine learning models
• Track record of leading and building production ML infrastructure and platforms that deliver on major product initiatives
• Proficiency in Python and common infrastructure tools: Linux, Kubernetes, Terraform/Pulumi, etc.
• Strong knowledge of cloud-native systems, Kubernetes workloads, and distributed systems
• Effective communication skills for collaborating with researchers and various stakeholders
• Computer Science degree

Preferred Qualifications

• Experience with AWS and GCP cloud platforms
• Background in scaling ML systems from prototype to production
• Familiarity with ML research and latest developments in the field
• Previous startup experience
• Passion for advancing machine learning technology

Compensation and Benefits

• Competitive salary range: $180K - $250K (higher for exceptional candidates)
• Significant equity package
• Comprehensive health benefits
• Visa sponsorship available (TN, H1-B transfer, and O1)
• Opportunity to work with cutting-edge ML technology
• Chance to make significant impact at an early-stage, well-funded AI startup
• Collaborative team of 22 talented professionals