Who is Recruiting from Scratch : Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. 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

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