Typeface
Typeface is the generative AI application to supercharge personalized content creation for businesses$1. .$1
11 - 50
ML Engineer
March 12
🏢 In-office - Bay Area
Typeface
Typeface is the generative AI application to supercharge personalized content creation for businesses$1. .$1
11 - 50
Description
• As an Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. • Define the roadmap for generation of various content types including text, image, audio, and video enabling us to generate brand-affinitized, hyper-personalized, and safe content • Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch. • Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale. • Investigate, prototype and deliver innovative solutions • Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth • Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics
Requirements
• Master’s or PhD degree in Computer Science or a related field • Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems. • 2+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale • Have a track records of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects • Proficiency in Python, C/C++ (or equivalent) • Ability to create self-contained, reusable, and testable modules and passionate about prototyping • Prior experience with AzureML, GCP Vertex, AWS Sagemaker, or similar platforms • Hands-on experience in deploying and tuning Generative AI models in cloud or on local system is a plus • Experience working at a high-growth startup or tech company • Publications and research experiences in ML venues and/or vision/language applications are a plus
Benefits
• Competitive salaries and equity • Comprehensive benefits package (medical, dental, vision) • Opportunities for professional growth and development
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