Typeface is looking for a Senior Machine Learning Engineer to help build innovative Generative AI solutions that deliver the power of Generative AI to their customers, enabling them to generate brand-affinized, hyper-personalized, and safe content.
Requirements
- Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems.
- 10+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale
- Have a track record 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
Responsibilities
- Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, 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
Other
- Master’s or PhD degree in Computer Science or a related field
- 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
- This is a hybrid role reporting to our Palo Alto office 3 days a week.
- The salary range for this role is $205,000-$235,000.
