Typeface
Senior Machine Learning Engineer
Typeface is on a mission to help everyone express their unique imagination. We believe technology is a creative partner that empowers any company to tell their unique stories faster and easier than ever before. Generative AI platforms represent a major breakthrough to create content at tremendous speed and scale. For enterprises to successfully leverage their potential, they need to include their unique voice and style and ensure responsible AI practices. We unite content velocity with brand personalization and safety, so that every company can achieve its creative potential. We are looking for passionate individuals who want to help build a fast-growing GenAI company from the ground up. As a Senior 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. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. Key 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 Qualifications: 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. 5+ 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 Preferred Qualifications: 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 Location: This is a hybrid role reporting to our Palo Alto office 3 days a week. Base Salary: The salary range for this role is $165,000-$220,000. Benefits for Full-time Employees: Medical, dental, and vision insurance coverage for all employees Competitive salary and equity compensation Flexible PTO Parental Leave Hybrid schedule with company provided lunch when in office Opportunities for professional growth and development Work with a fast-growing startup and be a part of an exciting journey Equality Opportunity Statement Typeface is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity & Inclusion Statement At Typeface, we embrace everyone and believe that diversity and inclusion are essential to our success. We are committed to creating a workplace that is welcoming and inclusive for all employees, regardless of their background or identity. We value diversity in all its forms and strive to cultivate a culture where all employees can bring their best selves to work.
Typeface is on a mission to help everyone express their unique imagination. We believe technology is a creative partner that empowers any company to tell their unique stories faster and easier than ever before. Generative AI platforms represent a major breakthrough to create content at tremendous speed and scale. For enterprises to successfully leverage their potential, they need to include their unique voice and style and ensure responsible AI practices. We unite content velocity with brand personalization and safety, so that every company can achieve its creative potential. We are looking for passionate individuals who want to help build a fast-growing GenAI company from the ground up. As a Senior 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. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. Key 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 Qualifications: 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. 5+ 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 Preferred Qualifications: 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 Location: This is a hybrid role reporting to our Palo Alto office 3 days a week. Base Salary: The salary range for this role is $165,000-$220,000. Benefits for Full-time Employees: Medical, dental, and vision insurance coverage for all employees Competitive salary and equity compensation Flexible PTO Parental Leave Hybrid schedule with company provided lunch when in office Opportunities for professional growth and development Work with a fast-growing startup and be a part of an exciting journey Equality Opportunity Statement Typeface is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity & Inclusion Statement At Typeface, we embrace everyone and believe that diversity and inclusion are essential to our success. We are committed to creating a workplace that is welcoming and inclusive for all employees, regardless of their background or identity. We value diversity in all its forms and strive to cultivate a culture where all employees can bring their best selves to work.