Staff ML Engineer/Applied Scientist

Who we are?
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.

Why join us?

• Bleeding edge technology: We explore uncharted territory at the intersection of art and science. We strive to revolutionize content, amplifying human creativity with cutting-edge AI in a safe and responsible way.


• Best-in-class product: We built the leading enterprise-grade generative AI solution, so any business, from startups to Fortune 500 companies, can 10x personalized content at scale. Typeface combines the best-in-class AI platforms across the board with our own brand-personalized AI model to hyper-personalize content at scale with a responsible AI approach.


• World-class team: Founded by the former CPO & CTO of Adobe, Abhay Parasnis, and a highly experienced team with a proven track record of building revolutionary, long-lasting AI, SaaS, and media technologists that are completely focused on customer impact.


• Top-tier Investors: Backed by top-tier venture capital firms: Lightspeed Venture Partners, Salesforce Ventures, GV (Google Ventures), Madrona, Menlo Ventures, and M12 (Microsoft’s Venture Fund). Check out our Series B announcemen t .


• Rapid customer traction : Overwhelming demand from Fortune 500 companies and popular digital-native brands from every industry.


• Awards & recognition: Honored to be a winner of 10+ industry awards for our unique approach to enterprise GenAI, including Fast Company ’ s “Top 5 Next Big Things in Tech” and Adweek’ s AI Company of the Year.
  

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:

We are looking for a strong Senior Machine Learning engineer to join our team and help us build innovative Generative AI solutions that deliver the power of Generative AI to our customers. You will be responsible for:

• 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.

• 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

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 $205,000-$235,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.

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.