Applied Scientist
On-site
Full Time
#Engineering
#AI
#Content Creation
#Machine Learning
#Python
#C C++
#Model Training
#Web Applications
#Natural Language Processing
#Computer Vision
#Learning
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 announcement.
- 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.
The Mission:
As an Applied Scientist, 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 Researchers, Designers, Product Managers and engineers driving the technical designs and implementations.
Core Responsibilities:
We are looking for a strong Applied Scientist across multiple levels 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:
- Developing cutting-edge machine learning and Generative AI models for image, text, audio and video
- Defining 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.
- Owning the delivery of key business, product and technology initiatives
- Establishing and implementing processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale.
- Investigation, prototyping and delivering innovative solutions.
- Establishing a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics.
Minimum Qualifications:
- Ph.D. in Computer Science, a related field, or equivalent practical experience.
- Specialization in Computer Vision, Natural Language Processing, Generative AI, or Multimodal learning.
- Proficiency in Python or C/C++.
- Proven track record of contributions to the research community, demonstrated through publications in top venues such as CVPR, ICML, ICLR, NeurIPS, etc.
- Have a track record of coming up with new ideas or improving upon existing approaches in machine learning, demonstrated by accomplishments such as first author publications or projects
- 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
- 2+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale
- Hands-on experience in deploying and tuning Generative AI models
- Experience working at a high-growth startup or tech company
Benefits
- Competitive salaries and equity
- Comprehensive benefits package (medical, dental, vision)
- Opportunities for professional growth and development
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 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 create a culture of respect, understanding, and collaboration.
