Staff ML Engineer/Applied Scientist

Senior Machine Learning Engineer 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. 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. #J-18808-Ljbffr