5 hours ago
Base Salary
$188k - $200k/yr
Responsibilities
- Build machine learning models, systems, and web applications that deliver generative AI capabilities to customers.
- Define roadmaps for generating personalized and safe text, image, audio, and video content.
- Own initiatives across technical design, specification, development, testing, and launch.
- Establish processes for training, fine-tuning, testing, and operating generative AI models at significant scale.
- Investigate, prototype, and deliver innovative machine learning solutions.
- Collaborate with engineers, product teams, business teams, designers, and product managers to improve the product and drive growth.
- Define, track, and operationalize feature, product, and company-level metrics.
Requirements
- Master’s or PhD degree in Computer Science or a related field.
- At least 5 years of experience designing, building, and scaling systems for training, testing, and running machine learning models at scale.
- Experience building and evolving machine learning training and inference systems at significant scale.
- Track record of developing or improving machine learning ideas, demonstrated through accomplishments such as first-author publications or projects.
- Proficiency in Python and C/C++ or equivalent.
- Ability to create self-contained, reusable, and testable modules.
- Experience with AzureML, GCP Vertex, AWS Sagemaker, or similar platforms.
- Hands-on experience deploying and tuning generative AI models in the cloud or on a local system is preferred.
- Experience at a high-growth startup or technology company is preferred.
- Publications or research experience in machine learning venues and/or vision or language applications is a plus.
Benefits
- Hybrid role based at the Palo Alto headquarters with collaboration in the office three days per week.
- Base salary range of $188,000-$200,000, plus equity and 401(k).
- Medical, dental, and vision insurance for employees and their families.
- HSA and FSA options.
- Flexible time off, including parental leave.
- Well-being programs supporting mental and physical health.
- Daily lunch and snacks.
- Mentorship and the opportunity to work with AI leaders on shipped products.
Categories
About Typeface
Typeface builds an enterprise marketing orchestration platform that uses generative AI, governed agents, and shared brand intelligence to plan, produce, and manage on-brand content across channels. Its suite includes Arc Graph, Arc Forge, Arc Agents, and Arc Spaces, with integrations to Salesforce, Microsoft, and Google; it sells on a SaaS basis to large organizations. Founded in 2022 and headquartered in Palo Alto, the company counts ASICS and Johnson Controls among its customers.