Company: Techire Ai
Location: San Francisco Bay Area
Posted on: November 20
Ready to own the complete ML stack while reshaping how Generative AI transforms advertising?
Join this start-up as an ML Engineer building a Generative AI based advertising platform.
Youll contribute to a sophisticated solution that leverages consumer interaction data and generative models to create personalized ads across multiple modalities - from language to image and video generation.
Despite being only 5 people strong, they're already generating revenue and have secured seed funding from prestigious investors including a16z. Now they're ready to scale and tackle even more complex challenges with their AI-based system.
In this role, you'll be solving complex technical challenges such as implementing RLHF to enhance system intelligence, advanced prompting and fine-tuning of LLMs, and improving user efficiency. You'll have significant autonomy, owning the entire pipeline and keeping up to date with the state of the art to maintain top-level performance.
The role combines research, development, and experimentation, with approximately 20-30% focused on research, 40% on building and training models, and 30-40% on experimentation, performance improvement and deployments. While primarily focused on language/text, the team works across multiple modalities, so an interest in multimodal applications would be valuable.
Requirements:
Experience with recommendation systems or ad tech would be beneficial but isn't essential.
Your package includes a base salary of up to $225k (negotiable based on experience), plus a 10% bonus, competitive equity, healthcare benefits, unlimited holiday and more. Total compensation will be adjusted relative to your level of experience.
The role is based on-site in San Francisco, with visa sponsorship available for exceptional candidates.
The interview process is straightforward:
If you're excited about applying cutting-edge AI to transform the $600B advertising industry, we'd love to hear from you. All applicants will receive a response.