AI Innovation Leader
4 weeks ago
Kiva AI is a San Francisco-based startup at the forefront of AI innovation, revolutionizing data labeling, collection, and curation through our AI marketplace. We're leveraging cutting-edge technologies like AI and Web3 infrastructure to deliver scalable solutions that push the boundaries of AI applications. With over 70% of the multi-billion-dollar market's demand still unmet, we see a tremendous opportunity to establish ourselves as industry leaders. Backed by strong funding and guided by experienced industry veterans, Kiva AI is poised for exceptional growth and a transformative impact.
Key Responsibilities
- Develop and build specialized language and multimodal models to meet customer needs.
- Stay ahead of the latest AI trends and innovations, advising on the integration of cutting-edge technologies.
- Optimize model performance for scalability, accuracy, and efficiency across diverse use cases.
- Lead research initiatives and contribute to the AI knowledge base through publications, papers, and open-source contributions.
- Collaborate closely with cross-functional teams, including product and engineering, to align AI solutions with business goals.
- Engage with external partners, research communities, and conferences to showcase Kiva AI's innovations and extend the company's influence in the AI ecosystem.
- PhD in Computer Science, Artificial Intelligence, or a related technical field, or equivalent industry experience.
- 3+ years of hands-on experience building, deploying, and evaluating production-ready AI models, preferably in a startup or technology company environment.
- Track record of publishing in top-tier peer-reviewed AI conferences or journals.
- Proven expertise in natural language processing, including areas such as text classification, named entity recognition, and language generation.
- Proficiency in Python and experience with AI frameworks like TensorFlow or PyTorch.
- Strong analytical skills with the ability to articulate complex concepts to both technical and non-technical stakeholders.
- Eagerness to stay ahead of emerging trends and contribute to the broader AI research community.
- Proven experience working with multilingual NLP models.
- Research expertise in post pre-training methodologies, such as SFT, RLHF, and evaluations.
- Strong familiarity with cloud-based platforms such as AWS, GCP, or Azure.
- Prior experience in a startup environment.
- Competitive salary and benefits.
- Generous initial equity grants.
- Unlimited PTO.
- Wellness benefits.
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