Artificial Intelligence Engineer

Join Thoth AI's Cutting-Edge R&D Team in Silicon Valley:
Pioneering the Future of AI Training and Innovation

Thoth AI is at the forefront of data-driven AI innovation, delivering high-quality data collection and annotation services that power the world's most advanced AI applications. By blending automated tools with expert human oversight, we ensure precision, scale, and reliability for industries ranging from NLP and speech recognition to business automation and beyond. As we expand our global footprint, we're thrilled to launch a new R&D hub in the heart of Silicon Valley—where groundbreaking ideas meet limitless potential.

If you're passionate about pushing the boundaries of AI, this is your chance to shape the next generation of intelligent systems!

We're building a dynamic R&D team focused on revolutionary advancements in AI model training and development. This isn't just a job—it's an invitation to create, experiment, and invent in a fast-paced environment where your ideas drive real-world impact. Ideal for innovators who thrive on new projects, cutting-edge research, and collaborating on moonshot concepts.

• Innovate in Active Learning
  :
  Design and implement novel active learning strategies to optimize data selection and model efficiency, reducing training costs while boosting performance.
• Advance LLM Training
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  Explore state-of-the-art techniques for training large language models (LLMs), including fine-tuning, prompt engineering, and scaling methodologies.
• Synthetic Data Generation
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  Develop creative approaches to generating high-fidelity synthetic data, with a special emphasis on robotics applications—enabling safer, more robust AI systems for real-world deployment.
• Reimagine Model Building and Training
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  Pioneer new architectures, algorithms, and pipelines for building and training AI models from the ground up, challenging conventional methods.
• Probe and Test AI Models
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  Invent meta-models that learn to intelligently probe, evaluate, and stress-test other AI systems, uncovering vulnerabilities and enhancing reliability.
• Lead New Projects
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  Initiate and prototype fresh ideas, from proof-of-concept research to scalable implementations, in a collaborative team setting.
• Collaborate and Publish
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  Work closely with cross-functional teams, contribute to open-source projects, and potentially publish findings in top AI conferences (e.g., NeurIPS, ICML).

• Technical Expertise
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  Strong hands-on experience with Generative AI (GenAI), LLMs (e.g., GPT, Llama), and core AI/ML frameworks (e.g., PyTorch, Tensor Flow, Hugging Face). Comfortable diving into active learning, synthetic data tools, and model evaluation techniques.
• Research Mindset
  : A proven track record of innovative thinking—whether from academia, industry R&D, or personal projects. You love experimenting with new ideas and aren't afraid to fail fast and iterate.
• Educational Background
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  Advanced degree (MS/PhD preferred) in Computer Science, AI, Machine Learning, Robotics, or a related field.
• Skills
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  Proficiency in Python, data pipelines, cloud computing (e.g., AWS/GCP), and version control (Git). Experience with robotics simulation (e.g., ROS, Gazebo) or adversarial testing is a plus.
• Soft Skills
  :
  Self-starter with excellent problem-solving abilities, strong communication for sharing complex ideas, and a collaborative spirit. Must be authorized to work in the US.
• Location
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  Based in Silicon Valley/SF BAY AREA—hybrid/remote options available for exceptional candidates.

• Impactful Work
  :
  Be part of a company that's fueling AI breakthroughs across industries, from autonomous systems to intelligent automation.
• Growth Opportunities
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  Access to cutting-edge resources, mentorship from AI leaders, and the freedom to pursue passion projects.
• Competitive Package
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  Competitive salary, very competitive equity, comprehensive benefits (including full Health/Dental/Vision coverage).
• Vibrant Culture
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  Join a diverse, global team in the epicenter of tech innovation—think hackathons, AI meetups, and endless inspiration from the Valley's ecosystem.
• Future-Proof Career
  :
  As AI evolves, so will you—working on tech that could redefine how machines learn and interact.