Thoth AI is a global AI data solutions company with R&D operations in Silicon Valley, working with AI teams to support the design, development, and deployment of production-grade AI systems.
We help our partners build and scale high-quality datasets and evaluation frameworks for advanced models, including LLMs, VLMs, multimodal systems, and applied AI used in real-world products, such as robotics.
Our focus is on the areas that most directly impact model outcomes: data quality, edge-case coverage, and robust evaluation. Through a combination of technical expertise, disciplined processes, and global delivery capabilities, we help organizations deploy AI systems that are reliable, scalable, and ready for real-world use.
Mission
To help organizations build and deploy reliable AI systems by providing high-quality data, evaluation, and operational support that meet production requirements.
Vision
To be a trusted global partner for AI teams, recognized for enabling safe, reliable, and scalable AI deployments across industries and applications.
Values
Quality & Reliability We prioritize accuracy, consistency, and robustness in every dataset and evaluation workflow.
Responsible Execution We operate with strong governance, clear processes, and respect for client, user, and regulatory requirements.
Collaboration We work closely with our partners to align on goals, constraints, and timelines.
Practical Innovation We apply research and technical advances in ways that deliver measurable, real-world value.
Global Delivery Excellence We combine technical leadership with scalable, dependable global operations.
Rating Reviews
Rating is calculated based on
2
reviews and is evolving.
Pros: The health insurance is pretty solid, it's a decent package for a tech startup. We also get unlimited PTO, which really helps with work-life balance as a Software Engineer.
Cons: Pay for AI development roles, especially for experienced folks, feels a bit low compared to other companies. Don't expect huge bonuses or super generous stock options here. It's tough when you see market rates elsewhere.
Advice to Management: Review compensation packages, especially for machine learning engineering and other key technical roles. Being more competitive with salaries and equity would really help retain talent in this tight market for AI development.
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Pros: The people are genuinely smart and collaborative. I've learned a ton working on cutting-edge machine learning models here as a Software Engineer. It's a true startup vibe, which is cool for innovation.
Cons: There's a lot of churn, which impacts team cohesion and morale. Communication from leadership can be pretty inconsistent; it's tough to get clear answers sometimes. The remote work setup often feels disjointed.
Advice to Management: Work on clearer communication and defining roles better. Help foster a more stable environment to reduce turnover, especially for AI development teams. Invest in consistent cultural initiatives.
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What is the typical salary range for a Machine Learning Engineer at Thoth AI in the New York City area?
For a Machine Learning Engineer role at Thoth AI in NYC, the salary typically falls between $120,000 and $160,000 annually. This range can vary based on specific experience, project involvement, and the size of the AI models you'd be working with.
What is the day-to-day working culture like at Thoth AI for a data scientist?
At Thoth AI, the culture for data scientists is collaborative and focused on innovation. You'll find a mix of independent work on complex problems and regular team discussions to share insights and approaches.
