We invite you to join NinjaTech AI as an Applied Scientist as we innovate together to build autonomous AI agents.

About us:

NinjaTech AI is a generative AI startup (B2C and B2B) with headquarters in Silicon Valley and offices in Sydney and Vancouver. Our all-in-one AI assistant, Ninja, combines the best AI models and custom AI agents to empower our customers to quickly complete tasks across research, writing, coding, image generation, and more. (myNinja.ai is now ranking top in accuracy benchmarks!). NinjaTech AI is backed by Alexa Fund and Samsung Ventures and we are on track to raise Series A funding in 2025.

The Applied Scientist is a full-time onsite position, based at our Sydney office (great office space, free lunch). Our team works in a fast-paced and collaborative work environment. We get a lot done when we ideate together and iterate quickly. Our velocity, scientific rigor and engineering excellence are exceptional.

About you:

You would be a great fit if you have:
- a PhD in Science and a strong publication record
- strong Python coding skills
- experience in practical R&D and LLM training and fine-tuning
- good communication skills.

About the role:

You will report directly to the Chief Science Officer and will have ownership in these areas of your work:

Research, design, experiment with, and build high-accuracy ML models, focusing on surveying state-of-the-art publications on Autonomous agents. Find ways to reproduce cutting-edge innovations and build upon research findings.

Apply advanced ML techniques to analyze complex datasets, extract meaningful insights, and develop predictive models to improve our LLM’s accuracy and performance.

Devise and implement data augmentation techniques to improve the training and performance of our LLMs.

Build rapid prototypes and proof of concepts to turn ideas into our product’s features and infrastructure.

Stay up-to-date with the latest advancements in AI, DL and ML, and propose ways to apply cutting-edge techniques to improve our LLMs, algorithms, and overall system performance.

Design, organize, and analyze complex and large-scale datasets using tools from advanced statistics to generate insights that will help to guide engineering and business decisions.

Work with the engineering teams to determine and prepare useful data sets for model training and testing.

Collaborate with cross-functional teams including engineering, product, and design to design new product features.

Requirements:

PhD in science.

Strong understanding of data structures, data modeling, database systems, software architecture, algorithms, and run-time analysis.

Deep knowledge of math, probability, statistics and algorithms.

Familiarity with machine learning frameworks like PyTorch and relevant libraries.

Experience in practical R&D and LLM training and fine-tuning, and proven ability to solve real–world problems using cutting–edge ideas and independent research

Analytical and problem-solving skills for design, creation and testing of custom software

Adept at adapting academic ideas and theoretical algorithms into a production system.

Benefits:

NinjaTech AI offers excellent benefits:

Annual Health insurance subsidy

Superannuation

Paid Time Off (Vacation, Sick & Holidays)

Paid lunches when you work on-site

Stock Option Plan