In-Demand Python developer Jobs in Mona Vale, Nsw

Senior Applied Scientist
NinjaTech AI —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Research
Workflow Orchestration & Fullstack AI Engineer
Shoolin Consultancy —Sydney NSW
- $650,000 - $700,000 a day
- Contract
- DevOps
- AWS
- APIs
Quick Apply
2d
Platform Support Engineer - Recently Acquired & Growing Australian FinTech!
The Argyle Network —Sydney NSW
- $110,000 a year
- Full-time
- SQL
- AWS
- APIs
Platform Engineer-12 month fixed term contract
Ticketek Entertainment Group —Sydney NSW
- Contract
- Hybrid work
- DevOps
- AWS
- Construction experience
- Annual leave
- Parental leave
Quick Apply
3d
Lead Developer | Director | Tax and Legal Digital
PWC Australia —Sydney NSW
- SQL
- SDLC
- Parental leave
3d
GitHub Architect – DevOps
UST —Sydney NSW
- Hybrid work
- Azure
- DevOps
- Administrative experience
- Health insurance
Quick Apply
Senior Test Automation Engineer
Advanced Navigation —Sydney NSW
- Computer Science
- Engineering
- Bachelor's degree
Global Advisory & Markets, GSET Production Engineer, Vice President, Sydney
Goldman Sachs —Sydney NSW
- Full-time
- SQL
- Analysis skills
- Communication skills
- Travel reimbursement
- Health insurance
Engineering Lead, Cloud Automation
Virgin Australia —Sydney NSW
- Full-time
- Hybrid work
- AWS
- AI
- Work from home
Security Engineer, Google Threat Intelligence
Google —Sydney NSW
- Full-time
- Bachelor's degree
- No degree
- Scripting
Global Advisory & Markets – GS Electronic Trading (GSET) Engineer, VP, Sydney
Goldman Sachs —Sydney NSW
- Full-time
- Management
- SQL
- Analysis skills
- Travel reimbursement
- Health insurance
EY-Parthenon - Senior Consultant - ROAM Transaction Support
EY —Sydney NSW
- Microsoft Excel
- SQL
- Recruiting
- Parental leave
DevSecOps Engineer
Transport For NSW —Macquarie Park NSW
- $141,678 - $158,677 a year
- Full-time
- Azure
- Management
- DevOps
4d
Engineering Manager, Developer Experience
Cover Genius —Sydney NSW
- Full-time
- Hybrid work
- DevOps
- Scripting
- Organisational skills
- Work from home
Solutions Architect - Payments
Airwallex —Sydney NSW
- Full-time
- Salesforce
- Bachelor's degree
- APIs
Principle Platform Engineer
NTT DATA —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Management
- DevOps
Mobile Infrastructure Engineer — Mobile Workflows
Canva —Sydney NSW
- Full-time
- Hybrid work
- University
- Scripting
- Parental leave
Quick Apply
Senior Gemini Platform Engineer
Accenture —Sydney NSW
- Full-time
- Management
- ERP systems
- SQL
Solutions Architect
Future Secure AI —Sydney NSW
- Azure
- Computer Science
- DevOps
Quick Apply
Lead AI Engineer
Zurich Insurance —North Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AWS
- Machine learning
- Annual leave
- Parental leave
11d

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Senior Applied Scientist

NinjaTech AI
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Law
Doctoral degree
Computer Science
Deployment
Data structures
Research
Master's degree
Analysis skills
Machine learning
Deep learning
Natural language processing
AI
Software architecture

Full Job Description

Come build the intelligence behind autonomous AI employees.

At NinjaTech AI, we’re building AI systems that do more than answer questions. Our agents plan, reason, use tools, operate computers, collaborate with humans, and execute complex work over long periods of time. As a Senior Applied Scientist, you’ll help push the capabilities of these systems forward through applied research in reinforcement learning, LLM training, model optimization, natural language systems, and multimodal AI.

This is a highly hands-on role for someone who wants to take cutting-edge research and make it work at production scale. You’ll work closely with our Chief Science Officer, engineering and product leaders, ML engineers, and software developers, with significant ownership over the models and systems that power Ninja.

What You’ll Own

Research, prototype, train, evaluate, and deploy advanced ML and LLM systems, with a particular focus on reinforcement learning and agentic AI.
Develop and apply state-of-the-art RL techniques, including RLHF and related approaches, to improve model reasoning, reliability, accuracy, and task performance.
Design large-scale training and evaluation datasets, including synthetic data generation, statistical modeling, and data-mining techniques.
Train, fine-tune, distill, quantize, and optimize large language models for production environments.
Build high-performance multi-GPU training and inference pipelines using modern acceleration and mixed-precision techniques.
Develop rigorous evaluation frameworks and experimentation systems to measure model quality, behavior, and performance.
Design and run experiments, including A/B tests, to validate model and product improvements.
Build robust, scalable production ML systems and write high-quality code primarily in Python and Rust.
Optimize algorithms and systems for latency, throughput, memory efficiency, and cost.
Advance NinjaTech’s natural-language and speech capabilities, including NLU/NLG, automatic speech recognition, TTS, and STT.
Translate novel academic research into practical capabilities that can be shipped to users.
Continuously evaluate emerging research, models, and techniques and determine where they can meaningfully improve Ninja’s AI systems.

What We’re Looking For

Master’s degree or PhD in Computer Science, Machine Learning, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
Significant experience building end-to-end machine learning or deep learning systems, from data and experimentation through training and production deployment.
Deep understanding of machine learning, deep learning, probability, statistics, optimization, and algorithms.
Strong experience with reinforcement learning methods such as PPO, actor-critic methods, RLHF, or related approaches.
Hands-on experience training, fine-tuning, evaluating, and deploying transformer-based language models.
Strong proficiency in Python; experience with Rust is highly valued.
Deep experience with PyTorch and modern ML tooling and libraries.
Experience with distributed and multi-GPU training, mixed precision, model distillation, quantization, ONNX, and inference optimization.
Experience in one or more of the following areas: natural language understanding, natural language generation, information retrieval, question answering, knowledge extraction, text classification, or speech/audio processing.
Strong understanding of software architecture, data structures, algorithms, database systems, and runtime/performance analysis.
Ability to move comfortably between research and engineering, from exploring a new technique in a paper to shipping a reliable production implementation.
Strong analytical instincts and the ability to independently investigate ambiguous problems, form hypotheses, run experiments, and make evidence-based decisions.

At NinjaTech AI, you won’t be optimizing a small component of a mature system. You’ll help shape the core intelligence of an autonomous AI platform and turn advances in AI research into capabilities used by real customers.

Apply Now

Refine Your Search

python developer jobs in mona vale, nsw

Senior Applied Scientist

Workflow Orchestration & Fullstack AI Engineer

Platform Support Engineer - Recently Acquired & Growing Australian FinTech!

Platform Engineer-12 month fixed term contract

Lead Developer | Director | Tax and Legal Digital

GitHub Architect – DevOps

Senior Test Automation Engineer

Global Advisory & Markets, GSET Production Engineer, Vice President, Sydney

Engineering Lead, Cloud Automation

Security Engineer, Google Threat Intelligence

Global Advisory & Markets – GS Electronic Trading (GSET) Engineer, VP, Sydney

EY-Parthenon - Senior Consultant - ROAM Transaction Support

DevSecOps Engineer

Engineering Manager, Developer Experience

Solutions Architect - Payments

Principle Platform Engineer

Mobile Infrastructure Engineer — Mobile Workflows

Senior Gemini Platform Engineer

Solutions Architect

Lead AI Engineer

I want to receive the latest job alert for python developer in mona vale, nsw

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