2 weeks ago

Senior Applied Scientist

NinjaTech AI

Sydney

2 weeks ago

Apply

NinjaTech AI is seeking a Senior Applied Scientist to lead applied research in reinforcement learning, LLM training, and multimodal AI for autonomous AI employees. The role involves hands-on development of production-scale ML systems, close collaboration with leadership, and significant ownership of models and systems.

Core AIHybridFull-timeSeniorMachine LearningDeep Learning

Senior Applied Scientist

Apply

Core AIHybridFull-timeSeniorMachine Learning

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Machine LearningDeep LearningReinforcement LearningRLHFPPOLarge Language ModelsPyTorchPythonRustDistributed TrainingMixed PrecisionModel DistillationQuantizationONNXNatural Language Processing

Soft Skills

AnalyticalProblem SolvingCommunicationCollaborationLeadership

Key Responsibilities

•Research, prototype, train, evaluate, and deploy advanced ML and LLM systems, with a focus on reinforcement learning and agentic AI.
•Develop and apply state-of-the-art RL techniques, including RLHF, 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, ASR, 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.

Senior Applied ScientistAIMachine LearningReinforcement LearningLLMNatural Language ProcessingMultimodal AIResearchTechnologyHybrid

Key Responsibilities

•Research, prototype, train, evaluate, and deploy advanced ML and LLM systems, with a focus on reinforcement learning and agentic AI.

•Develop and apply state-of-the-art RL techniques, including RLHF, 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, ASR, 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.