In-Demand Java Jobs in Newstead, Qld

Research Scientist - LLM Foundation Models
Binance —Brisbane QLD
- Full-time
- Hybrid work
- Research
- Master's degree
- APIs
Quick Apply
Implementation Engineer
EngFlow —Brisbane QLD
- $80,000 - $120,000 a year
- Full-time
- Remote
- Azure
- Writing skills
- AWS
- Health insurance
- Dental insurance
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Enterprise Test Automation Architect
Infosys —Brisbane QLD
- $129,311 - $142,018 a year
- Azure
- SQL
- Scripting
- Health insurance
- Parental leave
Algorithm Engineer, Market Growth
Binance —Brisbane QLD
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
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Staff Production Engineer
Canva —Brisbane QLD
- Full-time
- Remote
- AWS
- AI
- Parental leave
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Production Engineering Manager
Canva —Brisbane QLD
- Full-time
- Remote
- Management
- Systems design
- AWS
- Parental leave
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Platform DevOps Engineer
Future Secure AI —Brisbane QLD
- On call
- Azure
- DevOps
- AWS
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Site Reliability Engineer
Future Secure AI —Brisbane QLD
- Azure
- DevOps
- AWS
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Cloud & AI Platform Specialist - Azure
Datacom —Brisbane QLD
- Full-time
- Hybrid work
- Azure
- APIs
- AI
- Parental leave
- Employee discount
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12d
Senior Expert - Software Implementation (Hybrid Work Schedule)
Quorum Business Solutions —Brisbane QLD
- Full-time
- Hybrid work
- Writing skills
- Engineering
- English
3d
Principal Production Engineer
Canva —Brisbane QLD
- Full-time
- Remote
- AWS
- AI
- Parental leave
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Site Reliability Engineer II, APAC
Jamf —Brisbane QLD
- On call
- Remote
- Writing skills
- AWS
- AI
5d
Senior Software Engineer, Core Experiences - Brisbane, Australia
Speechify —Brisbane QLD
- Remote
- APIs
2d
Solution Designer
Accenture —Brisbane QLD
- Full-time
- AWS
- Analysis skills
- APIs
- On-the-job training
- Parental leave
Solutions Architect
Future Secure AI —Brisbane QLD
- Azure
- Computer Science
- DevOps
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Senior Pega Developer (Contract)
NCS Australia —Brisbane QLD
- Contract
- Hybrid work
- Case management
- Agile
- Leadership
- Parental leave
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Sr. Solutions Architect
Databricks —Brisbane QLD
- AI
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Research Scientist - LLM Foundation Models

Binance -
Brisbane QLD

Quick Apply

Job Details

Full-time

Qualifications

Law
Data structures
Research
Master's degree
Deep learning
Natural language processing
APIs
AI
Communication skills

Full Job Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Role

We are seeking a highly skilled Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models. In this role, you will enhance model performance across the entire development lifecycle—including data acquisition, supervised fine-tuning (SFT), reward modelling, and reinforcement learning—while driving innovations in reasoning and decision-making. You will synthesise large-scale, high-quality datasets through rewriting, augmentation, and generation techniques to strengthen foundation models during pretraining, SFT, and RL stages. A key part of the role involves solving complex tasks using System 2 thinking and applying advanced decoding strategies such as MCTS and A*. You will design and implement robust evaluation methodologies, teach models to interact with external tools, APIs, and code interpreters, and build agents and multi-agent systems capable of addressing sophisticated real-world problems.

Responsibilities

Reasoning and planning for foundation models: Enhance reasoning and planning throughout the entire development process, including data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning, to improve overall performance.
Synthesize large-scale, high-quality data using methods such as rewriting, augmentation, and generation to improve the capabilities of foundation models in various stages (pretraining, SFT, RL).
Solve complex tasks using system 2 thinking and leverage advanced decoding strategies such as MCTS, A*.
Investigate and implement robust evaluation methodologies to assess model performance at various stages.
Teach foundation models to use tools, interact with APIs, and code interpreters. Build agents and multi-agent systems to solve complex tasks.

Requirements

Proficiency in research experience with RL, LLM, and familiarity with large-scale model training is preferred.
Proficiency in data structures and fundamental algorithm skills, and fluency in Python or C++/Java.
Experience with influential projects or papers in RL, NLP, or Deep Learning is preferred.
Excellent problem analysis and problem-solving skills, capable of deeply addressing challenges in large-scale model training and application.
Good communication and collaboration skills, with the ability to explore new technologies with the team and promote technological progress.

Why Binance

Shape the future with the world’s leading blockchain ecosystem
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle unique, fast-paced projects with autonomy in an innovative environment
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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java jobs in newstead, qld

Research Scientist - LLM Foundation Models

Implementation Engineer

Enterprise Test Automation Architect

Algorithm Engineer, Market Growth

Staff Production Engineer

Production Engineering Manager

Platform DevOps Engineer

Site Reliability Engineer

Cloud & AI Platform Specialist - Azure

Senior Expert - Software Implementation (Hybrid Work Schedule)

Principal Production Engineer

Site Reliability Engineer II, APAC

Senior Software Engineer, Core Experiences - Brisbane, Australia

Solution Designer

Solutions Architect

Senior Pega Developer (Contract)

Sr. Solutions Architect

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