14 AI Research Scientist jobs in Australia

**Career Area:**
Engineering
**Job Description:**
**Your Work Shapes the World at Caterpillar Inc.**
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
**About Us** :
With 2024 sales and revenues of $64.8 billion, Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives.
Caterpillar does business on every continent, principally operating through three primary segments - Construction Industries, Resource Industries and Energy & Transportation - and providing financing and related services through our Financial Products segment.
**The Global Data Science Architect will:**
+ Serve as the technical lead for data science architecture across Caterpillar's Autonomy & Automation (A&A) programs, and this role is embedded within the Global Data Science team which acts as a supplier to multiple solution trains and cross-functional A&A initiatives.
+ Work closely with A&A Cloud, OnPrem and Onboard Application Architects, Caterpillar IT & Cat Digital Architects, Global Data Science Tech BAs, ensuring that traditional AI and GenAI capabilities are designed to accelerate product innovation and internal tooling velocity.
**Key Responsibilities:**
+ Architect and oversee Traditional AI and Governed AI solutions across A&A domains.
+ Collaborate with Tech BAs to translate business requirements into scalable, production-ready architectures.
+ Define and maintain architectural standards for model delivery, documentation, and deployment (e.g., .WHL packaging, MLOps & GenAI integration).
+ Ensure ISO 9001 compliance and alignment with Caterpillar's AI governance and IT infrastructure.
+ Support Epic Grooming and Front Door processes working with Tech BAs and ensuring architectural consistency across pods.
**Required Skills & Experience:**
+ 10+ years in data science, data engineering, or architecture roles, with at least 3 years in a global or enterprise architect capacity.
+ Proven experience designing and deploying Traditional AI and Generative AI solutions at scale in production environments.
+ Strong understanding of data governance, model lifecycle management, and enterprise integration.
+ Proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch).
+ Familiarity with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes).
+ Experience working with cross-functional teams including Tech BAs, product managers, and solution architects.
+ Excellent communication and stakeholder engagement skills.
**Key Skill:**
**Influencing Through Expertise:** Knowledge of effective influencing tactics and strategies; ability to use these to deepen own expertise and impact or challenge decisions within and outside own organization.
**Level Working Knowledge:**
+ Acquires expertise through training and practical experience in the relevant field.
+ Analyzes the needs, desires, and motivations of the other party to effectively understand a given scenario.
+ Identifies who the decision makers are and how they receive information.
+ Provides evidentiary support while giving opinions or recommendations to influence decision-making.
+ Conducts tasks in such a way as to build a strong reputation and credibility as an expert in the field.
**Preferred Qualifications:**
+ Master's or PhD in Data Science, Computer Science, or related field.
+ Experience with GenAI tools and ISO-compliant development practices
+ Familiarity with Caterpillar's A&A ecosystem and Solution Train delivery models
+ Familiarity with Caterpillar's IT ecosystem, security and organisation
**Additional Information:**
+ This position requires the successful candidate to be full-time in our Brisbane CBD office.
**Compensation & Benefits:**
Competitive salary based on degree and professional industry working experience. The Total Rewards package includes:
+ Competitive remuneration package
+ Attractive Bonus and Share options
+ Career development with global prospects
+ A strong commitment to safety and your wellbeing
+ An inclusive workplace culture focused on quality, customer service and the environment
+ A commitment to diversity and inclusion, equal opportunity, and equal outcome
+ SMART spending APP
+ The opportunity to do truly meaningful work in a supportive, constructive culture that encourages you to make the most of your talents.
Caterpillar of Australia is not currently hiring individuals for this position who now or in future require sponsorship for employment-based non-immigrant and immigrant visas. However, as a global company, Caterpillar offers many job opportunities outside of Australia which can be found through our employment website .
_Your road to success begins with a Caterpillar career. By joining the Caterpillar team, you'll discover that working for a global leader creates endless opportunities for you._
**Posting Dates:**
September 3, 2025 - September 11, 2025
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply? Join our Talent Community ( .

Senior Product Manager - Data Science Assets, Workforce Solutions
**About Pearson**
As the world's largest (listed on both London and NY stock exchange) learning company, Pearson has been contributing a profound impact on our world since its formation in 1844. Pearson employs more than 20,000, operates in 70 countries and delivers products and services in nearly 200 countries. We work toward a common purpose - helping people realize the life they imagine through learning. We do that by developing and providing high-quality, digital content and learning experiences, as well as assessments and qualifications, that help people build their skills and grow with the world around them. Unveil the boundless possibilities that await you. Learn more at pearsonplc.com.
**About Enterprise Learning & Skills**
Pearson's newly established Enterprise, Learning & Skills division is mandated to help enterprises drive productivity and growth by transforming how they evaluate, assess, and reskill their workforce, as well as delivering world-class vocational training and qualifications. The global talent market has never been more important than it is today, and Workforce Solutions, a key hub within the new ELS division, is well positioned to meet the needs of employers and employees who want to build a leading edge in the age of AI and a rapidly changing economy. Our offerings help employers understand labor market dynamics, how future proof their workforces at scale, and helping workers gain the skills they need to boost their employability and create new career prospects.
**About the Role**
The Senior Product Manager for our Data Science Assets will lead the delivery of our core data science and exploratory tools, ensuring that our unique IP and insights are approachable and actionable for our clients, enabling them to drive meaningful change and unlock new opportunities for their businesses.
To do this, you'll work across our Data Science & AI, Product and Engineering squads to ensure our teams are prioritizing and delivering innovative solutions to real-world customer problems. You'll be responsible for the delivery of our Data Science roadmap into production, identifying and mitigating risks, post-launch monitoring, and ensuring that our teams are releasing quality data.
While most of the team is based in Sydney, this role can be a remote AU position with the availability to flex across multiple time zones, as stakeholders' locations range from Australia, US, and the UK. As an organization with a global customer and employee footprint, some domestic and international travel may be required.
**Key Responsibilities:**
+ Develop and execute product strategies that align with the Workforce Solution business unit's vision and the broader ELS business objectives
+ Define our Data science product roadmap and technical requirements and help our data science team prioritize features based on customer feedback, market demand, and business goals.
+ Collaborate closely with Data Scientists and Engineers to define requirements, prioritize features, data pipeline improvements, testing, and deploying assets into production
+ Communicate with stakeholders, including business leaders, sales marketing, clients and our broader product development teams to present our data assets and provide updates on product development
+ Garner an understanding of compliance, legal, internationalization, accessibility, and other ongoing needs to ensure design and data science make the right CX trade-offs when needed.
+ Strengthen our product team by contributing to a culture of collaboration, innovation, and high performance.
**About You**
**Key Experiences & Skills:**
+ **Product Experience** : 6+ years of experience as a product manager, with at least 3 years as either a Technical PM or responsibility for delivering Data Science products, defining product roadmaps, prioritizing features, and working with cross-functional teams.
+ **Data Science Literacy:** a good understanding of data science and analytics. You'll be expected to be involved in deep conversations about different statistical methods, machine learning algorithms, data visualization and data infrastructure.
+ **Business Acumen:** ability to understand business goals and translate them into data science deliverables that can drive significant commercial returns. You will be able to communicate effectively with stakeholders and have a good understanding of market trends.
+ **B2B Product Expertise:** Experience in B2B products (with previous experience in HR Tech a significant plus).
+ **International Experience** : experience within a global organization, with an understanding of cultural nuances.
+ **Analytical Nature** : Ability to use data to make key decisions on tradeoffs on product initiatives. Skilled in analyzing and reporting on metrics and KPIs.
+ **Delivers Results** : Able to deliver technical product requirements and project plan, and then execute it, tempering enthusiasm for innovation with tactical prioritization of must-have features that customers require to have a frictionless experience.
+ **Collaborating and Influencing:** Negotiate with a genuine give-and-take approach, involving all stakeholders to shape a collective consensus. Build relationships that help achieve team objectives and lead cross-functional teams.
This position is open to candidates based in Melbourne or Sydney, Australia. Applicants must have current work rights in Australia to be considered.
**Who we are:**
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing
**Job:** Product Management
**Job Family:** PRODUCT MANAGEMENT
**Organization:** Enterprise Learning & Skills
**Schedule:** FULL_TIME
**Workplace Type:** Hybrid
**Req ID:** 18329
#LI-REMOTE

Description
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy cutting-edge solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
Responsibilities
* You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
* In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
* You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience with programming languages such as Python, Java, C+- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience researching, developing and implementing deep learning algorithms
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
- Strong publication record in top-tier peer-reviewed machine learning, natural language processing, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, ACL, KDD, AISTATS
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy cutting-edge solutions that directly benefit millions of Amazon customers worldwide. Whether you are developing next-generation recommender systems, exploring the frontiers of generative AI, or tackling novel scientific challenges, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and/or externally, contributing to advancing knowledge in the field of information retrieval and machine learning.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, electrical engineering, or related field
- Experience building machine learning models or developing algorithms for business application
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Overview

Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.

This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.

What You'll Do

• Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
• Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
• Design and run experiments using the latest ML tools and frameworks
• Develop automation tools to streamline research and system development
• Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
• Partner with engineering teams to implement and test models in production environments
  
  
  

What We're Looking For

We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.

• PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
• Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
• A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
• Strong programming skills in Python and/or C++
• Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
• Hands-on experience applying deep learning on time series data
• Strong foundation in mathematics, statistics, and algorithm design
• Excellent problem-solving skills with a creative, research-driven mindset
• Demonstrated ability to work collaboratively in team-oriented environments
• A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
  
  
  

Why Join Us?

• Collaborate with a world-class team of researchers, engineers, and traders
• Gain access to best-in-class financial data and high-performance computing resources
• Directly impact real-time trading performance through your work
• Thrive in a collaborative, intellectually rigorous environment with a global footprint
  
  
  

If you're a recruiting agency and want to partner with us, please reach out to . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

This position is no longer available.

University: Johns Hopkins University

Country: United States

Deadline: Not specified

Fields: Computer Science, Data Science, Bioinformatics, Computational Biology, Statistics

The Chitra Lab at the Department of Computer Science, Johns Hopkins University, with affiliation to the Data Science and AI Institute, is seeking highly motivated students and researchers to join our team. Our lab focuses on developing advanced machine learning and statistical methods for the analysis and interpretation of high-dimensional and multi-modal biological data. We aim to address fundamental problems in biology through novel AI algorithms.

Research Areas Of Interest Include

– Single-cell and spatial multi-omics

– Genetic perturbations

– Biological network analysis

– Anomaly detection in biological datasets

We invite applications from individuals interested in pursuing positions as postdoctoral researchers, PhD students, Master’s students, or undergraduate researchers. Applicants should have a strong background or interest in computer science, data science, bioinformatics, computational biology, or statistics.

For more information and application details, please visit our website: />
For inquiries, contact Dr. Uthsav Chitra at:

• Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: />
  

Also See

• PhD Opportunity in Symbolic AI and Reasoning Under Uncertainty at TU Delft
• Two Postdoctoral Positions in Biofabrication at the MERLN Institute, Maastricht University
• USA – Funded PhD & MS in Civil Engineering at Rochester Institute of Technology
• USA – Postdoctoral Research in Water Resources at University of Florida
• Europe – Postdoc in Mechanical Properties of Cemented Carbides at University of Luxembourg

**Job Description**
Oracle Health AI (OHAI) is at the forefront of transforming healthcare through advanced artificial intelligence and machine learning technologies. Our mission is to leverage Oracle's leading cloud infrastructure, data assets, and deep healthcare expertise to create intelligent solutions that improve patient outcomes, streamline clinical workflows, and empower healthcare organizations worldwide. By integrating generative AI with robust data platforms, OHAI is building next-generation products that enable smarter, faster, and more personalized healthcare experiences - for providers, payers, and patients alike. Join us on our journey to bring cutting-edge technology to some of the world's most meaningful and impactful challenges in healthcare.
**Qualifications and Experience** :
+ 3-5 or 5+ years of experience working as a machine learning engineer delivering products in real world applications.
+ Demonstrated experience in designing and implementing scalable ML solutions, frameworks and pipelines for production.
+ Demonstrated experience in architecture design, deployment/monitoring, API and service engineering, workflow and tooling development.
+ Demonstrated experience in leveraging LLMs (such as code assist) to accelerate the above development activities.
+ Good technical understanding of Large Language Model, Machine Learning / Deep Learning architectures like Transformers, training methods, and optimizers.
+ Proven experience in coaching teams on engineering practices and PR reviews.
+ Commitment to staying up to date with the field and applying latest technologies to solve complex business problems and bringing them into production.
**Preferred Qualifications:**
+ Knowledge of healthcare and experience delivering healthcare AI products are a significant plus.
+ Having referrable products delivered before is a significant plus.
**Education** :
+ Masters or bachelor's in computer science or related field with 3-5 or 5+ years relevant experience
**Responsibilities**
**Responsibilities** :
+ **AI Product Development:** Partner with product managers to translate business and healthcare requirements into actionable AI projects.
+ **Technical Leadership:** Collaborate with technical leaders and multinational AI teams to deliver high-impact features and services on schedule.
+ **Cross-Functional Collaboration:** Engage with both internal medical experts and customers to deeply understand healthcare contexts and inform AI solution development.
+ **Project Delivery:** Drive projects from concept to production, participating in planning, review, and retrospective meetings.
+ **System Architecture and Infrastructure** : Design and build scalable systems to support data processing, training, and deployment of generative AI models, while efficiently managing compute resources.
+ **Deployment and Monitoring** : Automate deployment of generative models to production and set up monitoring to track their performance, reliability, and operational health.
+ **API and Service Engineering** : Develop performant, secure APIs and services that enable seamless integration and scalable access to generative AI model capabilities.
+ **Development Workflow and Tooling** : Create tools and workflows that ensure experiment reproducibility, dataset management, and smooth collaboration throughout the model lifecycle.
+ **Software Engineering Best Practices** : Apply software engineering standards - such as modular code, testing, and documentation - to ensure maintainability and stability of ML systems.
+ **Hands-on Programming and Code Review** : Perform day to day programming task, deliver production quality codes, do PR reviews and set bars for PR review process, advocating for maintainability and robustness.
+ **Mentorship:** Lead and mentor both junior and senior applied scientists, fostering growth and technical excellence.
#LI-DNI
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Description
** Join Our Innovative Computer Vision Team at Amazon, Australia **
Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia.
As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources.
Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions.
#austechjobs
Key job responsibilities
- Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog
- Analyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance content
- Design, build, and evaluate generative AI models tailored to our business use cases
- Communicate clearly with business stakeholders to understand and align on requirements
- Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems
- Mentor interns and junior scientists
- Publish papers at Tier-1 CV/ML conferences
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Preferred Qualifications
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience using Unix/Linux
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.