13 Data Scientist jobs in Australia
Junior data scientist
Posted 17 days ago
Job Viewed
Job Description
Role Title: Junior Data Scientist
Employment Type: Temporary Full Time (up to 31 December 2025)
Position Classification: Health Manager Level 2
Remuneration: $109,857 - $29,624 plus Superannuation (12%)
Location: 1 Reserve Road, St Leonards NSW
Hours Per Week: 38
Requisition ID: REQ595159
Closing Date: 11:59pm Wednesday 13 August 2025
Join the State ODS Program in the System Performance Support Branch at Ministry of Health for an exciting temporary employment opportunity up to 31 December 2025 and be part of the team enriching health in millions of ways every day.
About Us
- We offer robust development and growth support to all our employees, ensuring you have the resources and opportunities to thrive in your career.
- Explore boundless potential in a dynamic environment.
- Join a passionate team dedicated to innovation and creativity.
About The Role
With your skills and experience, you can contribute to the millions of ways we’re enhancing health and wellness while developing your career as part of the largest health organisation in Australia.
The Junior Data Scientist is responsible for high quality data science and advanced analytics work which is the responsibility of the State Operational Data Store Program. This position will be expected to apply superior data science and statistical modelling techniques, tools and processes to the unique health data. You will be part of a multi-disciplinary team and be responsible for investigative analytics work, structured statistical model building and the associated data engineering pipeline and platform for key enterprise solutions on behalf of State ODS Program initiatives as commissioned by NSW Health.
The Health Manager level 2, starting salary from $1 9,857 - 129,624 plus Super and annual leave loading, with a 38-hour work week.
What You’ll Be Doing
- Complete advanced data analysis and data scientist related tasks for projects undertaken by the State ODS Program team.
- Review and develop machine learning based algorithms and where appropriate, tune or tweak the algorithms to ensure it is relevant, output is reproducible and reflects modern techniques.
- Perform algorithm validation including relevant documentation of test case and evidence of test execution outcomes
- Interpret output derived from algorithms generated and understand the assumptions applied during development of algorithms and the limitations.
- Providing output of the developed algorithms to the development team in a manner which allows for the deployment in an application production environment.
We are seeking a motivated and committed individual who can support the work of NSW Health with the following experience;
- Relevant tertiary qualifications and / or relevant experience in Data Science, Data Analytics, Actuarial, Mathematics, and Statistics. A history of openness and curiosity to explore new analytics techniques and data engineering principles and tools is essential.
- Experience (>1 years) with a range of analytics methodologies, ideally including predictive modelling (e.g. Generalised Linear Model regression, discriminant analysis, or similar)
- Experience (>1 years) in machine learning concepts and algorithms (e.g. supervised and unsupervised learning, regression, classification, clustering, and natural language processing (NLP), deep learning techniques, neural networks etc.) is desirable.
- Experience (>1 years) in the utilisation of SQL, Python, Jupyter Notebook and Panda/ Numpy/ SQLAlchemy/ Matplotlib Library
- Experience (>1 years) in data wrangling process and demonstrated competency in cleaning and organising complex dataset.
At The Ministry of Health, we want you to make the most of the opportunities you’ll get to grow your skills and your career, surrounded by authentic, smart people and leaders.
Please review the role description and submit your up-to-date resume (up to 5 pages) and cover letter (1-2 pages), explaining your interest and motivation in applying for this role and highlighting your relevant skills.
For role related queries or questions contact David Sze on (hiring manager details) and quote REQ595159.
If you do require any adjustments to the recruitment process during the recruitment process, please contact
Closing Date: 11:59pm Wednesday 13 August 2025
Need more information?
- Click here for the Position Description
- Find out more about applying for this position
Our commitment to Diversity and Inclusion
At the Ministry of Health, we are committed to creating a diverse, inclusive and flexible environment which reflects the community and customers we serve. We actively promote the employment of women, people with a disability, Aboriginal and Torres Strait Islander peoples, LGBTIQ+ community and people from culturally and linguistically diverse backgrounds.
If you identify as Aboriginal or Torres Strait Islander and would like assistance with your application or to obtain more information on how to apply, please visit The Stepping Up Initiative.
To be eligible for employment in these roles you must be an Australian citizen, or a permanent resident of Australia, or a New Zealand citizen with a current New Zealand Passport, or hold a valid visa with permission to work in Australia.
Additional Information
- This is a temporary role and there may be opportunities for ongoing employment at grade.
- This recruitment may be used to create a Talent Pool for similar future roles (ongoing or temporary) that may arise over the next 18 months.
- Please note the selection process will include a range of merit-based techniques to assist in determining your suitability for the role.
Applications Close: 11:59pm Wednesday 13 August 2025
Machine Learning Scientist, Amazon International Machine Learning
Posted 23 days ago
Job Viewed
Job 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.
Machine learning center
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: CISPA Helmholtz Center
Country: Germany
Deadline: September 10, 2025
The Rational Intelligence Lab at the CISPA Helmholtz Center for Information Security in Saarbrücken, Germany, invites applications for a postdoctoral position in Rational Machine Learning. This opportunity is open to researchers with a strong background in machine learning, statistics, economics, or related disciplines.
Requirements
– PhD in Computer Science, Statistics, Economics, Artificial Intelligence, Data Science, or a closely related field
– Interest and experience in areas such as causality, game theory, uncertainty quantification, large language models, generative AI, or recommender systems
– Demonstrated research excellence through publications or relevant projects
– Eligibility to apply for the Marie Skłodowska-Curie Postdoctoral Fellowship
Successful Candidates Will
– Work in a vibrant, international AI research environment
– Collaborate with leading institutions, including MPI, DFKI, and ELLIS
– Engage in interdisciplinary research and contribute to the advancement of rational machine learning
Application Procedure
– For detailed eligibility and application guidelines, please refer to the Marie Skłodowska-Curie Postdoctoral Fellowship: />
– For more information about the research group, visit: />
– Interested candidates may contact for further inquiries.
Application Deadline: September 10, 2025
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Machine learning researcher - group
Posted 14 days ago
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Job Description
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
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
- 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
Machine learning and physics university
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: University of Illinois Chicago
Country: United States
Deadline: Spring 2026
Fields: Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, Artificial Intelligence, Applied Physics
Applications are invited for PhD positions in the Computer Science Department at the University of Illinois Chicago (UIC), beginning Spring 2026, under the supervision of Dr. Yifan Zhou. The research focus is on developing foundational technologies that enable robots to understand and interact with their environment through proactive engagement, integrating physics modeling and machine learning, especially in low-data regimes.
Requirements
– Background in computer science, robotics, engineering, or related fields
– Interest in physics-based modeling, optimization, machine learning, and hardware design
– Motivation to work on interdisciplinary research combining visual-tactile perception and predictive modeling
– Ability to communicate research interests and academic background effectively
Application Process
Interested candidates should email Dr. Yifan Zhou at with a brief self-introduction and their most recent CV. Please begin your email subject line with (Prospective Student). Further information about Dr. Zhou’s research can be found at />
- Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: />
- USA – Fully Funded PhD in Robotics at University of Illinois Urbana-Champaign
- USA – PhD in Virtual Reality & HCI at University of Illinois Urbana-Champaign
- Graduate Student Position in Marine Microbial Ecology at NIU
- USA – Postdoc in Freight Transportation & AI at Purdue University
- USA – PhD in Machine Learning and Data Mining at University of Texas at Arlington
Opportunities machine learning and biological data
Posted 6 days ago
Job Viewed
Job Description
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:
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- 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
Opportunity machine learning and mechanics system
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: University of Nevada, Reno
Country: United States
Deadline: Not specified
Fields: Computational Mechanics, Structural Engineering, Earthquake Engineering, Civil Engineering, Applied Mathematics
The research group led by Dr. Elnaz Seylabi at the University of Nevada, Reno invites applications for a fully funded Ph.D. position beginning in Fall 2025. This opportunity is supported by the National Science Foundation (NSF) and focuses on the development of physics-informed machine learning frameworks for surrogate modeling of geostructural systems.
Requirements
– Master’s degree in Computational Mechanics, Earthquake/Structural Engineering, or a related discipline
– Experience with finite element modeling and scientific machine learning
– Strong analytical skills and a demonstrated curiosity for innovative research at the intersection of mechanics and artificial intelligence
Interested candidates are encouraged to contact Dr. Seylabi directly at , submitting a CV and unofficial transcripts for consideration.
For further details about the NSF-supported project, please visit: />
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- Multiple PhD Opportunities in Earthquake & Structural Engineering at University of Nevada, Reno
- PhD and Postdoc Opportunities in Structural Mechanics at University of Nevada, Reno
- USA – PhD in Computer Science at University of Nevada, Reno
- Canada – PhD/Postdoc in Numerical Optimization at Polytechnique Montréal
- Postdoctoral Opportunity in In-Silico Clinical Trials for Cardiovascular Engineering at RWTH…
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Machine Learning Engineer - Senior / Principal/ Senior Principal
Posted 10 days ago
Job Viewed
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.
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 +1 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.
Senior / Principal/ Senior Principal Machine Learning Engineer
Posted 15 days ago
Job Viewed
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 +1 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.
Computer Vision Scientist , International Machine Learning, Australia
Posted 23 days ago
Job Viewed
Job 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.