14 Data Mining jobs in Australia
Senior Product Manager - Data Science Assets
Posted 1 day ago
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**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.
1172848
**Job:** Product Management
**Job Family:** PRODUCT MANAGEMENT
**Organization:** Enterprise Learning & Skills
**Schedule:** FULL_TIME
**Workplace Type:** Hybrid
**Req ID:** 18329
#LI-REMOTE
AI Powered Data Science and Tooling & Ways of Working Lead
Posted today
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Job Description
== Commonwealth Bank ==
Role Seniority - senior
More about the AI Powered Data Science and Tooling & Ways of Working Lead role at Commonwealth Bank
You are a leader and change agent with a passion for empowering people to reach their potential
We are undergoing one of Australia’s largest digital transformations
Together we can reimagine banking for millions of customers
Please note that this is a 12-month maximum term opportunity
Do work that matters
As the AI Powered Data Science and Tooling & Ways of Working Lead, you will play a key role in developing & executing AI initiatives and strategies to uplift the capability of practitioners and leaders alike. You will be the driving force that will help build the AI Powered Data Science capability across the Group and work through various levels across the businesses to embed the knowledge required to deliver on our business and customer outcomes. Using your powerful combination of leadership and organisational abilities, you’ll foster a growth orientated culture of sharing, learning and problem solving across teams. You will define and execute the AI Powered Data Science and strategy that will uplift the capability of Data Science practitioners across the Group. Your leadership will drive the adoption of AI-powered tooling, foster a culture of learning and innovation, and embed AI knowledge into workflows to deliver meaningful business and customer outcomes.
See Yourself in Our Team
Our Technology team enables the Group’s strategy to build a brighter future for all. Technology is responsible for the Group’s information systems and data management, and is a key differentiator in delivering value to our customers and foundational services to the Australian economy. To deliver on strategic outcomes, Technology focuses on four pillars:
1. An organisation primed for delivery
2. A modern technology estate
3. World-class data and AI
4. Best-in-class security, resiliency, and reliability
This role directly contributes to the World-class Data and AI pillar, working closely with: - Group Data Science & Analytics Practice - CDAO Leadership Team - Data Science Leadership Teams across the Group - Centres of Excellence across the business
Key Responsibilities
Strategic Vision & Execution
Define and execute a roadmap for driving AI Powered Data Science and optimising the AI/Gen AI lifecycle across the Group.
Align initiatives with business priorities and transformation agendas.
Influence enterprise-wide forums (e.g. Integrated Delivery Lifecycle) as the representative of the AI Powered Data Science and Tooling & Ways of Working (TWOW) pillars.
Program Leadership
Own and lead the end-to-end delivery and impact measurement of the AI-Powered, Gen AI, Agentic, and DS Handbook initiatives. These programs are critical to the success of the Data Science Practice, driving capability uplift across the Group and underpinning the strategic goals of both the AI Powered Data Science and Tooling & Ways of Working (TWOW) pillars. Each program spans three verticals:
1. Tooling: Develop frameworks for assessing tools/platforms/vendors and identifying opportunities for DS workflows.
2. Skilling: Create immersive learning pathways to upskill Data Scientists and embed tooling into workflows.
3. Adoption & Community Engagement: Drive engagement, adoption, and knowledge sharing to shift hearts and minds toward AI-powered ways of working.
Execution of each stream is led by the AI Powered Data Science and TWOW Managers, while you provide strategic oversight, risk and dependency management, and ensure successful delivery.
Stakeholder Management
Partner with senior leaders across DS, Gen AI, MLOps, L&D, and external vendors.
Collaborate across the Group to deliver high-value, high-impact initiatives.
Influence and educate stakeholder groups to align on strategic goals.
People Leadership
Mentor and coach 1–2 Managers and Senior Managers.
Foster a growth-oriented, collaborative, and high-performing team culture.
Support team members in navigating complexity and driving innovation.
We’re interested in hearing from people who have
Proven ability to define and own capability uplift roadmaps across Data Science.
Experience leading transformational programs and high-performing Data Science/AI teams.
Strong stakeholder management and communication skills.
Ability to manage multiple initiatives concurrently to completion.
Critical thinking, sound judgment, and problem-solving skills.
Experience in risk management and compliance.
Passion for continuous improvement and leveraging metrics to drive excellence.
Tech & Leadership Skills
We use a broad range of tools, languages, and frameworks. While you don’t need to know them all, success in this role is supported by:
Leadership in transformational experiences and Data Science/AI capability uplift.
Strong relationship-building and influencing skills.
Deep understanding of AI/Gen AI tooling and lifecycle optimisation.
Familiarity with modern AI platforms and vendor ecosystems.
Working with Us
At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation Read more about our commitment to inclusion and diversity.
If you're already part of the Commonwealth Bank Group (including Bankwest), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
We’re committed to being an accessible employer and want to make finding your dream job as easy as possible. If you experience any accessibility issues or if you require additional support, please contact HR Direct.
We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
Advertising End Date: 20/07/2025
Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Commonwealth Bank team will be there to support your growth.
Please consider applying even if you don't meet 100% of what’s outlined
Key Responsibilities
- ️ Defining and executing AI strategy
- Leading program delivery
- Mentoring and coaching
Key Strengths
- Leadership
- Stakeholder management
- AI/Gen AI knowledge
- Critical thinking
- ️ Risk management
- Continuous improvement
Why Commonwealth Bank is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume.
A Final Note: This is a role with Commonwealth Bank not with Hatch.
Machine Learning Scientist, Amazon International Machine Learning
Posted 1 day 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 researcher
Posted 6 days ago
Job Viewed
Job Description
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.
Machine learning developer
Posted today
Job Viewed
Job Description
SYPAQ is an industry leader in C4ISREW and autonomous systems integration, product development, and consulting services, with established engineering teams across projects in Canberra, Melbourne, Adelaide, Sydney, and Brisbane. Our rich history of partnering with the Australian Defence and National Security community continues to deliver a true sovereign industrial capability through advanced engineering and technology services and solutions.
Our team of experienced technical staff are subject matter experts in the development and delivery of autonomous systems and complex technical projects. Due to rapid expansion within the business, SYPAQ requires a Machine Learning (ML) Developer to join our defence team based in Port Melbourne.
This position is an exciting opportunity to be involved in a leading machine-learning research project. This project will involve the development of sophisticated machine-learning based solutions for a series of operations research problems. This is a complex problem, involving multiple systems, functioning within a niche dynamic operating environment.
We are looking for a data scientist/analyst/engineer to join our small and innovative R&D team on a fast-paced collaborative project. The project will draw on your dynamic data analytics, machine learning and modelling skills. This project is in its infancy and presents an excellent opportunity to influence and shape the form and direction of future derivative products.
This would suit an individual who loves to undertake a range of diverse and challenging problems. You will need to work collaboratively within a small diverse team across simultaneous tasks with multiple stakeholders. You will utilise your knowledge of science, mathematics and computing combined with critical thinking to assist with the deep analysis of candidate solutions to understand their performance bounds. You will be involved in the preparation of reports, software and other deliverables to stakeholders.
Responsibilities
- Performing data synthesis, implementation of models and concepts for quick analysis and evaluation.
- Assist in the definition of problems, as part of the investigative process.
- Assist in the preparation of reports and insights to enable informative assessment of candidate machine learning solutions to stakeholders.
- Strong numerical and mathematical skills, especially in the area of statistics.
- Proven analytics techniques with a background in either Engineering, Physics, Applied Mathematics or Computer Science.
- Experience with Python or MATLAB. Experience in rapid prototyping and/or research environments.
- A strong interest to learn and develop new capability in an emerging field.
- Experience with Reinforcement Learning algorithms
- Experience with relevant Python data science libraries (e.g. Pytorch, Tensorflow, Scipy, scikit-learn, numpy, etc) or MATLAB toolboxes (e.g. Deep learning toolbox, Statistics and Machine Learning toolbox, etc)
- An understanding across the Machine Learning and/or Operations Research domains.
- A background in Defence or Electronic Warfare
- Engineering, Applied Science, Computer Science degree or equivalent.
- Australian Citizen
- The ability to achieve an Australian Defence Security Clearance
- Strong interpersonal skills
- Ability to work in a team or independently
- 1-3 years Machine Learning experience (desirable)
SYPAQ’s Culture
We take pride in being a 100% Australian family owned business delivering world leading solutions to our clients locally and internationally. Our culture and values are important to us, hence we encourage people with the same vision to discuss how we can jointly achieve your personal and professional goals as part of our team.
We strongly believe in our VALUES, they underpin everything we do:
- See something. Do something!
- Achieve more together – share success.
- Be Courageous – be innovative! See the opportunity, manage the risk.
- Strive for excellence – master your craft.
- We are family – we value honesty, respect, and compassion.
- Generous professional development and study options
- Loyalty leave scheme
- ADF reserve leave
- Flexible work arrangements
- Referral bonuses
- Salary sacrifice and novated leasing
QLD License: LHL02458-W2B3Z
VIC License: VICLHL03075
Machine Learning Scientist, Amazon
Posted 1 day 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 engineer data safety
Posted 5 days ago
Job Viewed
Job Description
Responsibilities
Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Build industry-leading content safety systems for TikTok;
- Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies;
- Understand product objectives and improve trust and safety strategy and model's performance;
- Work with cross-functional teams to protect TikTok globally.
Minimum Qualifications:
- Undergraduate, or Postgraduate who is currently pursuing a degree/master in computer science or a related technical discipline;
- Solid experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
- Experience in recommendation, search, advertising, or other related projects;
- Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc.;
- Competition experience in machine learning, data mining, CV, NLP, etc.;
- Good understanding of data structures and algorithms;
- Passion for techniques and solving challenging problems.
If you have any questions, please reach out to us at
Job Information
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Trust & Safety
TikTok recognises that keeping our platform safe for the TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining.
We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.
Acknowledgment of Country
In the spirit of reconciliation, TikTok acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
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Staff Research Scientist, Machine Learning Efficiency
Posted 1 day ago
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Job Description
Minimum qualifications:
+ PhD in Computer Science, a related technical field, or equivalent practical experience.
+ 4 years of experience with research agendas across multiple teams or projects in Machine Learning (ML) efficiency, optimization, or a related field.
+ Experience with programming languages (e.g., Python, C or C++).
+ Experience implementing, running, analyzing experimental models or transformer architecture.
+ One or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS).
Preferred qualifications:
+ Experience in innovative research.
+ Experience as a leader within a research team.
+ Knowledge of existing hardware capabilities and constraints.
+ Understanding of chip design.
+ Ability to navigate ambiguity.
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
In this role, you will lead our Machine Learning (ML) efficiency effort. You will work on next-generation large language models architecture, in partnership with hardware engineers and researchers. You will co-design high-performance models along with the next generation of ML accelerators (TPUs) that can power them.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
+ Generate, design ideas, leading a team for finding solutions through theoretical or empirical insights.
+ Design and implementing Machine Learning (ML) algorithms, running and analyzing experiments, incorporating components that could constitute part of a future Tensor Processing Unit (TPU).
+ Collaborate with research teams located across the globe.
+ Define long-term research agendas, intermediate milestones, and align with research and product partners.
+ Impact through publication and scientific dissemination.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Machine learning engineer and safety engineering
Posted 5 days ago
Job Viewed
Job Description
Responsibilities
Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.
Responsibilities
- Collaborate on research projects within the team or across countries
- Work with our world-class engineers to build industry-leading trust and safety systems for TikTok
- Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
- Improve our trust and safety strategy and work on model iterations
- Collaborate with cross-functional teams to protect TikTok globally
- Present research outcomes to internal and/or external audiences
- Work with engineering teams to apply technical achievements from our research to product prototyping.
- Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
Minimum Qualifications
- Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
- Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
- Firm understanding of data structures and algorithms
- Great communication and teamwork skills
- Passion about techniques and solving challenging problems
- Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
If you have any questions, please reach out to us at
Job Information
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Acknowledgment of Country
In the spirit of reconciliation, TikTok acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
Machine learning engineer and safety engineering
Posted 5 days ago
Job Viewed
Job Description
Responsibilities
Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.
Responsibilities
Responsibilities
- Work with our world-class engineers to build industry-leading trust and safety systems for TikTok
- Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
- Improve our trust and safety strategy and work on model iterations
- Collaborate with cross-functional teams to protect TikTok globally
Minimum Qualifications
- Currently pursuing your bachelors or completed within 1 year; Computer Science or related engineering field.
- Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
- Firm understanding of data structures and algorithms
- Great communication and teamwork skills
- Passion about techniques and solving challenging problems
- Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
- Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
If you have any questions, please reach out to us at
Job Information
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Acknowledgment of Country
In the spirit of reconciliation, TikTok acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.