In-Demand Machine learning engineer Jobs in Parramatta, Nsw

PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
TikTok —Sydney NSW
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Senior Software Engineer - Australia
Neara —Sydney NSW
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News Corp —Sydney NSW
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave
7d
Senior AI Engineer
Karbon —Sydney NSW
- Azure
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Quick Apply
Machine Learning Engineer, Automated Calibration Services
Silicon Quantum Computing —Sydney NSW
- Machine learning
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Senior Software Engineer - Database Engineering
Snowflake —Barangaroo NSW
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Associate Systems Engineer
Amazon Support Services Pty Ltd —Sydney NSW
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Global Advisory & Markets, GSET FPGA Engineer, Associate / Vice President, Sydney
Goldman Sachs —Sydney NSW
- Full-time
- Computer science
- Computer Science
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- Travel reimbursement
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Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
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13d
Lead AI Engineer
Bridgit —Sydney NSW
- Remote
- Machine learning
- Construction experience
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5d
Staff Pre-sale Support Engineer
SentinelOne —Sydney NSW
- Remote
- Azure
- Computer Science
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Quick Apply
Senior Databricks Consulting Engineer
Ultra Tendency —Sydney NSW
- Remote
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Senior Azure Cloud Customer Experience Engineer - Japanese Speaking
Microsoft —Sydney NSW
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Artificial Intelligence - Architect
Infosys Singapore & Australia —Sydney NSW
- $800 - $950 a day
- Contract
- Hybrid work
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- Doctoral degree
- Computer Science
Quick Apply
Senior Process Engineer
Cochlear Ltd —Sydney NSW
- Full-time
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- Bachelor's degree
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Google Data Engineer - GCP
NCS Australia —Sydney NSW
- Full-time
- Hybrid work
- Parental leave
Quick Apply
Software Engineer - API
Nuix —Sydney NSW
- Hybrid work
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8d
Senior Engineer, ML Systems (AI Products)
Xero —Sydney NSW
- Full-time
- Hybrid work
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Staff Engineer
MongoDB —Sydney NSW
- On call
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PCI Electrical Engineer (Controls and Automation)
James Hardie —Rosehill NSW
- Full-time
- Microsoft Excel
- Analysis skills
- Electrical experience
- Parental leave
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Quick Apply
1d

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PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

TikTok -
Sydney NSW

Apply Now

Job Details

Graduate

Qualifications

Doctoral degree
Computer Science
Computer vision
Engineering
Data structures
Machine learning
Communication skills

Full Job Description

Algorithm

PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

Location
:

Sydney

Employment Type
:

Regular

Job Code
:

A09885

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

Qualifications

Minimum Qualifications
1. Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
2. Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
3. Firm understanding of data structures and algorithms
4. Great communication and teamwork skills

Preferred Qualifications
1. Passion about techniques and solving challenging problems
2. Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

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.

Apply Now

Refine Your Search

machine learning engineer jobs in parramatta, nsw

PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

Senior Software Engineer - Australia

Software Engineer - Machine Learning

Senior AI Engineer

Machine Learning Engineer, Automated Calibration Services

Senior Software Engineer - Database Engineering

Associate Systems Engineer

Global Advisory & Markets, GSET FPGA Engineer, Associate / Vice President, Sydney

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

Lead AI Engineer

Staff Pre-sale Support Engineer

Senior Databricks Consulting Engineer

Senior Azure Cloud Customer Experience Engineer - Japanese Speaking

Artificial Intelligence - Architect

Senior Process Engineer

Google Data Engineer - GCP

Software Engineer - API

Senior Engineer, ML Systems (AI Products)

Staff Engineer

PCI Electrical Engineer (Controls and Automation)

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