In-Demand Software engineer machine Jobs in Parramatta, Nsw

Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)
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AGS LLC —Macquarie Park NSW
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Freelancer.com —Sydney NSW
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Smiths Detection —Sydney NSW
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Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)

TikTok -
Sydney NSW

Apply Now

Job Details

Graduate

Qualifications

Data mining
Doctoral degree
Computer Science
Computer vision
Engineering
Data structures
Master's degree
Bachelor's degree
Machine learning
Communication skills

Full Job Description

Algorithm

Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)

Location
:

Sydney

Employment Type
:

Regular

Job Code
:

A61654

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 our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.

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 our Company 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

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

Qualifications

Minimum Qualifications:

Individuals who are completing or have recently completed a Bachelor’s/Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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

Preferred Qualifications:

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.

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

software engineer machine jobs in parramatta, nsw

Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)

Software Engineer - API

Field Service Engineer

AWS Consultant - AWS Connect - CX

Forward Deployed Engineer

Group Product Manager, Information and Infrastructure Protection

Staff Software Engineer – Create, Grow - Growth

CNC Setter / Programmer Mazak

Electrical Engineer

Sales & Delivery Operations Business Partner

Artist (Part-time Maternity Leave Cover)

Software Engineer - Machine Learning

Senior Full Stack Software Engineer

Software Engineer - Machine Learning

Software Engineering Team Lead

Senior Software Engineer (compiler focused)

Senior Data Platforms Engineer

Senior Software Engineer II

Software Engineer (AI and Platform)

Field Service Engineer L2

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