In-Demand Lead machine learning engineer Jobs in Sydney, Nsw

Staff Data Scientist
Mutinex —Chippendale NSW
- Hybrid work
- Doctoral degree
- Writing skills
- Engineering
Quick Apply
UiPath Engineer (Agentic)
Cognizant —Sydney NSW
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
2d
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Computer Science
- Public speaking
- SQL
AI & Data Architect (Enterprise AI & Data Platforms)
Dipole Group —North Sydney NSW
- From $120,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
Quick Apply
7d
Snowflake Architect
Cognizant —Sydney NSW
- Full-time
- Hybrid work
- AWS
- AI
11d
Associate Director - AI Engineer
Deloitte —Sydney NSW
- Azure
- Computer Science
- DevOps
- Parental leave
Senior AI Product & Solution Lead
VECTON AI —Sydney NSW
- Part-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
- Travel reimbursement
- Parental leave
Quick Apply
10d
MLOps Engineer
Akuna Capital —Sydney NSW
- Full-time
- Computer Science
- Engineering
- Research
Senior AI Engineer
MYOB —Sydney NSW
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Parental leave
Senior Gemini Platform Engineer
Accenture —Sydney NSW
- Full-time
- Management
- ERP systems
- SQL
Gen AI Architect Google
NCS Australia —Sydney NSW
- Full-time
- Hybrid work
- Presentation skills
- Budgeting
- AI
- Parental leave
Quick Apply
Principal AI Engineer
Axsys —Sydney NSW
- Computer Science
- Master's degree
- AWS
- Parental leave
Senior Engineer, ML Systems (AI Products)
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Systems Engineer - Windows , Region Services
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Administrative experience
- AWS
- AI
AI Engineering Manager
Axsys —Sydney NSW
- Computer Science
- Master's degree
- AWS
- Parental leave
Senior Software Engineer, Golang
Checkbox Technology —Sydney NSW
- Full-time
- Hybrid work
- AWS
- Software development
- APIs
Quick Apply
Sales Engineer
Thought Machine —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Sales
- AWS
- Annual leave
Technical Business Analyst
Brighte Capital —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Data analysis skills
- SQL
5d
Senior Engineer - ML Systems (AI Products)
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- Research
- Master's degree
5d
Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
10d

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Staff Data Scientist

Mutinex
Chippendale NSW

Quick Apply

Job Details

Qualifications

Statistics
Data modelling
Doctoral degree
Writing skills
Engineering
Master's degree
Bachelor's degree
Machine learning
Software testing
AI

Full Job Description

About Us

Mutinex is a data and marketing analytics startup transforming the multi-trillion-dollar advertising industry by challenging the traditional consulting-based approach to Market Mix Modelling.

We are expanding our team and welcoming experienced talent to collaboratively build our globally used and transformative marketing measurement product suite - GrowthOS, DataOS, MAITE.

We empower marketers by helping them to understand the value of their past decisions and the impact of future marketing spend.

With offices in Sydney, Melbourne and New York City, we encourage you to work in the way that maximises your performance.

What’s the role?

We are looking for a Senior/Staff Data Scientist to help grow our uniquely positioned model stack.

With a special focus on model and data product development and marketing science, you will take charge of our models in finding ways to improve robustness and streamlining our parameter space. You will also support and lead the scalable and automated deployment of our models and data products for new customers.

As a fast growing startup, your work will help refine our data platform by refining its engine: our state-of-the-art marketing investment models. Improving our models and data products will directly contribute to our growth.

The mission of our data science team is to be the central nervous system of Mutinex.

Day to day

Automation of model operations, with a critical focus on quality and customer success.
Development of novel models and data products.
R&D POC work using contemporary developments in ML, AI, and statistics.
Writing: creating documentation for both data science and non-technical stakeholders; providing a data science lens on insights and outputs from the model, processes, and data products.

Required qualifications

Strong Python - deep knowledge of the standard library, canonical best practices, contemporary trends, and knowledge of multiple ML libraries.
Strong principles in software engineering.
Strong test-writing discipline.
Expertise in Bayesian Statistics.
Experience working with multivariate time series data.
Experience implementing statistical inference algorithms (e.g., particle-filters, variational inference).
Solid understanding of fundamental mathematics for statistics and machine learning - probability theory, linear algebra, and calculus.
Machine learning fundamentals.
Bachelors/Masters/PhD in statistics, data science, or comparable quantitative degree - e.g. Engineering, Science.

Why you should join us

We’re improving a multibillion dollar industry with product technology that is disrupting the status quo of consulting based approaches to marketing mix modelling. Although it’s early days, we’re well positioned to win. We’ve got brilliant people, a market leading product, and we are regularly closing household name customers on the strength of our product in the market.

As a technology driven data science company we recognise that excellence in engineering will provide an edge that allows us to move faster and build richer more innovative products. We’re putting our money where our mouth is, and investing substantially in the quality of our codebase and platform, and holding a high hiring bar for engineers in our teams.

You’ll also be joining a company that’s harnessing the artificial intelligence and data science wave that is currently rolling through the industry. Data is in our DNA, and we’re positioned to join disruptive companies like Snowflake, OpenAI, Fivetran, Amplitude, Segment, Monte Carlo that have garnered multi billion dollar valuations. As we grow there’ll be an opportunity to share in the wealth upside with equity part of your package.

The opportunity to work in a data science product company in Australia is not to be passed over lightly. We’d love to hear from you.

Quick Apply

Refine Your Search

lead machine learning engineer jobs in sydney, nsw

Staff Data Scientist

UiPath Engineer (Agentic)

Specialist SA, Developer Transformation

AI & Data Architect (Enterprise AI & Data Platforms)

Snowflake Architect

Associate Director - AI Engineer

Senior AI Product & Solution Lead

MLOps Engineer

Senior AI Engineer

Senior Gemini Platform Engineer

Gen AI Architect Google

Principal AI Engineer

Senior Engineer, ML Systems (AI Products)

Systems Engineer - Windows , Region Services

AI Engineering Manager

Senior Software Engineer, Golang

Sales Engineer

Technical Business Analyst

Senior Engineer - ML Systems (AI Products)

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

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