Time since we first saw it
Day 159
Up longer than most. Similar jobs usually come down between day 7 and day 72.
From 4,629 similar postings that came down. Coming down is not always a hire.
Senior Machine Learning Engineer - Australia
Sydney · Melbourne · Sydney, NSW, Australia
Open 5 months, first seen by us 159 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering › Machine Learning — team source
Department: Engineering › Machine Learning
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
Please note that you will require current and unrestricted working rights to be considered for the role
What you’ll work on
Full postingBuild ML models that digitise real-world infrastructure from LiDAR, imagery and vector data
Own ML work across the lifecycle, from data collection and QA to training and monitoring
Develop and optimise training pipelines and scale model serving
Generate accurate electric networks from imperfect data using deep and classical ML
Mentor junior engineers in model training and software engineering practice
From the employer’s posting
create machine learning models that drive the digitisation of real-world infrastructure from a variety of data sources such as LIDAR, imagery, and vector data sources
Working at every stage of the ML lifecycle, from data collection and QA to training to model monitoring
Developing and optimising training pipelines to reduce toil and idea-to-evaluation time.
Developing approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms
Mentoring other engineers in best practices for model training and software engineering.
What you’ll bring
All qualificationsCore experience
- Demonstrated experience with machine learning and deep learning
- Strong foundation in software engineering
- Proficiency in PyTorch, TensorFlow or JAX
- Current and unrestricted working rights in Australia
- Ability to own problems and work asynchronously on ill-defined problems
Qualification wording
Demonstrated experience with Machine Learning and Deep Learning
Strong foundation in software engineering
Proficiency in frameworks like PyTorch/Tensorflow/Jax
you will require current and unrestricted working rights to be considered for the role
Ability to work effectively asynchronously and cross-functionally on ill-defined problems.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 159 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026159 days ago
- Recorded sightings
- 83
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Neara is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 33% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- PyTorch
- TensorFlow
Where the posting names them
- Strong foundation in software engineering - Proficiency in frameworks like PyTorch/Tensorflow/Jax - Excellent problem-solving skills as applied to new domains.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
As a Senior Machine Learning Engineer, you will create machine learning models that drive the digitisation of real-world infrastructure from a variety of data sources such as LIDAR, imagery, and vector data sources. Working at every stage of the ML lifecycle, from data collection and QA to training to model monitoring, you’ll dive deep into the data, decide which problems are worth solving with ML and define the ML strategy for said problems.
This will involve staying updated with best practices in data handling, MLOps, as well as the latest advancements in machine learning to integrate new techniques into our platform, ensuring it remains at the cutting edge of the industry. You will also provide mentorship to junior engineers, fostering a collaborative and innovative work environment that encourages continuous learning and growth.
At Neara, you will be part of a team that values your ideas, supports your development, and celebrates your successes. If you are motivated and results-driven, we’d like to meet you.
Some of the things you will contribute to:
Developing approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms
Developing and optimising training pipelines to reduce toil and idea-to-evaluation time.
Scaling the serving of models for different problems with different characteristics while reducing the time from the first model to production.
Improving the speed of model QA and identifying data and distribution drift in the models.
Working with a variety of data sources, including LiDAR, aerial photography, photogrammetry & GIS, and building scalable data pipelines to support training and serving.
Mentoring other engineers in best practices for model training and software engineering.
Some attributes we highly regard:
Demonstrated experience with Machine Learning and Deep Learning
Strong foundation in software engineering
Proficiency in frameworks like PyTorch/Tensorflow/Jax
Excellent problem-solving skills as applied to new domains.
Ability to work effectively asynchronously and cross-functionally on ill-defined problems.
Ability to own problems and proactively approach challenges
Some of the benefits we have on offer:
Competitive salary
Meaningful ESOP
Fully Flexible Work Environment. We have a fully stocked office (and an impressive snack collection) in Redfern.
Regular office events
The real benefit is working on a genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us
To apply, please use the online application link below. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply.
Please note that you will require current and unrestricted working rights to be considered for the role. Unfortunately, we are not in a position to offer visa sponsorship at this time.
No agencies or third-party service providers, please.
#LI-AP1
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sydney, NSW, Australia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
To apply, please use the online application link below. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply. Please note that you will require current and unrestricted working rights to be considered for the role. Unfortunately, we are not in a position to offer visa sponsorship at this time. No agencies or third-party service providers, please. #LI-AP1