In-Demand Lecturer or senior lecturer, computer vision Jobs in Sydney, Nsw

Senior Machine Learning Engineer (AI & Computer Vision)
Nearmap —Barangaroo NSW
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Engineering
- Free food
Quick Apply
Lecturer – Engineering Management
Imperial Engineering Education —Sydney NSW
- $120,000 - $160,000 a year
- Full-time
- Doctoral degree
- Engineering
- Master's degree
Quick Apply
3d
Lecturer OR Senior Lecturer (Teaching and Research)
Macquarie University —Macquarie University NSW
- $127,138 - $178,523 a year
- Part-time
- Doctoral degree
- Research
- Teaching
Housing Specialist - NSW
Permalink Support Services —Sydney NSW
- $36.84 an hour
- Hybrid work
- Management
- Customer service
- Microsoft Office
- Work from home
- Employee assistance program
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Coding/Robotics Educator
Australian Academy of Robotics And STEM Education —Parramatta NSW
- Part-time
- CAD
- First Aid Certification
- In-person
- Professional development assistance
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1d
Senior Lecturer/Associate Professor in Migration Law
Australian Catholic University —North Sydney NSW
- $151,018 - $188,772 a year
- Full-time
- Leadership
B2B Campaign Manager
Unleash live —Barangaroo NSW
- $90,000 - $120,000 a year
- Full-time
- Hybrid work
- Sales
- Research
- AI
- Work from home
- Professional development assistance
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Senior Lecturer, Art Therapy
Western Sydney University —Parramatta NSW
- $147,138 - $169,011 a year
- Full-time
- Doctoral degree
- University
- Teaching
- Employee assistance program
1d
Product Manager - Video Analytics
Unleash live —Barangaroo NSW
- $110,000 - $140,000 a year
- Full-time
- Hybrid work
- No degree
- AI
- Travel reimbursement
- Work from home
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8d
Registered Nurse
SUMMIT HEALTH CARE PTY LTD —Canley Vale NSW
- $80,000 - $100,000 a year
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Senior Lecturer -Exercise and Sport Sciences
University of Sydney —Camperdown NSW
- $127,436 - $179,998 a year
- Full-time
- Doctoral degree
- Research
- Supervising experience
8d
Staff AI Engineer - Relevance AI
Relevance AI —Sydney NSW
- From $13,467 a month
- Full-time
- APIs
- In-person
- AI
- Health insurance
- Dental insurance
Quick Apply
Lecturer - Community Services
Acknowledge Education —Surry Hills NSW
- Full-time
- Senior Secondary Certificate of Education
- Education
- Bachelor's degree
Quick Apply
Lecturer/Senior Lecturer/Associate Professor to the School of History and Philosophy of Science
University of Sydney —Camperdown NSW
- $127,436 - $207,069 a year
- Full-time
- Doctoral degree
- Research
- Master's degree
Client Advisor - Ryde
Amplifon —Ryde NSW
- Full-time
- Microsoft Outlook
- Sales
- Databases
Quick Apply
Advanced Trainee
Northern Sydney Local Health District —Sydney NSW
- $117,745 - $147,664 a year
- Full-time
- Paediatrics
- Leadership
- Communication skills
9h
Leisure and Lifestyle Officer - Waverley
SUMMIT HEALTH CARE PTY LTD —Waverley NSW
- Customer service
- Organisational skills
- Computer skills
Quick Apply
Associate Lecturer (Education Focused), Asian Studies
University of Sydney —Camperdown NSW
- $93,424 - $125,896 a year
- Part-time
- Doctoral degree
- Administrative experience
- University
4d
Data Scientist (Search & Recommendation)
Binance —Sydney NSW
- Full-time
- Remote
- Doctoral degree
- Master's degree
- Machine learning
Quick Apply
2d
Lecturer - Construction
Acknowledge Education —Surry Hills NSW
- Part-time
- Doctoral degree
- Administrative experience
- Senior Secondary Certificate of Education
Quick Apply

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lecturer or senior lecturer, computer vision jobs near sydney, nsw

Senior Machine Learning Engineer (AI & Computer Vision)

Nearmap -
Barangaroo NSW

Quick Apply

Job Details

Full-time

Benefits

Free food

Qualifications

Doctoral degree
Computer Science
Computer vision
Engineering
Git
Master's degree
Bachelor's degree
Scalability
AI

Full Job Description

Company Description

Property intelligence is reshaping how the world understands the built environment, and Nearmap is driving that. We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it.

Job Description

The maps that planners, insurers, and governments rely on to understand the physical world don't update themselves — someone has to build the systems that turn raw aerial imagery into ground truth. That's this team.
This role is all about translating R&D from other parts of the Nearmap AI & Computer Vision team into data and ultimately, answers. You will be a core contributor to the algorithmic systems for creating conflated Map Data
products.

Conflation is the process of combining multiple data observations about the world into a single, cohesive map that prioritises usability, practicality, and a straightforward representation of real world objects. Input data sources include aerial imagery (multiple surveys over time, 2D, 3D, multi-angle, and captured by multiple providers), other geospatial sources such as property data, permit data or suitably licensed open data sets. A key challenge is to provide transparency of data provenance and accuracy, while abstracting away as much complexity as possible.

We design, build, and operate software systems that take petabytes of data to transform aerial imagery to insight. Our technology stack is based on the python scientific libraries and traverses machine vision deep learning technology such as Pytorch, and GIS tools such as GEOS, Shapely and GeoPandas/GeoPolars. We work mostly in python for speed of development and occasionally drop down to compiled libraries when we need to care about performance.

A typical day
You might spend a morning profiling a conflation pipeline that's producing unexpected artefacts near property boundaries, pair with a CV researcher in the afternoon to understand what their model's confidence scores actually mean for downstream data quality, then finish the day reviewing a colleague's PR on a new spatial indexing approach. Agentic coding tools like Claude Code are a normal part of how we work — not a novelty, but a practical accelerant for the kind of exploratory, iterative work this role involves.

Ways of working
This is a fully remote role, open to candidates located on the East Coast of Australia (Melbourne, Sydney, Brisbane). The team operates with daily stand- ups, close collaboration, and a culture of open communication — expect regular pair programming, drop-in calls, and genuine team involvement in your work.

Qualifications

We're after exceptional candidates, who have real world experience but are eager to learn.

Essential

Demonstrated 5+ year history working in a numerical field: e.g. applied maths, physical sciences, computer vision, geospatial analysis.
A demonstrated ability to produce high quality production numerical code with a focus on business outcomes.
Programming & tech environments: ability to code in scientific python, using a Linux environment, and git for source control.
Machine learning fundamentals: appreciation of core ML concepts including regularisation, hyperparameter optimisation, and validation methods.
Scientific approach: follow the scientific method of formulating hypotheses, and applying statistical tests to validate them.
Engineering approach: follow best practices in modern software engineering, applying them to build robust, scalable machine learning systems.
Strong approach to systems thinking, whilst remaining pragmatic.
Commitment to software engineering principles for scientific python, a keen eye for clean code, and a passion for robustness and correctness.

Highly desirable

Working with large data sets, where data doesn't fit into memory, and requires multiple nodes to compute efficiently.
A scientific mindset of formulating hypotheses, and applying statistical tests to validate them.
Working in a cloud-native environment using highly scalable compute.
Experience with operationalizing numerical applications and workflows.
Scale: working on machine learning problems applied to image and geospatial data.

Personal attributes

ML Engineering is a team sport; communicate well, share knowledge, and be open to taking on ideas from anyone in the team.
While extensive knowledge of theory and best practices are highly valued, pragmatism wins over elaborate theory when it comes to shipping products that work.

Tertiary qualifications

Formal education in a field related to numerical science (Bachelor's degree in computer science, engineering, statistics, physics, etc.). Applicants with a Masters/PhD will fit in well within the team, but are by no means necessary — we're more interested in what you can do!

Additional Information

In your application, include one sentence about a specific geospatial or numerical problem you've found genuinely interesting, bonus points if it relates to what you have learnt about Nearmap. This helps us understand how you think.

Some of our benefits

Nearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include:

Quarterly wellbeing day off - Four additional days off annually for your 'YOU' Days
Wellbeing and technology allowance
Annual flu vaccinations
Hybrid flexibility for this role
Nearmap subscription (of course!)
Stocked kitchen with access to all the snacks you need
In-office lunch every Tuesday and Thursday at our Sydney CBD office
Showers available for anyone cycling to work or lunchtime gym-goers!

Working at Nearmap

We move fast, we care about craft, and we're proud of what we're building. If you're energised by turning hard problems into real-world impact, we'd love to meet you.

If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch.

Read the product documentation for Nearmap AI:

https://docs.nearmap.com/display/ND/NEARMAP+AI

For a deep dive into Nearmap AI, listen to AI Systems Senior Director Mike Bewley on the Mapscaping podcast https://mapscaping.com/blogs/the-mapscaping-podcast/collecting-and-processing-aerial-imagery-at-scale

Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.

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Refine Your Search

lecturer or senior lecturer, computer vision jobs in sydney, nsw

Senior Machine Learning Engineer (AI & Computer Vision)

Lecturer – Engineering Management

Lecturer OR Senior Lecturer (Teaching and Research)

Housing Specialist - NSW

Coding/Robotics Educator

Senior Lecturer/Associate Professor in Migration Law

B2B Campaign Manager

Senior Lecturer, Art Therapy

Product Manager - Video Analytics

Registered Nurse

Senior Lecturer -Exercise and Sport Sciences

Staff AI Engineer - Relevance AI

Lecturer - Community Services

Lecturer/Senior Lecturer/Associate Professor to the School of History and Philosophy of Science

Client Advisor - Ryde

Advanced Trainee

Leisure and Lifestyle Officer - Waverley

Associate Lecturer (Education Focused), Asian Studies

Data Scientist (Search & Recommendation)

Lecturer - Construction

I want to receive the latest job alert for lecturer or senior lecturer, computer vision in sydney, nsw

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