Job description
Unleash live is a world-leading A.I. video analytics platform, helping our customers in the infrastructure, renewables and cities & transport spaces take vision from any camera and combine it with A.I. to deliver actionable insights in real-time.
We believe that vision is the most powerful sense for making better decisions.
We enable intelligent remote vision for enterprises.
Our team has created a revolutionary platform for the collection, storage and distribution of data from live camera devices, autonomous vehicles such as drones, and IoT sensors.
Our cloud-based product is changing the way people interact with networked devices in the field - driving down maintenance costs for wind turbines, solar farms and power lines, improving productivity and accuracy of data for transport and city planning, and improving safety for emergency response and crowd management.
We’re a passionate and driven team that combines software and device engineering, computer vision and product design to create simple, beautiful experiences that solve critical pain points for our customers.
Find out more about our Company and our values
We are looking for an enthusiastic and talented machine learning engineer to join our close-knit, friendly AI team and optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis and retraining the models to resolve customer needs
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
This position is focused on designing, training, implementing and maintaining various conventional and deep learning models using best practices and new technologies while also being tasked with edge device integration for hybrid A.I. solutions. All of this ability comes together to ensure Unleash live customers have an optimal and insightful experience when they use our platform.
Responsibilities
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models
Transforming data science prototypes and applying appropriate ML algorithms and tools
Test and implement state-of-the-art deep learning architectures into the Unleash live core engine
Optimise the deployed models, libraries and frameworks to be run in real-time environments on live stream video
Ensuring that algorithms generate accurate user recommendations
Deploying and maintain models in cloud based infrastructure such as AWS
Running tests, performing statistical analysis, benchmarking, and interpreting test results
Consulting with managers to determine and refine machine learning objectives
Documenting machine learning processes
Keeping abreast of developments in machine learning
Attributes
Passion for cutting edge computer vision/machine learning technologies and product delivery
Desire to solve customer problems and technical requirements
High levels of personal commitment and accountability
Results-oriented and a bias for action
Attention to detail and dedication to quality
Ability to work independently and cross-functionally with other members of the team
Ability to communicate both good news and bad with urgency
A learning and growth mindset
Savvy, with a love of problem-solving and the ability to think outside the box
Demonstrate the Core unleash Values: Passion, Commitment, Respect & Courage
Experience - Eduction and work experience
Bachelor's, Master’s or PHD in computer science or similar, alternatively a comparable industry career with a proven track record of successful projects
3+ years of experience as a machine learning engineer
Advanced proficiency with Python code writing
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms
Comfortable working in a fast paced deployment centric environment exploring the unknown
Right to work in Australia
Preferred
Proficiency with a deep learning framework such as Pytorch, Tensorflow or ONNX
Experience deploying AI models on cloud and edge infrastructure
Expertise in visualizing and manipulating big datasets
Familiarity with Linux
Our team is located across several continents with offices in the USA, Australia, and Europe. We work in an agile mode, on location and remote fashion supporting each other with a heavy bias towards open communication and high quality outcomes.
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