Machine Learning Engineer US

Are you passionate about technology and working for a growing company in a fast-paced environment?
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.
After securing a Series A fundraising round, Unleash live is in an exciting expansion stage focused on the Australian and the US markets. People that are interested in travel and are flexible to work with our globally spread team are our best assets.
To be successful we are always looking for people that thrive in solving customer challenges, and are capable of developing technology that drives innovation.
This is a great opportunity for someone who wants to grow their career, gain experience in multiplebusiness units and likes access to the senior leadership team.
We have a young and dynamic, culturally diverse team that is based in Sydney, Poland and soon to be established in the US.
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.

What you will do

• 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

People that fit this role

• 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

What will help you succeed

• 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

Why you will enjoy working with us

• An exciting space - we are leading innovative and cutting edge AI technologies across the Cities and Infrastructure sectors to help make a real, positive impact on company workflows around the world.
• Flexible work - we believe in a hybrid work environment. Plenty of flexible work options are available with us.
• Grow your career with us – you'll be given a high degree of autonomy to make your mark in this role. Learning is gold and we believe you should never stop learning, we offer a personal budget for L&D spending and we happily promote training courses that will help you grow.
• Learn from the best - stay sharp by working with industry professionals who are passionate about what they do.
• Competitive remuneration – remuneration might not be everything but it is still important.
• We're a scale-up with a unique culture - we enjoy social events, collaborative team events and we take pride in the care of our team.
• Beautiful office space - located in the heart of Sydney's CBD at Barangaroo. (when you decide to come into the office)

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.
We are proud of our diverse cultural team and hybrid work environment. We believe building a team diverse in people, ideas and experiences allow individuals to perform at the highest level.