Description

About the Company

Xailient’s breakthrough technology dramatically reduces the costs of using Computer Vision AI in real-world applications. By reducing cost, we are accelerating the next wave of technology; bringing AI to the Edge for smart sensors and devices.

We are on our way to installing our edge software on 50 Billion devices and we need your help!

Xailient is a revenue-producing, VC-funded start-up.

The Role in General

Xailient works with innovators and early adopter customers in the Edge computing space. We are seeking a Principal AI Engineer. This is a new role and we expect you to put your own imprint on it.

This is a technical leadership role in a small, growing company, and with a requirement for significant hands-on development involvement. Leadership responsibilities will span from day-to-day technical management to macro-scale technology and team strategy. The right candidate will be ready (eager) to roll up your sleeves.

As a Principal AI Engineer you will play a critical role in the development of computer vision AI solutions for deployment at the edge of Internet-of-things (IOT) networks. The Principal will lead in defining and driving solution development for a range of AI problems and guiding the business as a technical subject matter expert.

This is an AI Engineering role, not an AI Science role. You and the team will be responsible to produce a diversity of AI models addressing an array of customers’ practical needs. This will entail trade-offs between generalizability, accuracy, memory, speed, and other performance characteristics. You’ll be working with product and customer timelines and quality criteria. Welcome to the leading edge of AI!

We embrace diversity. Part-time or full-time candidates will be considered. We welcome candidates with family/life commitments and part-time availability, but “full-time professional passion”.

This role is remote and you are free to work from anywhere. The team is global and therefore early / late calls one or two times a week are common, for coordination / collaboration.

Candidates residing in Australia are required to have Australian citizenship, Permanent Residence or other long-term visa rights to work in Australia, and a nationality compatible with ADF procurement requirements.

Note: The start date for this position is Q1 2024.

Responsibilities
• Design and develop robust solutions using commercial and custom AI tools and machine learning models
• Perform research and testing to develop machine learning architectures, algorithms, and predictive models
• Provide subject matter expert input on business engagements and product roadmaps
• Stay current on the latest AI/ML technologies, trends, and strategies
• Conduct model training and evaluation
• Create/refine models in TensorFlow, TensorFlowLite, TensorFlow Lite for Microcontrollers, and/or PyTorch
• Integrate, test, tune, and improve AI solutions
• Review and approval of work performed by others
• Capability development across AI-related aspects of Xailient business/engineering/operations

Mandatory Requirements
• 7+ years of related experience
• Development of custom computer vision AI solutions with deep learning
• Experience with AI for embedded devices / IoT edge devices is highly regarded
• Masters degree in AI / Machine Learning / Computer Science or equivalent experience
• Demonstrate the ability to go deep technically on AI methodologies that are best suited to specific business and customer problems, as well as elevate your thinking to consider business and strategic implications.
• Proven track record in developing AI solutions from 'concept to deployment'
• Ability to work independently
• Experience mentoring, guiding, and leading other AI engineers
• Experience developing deep learning-based computer vision algorithms such as object detection, image segmentation, face recognition
• Experience with the MLOps processes, including lifecycle management and automation

Technical Skills
• Proficient with multiple AI tools such as Python, TensorFLow, Keras, PyTorch
• Demonstrated ability to articulate Al-specific challenges and identify gaps.
• Excellent communication, written and verbal skills, to articulate challenging technical concepts to both lay and expert audiences
• Strong fundamentals in mathematics, computer science, information theory, probability, especially linear algebra
• Experience with AWS highly regarded

Non-Technical Attributes
• Customer Focus - Desire to deliver products that delight
• Communication - Explain technical topics to lay audiences
• Team Builder - We’re growing!
• Dependability - Deliver on promises, provide status proactively
• Initiative - see a problem, solve a problem
• Care for Quality - Care about your work and take pride in doing a good job
• Flexibility - Excited to learn new things and work outside of comfort zone, comfortable with changing priorities of a startup environment
• Collaboration - Good ideas come from anywhere, great ideas come from collaboration
• Creative Problem Solver - turn abstract or vague ideas into actionable objectives
• Teamwork - No brilliant jerks, but weirdos welcome

Everyone’s time is valuable so please help by only applying for this role if you meet the Mandatory Requirements for this role - thank you.

Skills

• Learning
• Object Detection
• Edge Computing
• Keras
• MLOps
• AI Solutions
• Pattern Recognition
• Skill Development
• Diversity
• Facial Recognition

Educational Requirements

• Bachelors Degree