Senior Applied Scientist - Xero - Job details

Senior Applied Scientist at Xero

Data, Machine Learning & Artificial Intelligence, Permanent, Melbourne, AU melbourne full-time

Description

Posted 29 days ago

Our Purpose
At Xero, we’re here to help you supercharge your business. We do this by automating routine tasks, surfacing actionable insights and connecting businesses with the right data, advisors and apps. When that happens, we’re not only making life better for small business, we’ll be building a stronger economy that can change the world.

About the team

The AI Products group exists to collaboratively build products that use AI and ML to reduce toil and deliver the right insight at the right time. Working within the Data & Science team, you will join a diverse, globally distributed team of scientists, engineers, product managers, and analysts who help Xero turn data into beautiful, insightful products.

Applied Scientists work cross-functionally with engineers, product managers, and designers to apply AI and ML to deliver seamless product experiences that save time and provide insight – allowing our customers to focus on what matters most.

About the role

Lead the technical delivery of projects and design system architectures, collaborating with senior colleagues

Collaborating closely with ML engineers to manage the growth rate of technical debt and costs across our stack

Applying foundational ML methods and techniques to Xero's context

Sharing knowledge with colleagues and lifting the bar for the AI Products team

Working with teams across Xero to improve the quality and usability of data

Building Xero's profile in market through public facing content and events

About you

You have 3+ years of experience delivering ML and AI products at scale

You are drawn to solving hard problems

You are comfortable reading research papers and adapting them to problem at hand

You have first hand experience on why it's important to write high quality code from day one, not just when it's time to go to production

Constant learning and growth are an important part of who you are

What you'll bring with you

Ability to translate between the business and machine learning domains

Sound software engineering skills in Python, Scala, or similar

Hands on practitioner skills in one or more of: time series forecasting, natural language processing, classical machine learning, deep learning

Ability to grasp and teach the mathematical concepts that underpin the domains outlined above

Why Xero?
Offering very generous paid leave to use however you’d like (plus statutory holidays!), dedicated paid leave to care for your physical and mental wellbeing as well as an Employee Assistance Program to access mental health care for you and your family, health insurance, life insurance, and income protection, wellbeing and sports programmes, employee resource groups, 26 weeks of paid parental leave for primary caregivers, an Employee Share Plan, beautiful offices, flexible working, career development, and many other benefits that reflect our human value, you’ll do the best work of your life at Xero.

Our collaborative and inclusive culture is one we’re immensely proud of. We know that a diverse workforce is a strength that enables businesses, including ours, to better understand and serve customers, attract top talent and innovate successfully. We are a member of Pride in Diversity, in recognition of our inclusive workplace. Our goal is to make sure you feel welcome and supported to do the best work of your life.

At Xero we embrace diversity and inclusion and value a #challenge mindset. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single competency or experience . If you are excited about this role, but your past experience doesn't align perfectly, we encourage you to apply anyway. You could be just the right person for this role and Xero. If you have any support or access requirements, we encourage you to advise us at time of application and throughout the interview process.