Senior Applied Scientist - Xero
View Company Profile- Job Title
- Senior Applied Scientist
- Job Location
- Melbourne, AU
- Job Description
- Our PurposeAt Xero, we’re here to help supercharge small businesses. 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 teamThe 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
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Xero Company Size
Between 4,610 - 4,610 employees
Xero Founded Year
2006
Xero Total Amount Raised
$1,606,395,392
Xero Funding Rounds
View funding detailsPost Ipo Debt
$925,000,000 USD
Post Ipo Debt
$300,000,000 USD
Post Ipo Equity
$26,400,000 USD
Post Ipo Equity
$110,800,000 USD
Post Ipo Equity
$150,000,000 USD
Post Ipo Equity
$49,000,000 USD
Post Ipo Equity
$16,600,000 USD
IPO
$0
Post Ipo Equity
$3,000,000 USD
Post Ipo Equity
$13,595,300 USD
Post Ipo Equity
$12,000,000 USD