Candidate fit35%80
JD evidence
Applied science
Probability and linear algebra
Production Python and data pipelines
Candidate proof
Documented ML project
Time-series portfolio evidence
Gaps
LLM evaluation
Research-to-production delivery
Xero · Melbourne
Senior / Applied Scientist – AI Products
The official ATS refreshed this full-time applied-science opening on 23 September; it spans NLP, computer vision, LLMs and production deployment in a flexible hybrid model.
network first80opportunity score
Verified openChecked 28 Sept 2026
Hard-constraint gateVerify before applying
- work authorizationAustralia work rights or sponsorship
Confirm eligibility with the recruiter before extensive tailoring.
Responsibilities
- Lead applied research programs
- Deploy and monitor intelligent algorithms at scale
Requirements
- Applied science
- Probability and linear algebra
- Production Python and data pipelines
- LLM evaluation
- Research-to-production delivery
Compensation: not stated
The employer did not state compensation. No estimate is presented as official.
Explainable score · 2026-08-v1
Why this score?
80/100
Career upside20%88
JD evidence
Research-to-production scope
Candidate proof
Research-to-industry portfolio
Gaps
None material
Compensation10%70
JD evidence
Candidate proof
Gaps
Employer compensation not stated
Actionability20%72
JD evidence
Official source captured
Candidate proof
Targeted CV draft available
Gaps
Australia work rights or sponsorship
Personal factors15%82
JD evidence
Candidate proof
English-working market preference
Gaps
None material
Source confidence 96%Explanation coverage 95%