Candidate fit35%76
JD evidence
Machine learning
Audio or signal data
Data lifecycle
Candidate proof
Documented ML project
Time-series portfolio evidence
Gaps
Experimentation
Apple · Herzliya
Audio Machine Learning Engineer
Audio ML role emphasizing signal data, experimentation and end-to-end data quality.
stretch76opportunity score
Verified openChecked 7 Sept 2026
Hard-constraint gateVerify before applying
- work authorizationIsrael work authorization
Sponsorship is not stated on the official posting.
Responsibilities
- Build audio ML models
- Improve data quality and experiments
Requirements
- Machine learning
- Audio or signal data
- Data lifecycle
- Experimentation
Compensation: not stated
The employer did not state compensation. No estimate is presented as official.
Explainable score · 2026-08-v1
Why this score?
76/100
Career upside20%84
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
Israel work authorization
Personal factors15%82
JD evidence
Candidate proof
English-working market preference
Gaps
None material
Source confidence 96%Explanation coverage 95%