Senior Machine Learning Engineer (Face Analytics) – Xailient Inc. Join to apply for the Senior Machine Learning Engineer (Face Analytics) role at Xailient Inc.
We are seeking a Senior ML Engineer to design, build, test and optimise the core algorithms for our face analytics platform. You'll be a technical leader, translating cutting-edge computer vision research into high-performance, production-ready code. If you excel at solving complex CV problems and are fluent in both Python and C++, we want to hear from you.
What You Bring
Experience
5+ years in commercial software, with 3+ years specialising in Machine Learning or Computer Vision.
Algorithmic Expertise
Deep knowledge of CV algorithms (e.g., detection, segmentation, pose estimation), ideally applied to face analytics.
ML Fundamentals
Strong grasp of ML and deep learning principles. You know why models work, not just how to use them.
Code Fluency
Expertise in both Python and modern C++.
Production Tooling
Skilled with OpenCV, Docker, CMake and CI / CD.
Quality Focus
A strong believer in software rigour, including TDD. Use of tests to optimise algorithms and process.
Passion
A genuine enthusiasm for AI and building high-performance CV systems.
What We Offer Remote-First & Flexible
Work from anywhere in Australia (core hours in Sydney timezone).
Balance async collaboration and real-time teamwork.
Drive the design and architecture of the product. Have your say and be listened to.
Very few management layers and no BS : we always back the best technical solution.
Frequent team retros where you are listened to with concrete action plan to do better!
Share your passion with experts in production ML and high-performance C++.
Using LLM tools like Cursor or Claude Code is encouraged to do the programming labour for you while being mindful of producing slop.
Pair programming, knowledge sharing and design review sessions
Seniority Level Mid-Senior level
Employment Type Full time
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
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