Senior Machine Learning Engineer (Face Analytics) at Xailient Inc.
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Computer Vision, Python, C++, OpenCV, Docker, CMake, CI/CD, TDD, Deep Learning, Face Analytics, Algorithm Design, Segmentation, Pose Estimation, Detection

Industry

IT Services and IT Consulting

Description
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. School run or surf run midday? You do you! Make an Impact 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. Fun & Collaborative Culture 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
Responsibilities
Design, build, test, and optimize core algorithms for the face analytics platform. Translate cutting-edge computer vision research into high-performance, production-ready code.
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