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 BringExperience: 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 OfferRemote-First & FlexibleWork from anywhere in Australia (core hours in Sydney timezone).
Balance async collaboration and real-time teamwork.Make an ImpactDrive 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 sessionsSeniority LevelMid-Senior levelEmployment TypeFull-timeJob FunctionEngineering and Information TechnologyIndustriesIT Services and IT Consulting
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