{"id":64160,"url":"https://alion.io/job/xyz-reality-ai-platform-machine-learning-engineer","title":"AI Platform & Machine Learning Engineer","company":{"id":4360,"name":"XYZ Reality","domain":"xyzreality.com","url":"https://alion.io/company/xyz-reality","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":6,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Calgary, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":132000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Federated Learning","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"ONNX","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorRT","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-08-19T13:38:07Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-17T11:50:13Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"Help build the AI platform powering the future of construction\nAt XYZ Reality, we’ve created the world’s first engineering-grade Augmented Reality solution for construction. Our technology is already being used on major construction projects around the world to help teams build more accurately, efficiently and with fewer mistakes.\nNow, we’re taking that technology even further.\nWe’re developing the next generation of wearable AI systems, combining computer vision, localisation, BIM understanding, semantic reasoning and augmented reality to create a Construction Intelligence platform capable of understanding what has been built, where it has been built and whether it has been installed correctly.\nAs a Series B business entering our next phase of growth, we’re investing further in our R&D capability and building out a new technology hub in Calgary, Canada.\nWe’re looking for an AI Platform & Machine Learning Engineer to join us and help build the infrastructure that will power the next generation of our AI products.\nThe Role\nThis is an exciting opportunity for a Machine Learning Engineer who wants to work at the point where AI research meets real-world production engineering.\nYou’ll work on the systems that enable our AI models to move from research and experimentation into scalable, production-ready technology, building the infrastructure for dataset management, model training and retraining, experiment tracking, continual learning, deployment and monitoring.\nA key part of the role will be understanding the complete AI lifecycle: from acquiring and labelling data through to training models, evaluating their performance and ultimately deploying them into production.\nWorking closely with our Computer Vision, Navigation, Embedded Software and Cloud Engineering teams, you’ll help ensure our AI models can be trained, evaluated, deployed and continually improved throughout the product lifecycle.\nThis is an exciting time to join! You’ll have the opportunity to work alongside deep technical expertise while having a genuine influence on how our AI platform evolves as we scale.\nThis isn’t AI for AI’s sake. The technology you build will ultimately support wearable systems being used in real-world construction environments, solving complex problems and changing how some of the world’s largest projects are delivered.\nWhat You’ll Be Doing\nDesign and build scalable infrastructure for training and deploying machine learning models.\n\nDevelop distributed training pipelines and reproducible training environments.\n\nBuild experiment tracking, model versioning and model registry capabilities.\n\nDevelop automated benchmarking and model validation pipelines.\n\nBuild large-scale dataset ingestion, management and validation workflows.\n\nDevelop annotation and labelling workflows to support high-quality AI training data.\n\nExplore synthetic data generation where appropriate.\n\nDesign and improve CI/CD pipelines for machine learning.\n\nMonitor deployed model performance and support automated retraining.\n\nDevelop continual learning pipelines and explore techniques including PEFT and LoRA.\n\nSupport federated learning and improve model lifecycle management.\n\nDeploy AI models across cloud services and embedded NVIDIA platforms.\n\nOptimise inference infrastructure and build scalable APIs supporting AI services.\n\nWork closely with AI, Computer Vision, Navigation, Embedded and Cloud teams to turn research into production-quality systems.\n\nContribute to technical architecture decisions, engineering standards and automation across the wider R&D team.\n\nWhat We’re Looking For\nMinimum of 3-5 years’ experience in Machine Learning Engineering or a closely related role.\n\nDegree in Computer Science, Artificial Intelligence, Software Engineering or a related discipline; Master’s level or above is preferred.\n\nStrong Python development skills and hands-on experience with PyTorch.\n\nPractical experience training and retraining machine learning models, we’re looking for someone who understands what happens beyond simply consuming existing AI models.\n\nExperience building and maintaining production ML pipelines.\n\nStrong understanding of the end-to-end ML lifecycle, from acquiring and preparing data through to training, evaluation, deployment and monitoring.\n\nExperience with computer vision and modern AI/model architectures.\n\nExperience with Docker, Kubernetes and CI/CD.\n\nExperience deploying machine learning models within cloud environments.\n\nStrong software engineering fundamentals and an understanding of how to build reliable, maintainable production systems.\n\nComfortable working in a fast-moving area where technologies and approaches continue to evolve rapidly.\n\nExperience with technologies such as MLflow, Weights & Biases, Ray, Kubeflow, Airflow, LoRA, PEFT, NVIDIA Jetson, CUDA, TensorRT or ONNX would be highly valuable, as would experience with AWS, Azure or GCP and large-scale dataset management.\nYou don’t need to have worked with every technology on the list. We’re particularly interested in people who can demonstrate strong ML engineering fundamentals, genuine hands-on experience and the ability to learn and adapt as the technology evolves.\nAbove all, we’re looking for someone who is curious, collaborative and excited by solving difficult technical problems - someone who wants to help turn cutting-edge AI research into technology that works in the real world.\nWhat You Could Be Working On\nFrom the outset, you’ll have the opportunity to contribute to high-priority projects including:\nAI training infrastructure\n\nContinual learning platform\n\nModel registry and experiment tracking\n\nAutomated benchmarking frameworks\n\nCloud-to-edge deployment pipelines\n\nEmbedded AI deployment\n\nWearable Construction Intelligence technology\n\nWhy Join Us\nWork at the intersection of AI, Computer Vision, AR and real-world engineering\n\nHelp build production AI systems tackling genuinely complex technical problems\n\nSee your work applied to some of the world’s most ambitious construction projects\n\nJoin a Series B business at an exciting stage of international growth\n\nWork alongside specialists across AI, Computer Vision, Navigation and Embedded Engineering\n\nHave meaningful input into the architecture and evolution of our next-generation AI platform\n\nBuild technology with real-world, global impact\n\nIf you’re excited by the challenge of taking machine learning from experimentation through to scalable production, and want to help build the AI infrastructure behind the future of construction, we’d love to hear from you.","description_format":"text","description_chars":6556,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AR & VR Software","Construction","Construction Management Software"],"lifecycle":[{"event":"open","at":"2026-08-19T13:38:07Z"}],"visa":[],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.616,"p_room":0.55,"age_days":58,"expected_fill_days":49,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/xyz-reality-ai-platform-machine-learning-engineer","json_url":"https://alion.io/job/xyz-reality-ai-platform-machine-learning-engineer.json","meta":{"generated_at":"2026-10-17T12:19:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16338,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4360},"rest":"https://alion.io/mcp/rest/get_company?id=4360"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fxyz-reality-ai-platform-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fxyz-reality-ai-platform-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fxyz-reality-ai-platform-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/xyz-reality-ai-platform-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fxyz-reality-ai-platform-machine-learning-engineer"}]}