{"id":124516,"url":"https://alion.io/job/rea-group-software-engineer-machine-learning","title":"Software Engineer - Machine Learning","company":{"id":11737,"name":"REA Group","domain":"rea-group.com","url":"https://alion.io/company/rea-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sydney, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Keras","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"XGBoost","optional":false},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-22T00:56:14Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"Build innovative AI and machine learning products that shape how Australia experiences property.\nJoin a collaborative team where learning, experimentation and impact go hand in hand.\nPermanent role based in Sydney\nWe're REA\nWith bold and ambitious goals, REA Group is changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step - whether that's finding or financing your next home.\nOur people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we’re proud to have been named one of Australia’s Best Workplaces four times since 2021 - including third place in 2025 - plus Best Workplace for Women in 2023 and Best Workplace in Technology in 2024 and 2025. These listings are testament to every person who helps make REA a great place to work.\nWhere the team fits in\nPropTrack is Australia’s leading source of property insights, digital valuation solutions, and predictive analytics. This role sits within our Data Science & Analytics team, which is responsible for the development, deployment, and operations of internal and customer-facing statistical, machine learning, and AI models. The team collaborates closely with a wide range of groups across the business, including Core Property Data, Mortgage Solutions, Consumer AI, Consumer Product & Experience, Commercial and Mortgage Choice.\nWhat the role is all about\nDesign, code, test, and deploy machine learning pipelines using Python, SQL, Infrastructure as Code (IaC), AWS, and GCP. \nBuild innovative AI products using Generative AI, LLMs, and traditional machine learning techniques. \nPrototype and spike out Proofs of Concept (POCs) to explore new ideas and evaluate their feasibility in collaboration with senior engineers. \nSupport data processes - assist with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state our data. \nAnalyse and produce data coverage and quality statistics across internal and external data sets to provide a high level of awareness across multiple teams. \nFollowing agile software development practices such as test-driven development, continuous delivery and pair programming. \nSharing responsibility for all operational aspects of the software that we build, in support of our “you build it; you run it” philosophy where dev-ops is a part of everyday life. \nLearning -we are constantly learning together, mentoring each other and striving to do things better \nWho we’re looking for\nOur ideal candidate will have a mix of skills in the areas below. Don’t hesitate to apply even if you don’t tick every item:\nProgramming skills in languages such as SQL, Python, R, C#, or similar. While we’re happy for you to learn specific languages on the job, you must have the ability to code. \nA passion for: Machine Learning, Deep Learning / Generative AI, Time Series Analysis & Forecasting, Software Development \nIn-depth knowledge of the machine learning model lifecycle. \nExperience with key ML and hosting libraries, such as XGBoost, LightGBM, Scikit-learn, PyTorch, Keras, HF models, Transformers, FastAPI, or Flask. \nData handling skills, including cleaning, analysing, and interpreting large data sets, and an intuitive sense for identifying when the data is incorrect or inconsistent. \nBasic understanding of cloud service providers, like AWS, Azure, or Google Cloud Platform, including their core services, tools, and general applications in a business context. \nAbility to communicate and collaborate effectively with business stakeholders. \nBachelors in Computer Science, Mathematics, Statistics, or a similar discipline. \nThe REA experience\nThe physical, mental, emotional and financial health of our people is something we’ll never stop caring about. This is a place to learn and grow.\nSome of ourPerks & Benefitsinclude:\nA hybrid and flexible approach to working\nFlexible leave options including, birthday leave and purchase additional leave\nFlexible parental leave offering for primary and secondary carers\nOur Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity\nHackdays so you can bring your big ideas to life \nOur commitment to Diversity, Equity, and Inclusion\nWe are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more eﬀective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.\nJoin our Talent Neighbourhood\nKeen to be part of REA but didn't find a perfect match with this opportunity? Perhaps the timing isn't right? You should join our Talent Neighbourhood!","description_format":"text","description_chars":5059,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["PropTech","Real Estate Brokerage"],"lifecycle":[{"event":"open","at":"2026-08-26T00:00:00Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.448,"p_room":0.45,"age_days":57,"expected_fill_days":32,"reasons":["conf:5","velocity","win:tail"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/rea-group-software-engineer-machine-learning","json_url":"https://alion.io/job/rea-group-software-engineer-machine-learning.json","meta":{"generated_at":"2026-10-23T03:52:42Z","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":6353,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":11737},"rest":"https://alion.io/mcp/rest/get_company?id=11737"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frea-group-software-engineer-machine-learning"},{"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%2Frea-group-software-engineer-machine-learning"},{"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%2Frea-group-software-engineer-machine-learning"},{"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/rea-group-software-engineer-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frea-group-software-engineer-machine-learning"}]}