{"id":2348548,"url":"https://alion.io/job/10xlabs-data-ml-engineer","title":"Data / ML Engineer","company":{"id":4418504,"name":"10Xlabs","domain":"10xlabs.com.au","url":"https://alion.io/company/10xlabs-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"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":"Agentic Workflows","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-07-09T03:54:39Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-13T01:51:22Z","board_verified":true,"closed_at":null,"days_open":95,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":95},"description":"About 10x Labs\nWe wrap our arms around businesses and help them scale. We work with enterprises and fast-growing companies to implement AI strategy, workflow automation, and build custom software. Not as a vendor, but as a genuine partner with skin in the game.\nWe move at a pace most businesses have never experienced, and we hold ourselves to a standard most agencies can't match. We don't pitch solutions. We sit with our clients, understand where they're stuck, and build the systems that get them unstuck. Quickly and properly.\nThe work is the kind engineers actually want: agent-first platforms running national field operations at around 90% automation, electric vehicle operating systems for everything from cars to trucks and buses, AI making real operational decisions in regulated industries, and rescues of platforms other teams couldn't deliver. And for the right businesses we go further. We unlock them: we build new products we come up with together, and we bring in capital through equity or debt to fund the growth those initiatives create.\nOur founders have built energy flex markets, led transactions of billion-dollar businesses, and built software agencies that consistently deliver engineers in the top 3% globally. That pedigree shapes how we think, how we work, and what we expect from the people who join us.\nThe role\nOur models don't live in notebooks. They forecast energy production and demand, score decisions inside agentic workflows, detect faults in fleets of field devices, and drive dispatch choices with money and grid stability attached. When the model is wrong, someone notices by lunchtime.\nYou'll own the full loop: the data pipelines that feed the models, the models themselves (classical ML earns its keep here: random forests and gradient boosting alongside time-series methods), and the deployment, monitoring and retraining that keep them honest in production. You'll work close to the operational systems your outputs drive, not three teams away from them.\nWhat you will do\nBuild and run feature and data pipelines for training and inference on high-volume, time-series-heavy data\nDevelop, evaluate and tune models: forecasting, optimisation scoring, anomaly and fault detection\nDeploy models into production systems with proper versioning, monitoring and drift detection\nWork with our AI engineers to embed model-driven scoring inside agentic workflows\nValidate model behaviour against historical data and simulation before it touches operations\nExplain model decisions to clients and non-technical stakeholders in plain language\nWhat you bring - Required\nStrong Python and SQL across the full ML lifecycle: data prep, training, evaluation, deployment\nProduction ML experience: your models have run live, been monitored, drifted and been fixed\nDepth in classical ML (gradient boosting, random forests, regression) and knowing when it beats deep learning\nSerious time-series experience: forecasting, seasonality, late and messy data\nEngineering fundamentals: your pipelines are tested, versioned and reproducible\nStrongly preferred\nEnergy forecasting or optimisation experience (generation, demand, price)\nStreaming/event-driven data infrastructure (Kafka or similar)\nMLOps tooling: experiment tracking, model registries, automated retraining\nFlex market and energy systems experience is always a big bonus\nNice to have\nOptimisation methods (linear/mixed-integer programming) for dispatch-style problems\nLLM evaluation experience alongside classical ML\nWhy this role\nYour models will move real assets and real money in near real time, and you'll see the feedback loop close daily. Small senior team, no research theatre, and the rare setup where the person who builds the model also owns how it behaves in the wild.\nWhat you get\nA competitive package that reflects the calibre we hire at\nAccess to every AI tool on the market (as long as it has passed security) with team support and budget to get you set up and moving fast\nHard, interesting problems: real AI in production, real scale, real consequences. Not demos and decks\nDirect access to some of the most experienced operators in the country\nA team that will stretch you, back you, and make you better\nThe interview process\nOur process is straightforward and moves fast: a short video interview (we know engineers hate this - the only people who don't hate it are in sales - but it's an important and necessary step, and if you can't push outside your comfort zone, you're not going to fit in here), then a technical deep-dive on real problems, not puzzles, then a final conversation with the founders. We move quickly for the right person.","description_format":"text","description_chars":4642,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-12T13:16:01Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.222,"p_room":0.28,"age_days":95,"expected_fill_days":20,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-13T03:23:26Z"},"pay":null,"html_url":"https://alion.io/job/10xlabs-data-ml-engineer","json_url":"https://alion.io/job/10xlabs-data-ml-engineer.json","meta":{"generated_at":"2026-10-13T03:23:26Z","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":5284,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":4418504},"rest":"https://alion.io/mcp/rest/get_company?id=4418504"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2F10xlabs-data-ml-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%2F10xlabs-data-ml-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%2F10xlabs-data-ml-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/10xlabs-data-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2F10xlabs-data-ml-engineer"}]}