{"id":1830376,"url":"https://alion.io/job/silicon-quantum-computing-machine-learning-engineer-automated-calibration-services","title":"Machine Learning Engineer, Automated Calibration Services","company":{"id":50887,"name":"Silicon Quantum Computing","domain":"sqc.com","url":"https://alion.io/company/sqc","size_band":"11-50","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":"middle","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":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Git","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Dagster","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenCV","optional":true},{"name":"Prefect","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-08-20T04:31:20Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-12T23:16:47Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today.\nBacked by over 25 years of technological excellence, SQC is a full-stack quantum computing company that leverages its proprietary manufacturing process to engineer atomic qubits in silicon with 0.13 nanometer precision. It is the most precise semiconductor manufacturing in the world, enabling systems with world-leading algorithmic fidelity, and a decisive advantage in the global quantum computing race.\nOur products are commercially deployed and generating revenue. Watermelon, our quantum-enhanced AI system, is delivering superior results on real-world problems across energy, telecom and finance. Quantum Twins, our simulation platform, provides unparalleled ability to model quantum systems, accelerating molecule and materials discovery.\nThis is SQC: building the future of computing while delivering quantum impact today.\nAbout the role\nWe are hiring a Machine Learning Engineer into Automated Calibration Services, the team that keeps qubits inside spec while programs are running. Physicists design the calibration protocols; you will build the models that decide when they run, drive them from a schedule, a compiler request or a monitoring event, and establish afterwards whether they worked.\nThe open questions are inference problems: which qubit is about to drift out of spec, which routine recovers it fastest, whether an optimiser can replace a parameter sweep in a fraction of the device time, and whether a change in a measurement is a device defect or noise. Device time is scarce, so an unnecessary calibration costs program execution.\nModel output triggers a physical operation on a device. Each decision needs an uncertainty estimate, a fallback when confidence is low, and instrumentation to establish afterwards whether the qubit improved. Data is expensive, the process is non-stationary, and a model trained on last month's device may not hold.\nBased at our Sydney facility, you will work daily with the physicists who own the domain knowledge and the engineers who run the calibration stack. This is a role for someone who wants their models to drive real hardware, and who treats uncertainty quantification and validation as the substance of the work rather than an afterthought.\nRole responsibilities\nBuild models that predict qubit drift and device health, and turn those predictions into decisions about which routine runs and when\nReplace exhaustive parameter sweeps with sequential optimisation, using Bayesian optimisation, active learning or comparable methods, to reach the same tuning outcome in less device time\nApply computer vision and signal analysis to device measurement data where those methods outperform simpler alternatives\nBuild the feature and telemetry pipelines out of the calibration store that these models depend on\nQuantify uncertainty, so the orchestration can separate a high-confidence recommendation from a low-confidence one and act accordingly\nValidate models against held-out device data, including the case where the device has changed since training\nDeploy models into the calibration loop with monitoring, fallback paths and a kill switch\nDistinguish real drift and defects from measurement noise, and set the thresholds that trigger action\nWork with physicists to encode what they already know as priors and constraints rather than making the model learn it twice\nInstrument the loop so the effect of a model-driven calibration on qubit performance is measurable after the fact\nFeed device characterisation and noise models back to Compiler Services and Control & Error Correction\nDocument models, assumptions and failure modes, so an automated decision can be explained to the owner of the affected device\nYour experience\nEssential\n4+ years applying machine learning in production, ideally where the output drives a physical system\nStrong Python and the scientific stack: NumPy, SciPy, pandas, scikit-learn, and PyTorch or JAX\nSequential decision-making under expensive experiments: Bayesian optimisation, Gaussian processes, active learning or bandits\nTime series modelling, and anomaly or drift detection on real telemetry\nUncertainty quantification, and knowing what a calibrated confidence interval is worth\nValidating models where data is scarce, correlated and non-stationary, and recognising an implausibly strong result\nDeploying models into a loop with monitoring, alerting and a fallback path\nWorking with scientists on a problem where the domain knowledge is theirs and the automation is yours\nNumerical work: curve fitting, parameter estimation and optimisation\nGit workflow, code review and testing applied to research code\nClear technical writing\nNice to have\nComputer vision on instrument, microscopy or measurement data, with OpenCV or PyTorch\nReinforcement learning, or control policies learned rather than specified\nQubit calibration, tune-up or device characterisation, on any qubit modality\nControl theory and closed-loop feedback\nLaboratory instrument control: QCoDeS, Labber, pyvisa or SCPI\nMLflow or comparable experiment tracking, and reproducibility practice\nInference under a latency budget, including on edge hardware or FPGA\nWorkflow orchestration such as Airflow, Dagster, Prefect or Temporal\nQuantum computing exposure of any kind (no physics degree required)\nPublications, open source contributions, or an experimental automation project you are willing to talk through\nEqual opportunity\nSQC is an equal opportunity employer. We value diverse perspectives and experiences, and encourage applications from candidates who may not meet every listed requirement. If you’re excited about the role and believe you can contribute, we encourage you to apply.\nExport controls\nThis position may require access to export-controlled information or technology. Employment may be subject to applicable export control laws and may require eligibility assessment based on factors such as nationality, citizenship, or residency, and, where necessary, obtaining relevant export licenses or approvals.\nAbout SQC\nSQC was founded by renowned physicist and materials scientist Michelle Simmons, who pioneered the field of atomic electronics, including the development of the world’s first single-atom transistor and the first integrated circuit built with atomic precision. Our Chair, Simon Segars, former CEO of Arm, is a leader in the semiconductor industry and was instrumental in developing the processors that powered the mobile computing revolution.\nAs a full-stack company with in-house QPU manufacturing, SQC can design, produce and test new quantum chips in under a week, enabling rapid iteration and a decisive advantage in the race to build the world’s first commercial-scale quantum computer.\nSQC is a high-accountability environment built on a simple principle: Every Atom Counts. If you’re looking to play a meaningful role in building the next frontier of computing, we’d love to hear from you.","description_format":"text","description_chars":7099,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Quantum Computing Hardware"],"lifecycle":[{"event":"open","at":"2026-10-04T12:06:30Z"}],"visa":[],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.677,"p_room":0.55,"age_days":53,"expected_fill_days":48,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/silicon-quantum-computing-machine-learning-engineer-automated-calibration-services","json_url":"https://alion.io/job/silicon-quantum-computing-machine-learning-engineer-automated-calibration-services.json","meta":{"generated_at":"2026-10-12T23:47:26Z","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":39049,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":50887},"rest":"https://alion.io/mcp/rest/get_company?id=50887"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsilicon-quantum-computing-machine-learning-engineer-automated-calibration-services"},{"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%2Fsilicon-quantum-computing-machine-learning-engineer-automated-calibration-services"},{"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%2Fsilicon-quantum-computing-machine-learning-engineer-automated-calibration-services"},{"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/silicon-quantum-computing-machine-learning-engineer-automated-calibration-services\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsilicon-quantum-computing-machine-learning-engineer-automated-calibration-services"}]}