Silicon Quantum Computing | Senior Machine Learning Specialist
vor 3 Wochen
Engineering - Software (Information & Communication Technology)
Full time
We are seeking a highly skilled Senior Machine Learning Specialist who can build the right model for the right job.
This role requires a strong background in understanding use-case requirements, developing tailored machine learning models, and delivering outcome-driven solutions.
About the company Silicon Quantum Computing (SQC) is a leader in the global quantum computing industry.
Our mission is to build the world's first precision, high-quality full-scale quantum computer unlocking transformative solutions to real-world challenges.
Quantum computing promises to revolutionise how information is processed and understood.
It will enable the creation of faster, more efficient computers that will transform into the world's most powerful artificial intelligence machines.
SQC's vision is to harness this groundbreaking technology to improve human life and drive transformative change worldwide.
About the role The Senior Machine Learning Specialist works with world-leading atomic electronics and quantum computing teams at SQC based at UNSW Sydney.
This role designs and develops machine learning models to support classification and inference tasks that use a quantum computer in real client use-cases.
The Specialist will work with ML experts both internally and client organisations to develop and implement the best models for decisioning across finance, networking, and more.
The Specialist works alongside quantum physicists, hardware engineers, and software engineers to translate business requirements into technical solutions that will harness SQC's globally unique quantum computer processors, thus adding value to end-users' existing ML workflows.
This position reports to the Head of Software Engineering and works alongside other staff and students funded and employed by SQC.
While this role does not have any direct reports, it is expected that they will assist where necessary with the supervision of other team members.
Key responsibilities Drive the development and implementation of machine learning models from inception to deployment, focusing on solving complex problems.
Collaborate closely with internal and end user ML experts across various domains, helping to integrate our ML models with theirs and/or advising them on how to improve their approach.
Define clear problem statements and translate business requirements into technical solutions.
Utilise advanced machine learning techniques and algorithms to extract insights and drive decision-making processes.
Work closely with quantum physicists and researchers to identify, quantify and execute unique ML solutions using our quantum systems.
Evaluate and recommend tools, technologies, and frameworks that enhance the efficiency and effectiveness of machine learning projects.
Stay updated with the latest advancements in machine learning and related fields, applying new methodologies to improve model performance and scalability.
Ensure hazards and risks psychosocial and physical are identified and controlled for tasks, projects, and activities that pose a health and safety risk within your area of responsibility.
Deep expertise with the various capabilities available when tailoring a model, e.g.
:Learning paradigms (supervised, unsupervised, reinforcement) Problem types (classification, regression, generative) Architectures (linear models, trees, neural networks, ensembles) Purposes (predictive, descriptive, prescriptive) Hyperparameters (learning rate, epoch counts, depth) Other optimization techniques (feature engineering, regularization, tuning) Performance evaluation (recall, RMSE, learning curves, benchmarking) Minimum Qualifications Bachelor's degree, Master's degree, or PhD in Computer Science, Engineering, Statistics, or a related quantitative field.
Proven track record of successfully developing and deploying machine learning models in real-world applications, with demonstrable impact on business outcomes.
Expertise in problem statement definition, experimental design, model selection, and evaluation metrics.
Hands-on experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and proficiency in programming languages such as Python, Scala and/or R. Five or more years' experience in a senior machine learning role.
Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud).
Familiarity with data engineering practices and data pipeline development.
Location This position is based in Sydney, at our SQC offices in Kensington, with occasional travel required.
Company Culture We foster a collaborative and inclusive environment where innovation and continuous learning are encouraged.
Join us in leveraging cutting-edge quantum machine learning techniques to drive transformative changes across diverse industries.
Pre-employment checks required for this position Verification of qualifications Background checks #J-18808-Ljbffr
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