We are seeking a highly qualified Ion Transport Physicist for our Broomfield, CO or Brooklyn Park, MN location to apply their expertise to cutting-edge R&D efforts in the field of quantum computing. The ideal candidate will have experience addressing technical challenges related to ion transport in surface ion traps. In this role, you will perform numerical simulations and modeling of advanced ion transport methods, provide technical input to ion trap fabrication efforts, related electronic control system development projects, and collaborate with teams performing experimental characterization and validation of ion transport concepts in the laboratory.
Quantinuum believes that employees work better, more efficiently and more collaboratively in close proximity to other employees, where ideas can be exchanged readily, and decisions can be made more quickly for the benefit of the Company and our customers. All employees should work at their assigned location; however, this role may offer the opportunity to work remotely up to 2 days per week, with approvals.
All applicants for placement in safety-sensitive positions will be required to submit to a pre-employment drug test.
Quantinuum is a leading quantum computing company delivering a full stack platform designed to make quantum computing deployable in real-world environments. With active engagements spanning pharmaceuticals, material science, financial services, government, industrial sectors, and leading academic and research institutions worldwide, we are helping organizations unlock the transformative potential of quantum computing. Our global team of more than 800 employees includes many of the world's leading scientists, engineers, and researchers, with more than 70% of our technology team holding advanced degrees at the Master's or PhD level. Headquartered in Broomfield, Colorado, Quantinuum operates across the United States, United Kingdom, Germany, Japan, and Singapore. By joining Quantinuum, you’ll help shape the future of quantum computing, pushing the limits of technology, and making the impossible possible. What’s in it for you? We believe our people are our greatest strength and offer a comprehensive rewards package that supports your professional growth, well-being, and long-term success. Competitive compensation and the opportunity to work on groundbreaking technology Flexible work arrangements that support work-life balance Employer-subsidized medical, dental, and vision insurance 401(k) retirement savings plan with company match and student loan repayment benefit Equity opportunities Generous paid time off, sick leave, and 12 paid holidays annually Paid parental leave Employee discount programs Equal Opportunity Employer Quantinuum is proud to be an equal opportunity employer. We are committed to building an inclusive workplace where all employees and applicants are treated with respect and provided equal opportunities regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, ancestry, marital status, or any other characteristic protected by applicable law. Know Your Rights: Workplace discrimination is illegal. For more information about Quantinuum, please visit our website. We are committed to making our recruitment process accessible to all. If you require any reasonable adjustments at any stage of the application or interview process, please let us know use the Lets talk contact form. Applications will be accepted on an ongoing basis, there is no application deadline for this position.
Lead applied research to develop advanced fraud detection models using machine learning techniques, focusing on relational graphs, sequential events, and multimodal data.
As a Senior Machine Learning Engineer on the Fraud Data team, you will develop and optimize models to enhance fraud detection, leveraging insights from Plaid's extensive network data.
As a Partner AI Deployment Engineer, you'll lead technical engagements with systems integrators to drive the adoption of Generative AI solutions, ensuring partners deliver exceptional results for their customers.
As a Senior Machine Learning Engineer, you will build machine learning-powered products and features, supporting the Plaid App and driving product-market fit for a new business line.
As a Senior Machine Learning Engineer, you will enhance Babbel's learner-personalisation engine by owning subsystems, implementing features, and ensuring robust evaluation and monitoring.
