Machine Learning Engineer

ABOUT THE COMPANY

Infleqtion is a global quantum technology company solving the world’s most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables “quantum everywhere” through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications.

LOCATION

Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits.

POSITION SUMMARY

Infleqtion is seeking a Machine Learning Engineer to develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of our quantum technologies. In this role, you will design and deploy models for signal processing, noise suppression, drift compensation, anomaly detection, and adaptive calibration, working directly with experimental and hardware teams to translate complex physical system data into actionable improvements. You will build robust data pipelines, train and validate models on high-dimensional time-series and experimental datasets, and integrate inference capabilities into real-time or near-real-time control environments. The ideal candidate combines strong expertise in applied machine learning and scientific computing with experience in production-grade software systems and is motivated to apply modern ML techniques to push the limits of quantum technologies.

JOB RESPONSIBILITIES

The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time.

• Develop and implement custom machine learning models for a variety of tasks in the domains of signal processing and sensor fusion
• Stay up-to-date on literature, identify and pursue cutting edge model development techniques for low SWaP deployment
• Communicate and interpret cutting-edge research in both theory and experiment with colleagues
• Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences
• Stay up to date with the latest developments in machine learning and sensor fusion
• Provide guidance and support to other team members, fostering a collaborative research environment

Requirements:
• BS or MS in computer science, mathematics, statistics, physics, or another closely related field
• 2+ years of industrial macexperience
• Experience in developing, training, and optimizing machine learning models using Python
• Proficient in scientific computing and HPC environments, comfortable working with large datasets
• Familiarity with common machine learning tools, libraries, and frameworks (e.g. PyTorch, pandas, scikit-learn)
• Demonstrated ability to work and communicate with all levels of an organization;
• Professional-level communication skills, including verbal, written, and presentation skills
• Demonstrated ability to work comfortably in a highly collaborative, cross functional, team-oriented, and matrixed environment
• Demonstrated ability to learn new and complex topics quickly
• Resourceful problem-solver who collaboratively identifies effective paths forward with demonstrated expertise in executing productization efforts
• Passion for solving complex problems and challenges in a highly technical and scientific environment

Desirable Skills or Knowledge

• Ph.D. in computer science, mathematics, statistics, physics, or another closely related field
• Experience deploying machine learning models to edge compute hardware
• Experience with MLOps workflows for continuous model training and deployment
• Experience in quantum information science and/or quantum machine learning is a bonus

EQUAL OPPORTUNITY

Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer.

Benefits:
In addition to your base compensation, we offer a generous Total Rewards program which includes:  

• Competitive salary
• Incentive Stock Option Plan
• Generous company pension contribution
• Unlimited PTO
• BUPA healthcare after probation period
• Cycle to work and Technology scheme