Machine Learning Engineer
Role overview
- check_circle Develop and implement custom machine learning models for a variety of tasks in the domains of signal processing and sensor fusion
- check_circle Stay up-to-date on literature, identify and pursue cutting edge model development techniques for low SWaP deployment
- check_circle Communicate and interpret cutting-edge research in both theory and experiment with colleagues
- check_circle Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences
- check_circle Stay up to date with the latest developments in machine learning and sensor fusion
- check_circle Provide guidance and support to other team members, fostering a collaborative research environment
Basic qualifications
- 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
- 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
Benefits
- check_circle Competitive salary
- check_circle Incentive Stock Option Plan
- check_circle Generous company 10% pension contribution regardless of employee contribution
- check_circle Unlimited PTO
- check_circle BUPA healthcare after probation period
- check_circle Cycle to work and Technology scheme
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.