Machine Learning Engineer developing advanced ML-driven applications to enhance quantum technologies. Collaborating with teams to translate complex physical data into actionable improvements.
Responsibilities
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 experience
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
Benefits
In addition to your base compensation, we offer a generous Total Rewards program which includes:
Lead Machine Learning Engineer at Disney applying AI and machine learning to enhance advertising capabilities. Collaborating with teams to build robust ML systems and drive innovation.
Senior Machine Learning Scientist improving customer and business outcomes using ML and statistical modeling. Working with experienced team and involved in end - to - end model development.
Senior AI/ML Ops Engineer at Smartsheet responsible for building scalable AI/ML platforms. Collaborating with cross - functional teams to enhance data infrastructure and operational efficiency.
Machine Learning Engineer developing LLM - powered systems at Trainline. Designing predictive ML systems, collaborating with cross - functional teams on AI initiatives.
Staff ML Engineer building scalable platforms for ML model training and evaluation at GM. Collaborating on autonomous driving technology development and mentoring junior engineers.
Machine Learning Software Engineer developing and industrialising AI solutions for Tech Soft 3D's HOOPS AI product. Collaborating on core libraries and APIs for industrial 3D applications.
AI and ML Engineer deploying machine learning solutions for national security. Collaborating with engineers and scientists to deliver data processing solutions at scale.
Working Student in Signal Processing and Machine Learning at Fraunhofer Institute for Integrated Circuits. Involved in research and application - oriented projects with flexible hours and learning opportunities.