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.
About the role
- Senior AI/ML Engineer developing machine learning tools for quantum error correction at Riverlane. Collaborating with researchers to deliver innovative AI solutions in quantum computing.
Responsibilities
- Apply proven expertise in machine learning, deep learning and other areas of artificial intelligence to pioneer new approaches that accelerate the development of QEC solutions
- Collaborate with leading QEC researchers, quantum scientists, and software engineers
- Identify and develop innovative AI, ML and deep learning techniques for scalable QEC tools
- Design and deliver proof-of-concept AI applications that inform and shape the next generation of products
Requirements
- A background in Computer Science, Mathematics, Statistics, Physics, or a related technical field
- At least 2-3 years’ experience in machine learning, deep learning and other areas of artificial intelligence (can be from industry or an academic (post-doc) environment)
- Strong programming skills in one or more languages, preferably Python and/or C++
- Knowledge of data structures and algorithms
- Proven experience working with ML frameworks such as JAX, PyTorch, TensorFlow, etc.
- Solid understanding of neural network architectures e.g. transformers, CNNs, RNNs, LLMs.
- Solid understanding of training techniques (supervised, unsupervised, and reinforcement)
- Experience with ML model design and optimization, including model training, evaluation, fine-tuning, and model interpretation
- Experience with leveraging GPU or TPU acceleration for training and evaluation
- Excellent written and verbal communication and collaboration skills
Benefits
- An annual bonus plan
- Paid time off
- A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities
- A learning environment that encourages individual, team and company growth and development, including a regular programme of learning events and training and conference budgets
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
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.
Senior ML Engineer developing AI solutions for S&P Global. Join our team working on cutting - edge ML systems and real - time data applications.
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.
AI/ML Engineer building intelligent systems using machine learning and AI at Emumba. Developing, training, and deploying ML models while collaborating with cross - functional teams.