Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
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
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