Senior AI

Delft, Netherlands | Full-time | Hybrid

Salary: €70,000 to €90,000, DOE + bonus plan

The salary range for this role is broad, as we are able to consider varying levels of experience.  Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements.

We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter.

About us

Riverlane's mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry's defining technical challenge, such breakthroughs can never be achieved.  Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion.

We recently raised $75 million to accelerate our cutting-edge R&D.  We partner with many of the world's leading quantum computing companies and governments to accelerate their path to utility-scale quantum computers. We're making remarkable progress and growing fast. Join us

About the role

We have a fantastic opportunity for an experienced AI/ML Engineer to become a founding member of our brand-new R&D team in Delft, Netherlands.

This is an incredibly exciting opportunity to play a key role in developing machine learning tools for quantum error correction (QEC) and quantum computing.  Our cutting-edge work is at the intersection of quantum science and classical engineering, and as such, you do not need necessarily a background in quantum computing to be successful in this role.

What you will do

As a Senior AI/ML Engineer at Riverlane, you will apply your proven expertise in machine learning, deep learning and other areas of artificial intelligence to pioneer new approaches that accelerate the development of our world-leading quantum error correction (QEC) solutions.

Collaborating with leading QEC researchers, quantum scientists, and software engineers, you will identify and develop innovative AI, ML and deep learning techniques that enable intelligent, adaptive, and scalable QEC tools. From early-stage exploration and prototyping through to model development and deployment, you'll play a key role in translating AI concepts into impactful technologies that advance quantum computing.

Operating at the forefront of quantum innovation, you will design and deliver proof-of-concept AI applications that inform and shape the next generation of Riverlane's products. This is an opportunity to work on genuinely novel problems — and to help define how AI transforms the future of quantum error correction.

What we need

• 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

Even better if you have

• Familiarity with quantum information theory and quantum error correction

• Experience with scientific computing and data analysis libraries, such as NumPy, SciPy, and Pandas

• Experience with cloud-computing platforms and infrastructures (such as Google Cloud Platform, AWS, GPU-enabled SLURM servers)

• Knowledge of parallel programming (e.g. CUDA) is a plus

• Contributions to open-source software or publications in areas related to machine learning for quantum computing

What can you expect from us

At Riverlane, people come first. In addition to competitive salaries, we provide a holistic range of benefits to support your wellbeing and financial security, enabling you to do your best work, while feeling supported and rewarded. Please note that benefits vary by location, but will typically include:

• 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

How to apply

Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.

We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role.

If you have any queries, please contact

Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity.

Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements.  If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every single qualification. We'd love to hear from you.

If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help.