Neurolabs is seeking a Staff Computer Vision Engineer to help build the future of real-time retail execution.
The company focuses on providing real-time visibility in retail through its Image Recognition technology, which utilizes synthetic data and digital twins.
The role involves scaling the vision AI product into a robust, production-grade system.
The engineer will be responsible for driving applied model development from idea to deployment, leading the design, training, and optimization of computer vision models.
The position requires balancing performance, latency, and reliability for models in dynamic retail environments.
The engineer will advance the synthetic data generation pipeline and improve the performance of the in-house large vision model (LVM).
Collaboration with Product, Infrastructure, and Customer teams is essential to ensure seamless integration of models into field workflows.
The role emphasizes practical engineering and good data practices, ensuring clean and reliable data for model development.
Requirements:
A PhD or equivalent experience in Computer Vision, Machine Learning, or a related field is required.
A proven track record of developing and deploying large-scale computer vision models in production is essential.
Strong programming skills in Python, with hands-on experience in PyTorch or TensorFlow, are necessary.
A deep understanding of modern computer vision architectures, particularly large vision models and Transformers, is required.
Experience with multimodal data (images, video, text) is highly desirable.
Familiarity with MLOps tools and workflows is important.
The candidate should be hands-on, self-directed, and possess a strong sense of ownership.
Clear thinking, quick testing, and evidence-based iteration are crucial for success in this role.
The ability to communicate technical findings clearly to both technical and non-technical stakeholders is essential.
Benefits:
The role offers a competitive salary of up to £150,000 per year with an open salary structure.
Employees will have the opportunity to partake in equity share options, celebrating collective victories.
A hybrid-first approach allows for a flexible balance between home and the London office near King’s Cross.
The company fosters a culture of inclusivity, promoting authenticity, kindness, and trust among team members.
Employees enjoy a generous 25 days of annual leave along with bank holidays.
Annual company retreats provide opportunities for social time and team reflection.
Comprehensive medical insurance is provided, prioritizing both physical and mental health, including dental, optical, and travel insurance.