
SymphonyAI builds packaged AI solutions that drive rapid time-to-value across the world's largest industries.

SymphonyAI builds packaged AI solutions that drive rapid time-to-value across the world's largest industries.
Founded: 2017
Headquarters: Palo Alto, California
What they do: Enterprise AI SaaS — packaged, vertical-focused AI applications
Platform: EurekaAI (predictive, generative, agentic AI capabilities)
Scale: 2,000+ customers; 2,069 employees
Founder: Dr. Romesh Wadhwani (Founder & Chairman)
Enterprise vertical AI for industry-specific challenges (retail/CPG, financial services, industrial/manufacturing, enterprise IT, media).
2017
Enterprise AI SaaS
Acquisition entry: Azima (May 2019).
“Backed by a $1 billion commitment from Dr. Romesh Wadhwani (SAIGroup); board includes a representative associated with Motive Partners.”
Introduction We seek a to join our SymphonyAI Retail team in London. As a Machine Learning Scientist at SymphonAI - Retail, you will join our team developing shelf intelligence—a computer vision-powered system that helps major retailers understand real-time shelf conditions and drive in-store execution. This hands-on, applied research role is ideal for early-career scientists passionate about building ML products from the ground up—empowering retailers to stay competitive and meet consumers’ evolving needs. * Design, train, and deploy deep learning models for product recognition, shelf segmentation, and visual reasoning * Evaluate and implement ideas from recent ML papers to solve practical challenges using retail image datasets * Benchmark multiple approaches through rigorous experimental pipelines * Build scalable inference pipelines using frameworks such as PyTorch, TensorRT, ONNX, and TensorFlow Lite (cloud and edge) * Collaborate with engineers and product stakeholders to integrate models into end-to-end systems * Perform error analysis and iterate on models continuously in production environments * Master’s degree with 3+ years of experience or Ph.D. with 0-2 years of experience in machine learning or computer vision * Strong foundation in deep learning architectures, including * Experience with generative AI models such as diffusion models and vision-language models (VLMs) * Proficient in Python and familiar with ML frameworks like PyTorch * Familiarity with model optimization and inference acceleration tools (e.g., ONNX, TensorRT, OpenVINO, vLLM) * Demonstrated ability to ship ML models in production settings, including performance monitoring and failure analysis * Excellent communication skills and proven ability to collaborate across cross-functional teams * Bonus: Prior experience with computer vision tasks (e.g., object detection, OCR, image classification) or retail/merchandising data Ability to maintain at least a 50% overlap with US working hours (PST timezone) to coordinate with the US team and support both US and EU clients. * Competitive Salary and benefits package designed to attract and retain top talent. * Collaborative and Inclusive Work Environment that values diversity and teamwork. * Access to the Latest Technologies and tools to enhance your work and skills. * A Chance to Make a Tangible Impact on the retail industry through cutting-edge AI solutions. SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. Visit here, for more information about how we hire, what’s in it for you, our culture and values.