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3 billion people across the world work in frontline jobs. Yet, despite rising costs and staff shortages, frontline organisations are still left to choose between paper, Excel, and WhatsApp, or decade-old workforce management solutions to take care of the most important part of their businesses – their people.
Enter Sona: the next generation of AI-native, frontline workforce management. We’ve built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organisations everything they need to staff more intelligently and empower their teams.
In under 4 years, we’ve already made a deep impact on the lives of over 100k frontline workers and the operation of their organisations, grown the team to 110+, and secured over $50M in funding from notable VC’s, including Felicis, Northzone, Gradient Ventures (Google), SpeedInvest, Antler, and Notion Capital, plus notable angels like Tom Blomfield (Monzo).
It’s a hugely exciting time to be joining the team as we’re still small enough that you’ll have a significant impact on the company’s growth trajectory and culture, yet large enough to have a great structure, experienced leaders and world-class benefits in place. More on working at Sona here.
About the Role
As our new Machine Learning Engineer, you’ll join a small AI/ML team and spearhead the next step of development of Sona’s best-in-industry forecasting models, creating huge impact for our customers. Our forecasting models enter into a complex environment with key machine and human decisions being made on their predictions; facing feedback loops and a highly variable environment. You’ll start by solving a well defined forecasting problem, and demonstrating Sona as best in class, then move on to developing green field areas for machine learning and algorithms across the business.
You’ll love this role if:
Our role won’t be for you if:
Requirements
You’ll need these skills/experience to be successful:
It would be great if you have experience in some of these areas too:
Benefits
Note: this represents a typical benefits package for a UK-based, full-time employee. Exact details may vary based on location and employment type but we try to be as fair as possible to all of our team members. Please ask your contact in the Talent team to clarify the available benefits for you.
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