About the job
Join Us as a Lead Machine Learning Engineer
Position: Lead Machine Learning Engineer
Hiring Manager: Matt, Cofounder and CTO
Work Schedule: Monday to Thursday at our Chancery Lane office in London, and Fridays from anywhere
Compensation: Competitive salary starting at £200k+, along with matched equity
Our Vision
In an age where office hours are consumed by emails, Slack messages, and endless meetings, we recognized a significant challenge faced by professionals in client-facing roles. Estate agents, insurance brokers, and recruiters often find themselves overwhelmed with administrative tasks instead of engaging with clients. Our innovative solution is an AI-powered executive assistant that intelligently manages emails, schedules meetings, and organizes inboxes, ensuring that users can focus on what truly matters.
Our Journey So Far
Since our launch in April 2024, we have achieved remarkable growth, scaling from $0 to $30 million in Annual Recurring Revenue (ARR) and successfully raising $30 million in Series B funding from top-tier investors. Our team currently consists of 18 talented engineers.
What We Value
At Fyxer, we cherish autonomy, agency, and ownership. Each engineer is empowered to manage their own business area, responsible for both strategy and execution without the influence of product managers. You’ll have the freedom to gather qualitative and quantitative data, with support from our data engineering team. We are selective about our hires, believing that a small team of exceptional individuals focused on meaningful problems outperforms larger, less engaged teams. We seek candidates who bring intensity and passion to their work, leading to accelerated opportunities for advancement.
Your Role
As a Lead Machine Learning Engineer, you will enhance our capabilities in predicting the next email a salesperson should compose, streamlining their workflow. Looking ahead to 2026, our goal is to anticipate the next action a salesperson should take to foster vital relationships. Our competitive advantage lies in the quality of our AI models, with over 30 finely tuned custom models currently operational, each designed for specific use cases, collaborating to deliver an exceptional user experience. Notably, users contribute 52% of the draft content generated by our system. To achieve this, we have established a world-class data division comprising over 60 experienced data annotators from leading AI labs, providing invaluable input to train our models.