How would you like to be the newest Machine Learning Implementation Engineer for a cutting edge Series A tech startup revolutionizing the marketing space? This company helps their clients by replacing A/B testing with automated experimentation powered by self-learning AI. This enables marketers to test and improve campaign performance much faster than before.
What's the Job?
As an Machine Learning Implementation Engineer, you will be collaborating with internal teams for customer implementations. You will build customer use cases to then run implementations, ensuring customer data is piped into the Machine Learning models. You will extend product capabilities by developing ETL processes and data pipelines. You will also work cross functionally with the ML Development team to improve reinforcement learning algorithms.
This is a highly visible role where you will be involved in product strategy, roadmap, and be the face of the company, working directly with customers.
Who Are We?
Trusted already by many big brands since its founding in 2020, lifecycle marketers rely on this company to accelerate experimentation. They make it possible to unlock the full value of their customer data through their AI solutions. Once configured, the self-learning AI makes daily recommendations for each customer to maximize success metrics of their choosing.
They're backed by lead investors and are already causing a stir in the marketing and AI spaces. They promote a positive learning environment where you'll have the opportunity to be mentored by leadership from big tech and major consulting firms.
What Skills Do I Need?
Nice to Have:
What's in it For You?
This is great opportunity to take your talents to an up-and-coming company where there is no ceiling to your career progression. As a Machine Learning Implementation Engineer on this team, you will be involved in the upswing of new technology in an increasingly competitive space.