SANTIAGO DE CHILE /HEADQUARTER – MACHINE LEARNING – AI /FULL-TIME/ HYBRID
*This role is expected to work in Chile
Job Profile
The company:
We are one of the IA fastest-growing companies. We work every day to build a better future by creating incredible plant-based products with less environmental impact and taking the animal out of the equation.
We are moved by the constant desire to move the needle, to change things with the purpose of caring for and protecting our planet and what is to come.
Our squad is in Chile, Brazil, Argentina, Colombia, Mexico, the USA and Canada, working tirelessly to conquer palates around the world, and to continue advancing this Plant-Based revelation.
Job Description:
As a Machine Learning Engineering Manager, you will work with a multifaceted team of ML & Software Engineers, UI/UX Designers, Experimental Chefs, and Food Scientists to revolutionize the way plant-based and sustainable foods are created. Your main responsibilities would be to lead a group of Machine Learning Engineers to deliver on the internal Machine Learning system that assists in product formulation for novel plant-based foods. Our tech platform
utilizes predictive & generative models, optimization algorithms, as well as in-house data warehousing infrastructure that allows us to relate nutritional, physicochemical & molecular data to find new discoveries for novel plant-based products.
This position will be based in Santiago de Chile.
Role & Responsibilities:
● Lead the core Machine Learning group in Santiago which is responsible for researching, proposing, and implementing new models and algorithms into our ML Platform
● Work closely with Product Management and tangential groups, such as our Experimental Chef and Food Science groups to organize and execute on multidisciplinary projects
● Workshop new research ideas into actionable proposals and engineering roadmaps
● Strategize technology externalization strategy for the existing tech platform with the management team.
● Mentor direct reports to develop long term career roadmaps. Direct hiring for new open positions within the group
● Foster a transparent and open culture of innovation and knowledge sharing.
Requirements:
● BS/MS in Computer Science or a related field with a focus on machine learning
● 5+ years of experience in an Individual Contributor role with hands-on Machine Learning experience
● 3+ years of Engineering Management or Tech Lead experience preferred
● Familiarity with model packaging & deployment (Docker, Kubernetes, Google Cloud Platform)
● Strong background in software engineering, unit & functional testing (Python, unittest, nose) and a focus on best practices
● Strong understanding of optimizers (blackbox optimizer, gradient-based/gradient descent, Bayesian Optimization) packages
● Prior experience with implementing & training Deep Learning models (Pytorch, TensorFlow); prior experience with training models on cloud infrastructure on GPU/TPU preferred
● In-depth knowledge in one or several of the following areas preferred: Representational Learning, Generative Models, Transformers, bandit algorithms & convex optimizers
● Upper intermediate English Level.
Shifting the mindset of the mass market is a formidable task, which is why we seek out individuals who are inspiring, innovative, driven, and truly committed to making a difference.