Machine Learning Engineer Apprentice, Fetch

• Are you capable of training and deploying a Transformer model but know when a simpler solution will do? Do you like knowing how model architectures translate to flops and the milliseconds off a server? Have you lost entire days debugging inscrutable CUDA errors? If you answered yes to these questions we’d love to hear from you
• Excellent programming skills (we use a lot of Python in this problem space but proficiency in other languages are equally welcome)
• Experience training ML models using a Python framework like Pytorch, TensorFlow, etc
• Experience deploying a model in a production environment with significant traffic. We process 100s of events per second in our prod pipelines
• Experience working inside of a codebase that is meaningful in size (minimum thousand lines) over an extended period of time

Desirable

• This is not a college internship, and requires that you have graduated by June 2024
• The ML Engineering team embodies these values and works with a laser focused objective to enable intelligent systems for end users, internal stakeholders, and external partners
• We are looking for a Machine Learning Engineer Apprentice to contribute to this vision and reap the rewards of joining an exciting company in the high growth phase
• Among other things, Fetch uses ML/AI to power receipt understanding (digital and physical), fraud detection, and rapidly evolving in the space of ads ranking, recommendation, search, and discovery
• Machine learning is core to our product and we’re working to make it an even bigger part of the company
• Your focus will be on the intersection of developing ML models and the infrastructure needed to operationalize them at scale
• The ML Team at Fetch is responsible for the full life-cycle of machine learning
• This includes data labeling/collection/management, model development, and deploying to large scale production settings
• We work closely with backend, devops and data scientists on focussed teams
• You’ll be expected to create value in a fast moving environment and that might mean at any given moment deep diving into one of these stages of the pipeline
• This is a 3 month program where you will be given challenging and meaningful work
• You will gain incredible experience and grow as an engineer
• There is no expectation that this role will convert to a full time employee
• 40 hours per week of work, minimum
• There are no health benefits during the apprenticeship
• We don’t sponsor H1Bs on an Apprenticeship due to legal limitations
• Get an onboarding buddy on your 1st day
• FREE: Mac laptop, monitors, etc. whatever is needed to be successful!
• Work on the same projects as our perm employees, you are not treated any differently