Software Machine Learning Engineer

1 month ago

London, United Kingdom Plumerai Limited Full time

We are looking for a Machine Learning Software Engineer to help us improve our training algorithms, data pipeline and model architectures. Your work has a major impact on our roadmap of new AI features and your code will be shipped to a very large number of camera devices in the field. Together we are building the most advanced AI for embedded devices.
Our deep learning models are truly tiny - the memory footprint of our computer vision models is sometimes just 1MB . You will improve our data pipeline, model architectures and training software. You will use and improve our large data warehouse that allows us to train our tiny deep learning models. Our automated data ingestion pipeline feeds unlabelled images to large auto labeling models, processes our large datasets (30 million images and videos), and generates datasets for model training.
You will use our Kubernetes cluster to deploy TensorFlow training jobs, Weights & Biases to analyze results, Snowflake and Dataflow to build datasets, large multi-modal models for yet to be announced features, Streamlit to prototype new demos, and lots of GPUs on GCP for training new models and auto-labeling data.
Our software is deployed in the field on a very large number of camera devices from major consumer brands. You will ship new features fast, use feedback from users to make our AI models ever more accurate, and make our API developer friendly. 
Career advancement opportunities are likely as the company grows.
We make it easy for developers to add highly accurate AI to their embedded products and thereby enable them to create amazing new products. Today, large customers deploy our People Detection , Familiar Face Identification , and ML inference engine software on their devices in the field. Making it possible to deploy AI on hardware that is cheap and low-power is the most effective way towards a future where AI helps all of us, without making any compromises on privacy.
From data collection and curation , custom training software , model architectures, pre- and postprocessing, and all the way down to the fastest inference engines . Strong software engineering skills and proficiency in Python.

~ Industry experience with object detection and other computer vision tasks.
Experience with training neural networks that moved into production.
We value a proven track record of building things and working with large-scale software projects, either as a professional or through open-source contributions. Competitive salary.
~ Relocation assistance.
~ 25 days of paid vacation time in addition to bank holidays.
~ We have flexible working hours and like to work together from our offices in London and Amsterdam on at least 2 fixed days per week, but visiting the office more often is also possible.
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