Applied ML Engineer
General Information
At Inspect, our software processes O(petabytes) of data to generate social insights that help users to navigate Web3 and make better decisions. The task of our ML engineers is to build the brains of the product!
Applied ML engineers will work alongside an experienced team of crypto-enthusiast engineers and leaders from companies like Meta and Amazon to build solutions that span the gamut of ML applications: from graph embeddings and image descriptors, to entity recognition and NLP classifiers.
We're looking for people who are comfortable with ambiguous problems to apply their wide breadth of ML experience, have experience with the entire lifecycle of ML development (from early data analysis and exploration to delivering models to production traffic), and want to move quickly to make their ideas a reality.
Position: Full-time
Location: Remote
Timezone: Within 3 hours of PST.
Responsibilities
Own the end-to-end application of ML for Social Intelligence by
Creating models that (for example) ...
Understand user/wallet graphs through graph embeddings
Process social posts for entity recognition, sentiment analysis
Create descriptors for images for copy-detection lookup or semantic analysis
Designing and implementing ML model lifecycle infrastructure like ...
Feature engineering and optimization
Label collection and active learning
Model performance tuning and optimization
Performing data analysis to ...
Understand important trends and where new solutions are most likely to succeed
Get a strong qualitative and quantitative grasp on the data with which we're working
Inform the team of key observations that will help us make good decisions on future direction
Launching new features and improvements to existing functionality
Inform product development based on ML capabilities and requirements
Improve the maintainability of new and existing solutions to limit operational overhead
Write readable, simple (as possible) code that realizes an impact for our users and business
Help team members by providing quality feedback, reviewing code and designs, and working together to deliver solutions
Requirements
Minimum:
Fluent in English
3+ years of professional software engineering experience working on industrial ML applications
The following will help you stand out:
Experience operating as a team lead for a project with more than 3 engineers
Significant experience with bringing ML models to production
Experience setting direction in ML-focused projects
Experience across 2 or more topics: metric learning, graph embeddings, NLP, image descriptor learning, forecasting
Experience with 0 to 1 product development
A working knowledge of NFTs, DeFi, and Web3
How to apply
We're looking for engineers with 3+ years of experience working on industrial ML applications. Please email hiring@optick.xyz with a copy of your updated resume and any additional information that may help us make a decision. We will aim to get back to you within 48 hours with next steps.
Last updated