AI/ML Job: Machine Learning Engineer

Machine Learning Engineer at Synapse

🇺🇸 United States › California › San Francisco   (Posted Jan 30 2022)

Job description
We are looking for machine learning engineers to help us build an automated backoffice. In traditional banks, back offices are filled with humans. Their job usually is to verify physical documents (like government issued IDs, proof of address, proof of income documents etc), fill out forms, and search for people via google and other search engines.

What You Will Do
Build the model serving systems with which we can use to deploy our models to production
Scale the ML system to allow it to support more cases and and ML model types
Build and implement the machine learning infrastructure that allows any Synapse engineer the ability to prototype and iterate on products and features to be executed on top of consumer-permissioned financial data
Collaborate closely with other members cross functionally (account managers, compliance specialists, support, etc.) in order to deliver high quality code for business system problems as they arise
Ability to build and fine tune ML models that can support all of Synapse internal compliance regulations and ML platform features
A general concern for the wellbeing of others and the desire to work on problems that maximize a positive future for humanity
An entrepreneurial spirit and unrelenting passion to deliver the best service possible
The ability to implement feedback, learn quickly, and contribute new ideas

What You Will Bring
Minimum Bachelor’s degree in Computer Science, Data Science, and/or a related field. Advanced degree is a plus.
Experience with Python, with strong love for writing tests
Experience with Tensorflow, PyTorch, Numpy
Experience with working on computer vision or NLP problems
Ability to write clean, reliable code that can be easily maintained
Ability to solve problems and identify areas of improvement
Along with Python, we use flask to build APIs, docker to containerize them, rancher to deploy and orchestrate, AWS to host, CircleCI to test (and obviously Github in between all this). So experience with this stack is a plus, but not a necessity. These things are easy to learn.
Having Risk, Fraud & credit modeling experience is a plus

What We Offer
💰 Competitive Compensation
📈 Equity
🍎 Insurance (Medical/Dental/Vision)
💚 401(k) with company matching up to 4%
🏝 PTO & Holidays
✨ Life Insurance & LTD

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