Associate (Developer Machine Learning)

Polymer Capital

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Job Summary

Job Type
Permanent

Seniority

Mid Junior

Years of Experience
2-3 years

Tech Stacks
ETL TensorFlow PyTorch Rust C++ C# Linux Python AWS Java

Job Description

As a software engineer, you will work closely with ML researchers and other developers in the team.

Our team develops machine learning/deep learning models for quant strategies.

We’re looking for machine learning engineers to design, develop and maintain systems that assist ML researchers with various tasks including storage, data ETL, model training, validation and hyper-parameters tuning.

Our team follows Agile & DevOps practices, developers are expected to handle solutions end-to-end.

Based on data types, access patterns, design systems including but not limited to:
Data storage
Data ETL
Workflow
Integrate ML models for offline and online inference
Help researchers with technical issues, best practices and performance tuning

Requirements

Bachelor or Master's degree in STEM majors
2 – 3 years of ML project experience
1 – 2 years back-end experience using languages like C#/Java, C++/Rust, Python
Familiar with Machine Learning related frameworks, such as TensorFlow and PyTorch
Experience managing infrastructure, comfortable with Linux
Willing to step out of comfort zone and learn, good at problem-solving
Good theoretical foundation of machine learning and data mining
Able to read and write in English, limited speaking capacity is acceptable

Good To Have

Well versed in AWS / GCP
Understand different data storage solutions, their PROs and CONs
Good mathematics and statistic knowledge (understand concepts like matrix and related operations, correlation, standard deviation, etc.)
Experienced in automated hyperparameter tuning optimization, automated model training and scoring and model selection

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