Machine Learning Engineer

Roberts Recruiting•Boston, MA

25d•Onsite

About The Position

We're looking for a smart, friendly, and dedicated machine learning engineer to help build new features and products. As a company, we’re customer and sales-driven in every technical decision we make. As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured data sources. You will design and build customized, large-scale cloud-based machine learning systems. You will report directly to the CTO and get to work alongside the technical leadership team. You will have a close relationship with our Product Managers and UX Designers, collaborating in a fast-paced, small-team environment.

Requirements

BS in computer science or computer engineering required.
Broad knowledge of machine learning and deep learning models and its applications using standard tools including Tensorflow/Keras.
Backend development experience with a strong interest in work involving data pipelines, distributed systems, performance analysis, and/or large-scale data processing.
Strong Python skills and Python ML stack (pandas, scikit-learn, numpy, etc.) with knowledge of Object-Oriented Programming.
Fluency in SQL and Database Management.
Experience with software engineering practices (e.g. Agile, unit testing, code reviews, design documentation).
Excellent communication and collaboration skills and ability to communicate complex technical concepts to technical and non-technical audiences.

Nice To Haves

MS preferred.
Natural language processing experience including named-entity recognition and text classification is a plus.

Responsibilities

Develop natural language processing systems that help customers understand their contracts.
Work with a wide range of structured and unstructured data sources.
Design and build customized, large-scale cloud-based machine learning systems.
Collaborate with Product Managers and UX Designers in a fast-paced, small-team environment.