Applied Machine Learning Engineer

EvolutionIQ
New York, NY, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Unit Testing Big Data Databases Directed Acyclic Graph (Directed Graphs) Data Architecture Digital Assets Information Extraction Python (Programming Language) Machine Learning Natural Language Processing Data Processing
+1 more
Pandas

Requirements

Who are you? A machine learning engineer who wants to work in the areas of machine learning, natural language processing, information extraction, graph models, and AI architectures. You want to join a close-knit group and make a big impact. You thrive in an ambiguous environment and are intrinsically motivated and “just figure it out.” Be the technical owner of a new, complex machine learning project, working closely with Evolution’s ML product manager. Your mission starts with mapping out the opportunity and continues to launching a solution in production., * Works well with PM to map business requirements to ML architectures on a novel problem

  • Acted as owner of applied ML project from conception to shipping (1 or more)

  • Acted as part of an ML team that shipped a product

  • Expert developer who uses writes clean, efficient, easy to understand code with unit tests, functional design patterns

  • Expert in Python 3 and Pandas or equivalent data manipulation library

  • Expert data architect eager to solve complex, multi dimensional big data problems with advanced strategic leverage of databases, data assets and DAG pipeline

  • Excellent document writing skills

  • Extreme creativity and resourcefulness, appetite to solve previously unsolved problems

Other

  • Extreme self-starter and self-motivator

  • Holds self to extremely high standards, and inspires others to do the same

  • Open to giving and receiving critical feedback

  • Believes in the mission of the company, cares about fundamental fairness

  • Able to handle the ups and downs of early startup life

  • Enthusiasm for team work and pair work

  • Kind, empathetic, polite and professional

Benefits & conditions

We think work should be intense, rewarding and flexible. While there is a standard set of benefits listed below, we are small enough that we can consider any specific requests that you may need. We’re a well-funded company and able to offer competitive compensation packages and real ownership in your work. Specific compensation and equity varies with experience level.

  • Full Medical and Dental Insurance

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