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.

Outcomes

• Work with PM to map business requirements to a machine learning solution

• Ingest and clean raw client data

• Integrate into Evolution’s machine learning platform
• Build, tune, evaluate models (create custom evaluation strategies)
• Reproduce ML prototype in a live production environment

Role Competencies

• 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

All your information will be kept confidential according to EEO guidelines.

Benefits

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.