Senior Applied ML Engineer

Remote /
Engineering /
Full Time
EvolutionIQ
We're on a mission to build the world's leading AI platform that will transform the insurance industry making insurance better, faster and cheaper for everyone.

We develop machines with deep comprehension and vast data access to guide humans to the optimal decisions and enable them to handle enormous numbers of claims.  We pair the predictive insights with an intuitive and easy to use web application that handles complex claim summarization, guidance and investigation workflows. The result is potential savings in the hundreds of millions, and added precision to insurance pricing. 

Our Team
We are founded by a senior Google AI expert and a Bridgewater Associates Algorithmic Investor & Stanford MBA. We’re not looking for employees. We’re looking for partners in work, partners in culture-building, and partners in the future of data-driven insurance. The development team consists of world class engineers and leaders from companies like Google and Bloomberg. Each individual has had great success building large scale enterprise software and is now excited to try their hand at transforming the insurance industry.

Our investors include First Round Capital (seed investors in Uber, Square, Looker), FirstMark (Airbnb, Pinterest, Shopify) and Foundation Capital (Lending Club, CoverWallet, Netflix) and we have deep support within each of their organizations. You will also have full access to their networks and counterparts at portfolio companies for advice, ideas and community.

Your Role
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
• 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
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 need. We’re a well funded company and we’re able to offer competitive compensation packages and real ownership in your work. Specific compensation and equity varies with experience level.

• Full Medical, Dental Insurance, Vision, Short & Long Term Disability
• 401K matching
• Flexible vacation
• Paid team lunches