Senior Applied Machine Learning Engineer

Job description

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. • Full Medical and Dental Insurance • 401K • Flexible vacation • Paid team lunches in office EvolutionIQ is an equal opportunity employer because we value diversity in all meanings of the word. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status. We’re working to make the insurance industry faster, fairer and cheaper for everyone. Evolution IQ is revolutionizing the insurance industry by changing the way claims analytics are done. We are bringing bleeding-edge technologies to one of the world’s oldest industries. Evolution IQ is developing a next-gen platform for the insurance industry. We develop machines with deep comprehension and vast data access to guide humans to the optimal decisions over large numbers of claims. Our training data includes all parts of historical insurance claims, as well as data we source externally. Our findings are presented in intuitive products to streamline the claim investigation process. The result is potential savings in the hundreds of millions, increased fairness 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. Investors 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.