Machine Learning Engineer

Machine Learning Engineer (Contract) Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic Job Description Counterpart is a modern management & professional liability insurance platform for the 21st century workplace. We offer products and services to help companies align the risks and incentives of creating great organizations. Our platform is designed to measure risk more efficiently using the most advanced rating system in the industry, while also proactively mitigating the risks of our insureds. Ultimately, we provide businesses with the framework to be the best versions of themselves. That’s where you come in. Responsibilities Own the transition from model experimentation to deployment for traditional ML models and AI workflows; work with the Data Science Teams to build experiments that are in line with the existing deployment processes and provide guidance and help for refactoring when appropriate. Own the data quality of all data used by the Data Science team; understand how to appropriately test given downstream applications. Implement model quality by tracking the key metrics used by the Data Science team. Build and own a testing framework that captures the key metrics of the products released by the Data Science team. Understand the risk/benefit to the business for each part of the codebase and advocate for refactoring where appropriate given current and future usage. Stay ahead of and communicate the impending updates being implemented by the Engineering Org and help the Data Science team understand impact. Qualifications Bachelor/Master in quantitative discipline (computer science, mathematics, statistics, economics, physics, engineering or related field). 2+ years of experience as a machine learning engineer. Experience deploying and testing machine learning models that have been deployed to execute business decisions. 3+ years experience with Python, including the typical data science stack (pandas, scikit-learn, numpy, scipy, Jupyter, etc). Strong understanding of data science metrics and methodologies for measuring model performance. Experience tracking model performance in production. Comfortable building clean, repeatable experiments in a notebook environment. Familiarity with the tradeoffs of scaling data infrastructure and database systems. Bias to practical action and creativity using data (we value past or present projects that support this).  Who You Will Work With Elizabeth Barsalou, Manager Data Scientist : Before joining Counterpart, Elizabeth worked as a full stack data scientist in small business lending for Kabbage and BHG. She specialized in building data science models, infrastructure and strategies to extend credit to small businesses. She lives in New York and spends her free time singing opera and playing with her dog. Stanley Wang, Director, Pricing Analytics : Before joining Counterpart, Stanley worked as an actuary within the pricing solutions and methods team at USAA to combine actuarial pricing with data science models. Before that, he was a leading data scientist for Digital Partners, a Munich Re Company where he specialized in building data science models and insights for leading insurtech companies. Newton Troung, Lead Data Engineer : Newton has almost a decade of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. Counterpart's Values Conjoin Expectations – it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others. Speak Boldly & Honestly – the only failure is not learning from mistakes. Don’t cheat yourself and your colleagues of the feedback needed when expectations aren’t being met. Be Entrepreneurial – control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Practice Omotenashi (“selfless hospitality”) – trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected. Hold Nothing As Sacred – create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there. Prioritize Wellness – some things should never be sacrificed. We create an environment that stretches everyone to grow. We Offer Work from Anywhere – Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones. Language Classes – We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills. Paid Vacation and Time Off Parental Leave – Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance. Computer – We reimburse you for your locally procured Macbook Pro. If you are still with the company after one year, it is yours to keep Our estimated pay range for this role is USD $70,000 - $80,000 annually . Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equity, and experience. We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation. #J-18808-Ljbffr