Machine Learning Engineer

About Checkr Checkr builds people infrastructure for the future of work. We've designed a faster—and fairer—way to screen job seekers. Established in 2014, Checkr puts modern technology powered by machine learning in the hands of hiring teams, helping to hire great new people with an experience that’s fast, smooth, and safe. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable. A career at Checkr means collaborating with brilliant minds, disrupting an industry, and opening channels of employment to often overlooked candidates. Checkr is recognized on

Forbes Cloud 100 2024 List

and is a Y Combinator 2024

Breakthrough Company . As an ML Engineer on the ML Team at Checkr, you will be responsible for building and managing several ML/AI algorithms, processes and tools that Product Engineering teams rely on to deliver Checkr’s product and features. You will work closely with engineering and product teams to help them implement the best algorithms and processes at scale in their services. What you’ll do Develop Cutting-Edge ML/AI Solutions : Collaborate closely with product and engineering teams to design, develop, and deploy innovative ML/AI models and algorithms. These solutions will target enhancing gross margin efficiency and optimizing our background check processes. Integrate ML/AI in Products : Partner with product teams to embed and scale ML/AI capabilities within our external product offerings, ensuring state-of-the-art technology is seamlessly integrated to provide tangible value to our users. Data Analysis and Feature Engineering : Conduct thorough data analysis, identify key features, and preprocess data to create robust and scalable ML models that drive process improvements. Model Evaluation and Optimization : Evaluate the performance of machine learning models, iterating and optimizing them for accuracy, efficiency, and scalability. Cross-Functional Collaboration : Work in tandem with various stakeholders, including data scientists, software developers, and product managers, to understand business requirements and translate them into technical solutions. Stay Ahead of Industry Trends : Keep abreast of the latest advancements in machine learning, artificial intelligence, and related fields, championing innovation and applying cutting-edge techniques to solve complex problems. What you bring Industry Experience : 4+ years of experience in roles focused on machine learning. Problem-Solving Skills : Ability to solve regression-based problems to enhance business insights and operational efficiency. NLP Systems Experience : Familiarity with building production-ready NLP systems, demonstrating knowledge in natural language processing. Distributed Systems Knowledge : Understanding of distributed systems to ensure scalability and reliability of solutions. Programming Skills : Proficiency in Ruby or Python for implementation and integration of solutions. ML Frameworks Experience : Hands-on experience with building and designing experiments to evaluate different ML/AI algorithms, including deep learning. Knowledge of PySpark and MLOps frameworks like SageMaker and MLflow is a plus. Generative AI Knowledge : Familiarity with generative AI, fine-tuning, and AI design patterns is a plus. Data Manipulation and Analysis : Proficiency with Pandas and scikit-learn for data preprocessing and model evaluation. Educational Background : BSc or MSc in Computer Science, Mathematics, or a related technical field. What you’ll get A fast-paced and collaborative environment Learning and development allowance Competitive compensation and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend, home office stipend Catered Lunch and snacks

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