We're building a fairer future by designing technology to create opportunities for all.
Background screening • Motor Vehicle Reports • Criminal Searches • API • FCRA Compliance
August 9
🏢 In-office - San Francisco
We're building a fairer future by designing technology to create opportunities for all.
Background screening • Motor Vehicle Reports • Criminal Searches • API • FCRA Compliance
• Building and managing ML/AI algorithms, processes, and tools for Checkr's products and features. • Collaborating closely with product and engineering teams to design, develop, and deploy innovative ML/AI models and algorithms. • Partnering with product teams to embed and scale ML/AI capabilities within external product offerings. • Conducting thorough data analysis and preprocessing for scalable ML models. • Evaluating and optimizing the performance of machine learning models. • Working with various stakeholders to understand business requirements and translate them into technical solutions. • Keeping abreast of advancements in machine learning and applying innovative techniques.
• Industry experience: 7+ years, especially in roles focused on machine learning. • Regression-based problem-solving: Proven ability to solve regression-based problems, enhancing business insights and operational efficiency. • Production-ready NLP systems: Experience building NLP systems that are ready for production, demonstrating expertise in natural language processing. • Distributed systems: A solid background in working with distributed systems, ensuring scalability and reliability of solutions. • Programming skills: Proficiency in Ruby or Python, enabling seamless implementation and integration of your solutions. • ML frameworks: Hands-on experience with building and designing experiments to evaluate different ML/AI algorithms (including deep learning). • GenAI: Knowledge of generative AI, fine tuning and AI design patterns is a plus. • Data manipulation and analysis: Proficiency with Pandas and sci-kit learn, essential for data preprocessing and model evaluation. • Educational background: BSc, MSc, or PhD in Computer Science, Mathematics, or a related technical field, providing a strong foundation in technical knowledge and problem-solving skills.
• 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
Apply Now