Capital One
Capital One is a financial services company that specializes in credit cards, banking, and loans. Committed to innovation, Capital One combines technology and data-driven strategies to enhance customer experiences and improve its banking services. The company also emphasizes diversity, inclusion, and a collaborative work culture while providing a wide range of job opportunities in various fields including finance, technology, and customer service.
Business Banking
Lead Machine Learning Engineer - Shopping Feed
March 8
⚔️ Virginia – Remote
💵 $175.8k - $200.7k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Capital One
Capital One is a financial services company that specializes in credit cards, banking, and loans. Committed to innovation, Capital One combines technology and data-driven strategies to enhance customer experiences and improve its banking services. The company also emphasizes diversity, inclusion, and a collaborative work culture while providing a wide range of job opportunities in various fields including finance, technology, and customer service.
Business Banking
📋 Description
• Join a dynamic remote-first engineering team in a fast-paced environment. • Support a growth-stage line of business with a startup mindset. • Build technology to save customers money. • Drive and deliver technical designs for machine learning applications at scale. • Mentor junior developers and serve as a technical bridge between product partners. • Use tools like Docker, SQL, Python, Pytorch, etc. • Ensure high availability and performance of machine learning applications. • Collaborate as part of a cross-functional Agile team.
🎯 Requirements
• Bachelor’s degree • At least 6 years of experience designing and building data-intensive solutions using distributed computing. • At least 4 years of experience programming with Python, Scala, or Java. • At least 2 years of experience building, scaling, and optimizing ML systems. • Master's or doctoral degree preferred in computer science, electrical engineering, mathematics, or similar field. • 3+ years of experience building production-ready data pipelines. • 3+ years of on-the-job experience with recognized ML frameworks. • 2+ years of experience developing performant, resilient, and maintainable code. • 2+ years of experience with data gathering and preparation for ML models.
🏖️ Benefits
• Comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting total well-being.
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