Qualifications

• 1+ year of experience building and optimizing machine learning (ML) systems.
• 1+ year of experience with data gathering and preparation for ML models.
• 2+ years of developing performant and maintainable code.
• Experience with cloud platforms like AWS, Azure, or Google Cloud for ML deployment.
• 3+ years of experience with distributed file systems and multi-node databases.
• 3+ years building production-ready data pipelines for ML models.
• Experience designing and evaluating complex data pipelines for ML.

Responsibilities

• Design and deliver ML models that address business challenges in collaboration with Product and Data Science teams.
• Utilize in-depth knowledge of ML techniques to guide infrastructure decisions.
• Write, test, and automate application code while developing and validating ML models.
• Collaborate with an Agile team to enhance software for big data and ML applications.
• Retrain and monitor models post-deployment to ensure performance.
• Leverage cloud technologies to optimize ML model delivery at scale.
• Construct and optimize data pipelines for effective ML model input.
• Implement continuous integration and deployment best practices for ML applications.

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage including dental and vision.
• Family support with maternal and parental leaves.
• Insurance options for auto, home, and identity theft protection.
• Convenience benefits for commuting and professional development reimbursement.
• Paid time off including vacation and sick leave.
• Legal and financial assistance programs, including a 401K plan.