Machine Learning Engineer I (US) at Payscale in Remote

Summary: Payscale is a compensation innovator helping organizations scale their business with pay. They are seeking an early-career Machine Learning Engineer to optimize and deploy AI/ML models into production environments, working closely with experienced engineers and data scientists. Responsibilities: - Partner with Data Science to package models for deployment and integrate them into our products and internal services - Implement and improve ML deployment and inference workflows (batch and/or real-time), including automation and CI/CD patterns with guidance from senior engineers - Build and maintain API endpoints or services that expose model predictions, including input validation, error handling, and documentation - Write tests (unit/performance/integration) to validate model behavior and service reliability; help create repeatable validation checks and release processes - Instrument services with logging/metrics and help monitor production behavior; participate in incident triage and troubleshooting with support from the team - Contribute to performance and cost improvements through profiling and practical techniques like batching, basic caching, and efficiency-minded design - Stay current on relevant AI/ML engineering best practices and share learnings with the team Required Qualifications: - Bachelor's or master's degree in Computer Science, Engineering, or related field - 1+ years of experience (including internships/co-ops) building software in a production environment - Proficiency in Python with a focus on readable, testable code - Familiarity with core ML concepts and at least one ML framework (e.g., PyTorch, TensorFlow, scikit-learn) - Familiarity with building or consuming APIs (HTTP/JSON) and basic service development patterns - Comfort working in a collaborative environment: asking questions, communicating tradeoffs, and incorporating feedback - Willingness to learn cloud, containerization, and MLOps practices as part of day-to-day work Preferred Qualifications: - Exposure to MLOps tools or patterns (e.g., MLflow, Airflow, Kubeflow, feature stores, model registries) - Experience with containers (Docker) and/or orchestration (Kubernetes) - Experience with observability tools (e.g., Datadog, Prometheus/Grafana) and production troubleshooting - Basic performance tuning experience (profiling, async patterns, caching concepts) - Experience working with data platforms (e.g., Snowflake, Spark) or large-scale data pipelines Required Skills: Python, Machine Learning, API Development Important Skills: Docker, Kubernetes, MLOps Nice-to-Have Skills: Collaboration, Communication, Problem Solving Benefits: Flexible paid time off, giving you the opportunity to rest, relax and recharge away from work, 14 Paid Company Holidays, includes 2 floating holidays (you choose!), A comprehensive benefits plan including medical, dental, life, vision, disability, and life insurance covered up to 100% by Payscale, Unlimited infertility coverage benefits through our medical plans, Additional supplemental health benefits offered to you and your family, 401(k) retirement program with a fully vested immediate company match, 16 weeks of paid parental leave for birthing and non-birthing parents, Health Savings Account (HSA) options and company contributions each pay period, Flexible Spending Account (FSA) options for pre-tax employee allocations, Annual remote work stipend to be used on wellness or home office equipment