Machine Learning Engineer

5+ years in ML engineering, data science, or related role at a high-growth tech company
Expert in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch)
Hands-on experience with recommendation systems, search algorithms, personalization engines, or dynamic-pricing models
Proficient with SQL, data-processing frameworks (Spark, Beam), and cloud services (AWS SageMaker, GCP AI Platform)
Strong statistical foundations and practice designing robust experiments
Excellent communicator: distills complex technical work into clear insights for both technical and non-technical stakeholders
Proven track record of cross-functional collaboration and iterative delivery

Develop ML algorithms for search ranking, content recommendation, personalized user experiences, and dynamic pricing
Implement scalable data pipelines and feature stores to support real-time inference
Partner with software engineers to deploy models via microservices and serverless architectures
Work with product teams to translate business goals into technical requirements
Design and analyze A/B tests to validate model improvements
Instrument monitoring and alerting for model performance, data drift, and business impact
Profile and optimize model latency, throughput, and resource utilization
Leverage cloud and big-data tools for large-scale training and inference

Prior experience at a multi-sided marketplace, e-commerce, or hospitality tech
Familiarity with MLOps tools (Kubeflow, MLflow), feature-store platforms, or real-time inference frameworks
Background in algorithmic pricing, yield management, or revenue-management systems