Staff Machine Learning Engineer

Staff Machine Learning Engineer

This is a remote position. We are seeking a Staff Machine Learning Engineer to join out team. The Staff Machine Learning Engineer will set the technical direction of their team to build and deploy machine learning solutions. They will work closely with Product and Engineering partners in the development of the solution. Responsibilities: Design and test machine learning models to create highly accurate systems used in operations. Write production quality code. Take ownership of key components ensuring that they meet the needs of the business. Collaborate with senior management product management and other engineers in the development of product. Mentor team members to build the company s overall expertise.





Requirements 7 years of industry experience in applied Machine Learning. Masters Degree or PhD in CS / ML or related field. 5 years experience in building deploying and managing machine learning and deep learning models in production environments at scale. Deep understanding of ML best practices (A/B testing training/serving pipelines feature engineering etc) algorithms/techniques (gradient boosting deep neural networks optimization regularization) and experiment design. Experience in at least one of these domains: price estimation personalization recommender systems computer vision fraud detection and authentication marketing. Extensive experience in scientific libraries in Python (numpy pandas) and Machine Learning tools and frameworks (ScikitLearn Tensorflow Keras PyTorch). Strong data engineering ss and experience working with large scale datasets. Experience with big data tools (Apache Beam Apache Kafka Spark). Experience with cloud technologies AWS GCP or Azure. Fluency in Python SQL. Preferred Requirements: PhD preferred (CS ML AI or related field)





Background in applying ML techniques to solve realworld business problems in the retail sector. Familiarity with MLOps tools and pipelines. Impactfocused and pionate about delivering highquality models. Demonstrated leadership experience with the ability to lead and inspire a team. Benefits Work Location: Remote 5 days working 7+ years of industry experience in applied Machine Learning. Masters Degree or PhD in CS / ML or related field. 5+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale. Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization),





and experiment design. Experience in at least one of these domains: price estimation, personalization, recommender systems, computer vision, fraud detection and authentication, marketing. Extensive experience in scientific libraries in Python (numpy, pandas) and Machine Learning tools and frameworks (Scikit-Learn, Tensorflow, Keras, PyTorch). Strong data engineering ss and experience working with large scale datasets. Experience with big data tools (Apache Beam, Apache Kafka, Spark). Experience with cloud technologies AWS, GCP or Azure. Fluency in Python, SQL. Education Bachelor's degree in Computer Science or a related field is preferred.