Top Machine Learning Jobs

Senior Machine Learning Engineer responsible for designing and implementing recommendation systems to enhance user engagement and satisfaction through personalized content recommendations. Will work on system architecture, data preprocessing, model training, measurement feedback, and operational excellence. Requires 5+ years of experience in large-scale recommendation systems, proficiency in Python, familiarity with TensorFlow, PyTorch, GPU optimization, and cloud platforms.

Design, build, and maintain robust, scalable data pipelines for ML model development. Collaborate with ML engineers and data scientists to implement solutions for effective model training. Ensure data quality, security, and compliance. Mentor junior team members and stay updated on emerging technologies in data engineering and machine learning.

Lead Machine Learning Engineer responsible for designing, building, and delivering ML models and components to solve real-world business problems. Collaborate with cross-functional teams to enhance software for big data and ML applications. Develop and validate ML models, automate tests, deploy models, and maintain models in production. Utilize cloud-based architectures, continuous integration, and continuous deployment best practices. Ensure code quality and model governance following Responsible and Explainable AI principles. Proficiency in Python, Scala, and Java is required.

Lead Security Engineer at JPMorgan Chase responsible for developing and implementing bespoke data models and algorithms in the realm of AI, ML, and cybersecurity. Coordinate with functional teams, establish processes for monitoring model performance, and recommend business modifications during periods of vulnerability. Required qualifications include formal training in security engineering concepts and 5+ years of applied experience in developing ML pipelines.

As a Senior Machine Learning Ops Engineer at Klaviyo, you will be responsible for developing tools to train and develop machine learning models, serve models in production, monitor models' performance, and support the DS Platform team in building cutting edge models for Klaviyo's advanced features. You will work with a modern software stack including Kubernetes, Sagemaker, MLFLow, Spark, and Ray, leveraging technologies like PyTorch, ScikitLearn, and Huggingface. The role is based in Boston with a weekly onsite component.

Quality Engineering role working on Machine Learning technologies, involving test automation, analyzing results, creating test plans, and supporting engineering organizations.

Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community through publications, deep knowledge in multiple ML methodologies, and production experience with ML-frameworks.