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Senior Staff Machine Learning Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of Flex. We are currently looking for a Senior Staff Machine Learning Engineer in the United States.. This role offers an exciting opportunity to lead the design and deployment of cutting-edge machine learning systems that directly impact product performance and business growth. You will be responsible for developing scalable, production-ready ML models, building robust data pipelines, and optimizing algorithms for real-world use. Collaborating with cross-functional teams, you will help translate complex business challenges into innovative ML solutions. The position emphasizes end-to-end ownership of machine learning projects, continuous model monitoring, and staying ahead of industry advancements. You will work in a collaborative, inclusive, and fast-paced environment that encourages technical excellence and experimentation.. Accountabilities. . Own the full lifecycle of machine learning projects, from data collection and preprocessing to model deployment, monitoring, and maintenance.. . Build and maintain robust, scalable data pipelines that support model development, training, and production deployment.. . Implement ML algorithms and models that meet performance, scalability, and reliability goals in production environments.. . Collaborate with data scientists, engineers, and product teams to design and deliver ML systems addressing business and product needs.. . Continuously monitor and improve model performance, including hyperparameter tuning, experimentation, and validation.. . Leverage distributed computing frameworks and cloud platforms for efficient large-scale data processing.. . Stay current on advances in ML, software engineering practices, and deployment strategies to maintain state-of-the-art solutions.. . . Master’s or Ph.D. in Computer Science, Engineering, or a related field.. . 6+ years of experience as a Machine Learning Engineer, with expertise in production-grade model development and deployment.. . Strong proficiency in Python or similar programming languages, with experience using ML libraries like TensorFlow, PyTorch, or scikit-learn.. . Experience with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks (Spark, Kubernetes).. . Proven ability to implement end-to-end ML pipelines, including data preprocessing, model deployment, and monitoring.. . Strong background in model optimization, version control, and CI/CD practices for machine learning.. . Excellent problem-solving skills and the ability to collaborate across multidisciplinary teams.. . Company Location: United States.