Senior Staff Machine Learning Engineer - Remote

Overview

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.

In Short

• 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.

Requirements

• Strong background in machine learning and data science.
• Experience with building and deploying ML models in production.
• Proficiency in programming languages such as Python or Java.
• Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
• Experience with data pipeline tools and frameworks.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working hours and remote work options.
• Opportunities for professional development and growth.
• Inclusive and diverse workplace culture.
• Health and wellness benefits.