Machine Learning Engineer
- Seattle, United States
Posted yesterday
About the role
Job Overview
We are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking team. In this role, you will be at the forefront of developing, implementing, and optimizing advanced machine learning models and AI solutions. Your expertise will drive data-driven decision-making, enhance predictive analytics, and support scalable AI applications across diverse platforms. This position offers an exciting opportunity to work with cutting-edge technologies in big data systems, cloud services, and natural language processing to shape the future of intelligent solutions.
Duties
- Design, develop, and deploy machine learning models utilizing frameworks such as TensorFlow and other AI tools to solve complex business problems.
- Implement scalable data pipelines using ETL processes and big data systems like Hadoop and Spark to prepare data for analysis and model training.
- Conduct statistical modeling and analysis to extract insights from large datasets, supporting research and strategic initiatives.
- Collaborate with cross-functional teams to integrate AI models into production environments using cloud services such as AWS and machine learning cloud platforms.
- Optimize model performance through rigorous evaluation, tuning, and validation techniques including model evaluation metrics and predictive modeling analysis.
- Develop natural language processing applications to enhance text analysis capabilities within products or research projects.
- Maintain comprehensive documentation of algorithms, processes, and system architecture while ensuring scalability and robustness of deployed models.
Skills
- Proficiency in programming languages such as Python, Java, C, R, and Bash (Unix shell) for data analysis, model development, and automation tasks.
- Extensive experience with machine learning frameworks including TensorFlow, Spark implementation, and generative AI techniques.
- Strong knowledge of big data technologies like Hadoop, Spark, Talend, and SQL databases for efficient data mining and analytics.
- Expertise in statistical analysis tools such as SAS or R for research-driven insights and statistical modeling.
- Hands-on experience with AI implementation in cloud environments like AWS or other machine learning cloud services for scalable deployment.
- Familiarity with database design principles, SQL query optimization, and data analytics to support complex data workflows.
- Understanding of natural language processing (NLP), AI models development, model training strategies, evaluation methods, and deployment best practices.
- Knowledge of data integration tools such as Talend for efficient ETL workflows; experience with Looker for data visualization is a plus.
- Ability to work on large-scale big data systems involving scalability challenges in real-time analytics environments.
Join us to leverage your expertise in machine learning/AI-based analysis to revolutionize how data transforms into actionable insights!
Pay: $192,000.00 - $229,000.00 per year
Benefits:
- 401(k)
- Flexible spending account
- Parental leave
- Relocation assistance
Work Location: In person