Remote Machine Learning Engineer II

Description:

• Contribute to the design, development, and deployment of AI and ML models.
• Build scalable machine learning pipelines and platforms for advanced analytics and business intelligence.

Requirements:

• 4–6 years of experience in machine learning engineering with production deployment.
• Degree in Computer Science, Engineering, Data Science, Applied AI, or related field.
• Deep understanding of the modern AI stack and data ingestion workflows.
• 3 years of experience with AWS infrastructure, especially SageMaker and Terraform.
• Proficiency in managing workflows using Airflow or similar systems.
• Experience with MLflow, Kubeflow, or SageMaker Feature Store.
• Familiarity with model governance practices and data cataloging tools.
• Strong communication skills for conveying technical concepts to non-technical stakeholders.
• Experience in FinTech or SaaS environments is a plus.

Benefits:

• Salary range: $101,000 - $113,000, with bonuses.
• Employer-paid benefits plan and health & wellness flex account.
• Professional development account and wellness days.
• Paid holiday shutdown and extra vacation days in summer (Wave Days).
• Work from anywhere program (Get A-Wave) for up to 90 days.