Staff Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with teams from Data Science, Data Engineering, Cloud Center of Excellence, DevOps, and Delivery Platforms to ensure that machine learning engineering solutions align with business goals.

• Utilize AWS, Databricks, Spark, and big data technologies to create scalable machine learning solutions for millions of users.

• Develop automated data and modeling pipelines while integrating and deploying machine learning software features.

• Lead the optimization of CI/CD workflows to enhance scalability and resilience.

• Identify and troubleshoot issues and bugs, addressing Application Security vulnerabilities in collaboration with the Application Security and CCOE teams.

• Promote the adoption of machine learning engineering best practices across various teams.

• Contribute to the development of formal training programs and materials for the adoption of MLE tools.

• Engage in cross-functional meetings and discussions to offer feedback, requirements, and inquiries.

• Architect, develop, and optimize machine learning models, infrastructure, and solutions.

• Enhance product features and improve the machine learning infrastructure.

⛳️ Requirements

• Bachelor’s degree with 8 years of experience in machine learning engineering or a related field in software companies; or an advanced degree with 3 years of proven success in machine learning engineering or similar experience.

• Experience in developing production-grade machine learning models and infrastructure using Python.

• Strong expertise in advanced Python and big data technologies.

• Familiarity with cloud infrastructure such as AWS, GCP, or Azure.

• Experience with Infrastructure as Code tools like CDK or Pulumi.

• Ability to leverage machine learning engineering to achieve business outcomes.

• Capacity to translate business challenges into machine learning engineering problems and effectively communicate results to non-technical stakeholders.

• Collaborative work style and openness to share ideas.

• Ability to work independently and deliver high-quality results.

• Strong grasp of data engineering and software engineering principles.

• Self-motivated, adaptable, and detail-oriented.

• Capability to sit at a desk or workstation for 7–8 hours a day.

• Proficiency in operating computers, phone systems, and multiple software applications simultaneously.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

• Disability insurance

• 401(k) match

• Career development

• Annual bonus eligibility

• Restricted stock unit grant based on individual performance

• Full range of benefits