Align Technology

ML Engineer

Align Technology

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSPythonTerraform

About the role

  • Pipeline Architecture & Automation: Lead the migration of our modeling workflows from notebooks and scripts to fully automated, production-grade ML pipelines. You will define how we train, version, and deploy models at scale.
  • Privacy Engineering: Collaborate with Data Engineers to design and enhance our privacy-preserving data pipelines. You will be responsible for ensuring that PII is detected and anonymized effectively before it reaches our training environments or is retained.
  • Infrastructure as Code: Champion the use of AWS CDK (or Terraform) to define our ML infrastructure, ensuring our training and inference environments are reproducible and resilient.
  • Model Expansion: Collaborate with the CDO to expand our technical capabilities, including building the foundation for multi-lingual fraud detection and hybrid rule-based/ML systems.
  • Operational Excellence: Implement best practices for MLOps, including automated rollback strategies, drift detection, and continuous performance monitoring.

Requirements

  • 3-5 Years of Experience: Proven background in Machine Learning Engineering (or Data Science with a heavy software engineering focus).
  • SageMaker Native: Deep expertise within the AWS ML ecosystem, specifically in migrating workflows from SageMaker Studio Notebooks to automated Pipelines.
  • Strong Python Engineering: You write clean, modular, and tested code. You are comfortable refactoring "research code" into production-grade software.
  • MLOps Fundamentals: Experience implementing CI/CD for machine learning, including automated rollback strategies and model drift detection.
  • Infrastructure as Code: Hands-on experience defining infrastructure using AWS CDK or Terraform.
  • Nice-to-Have: Familiarity with Named Entity Recognition (NER) for PII redaction and working with modern text classification architectures (BERT, RoBERTa).
Benefits
  • Health & Wellness: Medical (BC-BS), dental, and vision plans to suit your needs.
  • Paid Time Off: Generous PTO, paid holidays, and increasing PTO based on years of service.
  • Retirement Savings: 401(k) plan with company match and auto-enrollment.
  • Company-Paid Coverage: Short-term and long-term disability, life insurance, and AD&D insurance.
  • Additional Options: Voluntary benefits including pet insurance and student loan assistance up to $1,000 annually.
  • Perks: FSAs, HSAs, wellness programs, and more to enhance your work-life balance.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Machine Learning EngineeringPythonMLOpsCI/CDNamed Entity RecognitionBERTRoBERTaAWS CDKTerraformAutomated Pipelines
Soft skills
CollaborationLeadershipProblem-solvingCommunicationOrganizational skills