HOPPR

ML Engineer

HOPPR

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPandasPythonPyTorchSQLTensorflowTerraform

About the role

  • Develop, deploy, and maintain state-of-the-art machine learning models for medical imaging, NLP, and multimodal tasks.
  • Design and implement robust, scalable ML pipelines and shared infrastructure to support agile experimentation and deployment.
  • Collaborate with researchers to translate novel algorithms into production-ready solutions.
  • Build and maintain MLOps tools and practices, including automated testing, continuous integration, and monitoring of deployed models.
  • Optimize model performance for speed, reliability, and scalability in production environments.
  • Partner with clinicians, engineers, and product teams to align machine learning efforts with clinical and product needs.
  • Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.

Requirements

  • Master’s or PhD in Computer Science, Engineering, or a related field with 3+ years' experience in relevant roles. Senior and Principal roles considered based on experience.
  • Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow.
  • Strong understanding of MLOps practices, including model deployment, CI/CD pipelines, and performance monitoring.
  • Experience working with cloud platforms (e.g., AWS, GCP, Azure) and tools like Docker, Kubernetes, or Terraform.
  • Knowledge of data engineering principles, including data manipulation tools like SQL and pandas.
  • Familiarity with healthcare data and clinical workflows is a plus.
  • Exceptional problem-solving skills, ownership mindset, and a collaborative approach.
Benefits
  • Competitive base salary + equity.
  • Generous benefits: medical/dental/vision, 401k, PTO, and parental leave.
  • Remote first with hybrid options available at our NYC and SF Bay Area offices.
  • An innovative, collaborative, and supportive work environment.
  • Incredible teammates who inspire growth and learning.
Applicant Tracking System Keywords

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

Hard Skills & Tools
machine learningPythonPyTorchTensorFlowMLOpsCI/CDdata engineeringSQLpandas
Soft Skills
problem-solvingownership mindsetcollaborative approach
Certifications
Master’s degreePhD