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Senior Machine Learning/ Backend Engineer
Senior Machine Learning/ Backend EngineerPlenful • San Francisco, California, United States
Senior Machine Learning / Backend Engineer

Senior Machine Learning / Backend Engineer

Plenful • San Francisco, California, United States
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About the role

We are hiring an exceptional Senior Machine Learning Backend Engineer to lead the integration of advanced ML solutions into our platform. At Plenful, we believe the Engineering-Product-Design (EPD) triangle is essential to our product’s success. As a Senior ML Backend Engineer, you will own the end-to-end development of ML-driven features—designing scalable systems, deploying models into production, and ensuring performance, compliance, and reliability in healthcare workflows.

What you’ll do

  • Design, build, and maintain backend services and APIs in Python, with a focus on integrating and deploying machine learning models.
  • Architect scalable infrastructure on AWS (S3, Lambda, SQS, ECS, CloudWatch) to support ML pipelines and inference at scale.
  • Collaborate with product managers, designers, data scientists, and engineers to define and deliver ML-powered product features.
  • Deploy, monitor, and optimize ML models in production, ensuring performance, security, and compliance with HIPAA and other healthcare regulations.
  • Develop and optimize data pipelines for training, inference, and real-time decision-making.
  • Implement best practices for CI / CD, testing (Pytest), and version control (Git) to ensure reliable ML feature deployment.
  • Troubleshoot and resolve production issues across ML services, APIs, and infrastructure.
  • Document architectural decisions, ML workflows, and compliance / security practices.
  • Provide technical leadership—mentoring engineers, reviewing code, and championing backend + ML integration best practices.

What we’re looking for

  • 3+ years of professional backend development experience, with a Bachelor’s degree in Computer Science, Machine Learning, or a related field.
  • Expertise in Python for backend services and ML integration.
  • Strong applied ML experience in a SaaS context—NLP pipelines, LLM fine-tuning / evaluation, or healthcare ML applications.
  • Familiarity with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers.
  • Hands-on experience with cloud infrastructure (AWS : S3, Lambda, ECS, SQS, CloudWatch).
  • Proficiency in relational databases (PostgreSQL) and designing schemas to support ML applications.
  • Experience deploying ML models into production systems, not just research or prototyping.
  • Solid understanding of CI / CD pipelines, Git workflows, and automated testing for ML / Backend systems.
  • Proven track record of owning projects end-to-end in a fast-paced startup or B2B SaaS environment.
  • Experience in regulated industries (healthcare, HIPAA compliance) preferred.
  • Strong communication skills with the ability to translate ML concepts into product outcomes.
  • Plenful perks

  • Great benefits include unlimited PTO, health insurance, meal stipend, health & wellness stipend, team offsites, 401K matching, and stock options
  • Opportunities to further develop and refine your partnership acumen by partnering with our seasoned leaders
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