Plenful
Senior Machine Learning Backend Engineer
Plenful, San Francisco, California, United States, 94199
Senior Machine Learning Backend Engineer
at
Plenful
About Plenful Plenful is on a mission to transform healthcare operations from the inside out. Fresh off our $50M Series B and backed by Bessemer Venture Partners, Notable Capital, TQ Ventures, Susa/Kivu Ventures, and other leading investors, we’re building the category‑defining AI agentic operating platform that healthcare teams rely on to operate smarter, faster, and more efficiently. Our technology empowers healthcare operators across hospital and health systems, pharmacies, and payors to eliminate manual work, reduce administrative burden, and improve compliance, all while unlocking critical revenue to fund programs for their in‑need patient populations.
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
4+ 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.
Perks
Unlimited PTO, health insurance, meal stipend, health & wellness stipend, team offsites, 401(k) matching, and stock options.
Opportunities to develop partnership acumen by working with seasoned leaders.
Location: San Francisco, CA
Salary: $149,998.00‑$250,000.00
Employment type: Full‑time
Seniority level: Mid‑Senior level
Job function: Engineering and Information Technology
#J-18808-Ljbffr
at
Plenful
About Plenful Plenful is on a mission to transform healthcare operations from the inside out. Fresh off our $50M Series B and backed by Bessemer Venture Partners, Notable Capital, TQ Ventures, Susa/Kivu Ventures, and other leading investors, we’re building the category‑defining AI agentic operating platform that healthcare teams rely on to operate smarter, faster, and more efficiently. Our technology empowers healthcare operators across hospital and health systems, pharmacies, and payors to eliminate manual work, reduce administrative burden, and improve compliance, all while unlocking critical revenue to fund programs for their in‑need patient populations.
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
4+ 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.
Perks
Unlimited PTO, health insurance, meal stipend, health & wellness stipend, team offsites, 401(k) matching, and stock options.
Opportunities to develop partnership acumen by working with seasoned leaders.
Location: San Francisco, CA
Salary: $149,998.00‑$250,000.00
Employment type: Full‑time
Seniority level: Mid‑Senior level
Job function: Engineering and Information Technology
#J-18808-Ljbffr