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Staff Machine Learning Engineer Remote Jobs (NOW HIRING)

Staff Engineer, Machine Learning Operations The Staff Engineer, Machine Learning Operations will architect, own, and scale the machine learning infrastructure and deployment pipelines that power ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

Role We are looking for a Staff Machine Learning Engineer to help us build a best in class ML ... This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ...

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Staff ML Engineer About the Role We're hiring a Staff ML Engineer to build and deploy production-grade machine learning systems that reshape decision-making in the title insurance and real estate ...

As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic ... This is a remote position open to candidates residing in the United States. This position requires ...

Staff Machine Learning Engineer

Santa Clara, CA · On-site +1

$176K - $308K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Design, train, and evaluate machine learning models and AI systems that drive meaningful business ... Foster a culture of collaboration and learning across engineering, product, and design through ...

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Staff Machine Learning Engineer

Santa Clara, CA · On-site +1

$176K - $308K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

As a Senior Machine Learning Engineer forOn-Device & Mobile AI, you will take state-of-the-art multi-modal models - transformers,diffusion networks, and vision-language models (VLMs) - and make them ...

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Staff Machine Learning Engineer Remote information

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$23K

$99.3K

$192.5K

How much do staff machine learning engineer remote jobs pay per year?

As of Sep 11, 2026, the average yearly pay for staff machine learning engineer remote in the United States is $99,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $125,000.00 per year, depending on experience, location, and employer.

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Staff Machine Learning Engineer

Remote

Monogram Health
Health Care and Social Assistance • 51 - 200 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Position: Staff Engineer, Machine Learning Operations
The Staff Engineer, Machine Learning Operations will architect, own, and scale the machine learning infrastructure and deployment pipelines that power Monogram's operational and clinical initiatives. Operating with full autonomy, you'll establish MLOps excellence, mentor engineering teams, and drive strategic technical decisions that directly impact patient outcomes. This role requires a seasoned engineer who can balance innovation with production reliability while building systems that handle healthcare's most sensitive and complex data.
Responsibilities
  • Architect and maintain enterprise-grade ML infrastructure, including model versioning, automated testing frameworks, containerization strategies, CI/CD pipelines, and comprehensive monitoring systems for model performance, data quality, and drift detection.
  • Drive MLOps strategy and standards across the organization. Mentor data scientists and engineers on production best practices, system design, and scalable architecture patterns.
  • Own the complete journey from model development through production deployment, including real-time and batch inference systems, A/B testing frameworks, and automated retraining pipelines.
  • Collaborate with clinical leaders, product teams, and data scientists to translate complex healthcare requirements into robust, scalable ML solutions. Present technical strategies to executive stakeholders.
  • Build fault-tolerant, compliant systems that meet healthcare security and privacy standards. Establish SLAs, incident response protocols, and disaster recovery procedures for mission-critical ML services.
  • Evaluate and integrate cutting-edge MLOps tools and practices. Design systems that scale with Monogram's growth while reducing operational overhead and improving model iteration velocity.

Position Requirements
  • Bachelor's degree in computer science, engineering, or related field required; master's degree preferred
  • Minimum of ten (10) years in software engineering with five (5) years focused on ML infrastructure, MLOps, or production ML systems and Python development with strong software engineering fundamentals and three (3) years architecting and deploying production ML systems on cloud platforms (Azure preferred)
  • Proven track record building and scaling ML platforms from the ground up
  • Healthcare or regulated industry experience strongly preferred
  • Expert-level proficiency with MLOps tooling (MLflow, Kubeflow, SageMaker, Azure ML, etc.)
  • Deep experience with containerization (Docker, Kubernetes), orchestration tools (Airflow, Prefect), and infrastructure-as-code (Terraform, ARM templates)
  • Advanced knowledge of CI/CD systems, automated testing strategies, and GitOps workflows
  • Data engineering skills: SQL, Spark/PySpark, Databricks, data pipeline optimization
  • Expertise in model monitoring, observability, feature stores, and experiment tracking at scale
  • Production experience with both batch and real-time inference architectures
  • Understanding of healthcare data standards (FHIR, HL7, claims data) is a plus
  • Demonstrated ability to influence technical direction and mentor senior engineers
  • Proven communication skills with ability to distill complex technical concepts for diverse audiences
  • Track record of driving consensus on architectural decisions across multiple stakeholders
  • Systems thinking skills with focus on reliability, scalability, and maintainability preferred
  • Understanding of security, compliance, and privacy requirements in healthcare (HIPAA) preferred
  • Bias toward action with pragmatic approach to technical debt and iterative improvement preferred

Benefits
  • Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts
  • Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources
  • Time Off & Leave - Paid holidays, flexible vacation time/PSSL, and paid parental leave
  • Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts

About Monogram Health
Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders.
Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home.
Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.