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Remote Machine Learning Compiler Engineer Jobs in Florida

Lee Health

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Masters degree in Computer Science, Machine Learning, or related discipline preferred. Experience ...

Lee Health

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering ...

Lockheed Martin

Senior AI Engineer

Orlando, FL · On-site +1

$97K - $133K/yr

... using machine learning and feature engineering techniques
 • Deploying AI capabilities and ... remote, we offer flexible work schedules to comprehensive benefits investing in your future and ...

Eliassen Group

Senior AI/ML Engineer

Tallahassee, FL · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

AMPERA INC

AI / Software Engineer

Palm Beach Gardens, FL · On-site +1

... to remote or defense operations. As a rapidly growing company, AMPERA merges the agility of a ... This role will focus on applying machine learning, automation, and high-performance computing to ...

AMPERA INC

AI Software Engineer

Palm Beach Gardens, FL · On-site +1

... to remote or defense operations. As a rapidly growing company, AMPERA merges the agility of a ... This role will focus on applying machine learning, automation, and high-performance computing to ...

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Remote Machine Learning Compiler Engineer information

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Compiler Engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Florida? The most popular types of Machine Learning Compiler Engineer jobs in Florida are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Florida? For Remote Machine Learning Compiler Engineer jobs in Florida, the most frequently searched job titles are:
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What cities in Florida are hiring for Remote Machine Learning Compiler Engineer jobs? Cities in Florida with the most Remote Machine Learning Compiler Engineer job openings:
Remote Machine Learning Compiler Engineer jobs near you
Cloud Engineer - Azure

Cloud Engineer - Azure

Lee Health

Fort Myers, FL • On-site, Remote

$78K - $101K/yr

Full-time

Posted 19 days ago

Lee Health rating

6.9

Company rating: 6.9 out of 10

Based on 190 frontline employees who took The Breakroom Quiz

448th of 874 rated healthcare providers

Job description

Location: Remote - Florida

Department: IS Information Technology Svcs

Work Type: Full Time

Shift: Shift 1/8:00:00 AM to 4:30:00 PM

Minimum to Midpoint Pay Rate:$78,457.60 - 101,982.40 / Annual

Summary

Lee Health is seeking an innovative Cloud Engineer to design, build, and maintain secure, scalable, and high-performing cloud systems that power our digital and AI transformation. In this role, youll architect and manage cloud infrastructure across private, public, and hybrid environmentsenabling advanced data management, automation, and application deployment. Collaborating with IT, AI, and data science teams, youll play a pivotal role in building and optimizing cloud environments for artificial intelligence, machine learning, and cognitive computing initiatives.

If youre passionate about driving innovation through cloud engineering and emerging technologies, this is an exceptional opportunity to shape the next generation of healthcare technology.

What Youll Do

  • Design & Build: Develop scalable, secure, and cost-effective cloud architectures using AWS, Azure, or GCP.

  • Migrate & Modernize: Lead cloud migration projects for data, systems, and applications while ensuring minimal disruption.

  • Automate & Optimize: Implement Infrastructure-as-Code (IaC), automate deployment pipelines, and streamline configuration management.

  • Innovate with AI: Partner with data science and AI teams to develop infrastructure for AI/ML experimentation and production deployment.

  • Ensure Compliance & Security: Maintain adherence to data privacy standards, IAM, encryption, and regulatory compliance (HIPAA, HITRUST).

  • Monitor & Improve: Oversee cloud utilization, troubleshoot performance issues, and develop disaster recovery strategies.

  • Collaborate & Lead: Act as a bridge between development and infrastructure teams, fostering a DevSecOps culture and continuous improvement mindset.

Qualifications

Education:

  • Bachelors degree in Computer Science, Engineering, or related field required.

  • Masters degree in Computer Science, Machine Learning, or related discipline preferred.

Experience:

  • 2+ years designing, building, and supporting private or hybrid cloud environments.

  • Proven experience with DevOps and automation (IaC, CI/CD, scripting in PowerShell, Python, or Shell).

  • Strong grasp of cloud security, IAM, networking, and monitoring tools.

  • Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering concepts.

  • Experience supporting AI/ML model deployment, fine-tuning, or integration is a plus.

  • Familiarity with healthcare data standards (HIPAA, HL7, FHIR) preferred.

Certifications (one or more required):

  • Microsoft Certified Azure AI Fundamentals or AI Engineer Associate

  • AWS Certified Machine Learning Engineer

  • Microsoft Azure Security Certification

Preferred Certifications:

  • HITRUST Practitioner, NIST AI RMF Architect, or Artificial Intelligence Engineer Certification

Why Join Lee Health

At Lee Health, innovation meets compassion. As we advance our journey toward smarter, data-driven healthcare, youll have the opportunity to work with emerging technologies, contribute to transformative AI initiatives, and make a lasting impact on patient care. Join a health system recognized for excellence, collaboration, and continuous learning.

What Lee Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Lee Health

Sourced by ZipRecruiter

Lee Health is one of the largest public health systems in the U.S. and one of the largest not-for-profit public health systems in Florida. With 4 acute care hospitals; Lee Memorial, Healthpark Medical Center, Cape Coral Hospital and Gulf Coast Medical Center, two specialty hospitals; Gaisano Children's Hospital and The Rehab Hospital. Lee Physician Group with over 80 practices throughout Southwest Florida, a Regional Cancer Center, seven outpatient centers, three walk-in clinics and two pediatric outpatient facilities. HEALTHGRADES ranks Lee Healths four acute care hospitals in the top 5% in the nation for overall clinical excellence in 2019, 2020, 2021 AND 2022 and is included in America's 250 Best Hospitals

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Fort Myers, FL, US

Year founded

1916

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