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Remote Machine Learning Compiler Engineer Jobs in Winter Haven, FL

micro1 AI

AI Trainer - Microbiology Expert

Lakeland, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Consor Engineers

Proposal Coordinator

Kissimmee, FL · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Consor Engineers

Proposal Coordinator

Kissimmee, FL · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Winter Haven, FL

Remote Machine Learning Compiler Engineer information

See Winter Haven, FL salary details

$65.6K

$146.4K

$179.3K

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

As of Aug 3, 2026, the average yearly pay for remote machine learning compiler engineer in Winter Haven, FL is $146,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $179,300.00 per year, depending on experience, location, and employer.

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 job categories do people searching Remote Machine Learning Compiler Engineer jobs in Winter Haven, FL look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Winter Haven, FL are:
What cities near Winter Haven, FL are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Winter Haven, FL with the most Remote Machine Learning Compiler Engineer job openings:
Remote Machine Learning Compiler Engineer jobs near you

Marketing Analytics Data Scientist

Publix Super Markets, Inc.

Lakeland, FL • Remote

Other

Re-posted 9 days ago

Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,659 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores

Job description

Publix is able to offer virtual/remote employment for this position in the following states: FL, GA, AL, TN, SC, NC, VA, KY
This role is responsible for developing and deploying advanced data science and machine learning solutions that drive business performance, enhance customer personalization, and optimize pricing, merchandising, and promotional strategies. The position leverages large-scale data analysis, predictive modeling, and AI-driven systems to generate insights, automate decision-making, and improve customer engagement across channels.
Additional responsibilities include:
  • developing and implementing scalable Data Science Analytical Solutions that rely on machine learning and artificial intelligence to automate and optimize key business processes and help improve efficiency and financial results
  • providing research-based consultation and recommendations regarding the personalization of customer interfaces with Publix
  • contributing to the design and measurement of customer personalization programs at the Marketing channel, omni-channel, product hierarchy, and store level
  • analyzing customer, transaction, and campaign data to identify trends and patterns in marketing campaign performance and/or customer behavior
  • building learning systems that monitor data flows and react to changes in customer preferences, network constraints, and business objectives
  • manipulate large datasets to discover and extract meaningful business information using data mining, statistics, and machine learning techniques
  • developing scalable, efficient processes for large scale data analyses, model development and model implementation
  • analyzing and troubleshooting highly complex systems for accuracy, performance improvement and integration with changes to other enterprise systems

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