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Remote Machine Learning Compiler Engineer Jobs in Davie, FL

Varsity Tutors

Machine Learning Tutor

Sunrise, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Coral Gables, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cooper City, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Miramar, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Doral, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Fort Lauderdale, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Hialeah, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Miami Beach, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Miami, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

OneStream

AI Engineer

Fort Lauderdale, FL · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Motorola

Senior DevOps Engineer (US REMOTE)

Plantation, FL · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Cisco

Senior Software Engineer (Remote)

Miami, FL · Remote

$117K - $154K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ...

YO AI Labs

AI Data Scientist Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Science Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Davie, FL

Remote Machine Learning Compiler Engineer information

See Davie, FL salary details

$68.7K

$153.4K

$187.8K

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

As of Aug 28, 2026, the average yearly pay for remote machine learning compiler engineer in Davie, FL is $153,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $187,800.00 per year, depending on experience, location, and employer.

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.

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 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 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 job categories do people searching Remote Machine Learning Compiler Engineer jobs in Davie, FL look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Davie, FL are:

What cities near Davie, FL are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Davie, FL with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you

Machine Learning Engineer (3D Vision)

FitMatch

Fort Lauderdale, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

We are seeking a visionary, highly skilled, and impact-driven Computer Vision Engineer (3D-focused) to join our Data Science team. This is a role designed for a creative problem solver and technical thought leader-someone who looks at complex, high-dimensional data and translates it into real-world human outcomes.
In this role, you will own the mission of transforming raw 3D body scan data, measurement features, and body composition metrics into actionable insights. Your work will directly impact cutting-edge healthcare applications and optimize performance tracking for both adolescent and professional athletes in the sports/fitness space. If you want to move beyond passive model training and actively pioneer solutions to real-world physical challenges, this is your sandbox.
Note: This position is a contract-to-hire opportunity
Key Responsibilities (Driving Innovation)
  • Architect & Pioneer: Develop, train, and deploy advanced machine learning and deep learning models for complex spatial analysis of 3D human body scans. You will move fluidly from zero-to-one prototyping to production infrastructure.
  • Build from Truth: Work directly with ground truth 3D data to creatively build high-performance, robust predictive models that solve tangible physiological pain points.
  • Cross-Disciplinary Integration: Synthesize 3D spatial features with multi-modal metadata, including biometrics, demographic information, and self-reported health outcomes to reveal comprehensive health insights.
  • Unlocking Complex Data: Design and implement novel algorithms for feature extraction and dimensionality reduction from irregular mesh or point cloud data.
  • Scientific Rigor & Validation: Conduct comprehensive statistical validation and A/B testing of models and deployed features to ensure real-world efficacy and safety.
  • Collaborative Thought Leadership: Act as a technical partner alongside software engineers and domain experts (such as clinicians and biomechanical engineers) to scale and integrate solutions directly into production.
  • Data Storytelling: Generate clear, compelling visualizations and reports that effectively communicate nuanced, complex analytical results to both technical teams and non-technical stakeholders.

About You
  • The Problem-Solver Mindset: You are energized by tackling ambiguous, complex technical challenges and excel at manipulating data in all its forms-especially 3D and spatial data.
  • The Innovator's Foundation: You bring a bulletproof foundation in Python, machine learning, and scientific computing, paired with an insatiable curiosity, creativity, and a proactive, hands-on approach to building solutions.
  • Real-World Impact Focus: You don't just optimize metrics in a vacuum; you care deeply about how your models perform when applied to a real human body.

Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field.
  • Experience: Minimum of 3+ years of professional experience as a Data Scientist or Machine Learning/Computer Vision Engineer, with a focus on high-dimensional or spatial data domains.
  • Execution: A proven track record of autonomous ownership-taking a model all the way from initial research/prototype to live production deployment.

Programming & Infrastructure
  • Python Mastery: Expert-level Python and full command of its scientific computing stack.
  • Data & Math Foundations: Deep proficiency with data manipulation libraries like Pandas and NumPy , alongside scientific computing tools like SciPy and Scikit-learn.
  • Infrastructure Autonomy: High proficiency in Linux/Unix-based terminal interfaces and cloud shell environments (AWS, GCP, or Azure CLI). You should be fully capable of managing compute resources, automating workflows, and troubleshooting cloud infrastructure directly from the command line.

Machine Learning & Vision
  • Deep Learning Frameworks: Production experience utilizing PyTorch and/or TensorFlow/Keras.
  • Statistical Rigor: A strong background in statistical modeling, predictive modeling, and experimental design.
  • 3D Geometry Processing: Direct experience handling computer vision tasks relevant to 3D geometry, such as registration, segmentation, and shape analysis.
  • Spatial Statistics: Strong familiarity with spatial statistics and specialized techniques for analyzing geometric features.

Preferred Skills (The Toolset of a Thought Leader)
  • Advanced Geometric Deep Learning: Knowledge of cutting-edge geometric deep learning techniques (e.g., PointNet, CNN, DGCNN, GCNs/Graph Neural Networks) for processing irregular 3D structures.
  • 3D Frameworks: Hands-on experience working with 3D point clouds and/or mesh data structures (e.g., PLY, OBJ, USDZ, STL formats).
  • Processing Libraries: Familiarity with modern libraries for geometric processing and visualization, such as Open3D, PCL (Point Cloud Library), or Trimesh.
  • Modern MLOps: Scaled deployment experience using Docker and Kubernetes.
  • Creative Prototyping: Experience with 3D modeling and asset creation in Blender for synthetic data generation or visualization.

Compensation, Perks & Benefits
  • Generous PTO policy + 12 paid US holidays
  • Medical, dental, and vision insurance for you and your family
  • Paid Parental Leave
  • 401k
About Us
Fit:Match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry as a whole make significant strides towards sustainable apparel retail. We are looking for people who share the same passion.
Fit: Match is backed by an investor group including experienced angel investors, institutional firms, and multi-billion dollar retailers. The best part of working at Fit:Match is, without a doubt, the people. We pride ourselves on hiring team members who embody our people characteristics of low ego, collaboration, dependability, and proven domain expertise. At Fit:Match, you would work cross-functionally with another top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. We obsess over growth, speed, and accuracy. We love a scrappy idea, an out-of-the-box growth hack, and live for reimagining and trying new things.
Department Engineering Locations Fort Lauderdale, New York, NY, San Francisco, CA, Seattle, WA Remote status Fully Remote

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