

CyberGolem
Machine Learning Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer (MLE) on a fully remote contract for over 6 months, with a pay rate of $95,000 - $145,000 USD DOE. Key skills include Python, C++, cloud development (AWS, Azure, GCP), and version control.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
659
-
๐๏ธ - Date
November 2, 2025
๐ - Duration
More than 6 months
-
๐๏ธ - Location
Remote
-
๐ - Contract
1099 Contractor
-
๐ - Security
Unknown
-
๐ - Location detailed
United States
-
๐ง - Skills detailed
#Azure #Model Deployment #ML (Machine Learning) #Java #C++ #Deployment #Statistics #AWS (Amazon Web Services) #GIT #Base #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Monitoring #Computer Science #Mathematics #Python #Cloud #Ruby #Security #Version Control #Leadership
Role description
Description
This is a fully remote contract role for a Machine Learning Engineer (MLE) at CyberGolem LLC. The MLOps team is non-existent so the ideal applicant will share that responsibility w/ AI Solutions & Customer Success team as-needed until resources permit more narrowly defined responsibilities. Obligatory "unicorn" emojis: โณ ๐ฉ
CyberGolem is a startup aspiring to achieve enterprise level bureaucracy and specialization of roles. Our commitment: leadership will never say "founder mode" unironically.
As CyberGolem grows, there will be opportunities to specialize and build out dedicated teams for MLOps, deployment, and optimization. Until then, we're looking for engineers who enjoy wearing multiple hats and can help shape our technical direction.
Base Salary Range
$95,000 - $145,000 USD DOE
Responsibilities
The MLE will be responsible for developing and optimizing large language model deployments through:
Model pruning and parameter quantization
LLM fine-tuning
Working on CI/CD pipelines for model deployment
Building and monitoring inference solutions that meet client requirements
Qualifications
Bachelorโs Degree in Mathematics, Computer Science, Electrical Engineering, Statistics, or a related field or equivalent experience
Experience using Python & C++ in production environments
Experience conforming to web application security best-practices
Experience with Cloud Application Development (e.g. AWS, Azure, GCP)
Experience with version control systems (e.g. git)
Preferred Qualifications
Familiarity with integrating native code binaries across different language environments
Experience deploying TPU / GPU acceleration (OpenCL / CUDA / ROCm) in numerical optimization frameworks
Experience integrating llama.cpp or similar ML inference engines via language bindings/wrappers in one or more of:
โข Python (llama-cpp-python)
โข Rust (llama-rs)
โข Go (go-llama.cpp)
โข Ruby (ruby-llama-cpp)
โข Java (javacpp-presets)
โข Node.js (node-llama-cpp)
โข Lua (llama-cpp-luajit)
Contract Details
Position Type: Independent Contractor
Payroll Management: Through Deel, Upwork, or Remote.com as Employer of Record
Work Hours: Flexible within primary timezone, with some overlap required for team collaboration
Equal Opportunity Statement
CyberGolem LLC is an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, age, disability, gender identity, sexual orientation, protected veteran status, or any other protected characteristic.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
Description
This is a fully remote contract role for a Machine Learning Engineer (MLE) at CyberGolem LLC. The MLOps team is non-existent so the ideal applicant will share that responsibility w/ AI Solutions & Customer Success team as-needed until resources permit more narrowly defined responsibilities. Obligatory "unicorn" emojis: โณ ๐ฉ
CyberGolem is a startup aspiring to achieve enterprise level bureaucracy and specialization of roles. Our commitment: leadership will never say "founder mode" unironically.
As CyberGolem grows, there will be opportunities to specialize and build out dedicated teams for MLOps, deployment, and optimization. Until then, we're looking for engineers who enjoy wearing multiple hats and can help shape our technical direction.
Base Salary Range
$95,000 - $145,000 USD DOE
Responsibilities
The MLE will be responsible for developing and optimizing large language model deployments through:
Model pruning and parameter quantization
LLM fine-tuning
Working on CI/CD pipelines for model deployment
Building and monitoring inference solutions that meet client requirements
Qualifications
Bachelorโs Degree in Mathematics, Computer Science, Electrical Engineering, Statistics, or a related field or equivalent experience
Experience using Python & C++ in production environments
Experience conforming to web application security best-practices
Experience with Cloud Application Development (e.g. AWS, Azure, GCP)
Experience with version control systems (e.g. git)
Preferred Qualifications
Familiarity with integrating native code binaries across different language environments
Experience deploying TPU / GPU acceleration (OpenCL / CUDA / ROCm) in numerical optimization frameworks
Experience integrating llama.cpp or similar ML inference engines via language bindings/wrappers in one or more of:
โข Python (llama-cpp-python)
โข Rust (llama-rs)
โข Go (go-llama.cpp)
โข Ruby (ruby-llama-cpp)
โข Java (javacpp-presets)
โข Node.js (node-llama-cpp)
โข Lua (llama-cpp-luajit)
Contract Details
Position Type: Independent Contractor
Payroll Management: Through Deel, Upwork, or Remote.com as Employer of Record
Work Hours: Flexible within primary timezone, with some overlap required for team collaboration
Equal Opportunity Statement
CyberGolem LLC is an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, age, disability, gender identity, sexual orientation, protected veteran status, or any other protected characteristic.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.






