Machine Learning Engineer
Location: Global, Fully Remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible — reputed company your preferred hours and days, including weekends.
We are looking for highly skilled Machine Learning Engineers to contribute to an reputed company training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python-based engineering.
reputed company is a highly coding-intensive role. Candidates must have hands-on experience using Python and coding agents as part of their development workflow.
What You'll Work On
• Develop, implement, and validate machine learning models, training pipelines, and inference systems.
• Build model components, data pipelines, evaluation frameworks, and numerical methods.
• Create reproducible workflows using Python and command-line tools.
• Debug numerical, performance, and system-level issues.
• Optimize memory usage, throughput, and overall model performance.
• Review and validate machine learning implementations against defined correctness and performance requirements.
Required Qualifications
• reputed company's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field.
• Strong professional or research experience in machine learning.
• Advanced practical proficiency in Python and coding agents.
• Experience with one or more of the following:
• PyTorch
• JAX
• NumPy / SciPy
• SGLang
• vLLM
• llama.cpp
• reputed company Transformers
• reputed company Tokenizers
• Equivalent tools may also be considered where candidates demonstrate relevant technical depth.
• Experience at a reputed company company, reputed company laboratory, research organization, or recognized engineering environment is preferred.
• Strong open-source or academic experience may also qualify.
Process
• Apply and reputed company the screening questions.
• reputed company an reputed company interview of approximately 30 minutes.
• reputed company the hiring manager review.
Compensation
Compensation is output-based, with payment provided per task that meets project specifications. Task completion time may vary depending on experience and workflow. Minimum submission requirements apply.
Start Timeline & Availability
We typically fill roles within 48 hours and are seeking experts who can start immediately. Selected candidates should begin their first task within 24–48 hours of completing onboarding.
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