Machine Learning Engineer Expert

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey.

Position: Machine Learning Engineer Expert
Type: Contract
Compensation: $90/hour
Location: Remote

Role Responsibilities

• Develop end-to-end machine learning solutions for challenging prediction and modeling problems.
• Analyze datasets and define appropriate modeling approaches validation strategies and evaluation metrics.
• Perform exploratory data analysis feature engineering and data preprocessing.
• Train tune and evaluate machine learning models across tabular text image and time-series datasets.
• Review and validate the technical quality of machine learning projects and deliverables.
• Identify opportunities to improve model performance through systematic experimentation and iteration.

Qualifications

Must-Have

• Masters degree or PhD in Computer Science Machine Learning Statistics Mathematics Electrical Engineering or a related field from a top-tier university.
• 2 years of professional experience in machine learning applied AI data science or a closely related field.
• Strong proficiency in Python and modern machine learning frameworks (e.g. scikit-learn XGBoost LightGBM PyTorch TensorFlow).
• Demonstrated experience building end-to-end machine learning solutions including data preparation model development validation and evaluation.
• Strong understanding of model evaluation metrics validation methodologies and experimental design.
• Experience with one or more of the following areas: tabular machine learning natural language processing computer vision recommendation systems ranking systems time-series forecasting.
• Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs.

Preferred

• PhD from a leading research university.
• Experience at leading technology companies AI labs research institutions or high-growth startups.
• Participation in competitive machine learning or data science competitions.
• Experience optimizing models against performance-based evaluation metrics.
• Familiarity with advanced techniques such as ensembling hyperparameter optimization transfer learning foundation model fine-tuning or reinforcement learning.
• Publications patents or significant open-source contributions in machine learning or AI.
• Experience reviewing mentoring or evaluating the work of other machine learning practitioners.

Application Process (Takes 2030 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.