AI Summary
Design, solve, and evaluate complex ML challenges. Develop end-to-end ML solutions. Requires strong hands-on expertise and familiarity with modern ML techniques.
Key Highlights
Develop end-to-end ML solutions
Analyze datasets and define modeling approaches
Train, tune, and evaluate ML models across various data modalities
Key Responsibilities
Develop end-to-end machine learning solutions
Analyze datasets and define modeling approaches
Train, tune, and evaluate machine learning models
Document methodologies and evaluation results
Technical Skills Required
Benefits & Perks
Remote work
Weekly payment on Stripe or Wise
Nice to Have
Experience with tabular machine learning
Familiarity with advanced techniques (ensembling, hyperparameter optimization)
Experience at leading tech companies or research institutions
Job Description
Hourly contract | Remote | $90/hr
- Role Overview
- What You ll Do
- 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
- Develop strong reference solutions using industry-standard machine learning techniques and best practices
- Review and validate the technical quality of machine learning projects and deliverables
- Document methodologies, assumptions, and evaluation results in a clear and reproducible manner
- Identify opportunities to improve model performance through systematic experimentation and iteration
- Master s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university
- 2+ years of hands-on experience developing, training, evaluating, and optimizing machine learning models in a professional or research setting.
- 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
- Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Tabular machine learning
- Natural language processing
- Computer vision
- Recommendation systems
- Ranking systems
- Time-series forecasting
- 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
- We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are weekly on Stripe or Wise based on services rendered.
- Please note: We are unable to support H1-B or STEM OPT candidates at this time.
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