Qualifications

Must-Have

• At least **2 years** of full-time experience in **machine learning model development**.
• Technical degree in **Computer Science**, **Electrical Engineering**, **Statistics**, **Mathematics**, or a related field.
• Demonstrated competitive **machine learning experience** (Kaggle, DrivenData, or equivalent).
• Evidence of top-tier performance in **ML competitions** (Kaggle medals, finalist placements, leaderboard rankings).
• Strong proficiency in **Python**, **PyTorch/TensorFlow**, and modern **ML/NLP frameworks**.
• Solid understanding of **ML fundamentals**: statistics, optimization, model evaluation, architectures.
• Experience with distributed training, **ML pipelines**, and experiment tracking.
• Strong problem-solving skills and algorithmic thinking.
• Experience working with cloud environments (**AWS/GCP/Azure**).
• Exceptional analytical, communication, and interpersonal skills.
• Ability to clearly explain modeling decisions, tradeoffs, and evaluation results.
• Fluency in **English**.

Preferred

• Kaggle **Grandmaster**, **Master**, or multiple **Gold Medals**.
• Experience creating benchmarks, evaluations, or **ML challenge problems**.
• Background in generative models, **LLMs**, or multimodal learning.
• Experience with large-scale distributed training.
• Prior experience in **AI research**, **ML platforms**, or infrastructure teams.
• Contributions to technical blogs, open-source projects, or research publications.
• Prior mentorship or technical leadership experience.
• Published research papers (conference or journal).
• Experience with **LLM fine-tuning**, vector databases, or generative AI workflows.
• Familiarity with **MLOps tools**: **Weights & Biases**, **MLflow**, **Airflow**, **Docker**, etc.
• Experience optimizing inference performance and deploying models at scale.

Application Process (Takes 20–30 mins to complete)

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

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: support@mercor.com
• PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*,