Machine Learning Researcher (Data Science & Applied AI)

MeeBoss is sharing this active opportunity on behalf of the hiring company. This role is for a Machine Learning Researcher focused on applied AI and new model development within an onsite team in the Bay Area. The position involves hands-on research, designing custom model architectures, training models from scratch, and translating research ideas into practical machine learning systems.

About the role

Join a growing applied AI research team solving complex real-world problems. Opportunity to move beyond off-the-shelf models and APIs to build original architectures. Collaborative environment working closely with researchers, data scientists, and ML engineers.

Responsibilities

• Design, develop, train, evaluate, and optimize new machine learning models from scratch
• Build custom model architectures and research new algorithms, families, and training strategies
• Train and validate custom ML and deep learning models using modern frameworks
• Establish model evaluation practices, including baseline comparisons, error analysis, and robustness testing
• Benchmark models against existing approaches to identify meaningful performance improvements
• Conduct statistical analysis, exploratory data analysis, and feature analysis
• Build scalable data processing, feature engineering, and analysis workflows
• Identify predictive signals, weak labels, and model-ready features from structured and unstructured data
• Support data cleaning, validation, transformation, and labeling strategies
• Collaborate with ML engineers and software engineers to integrate model research into applied AI initiatives
• Communicate research findings clearly to technical and non-technical stakeholders
• Contribute to research discussions, technical reviews, and model strategy
• Stay current with emerging research in machine learning, deep learning, and applied data science

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Statistics, Applied Mathematics, Engineering, Physics, or a related quantitative field
• 3+ years of hands-on experience in machine learning, AI research, data science, or applied AI
• Strong hands-on experience building, training, and evaluating machine learning models
• Demonstrated experience developing custom models, new architectures, or model pipelines from scratch
• Strong programming ability in Python
• Experience with major ML frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn
• Strong understanding of supervised and unsupervised learning, deep learning, neural networks, feature engineering, and model evaluation
• Experience conducting model experiments, analyzing results, and improving performance through iteration
• Strong analytical, research, problem-solving, and communication skills
• Ability to work onsite in the Bay Area

Qualifications

• AWS Certified Solutions Architect
• TensorFlow Developer Certificate
• Professional Certificate in Data Science
• Deep Learning Specialization Certificate
• Applied AI Engineer Certificate

Location: San Francisco, CA (On-site)