Senior Machine Learning Engineer

TheIncLab is looking for a Senior Machine Learning Engineer to research, design, train, and evaluate machine learning models to solve complex, real-world problems. The successful candidate will have a strong understanding of machine learning theory and fundamentals, and experience training and evaluating models using frameworks such as PyTorch or TensorFlow.

Requirements

• Research, evaluate, and select appropriate machine learning approaches and architectures based on the problem definition
• Supervised, unsupervised, and reinforcement learning
• Neural networks, decision trees, ensemble methods
• Transformer-based models, adversarial networks, genetic algorithms
• Retrieval-Augmented Generation (RAG) where appropriate
• Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent
• Formulate and solve optimization problems using ML techniques
• Pathfinding and routing
• Combinatorial and constraint-based optimization Heuristic and learning-based optimization approaches
• Own data pipelines for ML systems
• Data validation and quality checks
• Feature engineering and preprocessing
• Data augmentation strategies for training robustness
• Train, tune, and debug models, addressing issues such as overfitting, instability, bias, and performance degradation
• Define and apply appropriate evaluation metrics, analyze results and iteratively improve model performance
• Optimize context window usage
• Manage token budgets, chunking strategies, and retrieval mechanisms
• Balance performance, accuracy, and computational cost
• Integrate ML models and data pipelines into production systems
• Make technical decisions and provide architectural guidance for ML systems
• Document experiments, results, and design decisions using tools such as Git, Jira, and Confluence
• Mentor junior engineers and guide best practices in ML development
• Stay current with emerging ML research, tools, and techniques

Benefits

• Hybrid and flexible work schedules
• Professional development programs
• Training and certification reimbursement
• Extended and floating holiday schedule
• Paid time off
• Paid volunteer time
• Health and Wellness Benefits
• 100% Company Paid Benefits
• 401(k) Plan Options with employer matching
• Incentive bonuses for eligible clearances, performance, and employee referrals