TheIncLab · 1 month ago
Senior Machine Learning Engineer
Nashville, TN, US
Full-time
Hybrid
Senior Level
7+ years expTheIncLab is a pioneering company that engineers intelligent digital applications and platforms to address complex challenges in the defense and aerospace industries. They are seeking a Senior Machine Learning Engineer to research, design, and evaluate machine learning models aimed at solving real-world problems, while also mentoring junior engineers and guiding best practices in ML development.
Artificial Intelligence (AI)Information TechnologyMachine Learning
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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
For transformer-based systems
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
Ability to travel up to 20%
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field
7+ years of professional experience, including significant hands-on machine learning development
Strong understanding of machine learning theory and fundamentals
Model selection and evaluation
Bias/variance tradeoffs
Optimization and loss functions
Demonstrated experience training and evaluating models using frameworks such as PyTorch or TensorFlow
Experience building and maintaining end-to-end ML pipelines
Strong programming skills in Python (additional languages are a plus)
Experience working with real-world, imperfect datasets
Ability to explain model behavior, tradeoffs, and limitations to both technical and non-technical stakeholders
Strong grasp of software engineering best practices and system design
Ability to travel up to 20%
Preferred
Experience with deep learning architectures (CNNs, RNNs, Transformers)
Experience applying ML to optimization, planning, or decision-making problems
Familiarity with distributed training or large-scale data processing
Experience with experiment tracking tools (e.g., MLflow, Weights & Biases)
Experience deploying ML models into production (batch or real-time inference)
Background in research-driven or R&D-focused engineering environments
Existing clearance is preferred
Benefits
Hybrid and flexible work schedules
Professional development programs
Training and certification reimbursement
Extended and floating holiday schedule
Paid time off and Paid volunteer time
Health and Wellness Benefits including Medical, Dental, and Vision insurance along with access to Wellness, Mental Health, and Employee Assistance Programs.
100% Company Paid Benefits that include STD, LTD, and Basic Life insurance.
401(k) Plan Options with employer matching
Incentive bonuses for eligible clearances, performance, and employee referrals.
Company
TheIncLab
TheIncLab offers artificial intelligence and machine learning services.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Ara Avakian
Chief Information Security Officer - Board of Directors
Company data provided by crunchbase