Senior Machine Learning Engineer

Position Summary

The Inc Lab  engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission‑critical teams achieve success.

We are where innovation meets purpose; and where your career can meet purpose as well. We are looking for a Senior Machine Learning Engineer who will focus on researching, designing, training, and evaluating machine learning models to solve complex, real‑world problems.

• 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, Tensor Flow, 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%.

• 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 Tensor Flow.
• 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.

• 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.

Applicants must be a U.S. Citizen and willing and eligible to obtain a U.S. Security Clearance at the Secret or Top‑Secret level. Existing clearance is preferred.

• Hybrid and flexible work schedules.
• Professional development programs.
• Training and certification reimbursement options.
• 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.
• A company culture that values individual strengths, career goals, and contributions to the team.

Founded in 2015, The Inc Lab  (“TIL”) is the first human‑centered artificial intelligence (AI+X) lab. We engineer complex, integrated solutions that combine cutting‑edge AI technologies with emerging systems‑of‑systems to solve challenging problems in the defense and aerospace industries.

Salary range guidance provided is not a guarantee of compensation. Offers of employment may be at a salary range that is outside of this range and will be based on qualifications, experience, and possible contractual requirements.

This is a direct hire position, and we do not accept resumes from third‑party recruiters or agencies.