Senior Machine Learning Engineer Job at TheIncLab (McLean)

Senior Machine Learning Engineer

TheIncLab

Location:
United States , McLean ▼
Nashville

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Mission Starts Here. TheIncLab 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 to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems.

Job Responsibility:

Research, evaluate, and select appropriate machine learning approaches and architectures based on the problem definition
Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent
Formulate and solve optimization problems using ML techniques
Own data pipelines for ML systems
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
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%

Requirements:

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
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
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

Nice to have:

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

What we offer:

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
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

Additional Information:

Job Posted:
January 10, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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