Senior Machine Learning Engineer

About the role

TheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission-critical teams achieve success. We are looking for a Senior Machine Learning Engineer to focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems.

Responsibilities

• 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
• Integrate ML models and data pipelines into production systems
• Mentor junior engineers and guide best practices in ML development
• Stay current with emerging ML research, tools, and techniques

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
• 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

Preferred Qualifications

• 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)

Benefits

• Hybrid and flexible work schedules
• Professional development programs
• Training and certification reimbursement
• Options for Medical, Dental, and Vision insurance
• Extended and floating holiday schedule
• Paid time off and Paid volunteer time
• Health and Wellness Benefits
• 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

About TheIncLab

TheIncLab ("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 some of the most difficult challenges in the defense and aerospace industries. Our work spans diverse technological landscapes, from rapid ideation and prototyping to deployment. At TIL, we foster a culture of relentless optimism. No problem is too hard, no project is too big, and no challenge is too complex to tackle. This is possible due to the positive attitude of our teams. We approach every problem with a "yes" attitude and focus on results. Our motto, "demo or die," encompasses the idea that failure is not an option. We do all of this with a work ethic rooted in kindness and professionalism. The positive attitude of our teams is only possible due to the support TIL provides to each individual. At TIL, we believe that every challenge is an opportunity for growth and innovation. Our teams are encouraged to think outside the box and come up with creative solutions to complex problems. We understand that the path to success is not always straightforward, but we are committed to persevering and finding a way forward.