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Manufacturing Engineer Co-op (Spring/Summer 2027)
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TheIncLab

Senior Machine Learning Engineer

Remote, United States

Apply on jobs.workable.com About employer

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Job details

Experience: 7+ years of professional experience, including significant hands-on machine learning development
Posting language: English
Posted: Dec 22, 2025

Original 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. We encourage you to apply and take the first step in joining our dynamic and impactful company. Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research, evaluate, and select appropriate machine Learning approaches and architectures based on the problem definition. What will you do?

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%

Capabilities that will enable your success

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) Background in research-driven or R&D-focused engineering environments

Clearance Requirements 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.

At TheIncLab we recognize that innovation thrives when employees are provided with ample support and resources. Our benefits packages reflect that:

Hybrid and flexible work schedules
Professional development programs
Training and certification reimbursement e options for Me
Extended and floating holiday schedule
Paid time off and Paid volunteer time
Health and Wellness Benefits includes, Dental, and Vision insurance along with access to Wellness, Mental Health, and Employee Assistance Programs.
Supplemental Life Insurance options for employees and family members.
401(k) Plan Options with employer matching Incentive bonuses for eligible clearances, performance, and employee referrals.
A company culture that values your individual strengths, career goals, and contributions to the team

About TheIncLab Founded in 2015, 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. Our culture of relentless optimism is not just about having a positive attitude; it is about taking action and making things happen. We believe in the power of collaboration and teamwork, and we know that by working together, we can achieve great things. Our teams are made up of individuals who are passionate about their work and dedicated to making a difference. Learn more about TheIncLab and our job opportunities at www.theinclab.com. *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.

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More about this job

Skills

Machine learning
Research
PyTorch
TensorFlow
ML
Statistical quality control
Git
Jira
Atlassian Confluence
Computer science
Python
Deep learning
Decision making
Process data
Mlflow
Mental health

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Jobs in the United States