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Machine learning Jobs in Washington, DC
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Machine learning • washington dc
Machine Learning Engineer
TheIncLabMcLean, VA, US- Promoted
Research Engineer, Machine Learning
Anduril Industries, Inc.Washington, District Of Columbia, United States- Promoted
Machine Learning Engineer
Phase2 TechnologyMcLean, VA, United States- Promoted
Research Engineer, Machine Learning
Anduril IndustriesWashington, District Of Columbia, United States- Promoted
Machine Learning Engineer
Scribd, Inc.Washington, District Of Columbia, United States- Promoted
Machine Learning Engineer
VirtualVocationsAlexandria, Virginia, United States- Promoted
Machine Learning Engineer - Modeling
MediumWashington, District Of Columbia, United States- Promoted
Engineer, Machine Learning
Beyond SOFWashington, District Of Columbia, United StatesMachine Learning Engineer
Actif.aiWashington, DC, US- Promoted
Cyber Machine Learning Engineer
Booz Allen HamiltonAlexandria, VA, United States- Promoted
Machine Learning Engineer
Certus RecruitmentWashington, District Of Columbia, United StatesMachine Learning Engineer
AI SquaredWashington, DC, US- Promoted
Machine Learning Engineer
Acceler8 TalentWashington, District Of Columbia, United States- Promoted
Machine Learning Engineer
Integration Innovation, Inc.Washington, District Of Columbia, United States- Promoted
Staff Machine Learning Engineer
EnboarderWashington, DC, United States- Promoted
AI Machine Learning Engineer
ExoAnalytic SolutionsArlington, VA, US- Promoted
Director, Machine Learning Engineering
Capital OneMcLean, Maryland, USAThe average salary range is between $ 137,595 and $ 212,769 year , with the average salary hovering around $ 166,688 year .
- 911 operator (from $ 82,359 to $ 461,180 year)
- hospitalist (from $ 100,000 to $ 257,063 year)
- owner operator (from $ 58,500 to $ 250,000 year)
- associate dentist (from $ 120,000 to $ 250,000 year)
- director of customer service (from $ 42,324 to $ 250,000 year)
- visa sponsorship (from $ 85,280 to $ 250,000 year)
- sound engineer (from $ 103,200 to $ 245,000 year)
- pediatrician (from $ 75,000 to $ 244,558 year)
- medical editor (from $ 64,625 to $ 238,968 year)
- customer service director (from $ 59,174 to $ 236,550 year)
- Grand Rapids, MI (from $ 177,531 to $ 240,706 year)
- Lansing, MI (from $ 109,700 to $ 240,100 year)
- Simi Valley, CA (from $ 136,688 to $ 235,450 year)
- Spokane Valley, WA (from $ 135,458 to $ 234,943 year)
- Charleston, SC (from $ 112,230 to $ 233,350 year)
- Chula Vista, CA (from $ 174,990 to $ 229,500 year)
- Fairfield, CA (from $ 151,875 to $ 227,500 year)
- Sunnyvale, CA (from $ 150,000 to $ 225,000 year)
- Hampton, VA (from $ 107,500 to $ 225,000 year)
- Wichita Falls, TX (from $ 145,250 to $ 223,751 year)
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
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Machine Learning Engineer
TheIncLabMcLean, VA, US- Permanent
Job Description
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 Machine Learning Engineer that will focus on supporting the research, development, training, and evaluation of machine learning models used to solve complex, real-world problems. We encourage you to apply and take the first step in joining our dynamic and impactful company.
This role is ideal for an engineer who has strong foundation in machine learning fundamentals and is eager to grow by working along senior ML engineers. The Machine Learning Engineer will contribute to model development, data preparation, experimentation, and evaluation while learning how to make informed architectural and modeling decisions.
This is not a role focused on integrating third-party AI services or prompt-based systems. The ideal candidate is interested in understanding how models work, how they are trained, and how data and design choices affect performance.
Your Mission, Should You Choose to Accept
As a Machine Learning Engineer, you will join our Research & Product Innovation Department and team.
What will you do?
- Assist in researching and evaluating machine learning approaches under guidance
- Supervised, unsupervised, and learning
- Introductory reinforcement learning concepts
- Neural networks and classical ML techniques such as decision trees and ensemble methods
- Transformer-based models and Retrieval-Augmented Generation (RAG) systems
- Implement and train machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent
- Support the formulation of ML-based solutions to optimization and decision-making problems
- Pathfinding and routing
- Basic combinatorial or constraint-based optimization
- Contribute to data pipelines for ML systems
- Data validation and quality checks
- Feature engineering and preprocessing
- Applying data augmentation techniques as directed
- Train, tune, evaluate models, identifying issues such as overfitting or underperformance
- Apply evaluation metrics to assess model performance and make interactive improvements with guidance
- For transformer-based systems : Assist with managing context windows and token budgets
- Implement chunking and retrieval strategies as directed
- Integrate trained models into existing systems with support from senior engineers
- Document experiments, results, and implementation details using tools such as Git, Jira, and Confluence
- Learn and follow best practices for ML experimentation, reproducibility, and software development
- Stay curious and engaged with emerging machine learning techniques and tools
Requirements
Capabilities that will enable your success
Preferred Qualifications
Clearance Requirements
Applicants must be a U.S. Citizen and willing and eligible to obtain a U.S. Security Clearance at the Top-Secret level. Active Top Secret clearance is preferred.
Benefits
At TheIncLab we recognize that innovation thrives when employees are provided with ample support and resources. Our benefits packages reflect that :
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.