Machine Learning Engineer
Listed on 2026-08-19
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Join the cutting-edge team at Dash Labs, an innovative EdTech firm dedicated to providing groundbreaking solutions to government, NGO, and global end-users. We specialize in innovative approaches that encompass cross-disciplinary styles of instructional design, research and development, data-driven needs assessment, and virtual learning environments. As we continue to drive innovation in AI-driven projects with a focus on economic statecraft, we are excited to invite a skilled and motivated Machine Learning Engineer to join us on a full-time or part-time basis.
As a Machine Learning Engineer, you will play a pivotal role in developing, implementing, and deploying cutting-edge machine learning models to drive the success of our AI projects.
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Specific SkillsQualifications
- Proven experience in designing, implementing, and deploying machine learning models for real-world applications.
- Proficiency in programming languages commonly used in machine learning, such as Python or Java, and experience with machine learning libraries and frameworks like Tensor Flow, PyTorch, or scikit-learn.
- Solid understanding of machine learning algorithms, statistical modeling, and optimization techniques.
- Experience with deep learning architectures and techniques is a plus, though not mandatory.
- Strong problem-solving and analytical skills, with the ability to understand complex AI challenges and devise innovative solutions.
- Familiarity with data preprocessing techniques and data visualization for model development and evaluation.
- Excellent communication skills, both written and verbal, to effectively communicate technical concepts and collaborate with team members.
- A proactive and collaborative mindset, with the ability to work effectively in a multidisciplinary team environment.
- Passion for machine learning and a strong desire to contribute to AI projects that have real-world applications in economic statecraft.
- Collaborate closely with AI Research Scientists, Data Scientists, and NLP Specialists to integrate machine learning capabilities into AI-driven solutions for knowledge curation and decision-making.
- Preprocess and clean data to prepare it for machine learning tasks, ensuring data quality and compatibility with the chosen algorithms.
- Design and develop machine learning models and algorithms to address specific challenges in economic statecraft scenarios, such as prediction, classification, and anomaly detection.
- Conduct thorough evaluations and testing of machine learning models, optimizing their performance and accuracy.
- Implement and deploy machine learning models in production environments, ensuring scalability and efficiency.
- Work closely with Data Engineers to build data pipelines and ensure smooth data flow for training and inference of machine learning models.
- Stay up-to-date with the latest advancements in machine learning research and techniques, applying them to enhance the performance and effectiveness of our AI projects.
- Collaborate with cross-functional teams to ensure the successful integration of machine learning models into AI-driven solutions.
U.S. Citizenship required.
Job NatureFull Time, Part Time
Educational RequirementsBachelor's or Master's degree in Computer Science, Machine Learning, or a related field with a strong focus on machine learning model development and deployment.
Experience Requirements5
Job LocationRemote - USA, Washington D.C. Metro Area
Other Benefits- Dash Labs offers a full benefits package for full time W2 employees.
Dash Labs offers a full benefits package for full time W2 employees. If you are ready to make a significant impact by leveraging your expertise in machine learning to drive the success of AI-driven projects in the domain of economic statecraft, Dash Labs welcomes your application. Join our dynamic team and be part of a transformative journey at the forefront of AI innovation.
JobLevel
Intermediate
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