7 hours ago
Washington, DC, USAMid Level
Base Salary
$150k - $200k/yr
Responsibilities
- Design, develop, and deploy machine learning and AI-powered features into production systems.
- Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data.
- Build and evaluate models for classification, ranking, prediction, NLP, and anomaly detection.
- Develop and integrate GenAI solutions, including LLM-based workflows, retrieval-augmented generation, and agents.
- Translate business and user needs into ML problem statements, metrics, and experiments.
- Implement data pipelines and feature engineering workflows for model training and inference.
- Evaluate model performance, bias, drift, and reliability, and iterate based on results.
- Collaborate with software engineers to integrate models into APIs, services, and user-facing applications.
- Contribute to architecture decisions involving model serving, scalability, and cost optimization.
- Document technical approaches, assumptions, and tradeoffs.
Requirements
- Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation.
- Experience building and deploying machine learning models in real-world applications.
- Proficiency in Python and common ML libraries such as PyTorch, TensorFlow, and scikit-learn.
- Experience with large language models, embeddings, and prompt-driven systems.
- Familiarity with Pandas, SQL, Spark, or similar data processing tools and workflows.
- Understanding of software engineering best practices, including version control, testing, and code reviews.
- Ability to evaluate tradeoffs among accuracy, latency, cost, and maintainability.
- Strong communication skills and comfort working in cross-functional teams.
- Bonus: experience in innovation, R&D, labs, or exploratory engineering teams.
- Bonus: experience deploying models to cloud platforms and managing inference at scale.
- Bonus: familiarity with MLOps, model monitoring, CI/CD for ML, and experiment tracking.
- Bonus: experience contributing to architectural discussions or technical strategy.
- Must be authorized to work in the United States; certain roles may require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or security clearance.
Benefits
- Hybrid/remote role; candidates must be located in the DMV area and able to participate in in-office collaboration.
- The posting also states that the position is fully remote.
- Annual stipend.
- Comprehensive benefits package.
- Company Match 401(k) plan.
- Flexible PTO and paid holidays.
Tech Stack
Categories
About Oddball
Oddball is a digital services firm that designs, builds, and operates scalable web and cloud software for U.S. federal agencies, with a focus on citizen-facing services. The privately held company, founded in 2015 and headquartered in McLean, Virginia, delivers full-stack development, human-centered design, product management, DevOps, and cloud migration from design through deployment. Its revenue comes from government contracts and professional services engagements.