Note: The job is a remote job and is open to candidates in USA. Oddball is a software company focused on building quality products for the federal space. The Applied AI/Machine Learning Engineer will design, build, deploy, and evaluate practical AI-powered solutions, including machine learning and GenAI capabilities, while collaborating with engineering, design, and product teams.
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 tasks such as classification, ranking, prediction, NLP, or anomaly detection
- Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
- Translate business and user needs into ML problem statements, metrics, and experiments
- Implement data pipelines and feature engineering workflows to support model training and inference
- Evaluate model performance, bias, drift, and reliability; iterate based on results
- Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
- Contribute to architecture decisions around model serving, scalability, and cost optimization
- Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing
- Performs other related duties as assigned
Skills
- * Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation
- * Experience building and deploying ML models in real-world applications
- * Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
- * Experience working with large language models, embeddings, and prompt-driven systems
- * Familiarity with data processing tools and workflows (e.g., Pandas, SQL, Spark, or similar)
- * Understanding of software engineering best practices (version control, testing, code reviews)
- * Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability
- * Strong communication skills and comfort working in cross-functional teams
- Candidates **must be located in the DMV area** (DC, Maryland, Virginia) and able to participate with in-office collaboration
- * Applicants must be authorized to work in the United States
- * Experience working in innovation, R&D, labs, or exploratory engineering teams
- * Experience deploying models to cloud platforms and managing inference at scale
- * Familiarity with MLOps practices such as model monitoring, CI/CD for ML, and experiment tracking
- * Experience contributing to architectural discussions or technical strategy
Benefits
- Fully remote
- Annual stipend
- Comprehensive Benefits Package
- Company Match 401(k) plan
- Flexible PTO
- Paid Holidays
Company Overview