Applied AI/Machine Learning Engineer

Oddball is building production-ready AI capabilities and is seeking an Applied AI/Machine Learning Engineer to design, develop, and deploy machine learning and GenAI solutions. The work spans experimentation and prototyping through evaluation, iteration, and integration into live systems, with a focus on reliability and measurable impact. This hybrid role is based in the McLean, VA area, supporting occasional in-office collaboration with a team that bridges applied modeling and software engineering. What you’ll do Design, develop, and deploy machine learning and AI-powered features into production systems Apply supervised, unsupervised, and deep learning approaches across structured and unstructured data Build and evaluate models for tasks including classification, ranking, prediction, NLP, and anomaly detection Develop and integrate GenAI solutions such as 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 that support both training and inference Evaluate model performance, bias, drift, and reliability, then iterate based on results Collaborate with software engineers to integrate models into APIs, services, and user-facing applications Participate in architecture decisions related to model serving, scalability, and cost optimization Document approaches, assumptions, and tradeoffs for maintainability and knowledge sharing Perform other related duties as assigned Required skills Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation Experience building and deploying ML models for real-world applications Proficiency in Python and common ML libraries such as PyTorch , TensorFlow , and scikit-learn Experience working with large language models, embeddings, and prompt-driven systems Familiarity with data processing tools and workflows including Pandas , SQL , Spark , or similar Understanding of software engineering best practices such as version control, testing, and code reviews Ability to weigh tradeoffs between accuracy, latency, cost, and maintainability Strong communication skills and comfort working in cross-functional teams Authorization to work in the United States; some roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or security clearance Technologies you’ll work with Python, PyTorch, TensorFlow, scikit-learn LLM-based workflows, retrieval-augmented generation Pandas, SQL, Spark APIs and services Bonus if you have Experience in innovation, R&D, labs, or exploratory engineering teams Experience deploying models to cloud platforms and managing inference at scale Familiarity with MLOps practices including model monitoring, CI/CD for ML, and experiment tracking Experience contributing to architectural discussions or technical strategy Compensation and employment details Job type: Full-time United States wage range: $150,000 - $200,000 per year Location Hybrid remote in McLean, VA 22102 Must be located in the DMV area (DC, Maryland, Virginia) and able to participate in occasional in-office collaboration Benefits Fully remote option Annual stipend Comprehensive Benefits Package Company Match 401(k) plan Flexible PTO and paid holidays Dental insurance Flexible schedule Flexible spending account Health insurance Health savings account Life insurance Paid time off Parental leave Professional development assistance Referral program Retirement plan Vision insurance 401(k) and 401(k) matching #J-18808-Ljbffr Oddball