Applied AI/ML Engineer

About The Company

Oddball is a forward-thinking technology company dedicated to delivering innovative software solutions within the federal space. We believe that the most impactful products are created when organizations understand and value their core missions and data. Our culture emphasizes continuous learning, growth, and making a significant impact through quality engineering. By focusing on building reliable and scalable software, we aim to improve the daily lives of millions of people by bringing advanced technological solutions to government agencies and federal clients. Our commitment to innovation and excellence positions us as a leader in the industry, fostering an environment where talented professionals can thrive and contribute to meaningful projects.

About The Role

We are seeking an Applied AI/ML Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying practical AI-powered solutions that address real-world problems faced by federal agencies. You will work at the intersection of research and engineering, applying modern machine learning and Generative AI techniques to production systems. The ideal candidate is hands-on, enjoys shipping high-quality code, and can balance technical rigor with real-world constraints. Collaboration with cross-functional teams—including engineers, designers, and product stakeholders—is essential to translate ambiguous challenges into scalable, reliable AI-driven capabilities. This position offers an exciting opportunity to work on cutting-edge AI applications that have a tangible impact on government operations and public services.

Qualifications

• 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 working with large language models, embeddings, and prompt-driven systems
• Familiarity with data processing tools and workflows such as Pandas, SQL, Spark, or similar
• Understanding of software engineering best practices, including version control, testing, and code reviews
• Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability
• Strong communication skills and ability to work effectively in cross-functional teams

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• Authorized to work in the United States
  
  

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 Generative AI solutions, including LLM-based workflows, retrieval-augmented generation, and autonomous agents
• Translate business and user needs into machine learning problem statements, metrics, and experimental designs
• Implement data pipelines and feature engineering workflows to support model training and inference
• Evaluate model performance, identify bias, monitor drift, and ensure reliability; iterate based on findings
• Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
• Contribute to architecture decisions related to model serving, scalability, and cost efficiency

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• Document methodologies, assumptions, and tradeoffs to facilitate maintainability and knowledge sharing
  
  

Benefits

• Fully remote work environment
• Annual stipend for professional development
• Comprehensive benefits package including health, dental, and vision insurance
• Company-matched 401(k) retirement plan
• Flexible paid time off and paid holidays
  
  

Equal Opportunity

Oddball is an Equal Opportunity Employer and is committed to fostering an inclusive environment for all employees and applicants. We do not discriminate based on race, religion, color, disability, medical condition, genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy and related medical conditions), age, veteran status, or any other legally protected characteristic. We welcome applicants with disabilities and provide accommodations during the application process upon request. We ensure all employment practices are conducted in accordance with applicable laws and regulations. We value diversity and are dedicated to creating a workplace where everyone can contribute and succeed.