Oddball · 7 hours ago
Applied AI/ML Engineer
Washington DC area
Full-time
Hybrid
Mid, Senior Level
$150K/yr - $200K/yrOddball believes in the power of understanding and valuing work to create impactful products. They are seeking an Applied AI / Machine Learning Engineer to design and deploy AI-powered solutions, focusing on applying modern ML techniques in production systems.
Computer Vision
No H1B
U.S. Citizen Only
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
Qualification
Required
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
Applicants must be authorized to work in the United States
In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance
Preferred
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
Oddball
Oddball is dedicated to digital modernization of federal citizen-centric services.
Founded in 2015
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Falfurrias Management Partners
2025-01-08Private Equity
Leadership Team
Rob Silverman
Chief Executive Officer
Traci Benincosa
Delivery Manager
Recent News
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