--- title: 'Applied AI/ML Engineer at Oddball' canonical: 'https://feeny.ai/job/applied-ai-ml-engineer-oddball-washington-e9ff9y3pdgaw' type: 'job' last_seen: '2026-09-12' --- # Applied AI/ML Engineer at Oddball - **Company:** Oddball - **Location:** Washington, DC - **Posted:** 2026-09-09 - **Last confirmed live:** 2026-09-12 - **Apply:** https://job-boards.greenhouse.io/oddball/jobs/7990328003 ## Job description Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space. We’re looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems — from experimentation and prototyping through deployment, evaluation, and iteration. You’ll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities. This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints. What you'll be doing: - 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 What you’ll bring: - 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 - Performs other related duties as assigned Bonus if you have: - 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 Location: Hybrid/Remote. Candidates must be located in the DMV area (DC, Maryland, Virginia) and able to participate with in-office collaboration. Requirements: - 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. Benefits: - Fully remote - Annual stipend - Comprehensive Benefits Package - Company Match 401(k) plan - Flexible PTO, Paid Holidays Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities: Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@oddball.io The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Compensation: At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level. United States Wage Range: $150,000 – $200,000 ## About Oddball ## Company Overview - **One-liner**: A digital services agency that transforms and modernizes how federal government agencies interact with citizens through scalable, human-centered software solutions. - **Entity Type**: Private (growth equity-backed; received a strategic investment from Falfurrias Management Partners in January 2025) - **Headquarters**: McLean, Virginia, United States - **Founded**: 2015 - **Founders**: Travis Sorensen (CEO) and Rob Wilkinson (CTO) ## Core Business - **Primary industry**: Government digital services, federal IT modernization, software development, DevSecOps, human-centered design. - **Target customers**: U.S. federal government agencies (e.g., Department of Veterans Affairs, DoD, etc.) – primarily B2G (business-to-government). - **Mission**: To drive innovation in government digital services by building “purpose-built, scalable solutions” that make government services more accessible and efficient for citizens and the workforces they empower. ## Products & Services - **Software Engineering & Development**: Full-stack development (Node, Angular, React, MongoDB, SQL/NoSQL), custom web applications, mobile apps, and RESTful APIs. - **DevSecOps & Cloud Migration**: Continuous integration/continuous delivery, enterprise DevOps, cloud migration, containerization (Docker, Helm, Jenkins). - **Human-Centered Design & UX**: UI/UX design, responsive web design, material design, user research, and accessibility-focused interfaces. - **Product & Project Management**: Agile/Scrum/Lean delivery, strategic consulting, SWOT analysis, pitch decks, market research, and discounted cash-flow analysis. - **Legacy Modernization**: Bringing modern, secure, and scalable solutions to replace aging government systems. ## Market Standing - **Valuation**: Not publicly disclosed. - **Key Metric**: Total funding amount not public; recent private equity round led by Falfurrias Management Partners (Falfurrias Capital Partners V fund). - **Notable Investors/Partners**: Falfurrias Management Partners (lead investor), Board members include Marybeth Wootton (Falfurrias Executive Advisor), Joe Price, Grant Hundley. - **Growth Signals**: - 269 employees as of mid-2026 (+16.4% year-over-year). - 100% remote workforce model that attracts top talent. - High retention of key clients and strong Glassdoor-style rating (4.5/5 on LinkedIn, 69 reviews). - Recent strategic growth partnership positions the company for accelerated growth. ## Competitive Advantages - **Deep federal specialization**: Decades of combined experience in government contracting – understanding of VA, DoD, and other agencies’ unique compliance, security, and mission requirements. - **End-to-end capability**: From discovery and design through deployment and ongoing DevSecOps – a rare “whole product” offering in the government digital services space. - **“Strangely human” culture**: Emphasizes empathy, collaboration, and real understanding of the citizen experience, differentiating from more transactional government contractors. - **100% remote-first model**: Attracts and retains top commercial tech talent who might otherwise avoid government work; lower overhead and higher employee satisfaction. - **Proven delivery record**: Consistent track record of successful modernization projects for high-stakes federal clients. ## Strategic Focus - **Scaling after PE investment**: Leveraging Falfurrias’ operational expertise, capital, and network to win larger contracts, expand into new agencies, and deepen existing client relationships. - **Modernization of government services**: Continue driving cloud migration, data modernization, and user-centered design across federal IT. - **Talent acquisition**: Maintaining remote culture while growing the team selectively to preserve quality and culture. - **Expanding service lines**: Likely increasing capabilities in AI/automation, data analytics, and cybersecurity to meet evolving government needs. ## Why Work Here - **Fully remote**: Permanent remote-first policy – no mandatory office days. Yearly company retreat. - **Strong culture**: Described as “strangely human” – collaborative, growth-oriented, client-first, with a focus on big-picture impact. - **Compensation & benefits**: Competitive salaries (e.g., Senior Product Manager ~$142k, Engineer ~$100k). Comprehensive benefits include health, dental, vision, life insurance, company-match 401(k), flexible PTO, paid holidays, fitness reimbursement, FSA/HSA. - **Perks**: Yearly stipend, monthly “Lunch and Learns,” professional development support. - **Work-life balance**: Rated 4.7/5 on LinkedIn for work-life balance; 4.5/5 for culture and compensation. - **Meaningful work**: Directly improving the daily lives of millions of citizens (veterans, public health, etc.) by modernizing government digital services. - **Growth opportunities**: Access to senior leadership, exposure to high-impact projects, and room to shape solutions in a mid-size company (~269 people). ## Sources 1. [oddball.io – Homepage](https://oddball.io/) 2. [oddball.io – Careers Page](https://oddball.io/jobs/) 3. [oddball.io – About/Leadership](https://oddball.io/about/) 4. [linkedin.com – Oddball Company Page](https://www.linkedin.com/company/oddball.io) 5. [oddball.io – Falfurrias Partnership Announcement](https://oddball.io/falfurrias-strategic-growth-partnership/) ## Other roles at Oddball - [Pricing Analyst](https://feeny.ai/job/pricing-analyst-oddball-remote-4drt63r6c63j) - [Digital Solutions Architect](https://feeny.ai/job/digital-solutions-architect-oddball-remote-s5kdmn52qw36) - [Senior Full Stack Engineer](https://feeny.ai/job/senior-full-stack-engineer-oddball-washington-bar6ajzaxgpc) — Washington, DC - [Cloud Data Architect](https://feeny.ai/job/cloud-data-architect-oddball-remote-z2wqarfwavdj) - [Proposal Writer](https://feeny.ai/job/proposal-writer-oddball-remote-vanegwkptwq0) - [Applied AI/ML Engineer](https://feeny.ai/job/applied-ai-ml-engineer-confido-new-york-q4zn33293zhy) — New York, NY - [Applied AI/ML Engineer](https://feeny.ai/job/applied-ai-ml-engineer-intangible-remote-jre3exrac8v3) - [Applied AI/ML Engineer](https://feeny.ai/job/applied-ai-ml-engineer-overtone-new-york-s1cphj0dayh6) — New York, NY - [Applied AI/ML Engineer](https://feeny.ai/job/applied-ai-ml-engineer-extend-new-york-yj2478ttr1km) — New York, NY - [Applied AI/ML Engineer](https://feeny.ai/job/applied-ai-ml-engineer-aisera-hyderabad-vq247p00wqh5) — Hyderabad, India