Senior AI/Machine Learning Engineer

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 are hiring an AI/Machine Learning Engineer  to work on a pivotal Federal program that is making a positive impact on millions of Americans' daily lives. 

What you'll be doing:

As an AI/Machine Learning Engineer,  you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. You’ll apply AI/ML expertise to solve meaningful challenges in federal programs, driving innovation in healthcare, veterans’ services, and more.

What you’ll bring:

• 7+ years of experience in software and machine learning engineering.
• 3+ years of experience leading cross-functional AI/ML teams.
• Strong knowledge of natural language processing (NLP) and transformer models.
• Proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
• Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.
• Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.
• Proven experience building scalable, cloud-based AI/ML solutions on AWS, GCP, or Azure.
• Familiarity with Agile and DevSecOps methodologies for AI/ML development; AI/ML cybersecurity experience is a bonus.
• Understanding of ethics in AI, including bias mitigation, fairness, privacy (PII/PHI), and the ability to implement explainable AI techniques to ensure transparency and trust in AI-driven decisions.
• Experience fine-tuning pre-trained models for specific business use cases.
• Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.
• Familiarity with NLP metrics and benchmarking utilities such as BERTScore, ROUGE, or METEOR.
• Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.
• Strong communication skills for effectively engaging both technical and non-technical stakeholders.
• Passion for staying up-to-date with industry trends, emerging technologies, and evolving federal government standards.
• Experience engineering products in federal environments or on government contracts; experience with the Securities & Exchange Commission (SEC) is a significant advantage.

Requirements:

• Must be a US Citizen and able to work domestically 
• Must be able to attain low-level security clearance 

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. in a relevant field or equivalent experience is a plus. 

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