AI/ML Engineer, Senior

The Opportunity

What You'll Work On

• Design, develop, and implement NLP, LLM, deep learning, computer vision, and other AI/ML models.
• Build and optimize scalable data pipelines for training, evaluation, and continuous model improvement.
• Develop production systems with microservices, APIs, automation frameworks, and cloud-native or edge-deployed AI services.
• Integrate AI/ML capabilities into operational environments with security, reliability, observability, and performance considerations.
• Optimize, tune, version, and A/B test models.
• Apply software engineering patterns using Python, Java, Scala, Rust, microservices, and distributed systems.
• Collaborate with multidisciplinary teams to identify mission needs and define technical approaches.
• Prepare technical documentation, contribute to design reviews, and support customer-driven requirements.

You Have

• 5+ years of experience developing machine learning models such as NLP, LLM, computer vision, deep learning, generative AI, or reinforcement learning models.
• 5+ years of experience developing AI/ML capabilities for a microservice stack.
• Experience with production-grade APIs, microservices, or distributed systems.
• Experience with data processing frameworks and scientific computing libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn.
• Experience designing, configuring, or deploying software systems in operational environments.
• Experience with CI/CD, source control such as GitLab, and containerization technologies such as Docker, Podman, or Kubernetes.
• Active TS/SCI clearance and willingness to take a polygraph examination.
• Bachelor's degree in a STEM field.

Nice If You Have

• Experience with GPU programming, AWS, classified environments, LLM orchestration, RAG, grounding, or hallucination mitigation.
• Experience with MLOps platforms, distributed training, hybrid cloud environments, automated testing, or model evaluation frameworks.
• A master's degree in computer science, AI engineering, ML engineering, data science, or another STEM field.
• AI/ML, cloud, or solution architecture industry certifications.

Compensation

• The projected annualized compensation range is $99,000 to $225,000 USD.
• Compensation depends on location, education, skills, experience, contract affordability, and organizational requirements.
• Benefits may include health, life, disability, financial, retirement, paid leave, professional development, tuition assistance, work-life programs, and dependent care.

Work Model

• The posting describes remote, hybrid, and onsite work models but does not identify which model applies to this position.
• Remote employees may occasionally work at a company or customer facility.
• Hybrid employees are expected to work frequently from a company facility and may visit customer facilities.
• Onsite employees primarily work at a company office or customer facility.

Security and Candidate Policies

• Applicants selected will undergo a security investigation and must meet eligibility requirements for classified information access.
• The hiring process includes identity verification using biometrics and artificial intelligence.
• Use of AI tools during interviews or assessments is prohibited unless explicitly permitted.