Lead the design and implementation of advanced AI/ML systems including large language models, computer vision transformers, and reinforcement learning solutions for industrial applications
Develop and deploy production-grade deep learning pipelines using cloud platforms (AWS, GCP, Azure) with focus on scalability, reliability, and performance optimization
Build innovative AI solutions leveraging transformer architectures, generative models, and Bayesian frameworks to solve complex business challenges in ocean exploration, robotics, and industrial automation
Implement online reinforcement learning systems for resource optimization and intelligent decision-making in critical operational environments
Lead cross-functional teams in developing foundation models and fine-tuning strategies using advanced techniques including curriculum learning, adversarial training, and multimodal approaches
Establish and drive MLOps best practices including automated model training pipelines, continuous deployment, monitoring, and A/B testing frameworks using tools like Docker, Kubernetes, and AdaptDL
Translate cutting-edge AI research papers into production-ready solutions while maintaining robust evaluation metrics and interpretability frameworks
Provide technical leadership and mentorship to the AI/ML engineering team, guiding development in advanced concepts including manifold embeddings, graph neural networks, and causal inference methodologies
Work with external partners (academic and commercial) to coordinate AI development efforts and integrate novel technologies
Ensure AI systems comply with security, privacy regulations and implement responsible AI development practices
Present complex AI implementations and research findings to technical and non-technical stakeholders through clear documentation and compelling presentations

Requirements

Master's degree in computer science, AI/ML, or related field
5+ years of experience in AI/ML development with focus on deep learning and neural network architectures
Expert-level proficiency in TensorFlow, PyTorch, PyTorch Lightning, and deep learning frameworks
Demonstrated experience architecting and deploying large-scale AI systems in production environments
Strong expertise in transformer architectures, LLMs, computer vision models, and reinforcement learning
Advanced programming skills in Python and C++, with experience in CUDA/GPU programming
Proven experience with MLOps practices, containerization (Docker/Kubernetes), and elastic workload management
Deep understanding of the mathematics behind neural networks including optimization, embeddings, and statistical learning theory
Experience with cloud platforms (AWS, GCP, Azure) for AI model deployment and scaling
Track record of leading AI research initiatives and converting research papers to production code
Strong problem-solving skills with ability to work on complex, ambiguous problems
Legal authorization to work in the United States

Benefits

Medical insurance plans
Dental and vision coverage
Employee Assistance Program
401(k)
Tuition reimbursement
Employee resource groups
Recognition programs
Flexible time off
Paid parental leave
Vacation and holiday leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML developmentdeep learningneural network architecturesTensorFlowPyTorchPythonC++CUDAreinforcement learningtransformer architectures

Soft Skills

technical leadershipmentorshipproblem-solvingcommunicationcollaboration

Certifications

Master's degree in computer scienceMaster's degree in AI/ML