Machine Learning Engineer

• Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
• Manage object storage, GPUs, and autoscaling for training & low-latency model serving
• Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
• Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
• Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
• Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
• Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
• Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
• Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
• Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
• lead incident response and post-mortems.
• Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

Machine Learning Operations Engineer

AI Research Scientist

• Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.
• Prototype ML models that improve perception, prediction, or decision-making for autonomous driving.
• Collaborate with cross-functional teams, including perception, robotics, and systems engineering.
• Participate in technical discussions, share insights, and work towards publishing results.

AI Researcher – Summer Internship

AI Engineer

• Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
• Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
• Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
• Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

Senior Full Stack Developer – AI Platform

• Build and maintain large-scale end-to-end data pipelines for platform and research needs
• Design data models optimized for analytics and ML training and inference
• Own the full data lifecycle with strong monitoring, validation, and reliability
• Optimize queries, storage, partitioning, and indexing for performance and cost
• Manage and scale BigQuery workloads and orchestrate pipelines with Airflow

Applied AI Researcher

• Develop and implement algorithms for real-time decision-making and optimization
• Translate research prototypes and experiments into clean, maintainable, and testable production code
• Collaborate with data scientists to evaluate model performance, run experiments, and tune parameters
• Build and maintain modular, scalable components that integrate with our existing recommendation engine
• Work with product and data teams to understand user needs and data constraints

ML Engineer

• Build Modular AI Capabilities: Design and implement self-contained "AI Skills" that connect to the CYE Platform’s core data layers.
• Ship End-to-End Autonomous Agents: Build agents that don't just "think," but act. You will deploy agents that handle the heavy lifting of the security lifecycle.
• Bridge the Gap to Non-Technical Users: Create the abstractions that allow our customer success teams and client stakeholders to trigger or chain these AI workflows.
• Own the AI Infrastructure & Evaluation: Maintain and contribute to the environment where these agents are born, ensuring they are grounded in truth.

Senior AI Engineer – AI, Innovation

• Conduct comprehensive hands-on research on AI & Cloud technologies, trends and best practices with a focus on cost optimization
• Collaborate with product development teams to integrate research findings and PoCs into new platform features and enhancements
• Bring domain expertise into pre-sales and post-sales processes, directly and tightly working with prospects to maximize value
• Publish thought-leadership technical content, in various forms: blog/white papers/OSS/Webinars/Live sessions.

Cloud & AI Researcher

• Process and analyze multi-source sensor data, with a strong focus on noise reduction and signal quality improvement
• Develop and apply time series models to characterize and predict signal behavior
• Design and implement machine learning and deep learning models (e.g., CNNs, RNNs) for spatial and temporal signal analysis
• Build algorithms for detection, classification, and quantification of physical phenomena
• Validate models against real-world data and ensure scientific robustness
• Communicate results clearly through visualizations, reports, and presentations to technical and non-technical stakeholders
• Collaborate closely with cross-functional teams to refine and deploy solutions

See all jobs on JobTailor