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Principal Software Engineer, Team Lead - Perception Platforms
Lead a team building ML infrastructure and evaluation pipelines for autonomous-vehicle perception systems, using Python, C++, and distributed frameworks like K8s and Ray.
Senior Machine Learning Engineer - ML Planner
Builds and deploys deep-learning models for self-driving cars, focusing on scene understanding, behavior prediction, and motion planning using PyTorch and large datasets.
ML Platform Engineer/Senior Engineer
Build and optimize cloud-based ML infrastructure for autonomous-vehicle training, including multi-cloud GPU clusters, distributed PyTorch pipelines, and agentic AI tooling to speed up model development.
Senior Software Engineer, Next Gen Compute
Senior engineer optimizing ML model deployment and performance on embedded AI hardware for autonomous vehicles, using C++, CUDA, and TensorRT in a Linux environment.
Software Engineer, ML Dev Enablement
Build and optimize ML infrastructure and Agentic AI tooling for autonomous-vehicle model development, using Kubernetes, PyTorch, and distributed training pipelines.
Junior Data Scientist (ML)
Build and improve ML models and data pipelines that power tutor-learner matching and marketplace safety in a global edtech platform using Python and PyTorch.
Cloud Solutions Architect 651
Designs and secures cloud infrastructure (AWS/Azure/GCP) and ML pipelines, integrating cybersecurity best practices and compliance frameworks for enterprise systems.
Data Scientist 650
Data Scientist in McLean, VA builds and runs NLP models, analyzes large datasets, and creates reports for a government sponsor using Python, SQL, and deep learning frameworks.
Software Engineer Lead 670
Lead a team building distributed, petabyte-scale data platforms that integrate AI/ML into enterprise applications, focusing on ingest pipelines, search infrastructure, and mission analytics.
Machine Learning Engineer 727
Develop and deploy AI/ML models for secure geospatial and intelligence systems, building scalable pipelines and APIs in AWS while collaborating with data scientists and engineers.
Data Scientist
Build and improve AI models (LLMs, CV, classical ML) that extract quantities and costs from PDF drawings for real customers.
Software Engineer (IA, Robótica e Sistemas Inteligentes)
Research and build AI-driven systems for robotics, computer vision, and embedded solutions, turning cutting-edge science into production-ready products.
DevOps-инженер (ML/AI, DevSecOps, MLSecOps)
DevOps engineer builds and secures ML/AI pipelines, automates CI/CD for software and data-science teams, and manages on-premise GPU infrastructure with DevSecOps/MLSecOps practices.
Data Scientist
Build and deploy ML models, analyze messy enterprise data, and create self-service analytics tools using Python, SQL, and cloud platforms.
Deep Learning Researcher
Research and develop deep learning models for autonomous vehicle systems, optimizing neural networks for Mobileye’s EyeQ chip and deploying production-ready AI solutions.
Senior Data Scientist
Build and deploy ML models and AI systems to power creator intelligence, audience analytics, and content performance products using proprietary data and LLMs.
Staff AI Engineer
Lead end-to-end applied AI research and ML lifecycle for language models, fine-tuning, distillation, and production deployment to drive new product features and business impact.
Software Engineer - Generative AI & ML
Build and deploy multi-turn, conversational LLM-based support systems for Apple’s global customer service, integrating RAG, multi-agent orchestration, and multi-modal models.
Full-Stack AI/ML Application Engineer
Build full-stack AI applications integrating LLMs and ML models into production systems using Python, TypeScript, and cloud platforms.
Senior AI Engineer
Senior AI Engineer designs, builds, and deploys AI/ML systems (LLMs, NLP, CV) on cloud platforms to solve business problems, ensuring scalability and reliability.