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Staff/Senior Software Engineer, Hybrid IR and Systems New York City | Full-time | On-site in SoHo, five days per week Reports to the CTO and works directly with the founding team ABOUT HELIOS Helios is building a new…
Build and deploy ML models to extract rare, critical driving scenarios from petabytes of sensor data for autonomous vehicle development using PyTorch, multimodal learning, and data mining pipelines.
Lead optimization of ML models (Transformers, LLMs, VLMs) for real-time self-driving on embedded hardware, using quantization, kernel fusion, and profiling to maximize performance under strict compute constraints.
Develops ML systems for Apple’s search and knowledge platforms (Siri, Apple Intelligence, Safari, iMessage), focusing on query understanding, document retrieval, ranking, and intent-based answers using LLMs and heuristics.
Senior ML Engineer taking operational ownership of deployed ML/AI services on AWS (Lambda, ECS/Fargate, Bedrock, S3), focusing on monitoring, retraining, inference performance optimization, and CI/CD—collaborating with data scientists and product engineers.
Leads AI platform architecture, optimizes LLM workflows for defense/intelligence use, and manages multi-cloud infrastructure with security-focused DevOps.
The AI Lead Software Architect will design and lead the execution of mission-critical, distributed AI and machine learning systems for defense and intelligence applications. This role involves architecting high-throughput inference pipelines, multi-agent frameworks, and secure, low-latency deployments across air-gapped and multi-cloud environments.
The Technical Team Lead will oversee the architecture and development of a hardware-assisted security platform that uses CPU telemetry and machine learning to detect threats. This role involves leading cross-functional teams in silicon telemetry, ML inference, and kernel driver development to deliver security signals to partners.
The Senior Machine Learning Engineer will design, develop, and deploy computer vision models for object detection, tracking, and OCR to power real-world applications in parking and mobility. The role requires expertise in Python, deep learning frameworks, and model optimization for production environments.
Designs and oversees large-scale AI/ML production systems, optimizing GPU performance, distributed training, and inference pipelines to deploy advanced models reliably at scale.
The Senior Data Scientist will lead and deliver generative AI and LLM projects, managing teams and architecting solutions like RAG systems and agentic AI for clients. The role involves technical leadership, client engagement, and mentoring junior staff within a consulting environment.
Develop and refine edge GenAI models for BMW's Intelligent Personal Assistant, including model selection, fine-tuning pipelines, compression strategies, and hardware-aware deployment using PyTorch and Transformers.
Не просто код, а твій вплив на мільйони українців Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни. Про масштаб наших сервісів: 50+ млн запитів щодня…
The LLM Engineer will integrate large language models into enterprise processes using RAG, agentic architectures, and fine-tuning pipelines. The role focuses on optimizing model performance for production environments using frameworks like LangChain, vLLM, and PyTorch.
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies. As a Senior Principal Software Engineer at JPMorganChase within…
Presales AI Solutions Engineer guiding enterprise clients through AI transformation by showcasing Xinference and Xagent platforms, leading POCs, and designing secure cloud/hybrid architectures.
At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create more inclusive, user-centric…
Leads AI agent development for NVIDIA’s local/hybrid AI capabilities across RTX platforms, coordinating engineering, research, security, and developer relations to define roadmaps, release criteria, and user experiences for private, efficient AI agents.
Artificial intelligence is moving from passive assistance to agents that can reason, use tools, and complete work on a person's device. NVIDIA is building the software foundation that helps developers and partners…
Develop and productionize AI products for semiconductor defect inspection—computer vision, multimodal AI, anomaly detection, and model optimization—using Python and deep learning frameworks in Santa Clara.
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