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Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance,…
Principal ML Engineer New York, NY (Hybrid) About the Company We're building AI-native enforcement infrastructure for enterprise communication — technology that catches and fixes compliance issues in real time,…
ML/LLM engineer building AI agents and large language models for medtech products, automating medical workflows and assisting doctors and patients.
Engineer deep-learning inference engines for GigaChat, optimizing CUDA kernels and GPU clusters to deliver sub-second LLM responses at massive scale.
Design and run AI hardware benchmarks for GPUs, TPUs and custom silicon, analyze throughput, latency and cost-per-token, and work with leading chipmakers to set industry standards.
Benchmark and analyze AI model inference performance across providers, extending methodologies for speed, cost, and accuracy while shaping industry standards.
Design and run AI hardware benchmarks (GPUs, TPUs, custom silicon), analyze inference economics, and partner with chipmakers to set industry standards for performance and cost-per-token.
Develops topology-aware collective algorithms and transport layers for AI hardware, optimizing multi-node performance and co-designing with hardware teams.
Leads Developer Relations for robotics and edge AI in India, building demos, running workshops, and guiding teams to prototype and deploy AI-powered systems using NVIDIA’s platforms like Isaac Sim, Jetson, and TensorRT.
Leads strategic AI adoption for India's major conglomerates by engaging executives and technical teams to identify, build, and scale enterprise AI workloads using NVIDIA's platforms and software.
Build and deploy AI/ML systems that personalize Yahoo Mail for 220M+ users, using NLP, GenAI, and agentic workflows while optimizing for scale and latency.
Leads development of AI-powered perception systems for autonomous aircraft, training and deploying vision-language models for defense applications using PyTorch, TensorFlow, and TensorRT.
Develop and deploy advanced machine learning models for autonomous systems, focusing on perception challenges using vision, vision-language, and vision-language-action models in a defense-tech environment.
Senior engineer builds and deploys cutting-edge vision, vision-language, and vision-language-action models for autonomous aircraft, turning research into production-ready perception systems for defense customers.
Principal engineer builds and scales the AI inference software stack for d-Matrix’s custom compute engine, optimizing hardware-software co-design and collaborating across ML, compilers, and hardware teams.
What You'll Do: AI Innovation: Leverage advancements in AI to create solutions using edge/cloud reasoning models, computer vision and automation algorithms that improve public safety outcomes. Architect &…
Neurosoft Bioelectronics is developing next-generation AI for decoding neural time series (high-density subdural ECoG LFPs). We seek an intern machine learning scientist with interest in sequence modelling, state-space…
Build and scale the AI/ML backbone for autonomous defense systems, including training pipelines, synthetic data generation, and real-time edge inference on embedded hardware.
Develops and optimizes Linux-based embedded systems for autonomous defense platforms, integrating high-bandwidth sensors and real-time AI inference on NVIDIA Jetson hardware.
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