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Builds and scales GenAI data pipelines for XR projects, fine-tuning models with JAX and optimizing inference on TPUs/GPUs.
Build and ship AI features end-to-end: design agent workflows, fine-tune models, and turn outputs into reliable production systems using Python, PyTorch/JAX, and modern LLMs.
Build and train ML models that power real-time quantitative trading systems, working with PyTorch/JAX and distributed compute platforms in a fast-paced finance setting.
Build and maintain the infrastructure that trains, deploys, and serves AI models at scale, using Python, PyTorch/JAX, and LLM serving stacks like vLLM.
Build and ship LLM-powered AI agent workflows that orchestrate multi-step tasks, integrate tools, and turn probabilistic model outputs into reliable user experiences.
Build and ship LLM-powered AI agent workflows that orchestrate multi-step reasoning, tool use, and real-world task completion with high reliability and user impact.
Lead the ML execution layer for an AI-native assistant, building scalable training/inference systems in Python/PyTorch/JAX to reliably complete real-world tasks with low latency and high uptime.
Lead AI research to build a proactive smart assistant that handles multi-step reasoning, tool interaction, and long-running workflows with high reliability.
Lead the ML execution layer for an AI-native assistant, building scalable training/inference systems in Python/PyTorch/JAX to reliably complete real-world tasks with low latency and high robustness.
Build Google’s next-gen on-device AI framework (LiteRT) to deploy ML models efficiently across Android, Chrome, iOS, and embedded systems with GPU/NPU acceleration.
Build and optimize computer-vision models for Datature’s MLOps platform, integrating cutting-edge neural networks and prototyping new vision algorithms for clients in niche domains like medicine and agriculture.
Senior SRE builds and maintains Voleon’s AI research compute clusters, ensuring 24/7 uptime and performance for ML workloads across on-prem and cloud using IaC, observability stacks, and SRE practices.
Sr Engineer, Applications-2 Location: IN - Hyderabad Remote Type: Hybrid Time Type: Full time Job Description When you join Accurate Background, you’re an integral part of making every hire the start of a success…
Build and deploy advanced agentic AI systems for healthcare, translating LLM research into scalable, low-latency clinical applications that reduce administrative burdens.
Builds and optimizes a compiler that converts AI models into assembly for custom accelerator hardware, using frameworks like LLVM/MLIR and targeting PyTorch/TensorFlow workloads.
Builds and optimizes high-performance ML systems for TPU hardware using JAX, XLA, and Pallas, focusing on inference/training workloads and compiler/runtime tuning.
Build and maintain enterprise Java applications using Spring, REST/SOAP APIs, Docker, and modern testing tools for mission-critical systems in a banking/insurance/telecoms context.
Build and deploy AI models that turn satellite and geospatial data into actionable insights using vision-language models, multimodal systems, and reasoning models in Python with PyTorch/TensorFlow.
Build and optimize Java-based backend services for Motorola’s evidence management software, focusing on performance, scalability, and resilience while collaborating in an Agile team.
Research scientist building and fine-tuning vision and language models, improving robustness, efficiency, and training pipelines using PyTorch/JAX.
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