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Build and deploy multimodal LLMs and world models for 3D perception in autonomous vehicles using camera, LiDAR, and radar data.
Machine Learning Engineer at a defense-tech company who owns the training, data, and edge-inference backbone for vision and multi-sensor autonomy models — building data/training pipelines, generating synthetic data, and deploying PyTorch models in real time on Jetson-class embedded hardware.
Seekr is hiring a Staff AI Engineer/Scientist to develop explainable and trustworthy AI systems for mission-critical applications. The role involves bridging research and production engineering to build capabilities for model interpretability, contestability, and hallucination mitigation.
The Principal AI Engineer will design and build the SeekrFlow Edge Builder platform to enable the deployment and management of trustworthy AI solutions across diverse environments including edge and air-gapped systems. The role involves working across infrastructure, security, and AI layers to create scalable, secure, and repeatable deployment workflows.
The Senior Site Reliability Engineer will lead the design, architecture, and observability of Seekr's AI platform to ensure system reliability and performance. The role involves collaborating with engineering teams to manage hybrid cloud infrastructure, automate operational tasks, and handle incident response.
Design and operate Kubernetes-based GPU infrastructure and AI serving platforms for large-scale model training, inference, and autonomous agents using Python, Go, or Rust.
Design and build explainable AI systems that help users understand and contest AI outputs, working with LLMs, RAG, and agent frameworks in a hybrid Austin or Reston office.
A forward-deployed applied ML engineer based in London who embeds with a few EMEA customer accounts and owns their path to production on Fireworks: fine-tuning and post-training LLMs (SFT, LoRA, RLHF), GPU serving and inference optimization, and hands-on integration in customer environments.
A hands-on senior ML engineer in Muscat, Oman who leads and mentors junior engineers while designing, deploying, and operating production AI systems spanning LLMs, OCR, and voice. Core work covers GPU infrastructure and inference optimization, MLOps pipelines, evaluation and observability, and stakeholder communication.
Builds and deploys production-grade GenAI/ML systems (LLM/SLM optimization) for multi-agent architectures in cloud environments, focusing on agent orchestration, RAG pipelines, and inference efficiency.
Team Summary Our distributed team is looking for an experienced Applied Scientist with a strong background in Large Language models to develop high-performance Generative AI features across Cloud and Edge environments.…
Optimize and deploy real-time AI avatars by accelerating LLM, audio, and diffusion model inference to sub-500ms latency using quantization, KV cache tuning, and custom kernels.
Optimize and deploy real-time AI avatar models for sub-500ms latency, focusing on KV cache, quantization, and kernel-level acceleration across LLMs, audio, and diffusion components.
Build and ship deep-learning computer-vision models for AI-powered recycling robots, from research to production in PyTorch.
AI Research Engineer at Prolific AI Research (PAIR) leads independent research on LLM/agent evaluation grounded in human data, alignment techniques, and synthetic data generation, building scalable evaluation frameworks and tooling while publishing papers. Requires 5+ years of AI/ML-focused engineering experience and deep knowledge of LLM evaluation, fine-tuning, and optimization.
Research Engineer at Datadog’s AI lab in Paris builds and scales multimodal AI systems for cloud observability, training world models and autonomous agents using PyTorch, Ray, and GPU clusters.
Lead a 3-person ML team building LLM-powered dialogue systems for Social Discovery Group's social products — owning ML strategy tied to business metrics, running LLM post-training (SFT, LoRA, DPO), designing tool-using agent systems, and building evaluation layers, with ~10–20% hands-on Python work.
Machine Learning Engineer - Kubo Care Location: Bengaluru, India — Hybrid/Onsite Experience: 3–4 years LinkedIn: Kubo Care About Us Kubo Care builds AI-powered, radar-based ambient health monitoring for senior living.…
This is a remote position. We are seeking a Technical Architect with 10+ years of overall technology experience, including proven experience architecting and delivering production Generative AI systems. The ideal…
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