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Job title: ML Engineer / Researcher, Large Language Models WORK AUTHORIZATION Must be authorized to work in the U.S.; we are unable to sponsor visas for this role. About Knowtex Knowtex is building the future of voice…
Hands-on senior AI engineer in SoFi's independent risk organization: set the technical direction for a next-gen AI platform, build graph-based agentic LLM orchestration, fine-tune and serve models at scale, and mentor other engineers. Core stack includes Python, LangGraph, RAG/LLMs, PEFT/LoRA, vLLM/Kubernetes inference, and Snowflake/DynamoDB.
Staff AI/Data Scientist on ServiceNow's Armis/VMDR cybersecurity team, owning ML and LLM initiatives end-to-end — from research and prototyping to production-grade deployment of vulnerability detection, prioritization, and remediation features. Core stack: Python, AWS, Spark, and modern GenAI/LLM tooling.
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.
Percepta is hiring an AI Infrastructure Engineer in New York City to own the infrastructure, deployment, and operational reliability behind its agentic AI systems. Day to day that means hardening Terraform across AWS, Azure, and GCP, building SRE practices (on-call, SLOs, incident response), and operating an observability stack for autonomous agents.
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.
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.
About Tensordyne Tensordyne is building a new class of AI inference system designed for high-performance, power-efficient deployment of the world’s most demanding generative AI workloads. Our platform combines…
Turn raw multi-camera footage into the 3D, verified datasets that frontier robotics labs train on. About Hub Hub is one of the fastest-growing data companies, providing real-world training data to the largest AI and…
Senior backend engineer at Distributed Spectrum builds and operates the core platform services that ingest global RF sensor data, serve ML models (GPU inference), and orchestrate LLM-driven agents. Day to day is Python/Go/Rust backend and distributed systems work on AWS with gRPC, streaming queues, and model-serving tech like Triton/vLLM.
Lead the reliability and architecture of Vinted’s ML Deployment platform, ensuring stable, high-performance serving of ML models and LLMs at scale across a 200+ GPU fleet.
Roboyo AI, an applied AI and agentic automation consultancy, seeks a hands-on AI Engineering Lead/Architect in Ukraine to build and lead a small AI engineering team and turn prototypes into production-grade, governed systems for enterprise clients. Roughly two-thirds of the week is hands-on architecture, code and review on Azure and Python.
Owns the strategy, roadmap and delivery of Radiant's MLOps and ML platform services on its GPU-powered neocloud — defining training, fine-tuning, deployment, inference and monitoring products. Partners with engineering on GPU orchestration, Kubernetes, storage/networking and developer tooling (APIs, SDKs, CLIs).
Senior DevOps engineer for DriveNets' cybersecurity unit, owning the Kubernetes delivery platform for an AI-powered security product: portable Helm charts, self-hosted operators (PostgreSQL, Kafka, Elasticsearch, Redis), ArgoCD GitOps, zero-downtime releases, observability, and LLM/GPU inference infrastructure, often in air-gapped customer environments.
Ищем ML-инженера с сильным практическим опытом работы с LLM: fine-tuning, post-training, evaluation и inference. Важно: это не позиция классического ML Engineer / Data Scientist. Нужен кандидат, который самостоятельно…
Responsibilities Analyze business problems and identify opportunities for AI/ML solutions. Perform Exploratory Data Analysis (EDA), data preprocessing, and data analysis. Develop, optimize, and evaluate Machine…
Principal Software Engineer on Microsoft's ad-platform AI team, building GPU-accelerated inference infrastructure for LLM and deep learning models that power retrieval, ranking, and classification for online advertising. Day to day: designing extensible ML frameworks, optimizing GPU kernel/inference performance, and building MLOps tooling.
Overview Join us as we Rise to the Challenge At KCI, we’re building an enduring community that provides unparalleled value to our employee-owners. We make our mark designing and delivering our world-class solutions, so…
Research and build AI-powered tools that improve psychological wellbeing using large language models, reinforcement learning, and computational methods in a fast-moving startup environment.
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