Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Machine Learning Engineer working on deep learning for MEMS IMU sensors, denoising signals and optimizing edge deployment on microcontrollers.
Senior Machine Learning Engineer at Roblox building systems for Embodied AI/NPCs and ML Platform, focusing on data pipelines, model training, real-time inference optimization, and distributed inference systems using Kubernetes and cloud providers.
A Senior Machine Learning Engineer at Roblox focuses on designing and implementing large-scale recommendation systems using deep learning, generative AI, and other advanced techniques to enhance user engagement and discovery on the platform.
Senior MLE on Patreon's Relevance team, architecting and scaling low-latency live inference infrastructure, feature stores, and deployment pipelines that power search, feed ranking, and creator-fan matching, primarily using Python and distributed systems.
Senior Machine Learning Engineer at Portcast, a Singapore-based logistics technology startup, responsible for taking ML models into production, owning the full lifecycle from research to deployment, and working on visibility, prediction, demand forecasting, and freight audit problems.
Build and scale the core platform that powers AI interactions, integrating LLMs and distributed systems with TypeScript/Node.js and Rust/Go/C++ on AWS/Azure/GCP.
Teach a part-time online course on deep learning for Computer Vision and NLP, covering PyTorch/TensorFlow, CNNs, RNNs, and practical ML workflows to master’s students.
ML Engineers/researchers specializing in speech/audio or LLMs build next-gen voice AI for healthcare, focusing on medical speech-to-text and clinical documentation. Core work includes training domain-specific models, optimizing inference, and deploying AI systems at scale for clinicians.
About the Role There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are…
Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to deliver on that vision, we’ve…
As AI/ML Ops Engineer, you own the operational backbone of Blackpoint's AI/ML capability, taking models from training to production deployment, building deployment pipelines, and ensuring production-grade systems. Core technologies include AWS, SageMaker, Bedrock, Kafka, Spark, MLFlow, Terraform, Docker, Kubernetes, Python, and Bash.
Зарплата: 200000–280000 RUR (на руки) Мы аккредитованный системный интегратор, работаем с крупнейшими заказчиками по формату IT-аутстаффинга. Сейчас мы ищем опытных инженеров, которые смогли бы усилить проекты наших…
Design and deploy machine learning systems to detect spam, abuse, and security threats for Proton’s encrypted email and services, using Python, LLMs, and agentic AI in a privacy-focused environment.
Build and deploy machine learning models to enhance cybersecurity threat detection and automate SOC workflows using Python, ML frameworks, and security data pipelines.
Build and optimize classical computer vision models (pose estimation, SLAM, camera calibration) and deploy them on NVIDIA Jetson edge devices in real-time, focusing on performance and resource constraints.
RESPONSIBILITIES: Kforce has a client seeking a Lead Machine Learning Engineer in Fort Lauderdale, FL to lead the design, development, and deployment of enterprise-scale machine learning solutions that drive customer…
Job Summary The Machine Learning Engineer Lead will define and lead the architecture of scalable AI/ML and agentic systems across the global product portfolio. This senior technical leadership role will focus on…
Machine Learning Engineer at Data Wizards responsible for translating business needs into technical ML requirements, designing and deploying ML solutions in production, and building cloud-based ML pipelines using Python, SQL, and cloud technologies like Azure.
Wir möchten unser Team im Bereich Machine Learning verstärken und sind dabei sowohl offen für Talente am Anfang ihrer Karriere als auch für Menschen, die bereits Berufserfahrung gesammelt haben. Entscheidend sind…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
