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.
Build and scale ML infrastructure for Roku’s recommendation engine, including feature stores, inference services, and vector databases to serve millions of users.
Lead a team of ML engineers building recommendation systems that power Roku’s content discovery, using deep learning, reinforcement learning, and generative AI to drive user engagement and revenue.
About Us Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We’re a digital product engineering partner for forward-thinking…
Data Scientist/AI Specialist building data-driven solutions using Python and R, training ML models with TensorFlow and Scikit-Learn, and performing statistical analysis for US federal government clients.
Optimize large-language-model inference engines (vLLM, SGLang, TensorRT-LLM) to boost throughput and cut latency for Cast AI’s Kimchi platform, tuning kernels, quantization, and scheduling across Kubernetes and major clouds.
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
Build and tune ML models for Apple’s Health AI team, applying deep learning and generative AI to health-focused products that impact millions of users.
Stelfox is hiring a Senior Machine Learning Engineer in Dublin for a 12-month initial-term, hybrid role. The engineer designs, develops, deploys and tests production-ready ML solutions with governance and data quality in mind, working with Python, R and Dataiku on AWS/Linux and applying GenAI patterns to deliver client outcomes.
Build and deploy ML models for Apple’s Health AI team, focusing on deep learning and generative AI to improve health-related products for millions of users.
Computer Vision Engineer at an R&D miltech company, working from an office in Kyiv or Lviv to develop and refine thermal-camera detection and tracking algorithms for guidance tasks, with a focus on deploying CV to embedded devices that reach mass production.
Lead a team of ML engineers building AI systems that help restaurant partners thrive on DoorDash, from onboarding to real-time order ops, using LLMs, generative AI, and agentic automation.
Build and scale ML systems for DoorDash’s ad marketplace, optimizing bidding, auctions, budget pacing, and forecasting to balance advertiser, consumer, and platform needs.
Lead AI-driven ranking and relevance systems for DoorDash’s ads marketplace, designing and deploying ML/LLM models to personalize ad delivery in real time across global markets.
Leads AI-driven ads and promotions delivery systems at DoorDash, designing real-time ranking/relevance models using deep learning, LLMs, and sequence modeling to optimize merchant-consumer matching across search/discovery platforms.
Leads AI-driven personalization for DoorDash’s consumer shopping journey, designing and deploying ML models to enhance search, discovery, and recommendations across food, grocery, and retail—scaling teams and mentoring engineers to modernize recommendation systems.
Build and deploy large-scale ML systems to personalize offers and incentives for DoorDash’s DashPass loyalty program, optimizing subscriber acquisition, retention, and churn reduction.
Build and deploy large-scale ML systems that power real-time logistics decisions like delivery assignment and ETA estimation, shaping DoorDash’s fulfillment efficiency and cost.
Builds and deploys ML models for personalization and growth, focusing on recommendation systems and causal inference to enhance DoorDash’s grocery/retail search experience using PyTorch/TensorFlow in Python.
Builds and maintains the shared infrastructure that lets DoorDash teams safely deploy generative AI products, focusing on evaluation, observability, and agent systems using Python, distributed systems, and ML tooling.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
