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Develop and support Embodied AI and robotics systems—simulation environments, ML training/evaluation pipelines, and robotic datasets—using PyTorch/TensorFlow and Azure ML in an onsite agile research team.
Design and build Rust systems-level software for Altra, an AI-powered drone software platform, collaborating with ML engineers to integrate AI/ML pipelines and develop autonomous capabilities in low-latency, high-reliability environments.
Platform engineer designing and operating multi-account AWS infrastructure, EKS clusters, CI/CD pipelines, and internal tooling for a defense AI company, ensuring CMMC/NIST compliance.
The Software Engineer, DevSecOps will build and maintain secure CI/CD pipelines and infrastructure for AI-enabled drone software. The role focuses on implementing security controls, ensuring compliance with frameworks like CMMC and NIST, and hardening the software supply chain.
Helsing is seeking an applied Machine Learning Engineer to develop and deploy detection and tracking models for autonomous drone platforms. The role involves managing the full model lifecycle, from data curation to edge deployment, using frameworks like PyTorch and tools for model optimization.
Who we are Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. We are growing our US operations, cultivating an ambitio u s and committed team of mission-driven…
Build and deploy AI-driven models to optimize ad performance and monetization for publishers using large-scale data pipelines and agentic AI tools in a hands-on role.
At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND…
This role involves researching and developing frontier foundation models for Apple silicon, focusing on pre-training, alignment, and task-specific optimization for vision-language and generative models. The researcher will work on the full training lifecycle to integrate these models into Apple's OS and products.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Get to Know the Team The Fulfilment Tech Family builds the systems that power Grab's marketplaces across Southeast Asia. We design real-time, distributed systems and Machine Learning (ML) solutions that process…
About Turing: Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Solution Marketing Manager, AI based in United States. This is a senior…
Build and deploy AI agents that power Toloka’s platform, fine-tuning LLMs and reinforcement-learning models to automate quality checks and agentic workflows in Python.
Overview Do you want to build the AI platform that trains the world’s most advanced models? Join CoreAI, where we’re building next-generation systems for large ‑ scale reinforcement learning. Our platforms power the…
Lead applied AI research at AMD, using reinforcement learning, agents, and recursive self-improvement to optimize compute and hardware like kernels, compilers, and PPA, partnering with engineering teams to ship results into production.
Staff Software Engineer on Google Ads' ML/LLM team, leading design and optimization of large-scale ML infrastructure and model strategies for search advertising using Python and C++.
Senior AI Engineer developing reinforcement learning algorithms for dexterous manipulation on delivery robots, using deep learning, C++, and Python to translate sensor data into motor commands for real-world grasping and contact-rich manipulation tasks.
This role involves designing Reinforcement Learning environments and technical tasks to evaluate AI models on complex software engineering workflows like debugging and CI/CD. The engineer will use their expertise in languages like C++, Python, or Rust to create reproducible benchmarks and assess AI-generated code quality.
The Senior Software Engineer will build reinforcement learning environments to test AI models on software engineering tasks. The role involves optimizing performance, implementing features, and creating deterministic verification tools using the Model Context Protocol.
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