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This co-op researcher role at Huawei's Noah’s Ark lab involves conducting research on LLM post-training, agentic coding, and reinforcement learning. The researcher will design experiments, build scalable infrastructure, and develop intelligent agents using Python and PyTorch.
Build and refine offline computer-vision models that measure autonomous-driving performance using large-scale sensor data and foundation-model techniques.
Lead a London-based team building offline scene-understanding models for autonomous vehicles, adapting on-vehicle and foundation models to robust, scalable evaluation systems that guide AV development and customer deliverables.
Lead AI/ML engineer designing, building, and deploying production-grade AI systems in AWS for federal clients, mentoring teams, and evaluating emerging technologies.
Own the platform roadmap for Fireworks AI’s inference product, balancing performance, cost, and trust while shipping features for API, UI, and CLI to serve AI-native startups and enterprises.
The Lead Machine Learning Engineer will design and train state-of-the-art models for autonomous driving, simulation, and ML platforms. The role involves leading small teams to develop foundation and generative world models for commercial-scale robotics applications.
Own the roadmap for Fireworks AI’s training product, collaborating with customers to turn bespoke tuning jobs into scalable, self-serve capabilities across API, UI, and CLI.
Senior ML/AI Modeler on Block's Risk Automation ML team, using agentic/generative AI to automate risk and compliance. Works with payment transactions, LLMs, PyTorch, Snowflake, and cloud services (GCP/AWS) to build and deploy ML models at scale.
LAKEORA is a Riyadh-based data and AI advisory firm and a pure-play Databricks partner. We build the governed data platforms that Saudi enterprises run their decisions on, going deep on one platform rather than wide…
Senior AI/ML Engineer designing, building, and deploying production ML and LLM systems (RAG, fine-tuning, evaluation) using Python, PyTorch, HuggingFace, and AWS/Azure for a digital agency's enterprise and non-profit clients.
Lead AI-driven automation for advanced semiconductor packaging, building workflows that optimize substrate, interposer, and bridge interconnect designs using EDA tools and ML frameworks.
Member of Technical Staff – World Models About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from…
Member of Technical Staff – Robotics About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from…
Member of Technical Staff - ML Performance About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from…
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will…
Member of Technical Staff - AI Infrastructure About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers…
Softhouse is seeking an AI/ML developer in Luleå to guide clients from strategy to production-ready AI solutions. The role involves hands-on development using frameworks like PyTorch and LangChain, while acting as a consultant to translate business needs into technical implementations.
This role involves developing high-quality C++ embedded software for automotive AI-driven systems, such as occupant monitoring. The engineer will collaborate with cross-functional teams to integrate and optimize deep learning models for deployment on resource-constrained automotive hardware.
Leads technical delivery of confidential compute projects, bridging global clients, internal engineering, and operations to deploy high-performance accelerators in cloud/on-prem environments for mission-critical workloads.
The Data Scientist ensures accuracy and enrichment of real estate datasets (deeds, assessments) for ICE’s Fixed Income and Data Services, while contributing to AI/ML initiatives. Daily tasks include validating data, automating SQL/Spark workflows, developing predictive models, and collaborating with engineering/product teams to deliver insights and production-grade solutions.
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