科技職缺
職缺列表
ML Architect (USA)
ML Architect owning large-scale ML architecture end-to-end — distributed training/inference on GPU infrastructure, model optimization (quantization, mixed precision, memory), and productionizing AI systems from research to deployment using PyTorch/JAX.
Lead ML Engineer (USA)
Hands-on technical lead owning the full ML lifecycle — data prep, training, evaluation, GPU-based serving, deployment, and production operations — for a small remote team turning advanced machine learning into dependable product experiences. Core stack: Python, PyTorch/JAX on GPU infrastructure.
ML Engineer (USA)
Remote ML Engineer building production foundations for next-gen AI systems — designing model serving, deployment pipelines, evaluation, monitoring, and scalable ML infrastructure using Python, PyTorch/JAX, and cloud/GPU environments.
Machine Learning Engineer - Intelligent Quality Systems
ML Engineer on Apple's Intelligent Quality Systems team, building ML-powered systems using LLMs, computer vision, and retrieval to improve OS software testing and quality at scale across the software lifecycle.
Senior AI Engineer (Edge Dialog Systems)
Owns the on-device conversational AI pipeline for an industrial safety wearable, combining NLU/dialog systems, small language model inference, and embedded engineering under tight latency/memory budgets with deterministic safety guardrails.
Python Software Engineer
Python Software Engineer at a defense-focused small business, designing and developing scalable software applications that deliver AI, machine learning, simulation, and mission planning capabilities to Department of Defense customers alongside cross-functional teams of engineers and data scientists.
Staff + Sr. Software Engineer, Scaling
Staff/Senior Software Engineer role on the Scaling team at Anthropic. The posting outlines the company's AI safety mission but provides minimal detail on day-to-day technical responsibilities.
Software Engineer, Business Technology
Software Engineer on Anthropic's Business Technology team in London, supporting the company's mission to build safe and beneficial AI systems. The job posting excerpt does not specify day-to-day responsibilities or required technical skills.
Product Policy Manager, Product Risk
Policy manager role focused on product risk at Anthropic, working alongside researchers, engineers, and policy experts to ensure AI systems are safe, interpretable, steerable, and beneficial.
Manufacturing Engineer - Data Center Hardware
Manufacturing Engineer supporting data center hardware operations at Anthropic, an AI research company building safe and beneficial AI systems. Day-to-day focus is on the manufacturing engineering of the physical compute infrastructure underlying AI training and deployment.
IT Systems Engineer, Mobile Client Platform Engineer
IT Systems Engineer role focused on mobile client platform engineering at Anthropic, an AI safety company building beneficial AI systems.
Data Scientist, Product
Data Scientist on the Product team at Anthropic, a San Francisco-based AI safety company building reliable, interpretable, and steerable AI systems. The posting's detailed role description is truncated in this excerpt.
Applied AI Engineer, Beneficial Deployments (Life Sciences)
Applied AI Engineer on Anthropic's Beneficial Deployments team, focused on deploying AI systems safely for Life Sciences use cases. On-site role based in New York.
Technical Product Owner
Technical Product Owner inside an AI Value Pod at JAVLN's AI-native SaaS for insurance intermediaries. Translates customer needs into precise specifications for AI agents to build from, owns the backlog, defines acceptance criteria and KPIs, and validates AI-generated work on the JAVLN Officetech product.