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Member of Technical Staff, Post-Training, RL Environments
Research engineer building the data pipelines and sandboxed execution environments that power reinforcement-learning post-training for a frontier AI lab. The role owns data collection for long-horizon RL tasks, reward-hacking prevention, and scalable multi-agent execution environments.
Member of Technical Staff, Kernels
Mirendil is hiring an engineer to design, implement, and optimize custom ML kernels for its frontier AI model training stack, working at the hardware/software intersection to improve performance, reduce memory bandwidth bottlenecks, and enable low-precision arithmetic formats.
Member of Technical Staff, Infrastructure
Infrastructure engineer at a frontier AI research lab, owning the compute and cloud foundation for model training and inference: Kubernetes/GPU cluster operations, sandboxed secure execution for agents, long-running agent state management, and cross-cloud networking.
Member of Technical Staff, Inference
Owns the inference stack for a frontier AI research company, building high-throughput, low-latency serving systems for large models. Works across GPU/accelerator optimization, distributed inference frameworks (vLLM, SGLang, TensorRT-LLM), and inference-time optimizations like speculative decoding, quantization, and KV cache management.
Backend Engineer
Backend engineer on the data platform team building real-time API integrations, Kafka streaming systems, Spark and Airflow pipelines, and data services powering the application layer. Core stack includes distributed systems, relational databases (Django), and AWS/Terraform/EKS.
Robotics Software Intern
Internship on the robotics software team at Multiply Labs, building production-ready software for robotic biomanufacturing platforms. Work spans hardware communication modules, motion control and trajectory planning algorithms, sensor data processing, and simulation environments for robot validation, using Python and robotics principles.
Senior Backend Engineer
Senior backend engineer at Peec AI, an analytics platform tracking brand visibility across AI search engines. The role owns and hardens the systems behind scraping, chat processing, source ingestion, and analytics — building reliable, cost-efficient TypeScript services on Bun with GCP, Kubernetes, queues, and observability tooling.
Forward Deployed Engineer
Forward Deployed Engineer at Sola, an AI-native enterprise process automation platform (AI agents replacing legacy RPA). The role blends hands-on debugging and production coding with customer-facing work: diagnosing workflow failures via logs, browser tools, APIs and code, building custom integrations, and onboarding enterprise customers, with occasional travel.
Senior Research Infrastructure Engineer
Builds and operates the software and infrastructure that let HUD's researchers run, collect, and evaluate frontier AI agent experiments at scale — environment execution, trajectory collection, data pipelines, and evaluation tooling, primarily in Python on Docker/Linux/cloud.
Ops/Developer Platform Engineer
Ops/Developer Platform Engineer on the DevOps and MLOps team at an AI inference systems company, maintaining CI pipelines for a monorepo, cloud dev/build environments, internal Rust developer services, GCP infrastructure, and agentic workflows.