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Part-time remote contractor building reinforcement learning environments to evaluate AI models on software tasks using MCP tools, handling bug fixes, feature development, refactoring, and performance optimization.
Senior Backend Engineer (contractor, ~15 hrs/week) building reinforcement learning environments to evaluate AI models on software tasks like bug fixing, refactoring, and feature development using MCP tools.
Staff DevOps Engineer owning core infrastructure (Kubernetes, CI/CD, IaC, observability) that powers AI/ML systems for heavy industries, working across cloud and on-prem/edge environments.
Staff DevOps Engineer owning core infrastructure (compute, networking, storage, CI/CD) for AI systems deployed in heavy industries, using Kubernetes, Terraform/Pulumi, and cloud platforms (AWS/GCP/Azure) with a focus on ML workloads and observability.
Senior Software Engineer developing 3D design algorithms for additive manufacturing (3D printing) using Python, Java, C++; works in agile environment, collaborates with R&D on experiments and data integration.
Frontend developer at a Montreal startup building with Next.js, React, TypeScript, Tailwind CSS, and Framer Motion, shipping to production weekly in a hybrid role.
Frontend engineer at early-stage startup ELEMYNT building interactive data visualizations and UI for dense datasets, collaborating with researchers and backend engineers.
Design, develop, and maintain scalable backend software solutions using TypeScript/Node.js microservices, PostgreSQL, and AWS to support a clinical metagenomics diagnostics platform for infectious disease detection.
Data Engineer focused on Snowflake platform design, optimization, and governance at a fintech company, working on-site in Mexico City with SQL, Snowpipe, Snowpark, Streams, and Tasks.
Mid-Senior Full-Stack Engineer at a startup building scalable backend services and APIs using Java/Python, React, and AWS, with cross-team collaboration and AI tool usage to boost efficiency.
The Reality This isn't a role where you disappear into your calendar and resurface at the quarterly business review. You'll be closing $100K–$500K+ ACV deals, getting your own calls scored by our own product in…
Bridge legal, security, and policy requirements into real technical controls and documentation for engineers at Firecrawl, an AI web-scraping infrastructure startup. The role demands fluency in both engineering and compliance, with AI tooling as a hard requirement.
Own the end-to-end post-training pipeline—SFT, RL, DPO, evals, distillation, and deployment—on top of SF Tensor's custom GPU compiler and Model Foundry infrastructure, working primarily with PyTorch or JAX.
Design and implement RL and agentic systems that search over massive program spaces to optimize GPU kernels for a high-performance compute compiler, using PyTorch/JAX, LLM agents, and real-hardware reward signals.
Own and build the Model Foundry product surface end-to-end for a high-performance AI compute startup — designing polished NextJS web interfaces, APIs, and backend services that let researchers manage GPU training runs, stream logs, and compare experiments across multiple cloud providers and chip vendors.
Hand-write and optimize GPU kernels across NVIDIA, AMD, TPU, and Trainium for pre-training, inference, and post-training workloads, then encode those optimizations into searchable compiler structures using C++, CUDA, and ISA-level tooling.
Build and extend a search-based GPU compiler (MLIR, LLVM backend) that automatically optimizes AI training/inference kernels across NVIDIA, AMD, TPU, and Trainium targets, working the full pipeline from StableHLO ingestion to direct cubin emission.
Build and scale a serverless GPU container sandbox infrastructure across NVIDIA, AMD, TPU and Trainium for an AI compute startup's compiler and model training workloads, using Go/C++/Rust, gVisor, and low-level Linux systems engineering.
Product Designer owning end-to-end design (discovery through implementation) for mobile (iOS/Android) and web products at a small, fast-moving tech startup.
Design and optimize complex computer systems for Arini's AI-powered healthcare operations platform, focusing on scalability, reliability, and workflow automation for dental enterprises. In-person role in San Francisco.
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