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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - ML Training Pipelines - **Company:** Applied Intuition - **Location:** Sunnyvale, United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Databases, Data Discovery, Information Engineering, Python (Programming Language), PostgreSQL, Machine Learning, DataOps, TypeScript, Graphics Processing Unit (GPU), ReactJS, Large Language Models, Kubernetes, Machine Learning Operations, Data Pipelines, Docker, Golang, Microservices - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-ml-training-pipelines-appliedintuition-com-8294985 ## About the Role * 5+ years of relevant work experience * Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs * Created or worked on microservices and/or databases for data-oriented software * A hunger to learn and grow into a position of ownership and impact on a new product team * U.S. citizenship (legally required) and eligibility to obtain a security clearance Nice to have: * Full-stack experience React, TypeScript Python, Golang or similar * Experience with Docker, Kubernetes, Opensearch and Postgres * Direct experience with foundation models, including LLMs and VLMs, for data automation tasks * Background in autonomous driving or robotics perception * Experience with active learning, auto-labeling, or human-in-the-loop ML systems ## Description The Axion Data team at Applied Intuition is building the data engine to train perception models. We build the means to run models at the edge such as Automatic Target Recognition (ATR) models, then backhaul data to our cloud pipeline that ingests and manages this data to enable the continual improvement of these models. As an engineer experienced in MLOps, you will be responsible for both our edge application which runs perception stacks and our cloud data engine which ingests video data to run the next iteration of the model before we deploy it back down to the edge. This includes optimizing our ability to run these models on both the edge and the cloud, as well as building MLOps tooling to gain insight and visibility into the pipeline for our stakeholders. At Applied Intuition, you will: * Construct optimized data pipelines to run ML models * Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles * Integrate foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery * Leverage software-in-the-loop and hardware-in-the-loop testing * Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience ## Related Videos - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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