> Markdown version of [/jobs/ext/3023339-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3023339-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** DECODING HR LLC - **Location:** South San Francisco, CA, United States (Remote available) - **Salary:** $129,000.0 - $331,000.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Systems Engineering, Clinical Data Repository, Design of User Interfaces, Hardware Platform Interface, Human-Computer Interaction, Python (Programming Language), Machine Learning, Sensor Fusion, TypeScript, Extensible Markup Language (XML), Reinforcement Learning, Rust (Programming Language), Scripting, Application Specific Integrated Circuits, Pytorch, Swiftui, Machine Learning Operations, Front End Software Development, Decoding - **Published:** September 21, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-south-san-francisco-ca--1df5c93b-3b99-4da0-ac90-db4f7fd45498 ## About the Role * Have designed, trained, and shipped real-time ML systems that people depend on * Have strong sequence modeling instincts (e.g., in speech, robotics, reinforcement learning, time-series, sensor fusion) * Prefer owning a problem end to end (data, model, deployment, eval) over one layer of a big stack * Are deeply curious to understand and expand human consciousness Helpful (not required) * Familiarity with intracortical brain-computer interface decoding literature (e.g., handwriting and speech decoding, manifold alignment, unsupervised recalibration, cross-participant transfer) * Experience with model compression, quantization, or inference on constrained hardware * Experience in small-data or heavy-distribution-shift regimes Note: No neuroscience background is required. We value simple solutions built from first principles, and some of our best decoding work has come from people who have zero experience with neuroscience., ASIC (Application Specific Integrated Circuit), Budgeting, Clinical Data, Clinical Trial, Data Modeling, Dental Insurance, Implants, JAX (Java API for XML), Machine Learning, Medicine, Neuroscience, Preferred Provider Organization (PPO), Problem Solving Skills, Product Development, Python Programming/Scripting Language, Reinforcement Learning, Residential Construction, Robotics, Rust Programming Language, Systems Engineering, Technical Presentation, Thin Film, User Interface/Experience (UI/UX), Vision Plan, Work From Home ## Description * Train models on neural spike data across sessions and participants so a new user's decode works out of the box, and stays working through weeks of drift without supervised recalibration * Design online adaptation that keeps the closed loop stable while both the model and the user are learning * Compress a full hand-and-arm decoder to run with a tight latency budget on the user's device * Build the pre-training and post-training stack for voice synthesis: self-supervised representation learning on neural recordings, supervised fine-tuning on paired data, reinforcement learning with intelligibility and naturalness rewards, feeding a streaming vocoder that produces speech in real time * Define what evidence justifies shipping a model update to someone's brain-computer interface, then build the eval and rollout infrastructure to meet that bar * Feed learnings back into the hardware platform. Our ASIC, thin-film arrays, and the rest of the brain implant are built in-house and follow your engineering gradient, * Machine Learning: PyTorch, JAX * Backend: Python, Rust, Swift, Bazel * Frontend: Typescript, SwiftUI You may not be a fit if * You prefer remote work. This role is on-site five days a week. The lab, the robot, and your teammates are in the building. So is the job. * You're looking for a 9-to-5 job. The pace is intense. People work hard here because a human being is waiting on the next release. * You prefer narrow, specific scope. We have small teams and high ownership. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [From Zero to Mobile Developer in 45 Minutes With SwiftUI](https://www.wearedevelopers.com/videos/183-from-zero-to-mobile-developer-in-45-minutes-with-swiftui) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 118 - not a total recall](https://www.wearedevelopers.com/magazine/452-dev-digest-118-not-a-total-recall)