Get AI-powered advice on this job and more exclusive features. This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $120,000.00/yr - $160,000.00/yr Recruitment Consultant-Credit Risk and Data Science (Phoenix) at Harnham Senior Machine Learning Engineer Location: Phoenix, AZ (Hybrid - 4 days onsite, Wednesdays WFH) Compensation: $120K-$165K base + 10% bonus + equity (0.05-0.15%, negotiable) Start Date: Targeting offer by end of April; ideal start mid-May Work Authorization: U.S. Citizen or Green Card holder required About the Company Our client is an AI company based in Phoenix, AZ, developing advanced generative AI solutions tailored to the nuclear power industry. Their flagship platform leverages large language models (LLMs) trained on nuclear-specific datasets to automate and optimize complex engineering processes. Their technology is designed with compliance, safety, and adaptability in mind-serving both cloud and on-premise environments. About the Role The company is hiring two Senior Machine Learning Engineers to build a novel, research-driven forecasting engine for nuclear equipment performance. The role leans heavily into research and is ideal for candidates with academic or self-directed ML research experience. You'll work on custom neural net architectures-not just off-the-shelf models-and collaborate with a small, high-impact team. Key Responsibilities: Design and develop custom neural networks and LLMs Build a multimodal model integrating logs, signals, and performance data Conduct research, literature reviews, and early-stage ML experiments Clean datasets and contribute to both research and early production code Collaborate with engineers, analysts, and domain experts Ideal Candidate Will Have: 3+ years working directly with LLMs in a tech/startup environment 5+ years total ML experience (if shifted to LLMs more recently) Strong understanding of time series data, diagnostics, and forecasting Deep experience with PyTorch and neural architecture design Strong academic or independent ML research background (papers, projects, or publications) Must-Have: Python, PyTorch (or TensorFlow), Cloud (AWS, Azure, or GCP) Seniority level Entry level Employment type Full-time Job function Other Industries Nuclear Electric Power Generation #J-18808-Ljbffr
Harnham