What are the responsibilities and job description for the Machine Learning Engineer position 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
Exposure to multimodal modeling (text, audio, images, signals, etc.)
Strong academic or independent ML research background (papers, projects, or publications)
Tech Stack:
Must-Have: Python, PyTorch (or TensorFlow), Cloud (AWS, Azure, or GCP)
Nice-to-Have: Docker, Linux, DevOps exposure
Perks & Benefits:
Blue Cross Blue Shield Healthcare
Unlimited PTO 11 paid holidays
Catered lunch on Fridays
Equity options negotiable for standout candidates
Salary : $120,000 - $160,000
