Lead Machine Learning Engineer

We're looking for an experienced ML leader to drive the machine learning roadmap across Hoomanely's sensor-driven product ecosystem, with a deep focus on digital signal processing, audio signal analysis, and accelerometer data. You've led ML teams and taken models from research to production before — building CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques into real products. You'll set technical direction, grow a team of ML engineers, and turn raw sensor data into the insight that helps pets live longer, healthier lives.

Responsibilities:

• Define and drive the ML roadmap across the product ecosystem, aligning model development with product and business priorities.
• Lead the design of custom ML models from scratch for digital signal processing, audio signal analysis, and accelerometer data — published papers or demonstrable custom-built models expected.
• Apply advanced techniques — time series analysis, CNNs, RNNs, GANs, LLMs, low-rank adaptation — to solve hard problems in pet wellness technology.
• Build, lead, and mentor a team of ML engineers, setting technical standards and a culture of rigorous experimentation.
• Own sophisticated data analysis and preprocessing pipelines that prepare datasets for ML at scale.
• Establish MLOps practices and infrastructure that get models into production reliably, at scale.
• Set benchmarks for continuously monitoring and optimising model accuracy and efficiency.
• Partner closely with product, engineering, and data science leadership to ship ML into Hoomanely's product ecosystem.
• Stay ahead of the field in ML and signal processing, and drive a culture of research and innovation at Hoomanely.

Skills

ML Engineer, Python, Pytorch, Tensorflow, machine learning