Engineering Manager, Model & Algorithm Evaluation & Quality, Sensing & Connectivity

What you'll do

• Set model evaluation and end-to-end quality strategy, including benchmarks, protocols, and validation of training data, features, and labels.
• Lead automation, continuous integration, analytics, and monitoring to measure feature quality and performance across releases.
• Hire, coach, and grow the team while coordinating quality and bug resolution with engineering and cross-functional partners.

What they ask for

• BS, MS, or PhD in Computer Science / Electrical Engineering or equivalent
• 5+ years of relevant industry experience
• 2+ years leading and managing an engineering team, with a track record of growing engineers' skill sets and creating meaningful career growth
• Experience evaluating AI/ML models, including crafting benchmarks and evaluation protocols and performing statistical analysis; proficiency designing AI-assisted workflows using GenAI to accelerate testing, debugging, and metrics analysis

Nice to have

• Experience evaluating foundation models or LLMs, such as building eval harnesses, golden datasets, LLM-as-judge pipelines, or human-in-the-loop evaluation
• Experience with sensor, time-series, or on-device ML models, data pipelines, automation, test infrastructure, CI systems, or hardware-software integration

Pay

$206,200 and $356,400 (base salary)

Tools

AI/ML, GenAI, LLMs, iOS, watchOS, continuous integration

AI focus

Evaluates probabilistic, on-device AI/ML models for location-context features; uses GenAI to accelerate testing, debugging, and metrics analysis; work includes foundation-model integration, adaptation, and tuning.