Lattice
Engineering Manager, AI
Remote (Worldwide)RemotePosted Today
Full TimeSeniorRemote
See how this job matches your profile
Sign in for an AI-powered fit score, breakdown, and a tailored resume.
Job Description
Location Requirement:This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.This is Engineering at
Key Highlights
- Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders while fostering a culture of ownership, technical excellence, experimentation, and continuous learning.
- Own the execution and delivery of the AI Platform roadmap, balancing near-term product impact with long-term platform investments.
- Partner closely with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice.
- Lead the development of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that enable every AI product team to confidently build, evaluate, and ship AI experiences.
- Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions.
Qualifications
Preferred Qualifications
- Experience building AI evaluation frameworks, experimentation platforms, or ML infrastructure.
- Knowledge of statistical experimentation, A/B model testing, offline evaluations, or model benchmarking.
- Familiarity with advanced AI optimization techniques such as Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine-tuning, or preference learning.
- Experience building internal platforms and services adopted across multiple engineering teams.
- Experience building AI evaluation frameworks, experimentation platforms, or ML infrastructure.
- Knowledge of statistical experimentation, A/B model testing, offline evaluations, or model benchmarking.
- Familiarity with advanced AI optimization techniques such as Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine-tuning, or preference learning.
- Experience building internal platforms and services adopted across multiple engineering teams.
About the Company
Lattice
View company profile →
Interested in this role?
Sign in or create a free account to see how this job matches your skills, apply with one click, and let our AI tailor your resume.
Sign in to applyAI-powered resume optimization
Save and track your applications
Job Details
Employment Type
Full Time
Experience Level
Senior
Location
Remote (Worldwide)
Work Mode
Remote
Posted
Today