Machine Learning Engineer, Assessments at Speak · LumiJobs · LumiJobs

Qualification

PhD is helpful but not requiredExperience with speech/audio MLWhy work at SpeakJoin a fantasticGlobal in nature

Domain expertise in spoken language proficiency assessment (linguistics, applied linguistics, pedagogy, or equivalent experience)
Strong experience designing and running evaluation + validation for assessment/scoring systems, and tailoring approaches to a specific product use case
4+ years building automatic proficiency assessment systems (or equivalent depth in closely related scoring/evaluation domains)
PhD is helpful but not required
Proven ability to ship ML models to production (not only research), including reliability, monitoring, and iteration
Strong generalist ML/analysis skills (statistics, Python, PyTorch/model training)
Ability to operate cross-functionally and communicate clearly with non-technical partners (Content/LD, PM, leadership)

Experience with speech/audio ML
Experience with psychometrics concepts (reliability/validity, calibration)
How we work (collaboration expectations)
This role is designed to be highly collaborative with the Assessment Design Lead. Success depends on a tight loop where constructs/rubrics and model outputs co-evolve — not a sequential handoff.
Why work at Speak
Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets. You'd join at a magical time when a single person could significantly change the course of the company.
Do your life's work with people you’ll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply.
Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo, and you’ll have the opportunity to talk to users in each of these regions on a regular basis as well as travel.

Machine Learning Engineer, Assessments