Senior time-series data and ML research engineer | MUST Visibility · Teeming.ai
MUST Visibility
Must Visibility provides real-time defect detection to reduce manufacturing waste. It uses AI-based mathematical models to identify defects as parts are produced. The product is a B2B offering for manufacturing quality control, focusing on preventing costly imperfections with in-process analysis. The company is a spinoff aiming to be founded in May 2025. Must Visibility targets manufacturers seeking to improve yield and reduce downtime through automated defect detection and real-time analytics.
Must Visibility provides real-time defect detection to reduce manufacturing waste. It uses AI-based mathematical models to identify defects as parts are produced. The product is a B2B offering for manufacturing quality control, focusing on preventing costly imperfections with in-process analysis. The company is a spinoff aiming to be founded in May 2025. Must Visibility targets manufacturers seeking to improve yield and reduce downtime through automated defect detection and real-time analytics.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Mobile Developer
ContractUtrecht, NL
Contract • Utrecht, NL
Product Designer
Full-timeBelgrade, RS
Full-time • Belgrade, RS
DevOps Engineer
Part-timeBelgrade, RS
Part-time • Belgrade, RS
Machine Learning Engineer
Full-timeMunich, DE
Full-time • Munich, DE
Frontend Developer
InternshipAmsterdam, NL
Internship • Amsterdam, NL
Mobile Developer
Full-timeNiš, RS
Full-time • Niš, RS
About MUST Visibility FlexCo
MUST Visibility FlexCo is a deep-tech spin-off, developing anoMLix - an AI-driven software platform for real-time, explainable defect detection and tool-wear estimation in CNC machining.
The second pillar of the company focuses on product lifecycle management (PLM) in the industrial sector, primarily in the area of digital transformation.
We are a growing interdisciplinary team combining mechanical engineering, mathematics and data science; supported by partners from academia and industry.
Your role
As a
Time-series data & ML research engineer
, you will play a key role in developing our data-driven manufacturing models. Your tasks:
Further development
of
time-series data approaches
Implementing
machine learning methods based on high-frequency machining data
Tasks related to
signal segmentation
Guiding a team in implementing and validating algorithms for real-time data analysis
Developing novel & explainable models
Your experience
Strong background in one or more of the following domains:
Time-series know-how
Background in Computer Science, Electrical / Electronics engineering
,
Physics or
Applied Mathematics
or related fields
.
Research or industrial experience in time-series data analysis, signal analysis, and data-driven models.
Strong proficiency in Python and C++.
Familiarity with
machining processes
is a plus.
We value curiosity, scientific integrity, and hands-on problem-solving ability.
What we offer
A
key technical position
in a fast-growing spin-off
Opportunity to
shape the next generation
of explainable AI models in manufacturing
Flexible working hours, hybrid work and access to modern R&D infrastructure
