Algorithm Engineer
פורסם 24 במאי · 160 מועמדים
התפקיד במילים פשוטות
מהנדס/ת אלגוריתמים זה יחקור, יתכנן ויפרוס מודולי לוקליזציה מבוססי למידת מכונה וקלאסיים עבור ניווט פנימי. התפקיד כולל בעלות מלאה על מחזור הפיתוח, החל מתאוריה ועד אב טיפוס, אימות וייצור בקנה מידה גדול.
- B.Sc. in Electrical Engineering from a top-tier university (GPA 85+)
- 3+ years of hands-on experience in algorithm design
- experience in Signal Processing, Kalman/Particle Filters, or Deep Learning
- Mathematical Fluency: You can digest an academic paper and translate its theory into a working simulation
- highly proficient in Python
- M.Sc.
- background in cloud platforms
- background in software engineering
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למהנדסים בעלי תואר ראשון בהנדסת חשמל ממוסד מוביל וניסיון של 3+ שנים בתכנון אלגוריתמים, במיוחד בעיבוד אותות, מסנני קלמן/חלקיקים או למידה עמוקה. נדרשת שליטה במתמטיקה ובקידוד בפייתון ומטלב, עם חשיבה מונחית נתונים.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןAlgorithm Engineer | Shape the Future of Indoor MobilityThe Mission: GPS Ends Where We Begin
Have you ever wondered why we can navigate across continents with a click, but lose our way the moment we step inside a mall, hospital, or transit hub? At Oriient, we’ve solved that.
We are the pioneers of the world’s most advanced, hardware-free Indoor GPS. Using Earth’s magnetic field and cutting-edge AI, we provide hyper-accurate positioning without the need for expensive beacons or WiFi. We are a VC-backed team in a hyper-growth phase, and we’re looking for a brilliant Algorithm Engineer to help us scale this "impossible" tech globally.
The Impact You’ll Make
As a core member of our elite Algorithm Team, you won’t just be tweaking code—you’ll be architecting the engine of indoor navigation.
Innovate at the Core: Research, design, and deploy classical and ML-based localization modules that function in complex, real-world environments.
Full-Cycle Ownership: Move seamlessly from whiteboard theory and academic papers to prototyping, validation, and high-scale production.
Solve the "Unsolvable": Use Earth’s magnetism, sensor fusion, and signal processing to overcome the physical limitations of indoor environments.
Build the Future: Develop the pipelines and infrastructure that allow us to evaluate new features against massive, real-world datasets.
Who You Are
You are a mathematical tinkerer who loves seeing your equations come to life in a physical product. You thrive in small, high-powered teams where your individual contribution is visible and vital.
Your Toolkit:
Academic Foundation: B.Sc. in Electrical Engineering from a top-tier university (GPA 85+). An M.Sc. is a big plus.
Real-World Experience: 3+ years of hands-on experience in algorithm design, specifically in Signal Processing, Kalman/Particle Filters, or Deep Learning.
Mathematical Fluency: You can digest an academic paper and translate its theory into a working simulation.
Coding Craft: You are highly proficient in Python and MATLAB. If you have a background in cloud platforms or software engineering, you’ll feel right at home.
Data-Driven Mindset: You enjoy digging into large datasets to find the "why" behind anomalies and edge cases.
Why Oriient?
The Tech Stack: Work with a unique blend of geomagnetic positioning, IMU sensor fusion, and AI.
The Scale: Our tech is being deployed across retail giants, smart buildings, and massive healthcare campuses.
The Culture: We are a "flat" R&D group. No red tape—just top-notch engineers solving hard problems and moving fast.
The Growth: We are in a hyper-growth stage; your career trajectory here is limited only by your ambition.
Ready to help the world find its way? Let’s talk.
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שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- B.Sc. in Electrical Engineering from a top-tier university (GPA 85+), 3+ years of hands-on experience in algorithm design, experience in Signal Processing, Kalman/Particle Filters, or Deep Learning, Mathematical Fluency: You can digest an academic paper and translate its theory into a working simulation, highly proficient in Python