20 beste Stellen als learning engineer in leinfelden echterdingen, bw – aktuell auf Personalsuche

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AI/ML Engineer – Behavioral Safety (m/f/d)

Synapticon GmbH
Schönaich

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenfahrrad-Leasing
Mitgliedschaft im Fitnessstudio
Flexible Arbeitszeiten

Qualifikationen

Künstliche Intelligenz

Vollständige Stellenbeschreibung

WHAT WE ARE LOOKING FOR

Synapticon builds the motion control and actuator technology at the core of next-generation humanoid robots. Our ACTILINK actuator series and Positron Safety AI architecture are deployed in some of the most demanding humanoid and advanced robotics programmes globally.

Right now we're looking for an experienced AI/ML Engineer (3+ years) to join our Safety AI team in Schönaich (close to Stuttgart). You will own the development and productization of machine learning systems that give humanoid robots semantic awareness and reliable safety behavior — from intent recognition to AI-based fall strategies. This is a role for someone who has shipped ML into real-time, safety-relevant systems and wants to set the technical direction for one of the harder problems in humanoid robotics.

HERE'S WHERE YOU MAKE AN IMPACT

Own the integration of multimodal foundation models into our robot safety stack, taking systems from architecture through to production deployment
Design, build, and productize AI-based fall strategy controllers, driving technical decisions on one of the genuinely open problems in humanoid deployment
Architect and optimize ML model inference within the real-time robot control loop, balancing model performance against hard timing constraints
Define benchmarking methodology and lead the evaluation of behavioral safety classifiers for semantic intent recognition across simulation and deployment
Establish evaluation frameworks for AI safety behavior aligned with ISO/IEC TR 5469, setting standards and best practices the team builds on
Mentor and review the work of more junior engineers and contribute to the technical roadmap of the Safety AI team

WHO YOU ARE

At least 3 years of professional experience building and deploying ML systems in production, ideally in robotics, autonomous systems, or another safety-relevant domain
Demonstrated experience integrating ML inference pipelines with ROS2 in real-time control contexts
Hands-on experience fine-tuning and adapting foundation models for specific applications, not just deploying them off the shelf
A track record of code ownership, sound system design, and engineering best practices (testing, reproducibility, documentation)
Deep interest in safety-critical AI as a hard technical and methodological problem, not a compliance checkbox
Solid mathematical foundation in linear algebra, optimization, and probability

WHAT'S IN IT FOR YOU

A warm, international team that truly enjoys working together
Plenty of creative freedom and the opportunity to make a real impact
Flexible working hours and hybrid work options
Short decision-making paths, flat hierarchies, and open communication
Professional development opportunities and exciting projects
30 days of paid vacation
Full-time position (40 hours/week) with a permanent contract
Company pension scheme through Dyno
Flexible working hours when life takes unexpected turns
Company-supported gym memberships through Wellpass
A company-sponsored health program (WLP app, regular physical activities, nutritional coaching, and more)
Job bike program to support a healthy commute (optional)
Birthday vouchers
Snacks and fresh fruit for all employees, plus breakfast every Monday
Free drinks and coffee, of course
Regular global team-building events such as bootcamps, ski trips, and summer BBQs — spouses and children are warmly invited to Friday BBQ events
Modern office spaces

Jetzt bewerben

Erweiterte Suche

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Ich möchte aktuelle Job-E-Mails für Stellen als learning engineer in leinfelden echterdingen, bw erhalten

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