Apple
AI

Robotics and Machine Learning Engineer - Special Projects Group

Apple · Zurich · $90k - $100k

Actively hiring Posted over 3 years ago
Apple is looking for a world-class machine learning and robotics engineer to accelerate the development and evaluation of AI technologies at the core of our Special Projects Group (SPG) focused on autonomous systems. You will join a team of excellent researchers and software engineers where you can apply your expertise in software engineering, robotics and modern machine learning to shape the future of Apple products. You will work on one of the most challenging technical problems of our time and have the opportunity to innovate and create groundbreaking technology that enables complex autonomous systems.

Tags & focus areas

Used for matching and alerts on DevFound
Robotics Machine Learning Dev
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.