Auf einen Blick
- Aufgaben: Lead a team to develop cutting-edge algorithms for Apple’s innovative products.
- Arbeitgeber: Join Apple, a leader in consumer technology that impacts millions globally.
- Mitarbeitervorteile: Enjoy a collaborative environment with opportunities for mentorship and innovation.
- Warum dieser Job: Be at the forefront of technology, shaping the future of computer vision and product quality.
- Gewünschte Qualifikationen: Must have experience in Computer Vision, programming skills in C++ and Python/Matlab, and a relevant degree.
- Andere Informationen: Ideal for those who thrive in dynamic settings and love tackling technical challenges.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Technical Lead – Computer Vision Algorithm
Apple designs consumer products that touch millions. We change the way that people interact with electronic devices around the world. Our team is responsible for scaling the calibrations and validation of Apple’s products to millions of devices and guaranteeing a high level of accuracy for millions of devices. Our solutions are used for design validation before and during New Product Introduction (NPI) and transferred to mass production.
Description
As a Computer Vision Algorithm Team Lead, you will lead a team of talented engineers in developing and implementing effective algorithms for new integrated measurement systems that will guarantee the high quality of Apple products. You will have the opportunity of crafting and innovating the algorithms that will enable highly effective and versatile instruments by using state-of-the-art computer vision approaches.
Responsibilities include:
- Provide technical leadership and mentorship to a team of Computer Vision Algorithm Engineers, fostering a collaborative and high-performing environment.
- Serve as the primary point of contact for internal and cross-functional partners, effectively communicating technical concepts and progress updates.
- Develop and execute comprehensive algorithm validation strategies and experiments, clearly communicating results and recommendations to a diverse audience.
- Contribute to hardware calibration improvements by conducting trade-off analyses and sensitivity studies between hardware and algorithms.
- Lead the design, development, and optimization of robust processing libraries that will be deployed across multiple projects.
- Drive innovation and explore new computer vision techniques to enhance the accuracy and efficiency of our calibration and validation systems.
Minimum Qualifications
- Experienced as a technical lead in Computer Vision algorithm development, ideally within a cross-functional environment. Proven ability to mentor and guide a team of engineers.
- Extensive hands-on experience in programming with C++ and Python/Matlab.
- Excellent communication, presentation, and interpersonal skills, with the ability to build consensus and effectively collaborate within a cross-functional team.
- M.Sc. or equivalent in Computer Science, Physics, or a related field with a focus on Computer Vision and Multi-view Geometry.
Preferred Qualifications
- Demonstrated ability to manage multiple projects simultaneously, adapt to shifting priorities, and dive deep into technical details as needed.
- Deep understanding of algorithm design, development, and validation methodologies.
- Experience with camera calibration is a significant plus.
- Self-motivated, proactive, and results-oriented with a strong sense of ownership.
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Technical Lead - Computer Vision Algorithm Arbeitgeber: Apple Inc.
Kontaktperson:
Apple Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Technical Lead - Computer Vision Algorithm
✨Tip Number 1
Make sure to showcase your leadership experience in computer vision projects. Highlight specific instances where you've successfully led a team, as this role emphasizes technical leadership and mentorship.
✨Tip Number 2
Familiarize yourself with the latest trends and techniques in computer vision. Being able to discuss innovative approaches during interviews will demonstrate your passion and expertise in the field.
✨Tip Number 3
Prepare to discuss your experience with algorithm validation strategies. Be ready to share examples of how you've communicated complex results to diverse audiences, as effective communication is key for this position.
✨Tip Number 4
Network with professionals in the computer vision community. Engaging with others in the field can provide insights and potentially lead to referrals, which can be invaluable when applying for a competitive role like this one.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Technical Lead - Computer Vision Algorithm
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Technical Lead - Computer Vision Algorithm position. Understand the responsibilities and qualifications required, and think about how your experience aligns with them.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in leading teams and developing computer vision algorithms. Provide specific examples of projects where you have successfully implemented algorithms and led a team.
Showcase Technical Skills: Clearly outline your programming skills in C++ and Python/Matlab. Mention any relevant projects or experiences that demonstrate your proficiency in these languages, especially in the context of computer vision.
Communicate Effectively: Since excellent communication skills are crucial for this role, ensure that your application materials reflect your ability to convey complex technical concepts clearly. Use straightforward language and structure your documents logically.
Wie du dich auf ein Vorstellungsgespräch bei Apple Inc. vorbereitest
✨Showcase Your Technical Leadership
Be prepared to discuss your experience in leading teams, especially in the context of Computer Vision algorithm development. Highlight specific examples where you mentored engineers and fostered a collaborative environment.
✨Communicate Clearly and Effectively
Since the role involves serving as a primary point of contact for cross-functional partners, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to communicate effectively with diverse audiences.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss how you've approached algorithm validation strategies and experiments in the past. Be ready to share insights on trade-off analyses and sensitivity studies you've conducted between hardware and algorithms.
✨Highlight Your Programming Expertise
Make sure to emphasize your hands-on experience with C++ and Python/Matlab. Be ready to discuss specific projects where you utilized these programming languages to develop and optimize algorithms.