Machine Learning Engineer
Machine Learning Engineer

Machine Learning Engineer

Schlieren Vollzeit 48000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
Sony

Auf einen Blick

  • Aufgaben: Develop and implement algorithms for innovative Sony sensors in a dynamic R&D team.
  • Arbeitgeber: Join Sony, the world leader in image sensors, known for its cutting-edge technology and ethical practices.
  • Mitarbeitervorteile: Work in a collaborative environment with opportunities for personal growth and learning.
  • Warum dieser Job: Be part of shaping the future of imaging technology while enjoying a startup-like culture.
  • Gewünschte Qualifikationen: MSc in Computer Science or related field; experience in Python, Computer Vision, and Deep Learning required.
  • Andere Informationen: Contribute to a diverse team that values individual input and fosters innovation.

Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.

Machine Learning Engineer

For Sony Advanced Visual Sensing

Location: Zurich, Switzerland

We offer an exciting position as part of a small R&D team which develops algorithm prototypes and solutions for future Sony sensors. You’ll be working with innovative, unreleased technology and get an opportunity to influence the future roadmap of Sony Semiconductor Solutions, the world leading image sensor company. Investigate and demonstrate the value of new sensor designs across a diverse range of applications and use cases such as mobile photography, video, automation, AR/XR/VR, and more.

Our team, being acquired in 2019 by Sony, strives to keep its startup spirit alive with a culture of curiosity and high engagement. In this position, you will develop algorithms to exploit the characteristics of new sensors in close collaboration with the colleagues that design those sensors.

If you are passionate about the future of technology, imaging, and sensing, enjoy designing and implementing software and algorithms, and are eager to learn and test new ideas, then join us. At Sony AVS, we value diversity and do our best to nurture a workplace with room for different opinions, personalities, and backgrounds.

To introduce yourself, please take some time to answer the questions under the following link, along with the usual CV-based job application submission:

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Use this link to share more of your background:

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At Sony AVS, you will:

  • Research, develop and implement new algorithms to prototype and validate commercial applications of Sony sensors
  • Work together with the team to improve and future-proof our processes, software and tools
  • Collaborate closely with our computer vision, AI and hardware experts for best system performance and help develop the sensors of the future
  • Develop deep insights into how the world can be understood through photons
  • Coordinate developments within a multi-cultural work environment that spans engineering sites from Japan, Europe, and North America across the Sony Group organization

You should have:

  • MSc or higher in Computer Science, Software Engineering or similar field
  • Proficiency in Python and optimally additional programming and scripting languages
  • Applied experience with Computer Vision and/or Deep Learning algorithms from previous positions, internships or academic projects as well as a solid theoretical background
  • Experience (preferably industry experience) with modern software development methodologies and principles, such as CI/CD, containers, SOLID, etc. as well as MLOps frameworks and tools
  • Confident communication skills and fluency in English
  • Ambition to continuously learn and improve

You can set yourself apart if you have:

  • Experience with various sensing modalities such as conventional CMOS cameras and the corresponding processing stack, event-based cameras, LIDAR, ToF, IMU, structured light etc.
  • Experience in technology transfer, bringing technology from R&D to market, be it through experience in a startup or a product-focused corporate R&D department in a relevant area

The position is within the Sony Advanced Visual Sensing (AVS) group which is an R&D center of Sony Semiconductor Solutions based in Zurich, Switzerland and a former spin-off of the Swiss Federal Institute of Technology (ETH Zurich) and the University of Zurich. We develop novel computer vision algorithms, vision sensors and sensing systems based on our world-leading sensing expertise, including event-based cameras, CMOS cameras and more. We’re a small and dynamic team where everybody can talk to everybody and give inputs on any topic at any time. The team continues to actively shape itself and everybody can have a big influence not only on technical topics but also on our culture and the way we work. We aim to give people the space to learn new things and develop themselves. We value and empower the individual to empower us!

Sony Semiconductor Solutions (sony-semicon.com ) is the world market leader in image sensors, and it is very likely that you knowingly or unknowingly already take your photos with a Sony image sensor. Sony is using its unique technological advantage in image sensors to conquer new fields and markets. If you join us, you will be at the forefront of these activities. We are proud to have been named one of the World’s Most Ethical Companies multiple years in a row.

If this sounds like your next adventure, we’re looking forward to hearing from you!

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Machine Learning Engineer Arbeitgeber: Sony

At Sony Advanced Visual Sensing in Zurich, we offer a dynamic and innovative work environment where your contributions directly shape the future of imaging technology. Our small R&D team fosters a culture of curiosity and collaboration, providing ample opportunities for personal and professional growth while working with cutting-edge sensor technologies. Join us to be part of a diverse team that values every voice and empowers you to make a meaningful impact in the world of image sensors.
Sony

Kontaktperson:

Sony HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Machine Learning Engineer

✨Tip Number 1

Familiarize yourself with Sony's latest sensor technologies and their applications. Understanding the specific innovations and challenges in the field of imaging and sensing will help you stand out during discussions with the team.

✨Tip Number 2

Engage with the computer vision and AI communities online. Participating in forums, attending webinars, or contributing to open-source projects can enhance your knowledge and showcase your passion for the field.

✨Tip Number 3

Highlight any experience you have with modern software development methodologies, especially CI/CD and MLOps. Being able to discuss how you've applied these principles in past projects will demonstrate your readiness for the role.

✨Tip Number 4

Prepare to discuss your collaborative experiences in multicultural environments. Since the team spans multiple countries, showcasing your ability to work effectively with diverse teams will be a significant advantage.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer

Proficiency in Python
Experience with Computer Vision algorithms
Deep Learning expertise
Knowledge of modern software development methodologies (CI/CD, containers, SOLID)
Familiarity with MLOps frameworks and tools
Strong analytical skills
Ability to collaborate in a multi-cultural environment
Excellent communication skills in English
Passion for technology and innovation
Experience with various sensing modalities (CMOS cameras, LIDAR, ToF, etc.)
Understanding of technology transfer from R&D to market
Ambition to continuously learn and improve

Tipps für deine Bewerbung 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, computer vision, and software development. Emphasize any projects or roles that demonstrate your proficiency in Python and other programming languages.

Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and imaging. Discuss how your background aligns with the innovative work at Sony AVS and mention specific projects or experiences that showcase your skills in algorithm development.

Answer the Application Questions Thoughtfully: Take your time to answer the questions provided in the application link. Use this opportunity to share insights about your background, motivations, and how you can contribute to the team’s goals.

Showcase Continuous Learning: Highlight any recent courses, certifications, or self-driven projects that demonstrate your ambition to learn and improve in the field of machine learning and computer vision. This will show your commitment to staying updated with industry trends.

Wie du dich auf ein Vorstellungsgespräch bei Sony vorbereitest

✨Show Your Passion for Technology

Make sure to express your enthusiasm for the future of technology, imaging, and sensing. Share specific examples of projects or experiences that highlight your passion and how they relate to the work at Sony Advanced Visual Sensing.

✨Demonstrate Your Technical Skills

Be prepared to discuss your proficiency in Python and any additional programming languages you know. Highlight your applied experience with Computer Vision and Deep Learning algorithms, and be ready to explain how you've used these skills in previous roles or projects.

✨Emphasize Collaboration and Communication

Since the role involves working closely with a diverse team, showcase your confident communication skills. Provide examples of how you've successfully collaborated with others in a multicultural environment, especially in engineering or R&D settings.

✨Discuss Your Continuous Learning Mindset

Sony values individuals who are eager to learn and improve. Talk about how you stay updated with industry trends, new technologies, and methodologies. Mention any relevant courses, certifications, or self-driven projects that demonstrate your commitment to personal and professional growth.

Machine Learning Engineer
Sony
Sony
  • Machine Learning Engineer

    Schlieren
    Vollzeit
    48000 - 84000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-03-13

  • Sony

    Sony

    10000+
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