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- Aufgaben: Join our core ML team to enhance self-supervised learning software and tackle exciting computer vision challenges.
- Arbeitgeber: Lightly is a fast-growing AI startup backed by YCombinator, with teams in Zurich, Prague, and San Francisco.
- Mitarbeitervorteile: Enjoy an attractive cash & equity package and the flexibility of remote work options.
- Warum dieser Job: Make a massive impact in a cutting-edge field while collaborating with talented developers and researchers.
- Gewünschte Qualifikationen: MSc or PhD in Computer Science, deep learning experience, and excellent Python skills are essential.
- Andere Informationen: Engage with the community at conferences and stay updated on the latest research.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only. Learn more about us on our website.We are a team of talented developers and researchers in Zurich, Prague, and San Francisco and are backed by YCombinator. Every member of the team is going to have a massive impact.Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer an attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.We use a modern stack of:PyTorch, Python, Typescript, C++, Rust, React, NodeJSDocker, Kubernetes, Google Cloud Platform, AWSTasksAs a Machine Learning Engineer in the core ML team, you will be part of a team which works mainly on our open-source package for self-supervised learning and similar internal frameworks.Particularly, you will get to:Work on our open-source Python package for self-supervised learning: Website support for finetuning pretrained models for downstream tasks including many different computer vision tasks like object detection, segmentation, tracking, and more.Keep up with current research in self-supervised learning and multi-modal models.All these tasks will include working with state-of-the-art technology such as self-supervised learning, model distillation, vision language models, and deep learning for computer vision in general.Participate in and hold paper sessions about the latest papers in the field.Represent the company at machine learning conferences and engage with the community.In general, for this role, expect to use the stack we use for our open-source package Website, you have:MSc or PhD in Computer Science, Engineering, or a related fieldExperience in deep learning and computer vision, ideally in self-supervised learning and you have worked with PyTorch.Excellent Python coding skills and knowledge of software engineering best practices. Experience with testing and typed Python is a big plus.Experience with building and shipping software solutions.Strong passion for new technologies and interest in keeping up with the latest technologies and publications in deep learning.BenefitsWe offer an attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.Interested? Contact us!We look forward to getting to know you! #J-18808-Ljbffr
Machine Learning Engineer (OSS) in a fast-growing AI Startup Arbeitgeber: Lightly
Kontaktperson:
Lightly HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer (OSS) in a fast-growing AI Startup
✨Tip Number 1
Familiarize yourself with the latest research in self-supervised learning and multi-modal models. This will not only help you understand the current landscape but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Showcase your experience with PyTorch and any relevant projects you've worked on. Be prepared to discuss specific challenges you faced and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 3
Engage with the machine learning community by attending conferences or participating in online forums. Networking can lead to valuable connections and insights that may benefit your application.
✨Tip Number 4
Highlight your passion for new technologies and continuous learning. Share any recent courses, certifications, or personal projects that showcase your commitment to staying updated in the field of deep learning.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer (OSS) in a fast-growing AI Startup
Tipps für deine Bewerbung 🫡
Understand the Company: Before applying, take some time to understand Lightly's mission and the specific challenges they are addressing in the field of deep learning. Familiarize yourself with their open-source projects and how they contribute to the community.
Tailor Your CV: Highlight your experience with deep learning, computer vision, and self-supervised learning prominently in your CV. Make sure to include specific projects or contributions you've made using PyTorch and any relevant technologies mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and new technologies. Discuss why you are excited about the opportunity at Lightly and how your background aligns with their needs, particularly in relation to their open-source package.
Showcase Your Knowledge: If applicable, mention any relevant research papers you've read or contributed to in the field of self-supervised learning. This demonstrates your commitment to staying updated with current trends and your ability to engage with the community.
Wie du dich auf ein Vorstellungsgespräch bei Lightly vorbereitest
✨Show Your Passion for Machine Learning
Make sure to express your enthusiasm for machine learning and self-supervised learning during the interview. Share specific projects or research that inspired you and how they relate to the work at Lightly.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with PyTorch, Python, and any other relevant technologies mentioned in the job description. You might be asked to solve a coding problem or explain your approach to a deep learning project you've worked on.
✨Stay Updated on Current Research
Since the role involves keeping up with the latest research, familiarize yourself with recent papers in self-supervised learning and computer vision. Be ready to discuss these topics and how they could apply to Lightly's projects.
✨Engage with the Community
Highlight any experience you have representing your previous companies at conferences or engaging with the machine learning community. This shows your commitment to the field and your ability to network effectively.
