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- Aufgaben: Join our ML team to develop and deploy cutting-edge NLP algorithms.
- Arbeitgeber: Typewise is an AI Customer Service Platform trusted by Fortune 500 companies.
- Mitarbeitervorteile: Enjoy remote work, flexible hours, competitive salaries, and quarterly meetups in cool locations.
- Warum dieser Job: Make a significant impact on innovative products with global potential in a fast-paced environment.
- Gewünschte Qualifikationen: Degree in computer science or equivalent, 2+ years of ML experience, and strong Python skills required.
- Andere Informationen: Be part of a passionate international team with a flat hierarchy and individual ownership.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Typewise (YC S22) is an AI Customer Service Platform for enterprises, designed to elevate and automate customer interactions through custom AI technology tailored to each company’s needs. Trusted by Fortune 500 companies like Unilever and DPD, Typewise reduces effort by up to 50% while enhancing communication quality and customer satisfaction. The platform seamlessly integrates with existing systems such as CRM, ERP, and knowledge bases and enterprise-grade security and privacy protection. We blend leading LLMs with our proprietary AI technology that we develop together with the world-leading ETH Zurich Institute’s AI Center.
We’re looking for a Machine Learning Engineer (full-time, based in Zürich) to join our ML team, which currently comprises three ML Engineers and an MLOps Engineer.
About the role
You will collaborate with our ML team to research, develop, and deploy cutting-edge NLP algorithms and have a direct impact on our product and business. You will have the opportunity to work directly with our enterprise customers, gaining valuable insights into their unique needs and challenges. By analyzing how their customers and employees interact with Typewise, you will develop tailored techniques and solutions that optimize workflows and measurably boost productivity. Additionally, you will contribute to the continuous improvement of our AI technology, ensuring that we remain at the forefront of innovation in the field of NLP.
Why work for Typewise
We’re a 20+ people, passionate, international team based in Zurich, Amsterdam, Belgrade, and beyond. Our company is remote first and we thrive on a fast-paced, fast-growing, flexible environment with flat hierarchy and individual ownership:
- Make a significant impact on the development of a fresh, innovative and growing product with global potential to reach millions of people
- Short decision-making processes, lean and agile approach to development
- Quarterly physical meetups in awesome locations (paid for by the company)
- Flexible hours and calendar year with lean structure
- Competitive salaries with stock option possibilities
Your profile
- Degree in computer science or comparable experience
- 2+ years of professional experience building and deploying ML algorithms
- Excellent programming skills in Python, including clean/modular and production-ready code
- Knowledge of ML techniques, especially NLP, and experience working with LLMs
- Understanding of cloud systems (preferably AWS), and experience with Docker and Kubernetes is a plus
- Team player, inquisitive personality, and a (good) sense of humor
- Positive and open attitude toward clients
Excited? Say hello!
If you want to be part of an innovative and awesome start-up team, and bring your own ideas to life for millions of people, say hello and send us your CV.
Company:
Typewise
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
#J-18808-Ljbffr
Machine Learning Engineer (f/m/x) Arbeitgeber: NLP PEOPLE
Kontaktperson:
NLP PEOPLE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer (f/m/x)
✨Tip Number 1
Familiarize yourself with the latest advancements in NLP and LLMs. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and knowledge in the field, making you a standout candidate.
✨Tip Number 2
Showcase your experience with cloud systems, especially AWS. If you have worked on projects that utilized Docker and Kubernetes, be ready to discuss these experiences in detail, as they are highly relevant to the role.
✨Tip Number 3
Prepare to share examples of how you've collaborated with teams in the past. Typewise values team players, so highlighting your ability to work well with others and contribute positively to a team environment will be beneficial.
✨Tip Number 4
Research Typewise's existing products and customer interactions. Understanding their platform and being able to suggest potential improvements or new features can show your initiative and genuine interest in the company.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer (f/m/x)
Tipps für deine Bewerbung 🫡
Understand the Company: Dive deep into Typewise's mission and values. Familiarize yourself with their AI Customer Service Platform and how it integrates with existing systems. This knowledge will help you tailor your application to show that you're a great fit.
Highlight Relevant Experience: Make sure to emphasize your 2+ years of experience in building and deploying ML algorithms, especially in NLP. Provide specific examples of projects you've worked on that demonstrate your programming skills in Python and your understanding of cloud systems.
Showcase Your Skills: Detail your proficiency in ML techniques and any experience with LLMs. If you have knowledge of Docker and Kubernetes, mention it! Highlighting these skills will make your application stand out.
Craft a Personalized Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company. Share why you're excited about the opportunity to work at Typewise and how you can contribute to their innovative team.
Wie du dich auf ein Vorstellungsgespräch bei NLP PEOPLE vorbereitest
✨Showcase Your NLP Knowledge
Be prepared to discuss your experience with Natural Language Processing (NLP) algorithms. Highlight specific projects where you've implemented NLP techniques and how they contributed to the success of the product.
✨Demonstrate Your Programming Skills
Since excellent programming skills in Python are crucial for this role, be ready to talk about your coding practices. You might even be asked to solve a coding problem during the interview, so practice writing clean and modular code.
✨Understand Their Product and Clients
Research Typewise's AI Customer Service Platform and understand how it integrates with existing systems. Be ready to discuss how you can tailor ML solutions to meet the unique needs of enterprise customers.
✨Emphasize Team Collaboration
Typewise values teamwork and a positive attitude. Share examples of how you've successfully collaborated with others in past projects, and express your enthusiasm for working in a fast-paced, flexible environment.
