Staff Engineer, Semantic Search & Information Retrieval

Staff Engineer, Semantic Search & Information Retrieval

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Cohere

At a Glance

  • Tasks: Design and improve innovative search models for information retrieval.
  • Company: Cohere, a forward-thinking tech company focused on diversity and inclusivity.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on collaboration and career advancement.
  • Why this job: Join a team that values innovation and make a real impact in search technology.
  • Qualifications: Proficiency in Python and experience with ML frameworks and information retrieval models.

The predicted salary is between 60000 - 80000 € per year.

Cohere is seeking a Member of Technical Staff, Search, to develop innovative models for information retrieval. You will design, train, and improve cutting-edge search models, work with cross-functional teams, and contribute to building effective search infrastructure.

Ideal candidates will have proficiency in Python and ML frameworks, along with experience in information retrieval models. This role values diversity and inclusivity, encouraging applicants from all backgrounds.

Staff Engineer, Semantic Search & Information Retrieval employer: Cohere

Cohere is an exceptional employer that fosters a collaborative and inclusive work culture, where innovation thrives. As a Staff Engineer in Semantic Search & Information Retrieval, you will have access to cutting-edge technology and the opportunity for professional growth through continuous learning and cross-functional teamwork. Located in a vibrant tech hub, Cohere offers competitive benefits and a supportive environment that values diversity, making it an ideal place for those seeking meaningful and rewarding employment.

Cohere

Contact Detail:

Cohere Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Engineer, Semantic Search & Information Retrieval

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to information retrieval and search models. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for technical interviews by brushing up on your Python and ML frameworks. Practice coding challenges and be ready to discuss your past experiences with search infrastructure and model development.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Staff Engineer, Semantic Search & Information Retrieval

Python
Machine Learning Frameworks
Information Retrieval Models
Model Design
Model Training
Cross-Functional Collaboration
Search Infrastructure Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python and ML frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about information retrieval and how you can contribute to our innovative models. Keep it engaging and personal – we love to see your personality!

Showcase Your Team Spirit:Since this role involves working with cross-functional teams, let us know about your collaborative experiences. Share examples of how you’ve successfully worked with others to achieve a common goal – teamwork is key for us!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!

How to prepare for a job interview at Cohere

Know Your Stuff

Make sure you brush up on your knowledge of information retrieval models and the latest trends in semantic search. Be ready to discuss specific projects you've worked on, especially those involving Python and ML frameworks.

Showcase Your Collaboration Skills

Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Highlight any experiences where you contributed to a team project or helped resolve conflicts.

Ask Insightful Questions

Prepare some thoughtful questions about Cohere's approach to search infrastructure and their vision for the future. This shows your genuine interest in the company and helps you assess if it's the right fit for you.

Embrace Diversity and Inclusivity

Cohere values diverse backgrounds, so don’t hesitate to share your unique perspective. Discuss how your experiences can contribute to a more inclusive environment and how you can bring fresh ideas to the table.