At a Glance
- Tasks: Join our Search team to develop cutting-edge models for an intelligent search experience.
- Company: Cohere, a pioneering tech company on a mission to scale intelligence for humanity.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse perspectives and strong career advancement potential.
- Why this job: Revolutionise search technology and make a real impact in AI-driven experiences.
- Qualifications: Proficiency in Python and ML frameworks; passion for information retrieval.
The predicted salary is between 60000 - 80000 £ per year.
About Cohere
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future!
Why this role?
We are looking for talented individuals to help us develop state-of-the-art models for information retrieval as part of our Search team. This group is working on a range of tasks including training our embedding and reranker models. You'll have the opportunity to revolutionise people's search experience by contributing to building an intelligent, efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas. Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of novel technologies and collaborating with other teams to integrate your work into our search infrastructure.
We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past.
As a Member of Technical Staff on this team, you will:
- Design, train and improve upon cutting-edge search models.
- Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.
- Work closely with the model serving team to ensure that inference is fast and stable.
- Collaborate with product teams to develop solutions.
- Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.
Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!
You may be a good fit if you have:
- Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.
- Familiarity with training and using various information retrieval models.
- Experience leveraging Large Language Models as part of training data or evaluation pipelines.
- Strong communication and problem-solving skills.
Bonus points for:
- Experience building training and/or evaluation datasets for practical use cases.
- Proficiency in other programming languages, such as C++ or Golang.
- Experience using large-scale distributed training strategies with GPUs.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
Member of Technical Staff, Search employer: Cohere
Cohere is an exceptional employer that fosters a dynamic and innovative work culture, where each team member is empowered to contribute to cutting-edge AI solutions. Located in a vibrant tech hub, we offer unparalleled opportunities for professional growth, collaboration with top-tier researchers, and the chance to make a meaningful impact on the future of search technology. Join us to be part of a diverse team that values creativity and excellence, while working towards our mission of scaling intelligence to serve humanity.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff, Search
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Cohere. A friendly chat can open doors that a CV just can't. Use LinkedIn or even Twitter to connect and show your enthusiasm for their work.
✨Tip Number 2
Prepare for interviews by diving deep into the latest trends in AI and search technologies. We want you to be able to discuss how you can contribute to our mission. Brush up on your Python skills and be ready to showcase your problem-solving abilities!
✨Tip Number 3
Don’t just apply; engage with us! Follow Cohere on social media, join discussions, and share your thoughts on AI advancements. This shows your passion and commitment, making you stand out from the crowd.
✨Tip Number 4
When you get the chance, ask insightful questions during interviews. This not only demonstrates your knowledge but also your genuine interest in the role and the company. Remember, we love candidates who are curious and eager to learn!
We think you need these skills to ace Member of Technical Staff, Search
Some tips for your application 🫡
Show Your Passion for Search:When writing your application, let us know why you're excited about search technology! Share any personal projects or experiences that highlight your enthusiasm and expertise in information retrieval.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We want to see how your background aligns with our mission and the specific role of Member of Technical Staff.
Highlight Collaboration Experience:Since we value teamwork, be sure to mention any past collaborations with other teams or organisations. This shows us that you can work well with others and contribute to our diverse team culture.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity to shape the future of search.
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 advancements in semantic search. Be ready to discuss your experience with Python and ML frameworks like PyTorch or TensorFlow, as these are crucial for the role.
✨Show Your Passion
Cohere is looking for someone who is genuinely passionate about search technology. Share examples of projects you've worked on that demonstrate your enthusiasm and how you've contributed to improving search experiences in the past.
✨Collaborate Like a Pro
Since this role involves working closely with various teams, be prepared to talk about your collaborative experiences. Highlight instances where you successfully partnered with others to achieve a common goal, especially in tech-related projects.
✨Ask Smart Questions
Prepare thoughtful questions about Cohere's mission and the Search team's current projects. This shows your interest in the company and helps you understand how you can contribute to their goals effectively.
