Member of Technical Staff, Search
Cohere
Job Overview
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Job Description
Who are we?
Our mission at Cohere is to scale intelligence to serve humanity. We are 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, Search 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.
Full-Time Employees At Cohere Enjoy These Perks
- An open and inclusive culture and work environment
- Work closely with a team on the cutting edge of AI research
- Weekly lunch stipend, in-office lunches & snacks
- Full health and dental benefits, including a separate budget to take care of your mental health
- 100% Parental Leave top-up for up to 6 months
- Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
- 6 weeks of vacation (30 working days!)
Key skills/competency
- Information Retrieval
- Semantic Search
- Machine Learning Models
- Python Programming
- Deep Learning Frameworks (PyTorch, TensorFlow)
- Large Language Models (LLMs)
- Data Pipelines
- Distributed Training
- Algorithm Optimization
- Research & Development
How to Get Hired at Cohere
- Research Cohere's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in information retrieval, AI/ML, and search model development at Cohere.
- Showcase technical expertise: Emphasize proficiency in Python, PyTorch, TensorFlow, JAX, and LLM applications relevant to search.
- Prepare for technical interviews: Practice algorithms, data structures, and discuss past projects involving search systems and ML model optimization.
- Highlight collaborative skills: Be ready to discuss experiences working with cross-functional teams and contributing to research publications.
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