Member of Technical Staff, Search
Cohere · Canada
- Hybrid
- Full-time
- $150,000 / year
- Canada
Job highlights
- Develop state-of-the-art search models.
- Advance semantic search techniques.
- Train embedding and reranker models.
- Collaborate on search infrastructure.
- Publish research in top venues.
About the role
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!
Member of Technical Staff, Search
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.
Responsibilities
- 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!
Qualifications
- 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!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Perks and Benefits
- 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
- Python
- PyTorch
- Tensorflow
- Information Retrieval
- Large Language Models
- Semantic Search
- Data Pipelines
- Machine Learning
- Distributed Training
- Problem-Solving
Skills & topics
- Member of Technical Staff
- Search
- AI
- Machine Learning
- Information Retrieval
- Python
- PyTorch
- Tensorflow
- LLM
- Semantic Search
- Data Pipelines
- Distributed Training
- Research
- New York
- San Francisco
- Toronto
- London
- Paris
How to get hired
- Tailor your resume: Highlight Python, ML frameworks, and information retrieval experience.
- Showcase relevant projects: Detail your work on search models or LLM integration.
- Prepare for technical interviews: Brush up on algorithms, data structures, and ML concepts.
- Emphasize collaboration: Be ready to discuss teamwork and cross-functional projects.
- Research Cohere: Understand their mission and AI focus to align your answers.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Member of Technical Staff, Search role at Cohere?
- The Member of Technical Staff, Search role at Cohere requires strong proficiency in Python and ML frameworks like PyTorch and TensorFlow. You'll also need experience with information retrieval models and leveraging Large Language Models in training or evaluation pipelines. Familiarity with TF-Serving, JAX, and XLA/MLIR is also beneficial.
- What kind of impact can I make as a Member of Technical Staff, Search at Cohere?
- As a Member of Technical Staff, Search at Cohere, you'll have the opportunity to revolutionize search experiences by building intelligent, efficient, and precise search systems. You will directly contribute to advancing semantic search techniques and productionizing innovative ideas in a fast-paced environment.
- Does Cohere offer remote work options for the Member of Technical Staff, Search position?
- Yes, Cohere offers a remote-flexible work arrangement, with offices in Toronto, New York, San Francisco, London, and Paris. They also provide a co-working stipend, allowing for flexibility in where you work.
- What are the opportunities for research and publication in this role?
- The Member of Technical Staff, Search role provides opportunities to engage in research collaborations with partner organizations and academic affiliations. You will have the chance to publish your work in top-tier conferences and journals, contributing to the broader AI research community.
- How does Cohere support professional development and employee well-being for its technical staff?
- Cohere supports professional development through work on cutting-edge AI research and offers personal enrichment benefits for arts, culture, fitness, and well-being. They also provide comprehensive health and dental benefits, including mental health support, and generous parental leave.