Why This Job is Featured on The SaaS Jobs
Work at the search layer of an AI platform is increasingly central to modern SaaS, especially as semantic retrieval and RAG become default building blocks inside developer and enterprise products. This role sits where model quality meets product utility, focusing on embedding and reranking models and the practical realities of serving them. In the current SaaS ecosystem, teams that can make search both accurate and efficient tend to influence everything from onboarding to retention, because discovery and relevance directly shape customer outcomes.
For a long-term SaaS career, the role offers a clear pathway into “production ML”, the discipline of turning research-grade ideas into reliable capabilities that ship. The emphasis on datasets, evaluation, and inference stability maps to recurring needs across SaaS companies adopting AI, regardless of industry vertical. Experience collaborating with model serving and product teams also builds the cross-functional fluency that becomes more valuable as AI features move from experiments into core workflows.
This position will suit engineers and applied researchers who like owning measurable improvements, iterating on model performance, and thinking in systems rather than isolated notebooks. It is a strong fit for professionals who want their work to be constrained by real customer use cases and operational requirements, not only by benchmarks.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Who are we?
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
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!
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.
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!)
