Why This Job is Featured on The SaaS Jobs
Applied machine learning roles are increasingly central to modern SaaS, especially as LLM capabilities move from research into production features like search, RAG, and agentic workflows. This Senior Member of Technical Staff position sits at that intersection, focusing on “last mile” implementation where model performance, product constraints, and enterprise requirements meet. The customer-facing element also signals a SaaS environment where technical teams influence adoption, not just internal roadmaps.
For a long-term SaaS career, the role offers leverage in several durable areas: taking ambiguous problems from discovery through production, shaping technical direction, and aligning across product and engineering. Experience delivering ML systems that operate at scale and integrating them into real customer contexts tends to translate well across SaaS categories, particularly as more B2B products embed AI as a core workflow rather than an add-on.
This role best fits an experienced ML engineer or technical lead who enjoys owning outcomes end to end and can switch between deep implementation and cross-functional coordination. It also suits professionals who prefer work that mixes platform-level rigor with practical delivery, and who are comfortable representing technical decisions in conversations with stakeholders outside the immediate engineering group.
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!
Why this role?
As a Member of Technical Staff on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
As a Senior Member of Technical Staff, you will:
Plan and execute large-group projects that carry through from ideation to production.Bring cross-functional alignment across engineering, product and other disciplines.
Mentor a distributed team of engineers in subject matter expertise. Identify opportunities and gaps in existing models and strategize what to work on.
Work closely with product teams to develop solutions.
Engage in collaborations with our partner organizations.
Assist our legal teams with preparation of patents on developed IP.
Join us at a pivotal moment, shape what we build and wear multiple hats!
You may be a good fit if you have:
Prior experience in leading ML teams in applied research and production.
Prior experience in setting as well as executing technical direction to build new or to refine existing products.
Prior experience in working cross-discipline in matrixed organizations.
Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
Experience using large-scale distributed training and inference.
Strong mentorship, communication, and problem-solving skills.
A demonstrated passion for applied ML models and products.
Working proficiency in Arabic.
Bonus: experience working for B2B companies in the ML space.
* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
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!)
