Why This Job is Featured on The SaaS Jobs
This Member of Technical Staff, MLE role sits at the intersection of applied machine learning and enterprise SaaS adoption, where model capability only matters insofar as it turns into reliable product outcomes. The remit—designing and implementing LLM-based solutions in partnership with customers—reflects a common pattern in AI-native SaaS: closing the “last-mile” between promising demos and production systems that teams can operate, measure, and trust.
For a long-term SaaS career, the role offers leverage across the full lifecycle of ML-enabled features: translating ambiguous business problems into technical plans, shipping to production, and iterating with product counterparts. Experience in aligning engineering and product, mentoring across a distributed group, and identifying gaps in existing models builds a portfolio that transfers well to platform, applied AI, and technical leadership tracks inside B2B software companies.
This position is best suited to engineers who enjoy ambiguous problem spaces and can balance hands-on delivery with setting direction for others. It will appeal to candidates who value customer-proximate work—learning how different enterprises operationalize AI—while still engaging deeply with modern ML tooling and large-scale training or inference considerations.
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 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 Korean, fluency preferred.
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!)
