Cohere

Software Engineer

• Design, build and scale AI systems for serving our users.
• Research, implement, and experiment with ideas on our supercompute and data infrastructure.
• Learn from and work with the best researchers in the field.

Member of Technical Staff, Modeling

• Work directly with enterprise customers on problems that push LLMs to their limits.
• Train and customize frontier models — not just use APIs.
• Influence the capabilities of Cohere’s foundation models.
• Operate with an early-startup level of ownership inside a frontier-model company.
• Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes.
• Lead the design and delivery of custom LLM solutions for enterprise customers.
• Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies.
• Build custom models using Cohere’s foundation model stack, CPT recipes, post-training pipelines (including RLVR), and data assets.
• Develop SOTA modeling techniques that directly enhance model performance for customer use-cases.
• Contribute improvements back to the foundation-model stack — including new capabilities, tuning strategies, and evaluation frameworks.
• Work closely with enterprise customers to identify high-value opportunities where LLMs can unlock transformative impact.
• Provide technical leadership across discovery, scoping, modeling, deployment, agent workflows, and post-deployment iteration.
• Establish evaluation frameworks and success metrics for custom modeling engagements.
• Mentor engineers across distributed teams.
• Drive clarity in ambiguous situations, build alignment, and raise engineering and modeling quality across the organization.

Senior/Staff MLE

• 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!

Technical Staff Member, Search

Security Operations

• Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues
• Harden our cloud-native environments (AWS, OCI, GCP) by introducing secure by default designs and features into network, tooling, and processes
• Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by deploying secure architectures using infrastructure-as-code and reusable code libraries
• Manage IAM / RBAC for cloud infrastructure, and partner with IT on streamling authentication/authorization to ensure unified access control across the board
• Deploy and operationalize some of the security services and tools (eg: SIEM, SOAR, domain monitoring, endpoint tooling, cloud security tooling)
• Respond to security incidents and harden environments post-incidents
• Support control monitoring and remediation for compliance initiatives
• Gather and analyze security metrics to address security issues with cross-team dependencies
• Be a problem solver who is empathetic to developer concerns and will employ constructive and flexible approach to building innovative solutions.

Senior Security Operations Engineer

Full-stack Engineer

• Turn emerging ML research ideas into production-ready infrastructure
• Build core platform capabilities for execution, storage, and state management
• Prototype and evaluate new technologies, then help decide what should move into production
• Partner with research teams to shape infrastructure based on what future agent systems will need

Senior Software Engineer, Agent Infrastructure

• Drive the roadmap across managed services, APIs, SDKs, and developer tooling, balancing near-term customer needs with long-term platform investment.
• Translate model and infrastructure capabilities into well-designed product surfaces that developers and enterprise operators can rely on.
• Engage directly with customers and developers to understand integration challenges, validate priorities, and surface unmet needs.
• Define success metrics for platform health and developer experience, and lead initiatives to move them.
• Partner with engineering, research, technical writing, and developer relations to ship and document platform improvements.

Product Manager, Platform Experience – Developer Product

Product Manager

• Serve as the product bridge between Cohere's safety research teams and North, ensuring that findings from model evaluations, red-teaming, and behavioral research translate into product-level guardrails, controls, and safeguards.
• Own the safety product roadmap for Cohere and North, prioritizing features based on research findings, observed misuse patterns, evolving threat vectors, and customer requirements.
• Partner with modeling teams to scope and interpret safety evaluations — understanding how Cohere’s underlying models behave across adversarial inputs, edge cases, and high-stakes use cases.
• Define and drive evaluation frameworks for assessing how safety properties hold up as models and product capabilities evolve, ensuring regressions surface before they reach customers.
• Coordinate the development of guardrails and intervention mechanisms — working across research, engineering, and policy to determine where and how safety controls should be implemented within North's product layer.
• Monitor the AI safety research landscape — from prompt injection and jailbreaks to emerging misuse patterns in agentic systems — and ensure North's roadmap reflects what the research is surfacing.
• Build processes for scaling safety review as North's surface area grows, including how new features get assessed for safety risk before launch.

Product Manager, Safety Research

• Define and execute the roadmap for North’s iOS, Android, and macOS apps, balancing platform-native capabilities with cross-platform consistency.
• Own the shared component and configuration layer that enables enterprise customization
• Design and iterate on FTUX and onboarding flows that minimize time-to-value and drive activation across new enterprise deployments.
• Own analytics instrumentation to track funnel performance, feature adoption, and re-engagement; run structured experiments to improve key metrics.
• Engage directly with enterprise customers to surface use cases across surfaces and validate product decisions with qualitative and quantitative evidence.
• Collaborate with design and engineering to maintain a coherent, accessible component system and ensure pixel-perfect experiences that scale across customer deployments.

Product Manager, Native Experience, Growth

Engineer

• Build and ship features for North, our AI workspace platform
• Develop autonomous agents that talk to sensitive enterprise data
• Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
• Work across the entire product lifecycle from conceptualization through production
• Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout

Forward Deployed Engineer, Agentic Platform

Engineering Manager

• Lead and manage a team of engineers, fostering a collaborative and high-performing environment.
• Design, build, ship and maintain scalable features for North, our AI workspace platform.
• Take end-to-end ownership of features — from initial design and planning, through implementation, testing, and delivery.
• Apply your expertise to deliver at speed, making practical technical decisions that balance velocity with depth and quality.
• Collaborate closely across teams, maintaining high standards for communication, documentation, and testing.
• Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimise performance.

Infrastructure Engineer

• Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
• Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
• Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
• Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
• Develop training materials and conduct sessions to empower users to adopt North’s capabilities effectively.

Forward Deployed Engineer, Infrastructure Specialist

Research Engineer

• Building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems.
• Work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports research programs.