54 jobs
Customer-facing role owning the full account journey for industrial clients, from onboarding and change management to executive reviews and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering challenges into AI solutions, while building internal tooling to scale account operations.
Build the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develop solvers in differentiable or GPU-native frameworks like JAX or Warp, using commercial and open-source CFD tools, while collaborating closely with ML researchers in a research team.
JAX · NVIDIA Warp · OpenFOAM +2
Cohere
Owns the evaluation strategy for an enterprise AI workspace, building evals that capture agentic workflows, tool use and knowledge work. Translates user feedback, production failures and usage logs into continuous measurement, then feeds model failures and capability gaps back to central modelling teams. Sits between product, customer-facing and research teams rather than being pure research or product engineering.
North
Cohere
Builds reinforcement learning environments for enterprise AI agents, populating them with hard tasks, plausible data and reward verifiers, then runs agents inside to evaluate and train them. Works across modelling and product to find capability gaps, and partners with external vendors on expert-built environments and quality tooling.
ElevenLabs
Owns features across frontend and backend for the ElevenAPI dashboard, SDKs and docs, improving onboarding, API key creation and self-serve subscriptions. Runs experiments on activation and works directly with developer feedback in a small, fully remote team, with scope to grow into technical or team leadership.
ElevenAPI
ElevenLabs
Builds the systems behind a managed AI audio production service, owning one of three areas: a human data labelling and evaluation platform, the backend engine running production workflows, or a Rust-based professional editor platform. Work is mostly hands-on building of internal tools and core infrastructure rather than consumer features, with scope to lead projects.
Builds and delivers high-fidelity multi-physics CFD models, from geometry clean-up and meshing to simulation and post-processing, integrating experimental data for validation. Automates parametric CAD and simulation pipelines for design optimisation and DoE, generating datasets for machine learning surrogates. Works on-site with customers and mentors junior colleagues, with global travel up to 2-3 weeks per quarter.
Star-CCM+ · OpenFOAM · Fluent +4
Lead technical delivery of physics AI solutions, architecting deep learning models and optimisation methods to predict and control physical systems. Build scalable production data pipelines, mentor junior team members, and collaborate on-site with customers across multiple regions to embed AI models into engineering tools.
NumPy · SciPy · Pandas +2
Lead the deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments. Own scoping, architecture and success metrics for data/ML systems, mentor engineers, and work on-site with customers across North America, Europe, Asia and Oceania for 3-4 weeks per quarter.
Python · PyTorch · Pandas +3
Build and deploy customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. The role spans rapid prototyping, backend development of Python/FastAPI REST APIs and microservices, and cloud deployment using Kubernetes, Helm, Terraform and AWS/Azure. It suits someone who can grasp complex engineering problems across industries and own solutions end-to-end.
FastAPI · Helm · Kubernetes +3
Cohere
Own the design, build and deployment of LLM-powered agentic workflows for enterprise customers, integrating models with tools, APIs and sensitive data sources. Work across the full product lifecycle on the North AI workspace platform, building reliable, observable and auditable agents, with up to 20-40% travel to customer sites.
North · LLM · RAG +3
Cohere
Build and ship features for North, Cohere's secure AI workspace platform, developing autonomous agents that interact with sensitive enterprise data. Work spans Python and React full-stack code, with stringent deployment constraints that often require reinventing tooling rather than using popular libraries, plus collaboration with researchers to productionize frontier models.
Python · React
ElevenLabs
Backend-leaning full-stack engineer joining a small team building Creative Agents that turn ideas into audio, image and video. You'll build production agents using prompts, tool use, orchestration and MCP integrations, design reliable async backend systems for long-running generation tasks, and develop shared evaluations and live quality monitoring. Ownership runs end to end, from prototyping to shipping and operating features in production.
MCP
ElevenLabs
First dedicated analytics partner to the Finance function within a central Data team, owning revenue and ARR reconciliation, cohort and retention economics, and pricing experiments. Builds forecasting and scenario models used directly by FP&A for planning and board reporting, working with SQL, Python, Stripe, Salesforce and a dbt-modelled warehouse.
Stripe · Salesforce · dbt +1
ElevenLabs
Owns the path from research checkpoint to production serving infrastructure, optimising inference latency, throughput and cost with quantization, distillation, KV-cache tuning, batching and custom kernels. Builds high-performance streaming serving systems and tooling so researchers can ship models quickly and safely.
CUDA · Triton · TensorRT +2
