Software Engineer, Machine Learning
You will join the Research team as the first software engineer to own the core codebase for model development.
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Remote, Europe +1·Full-time·Added 10 months ago
This job was published 10 months ago
12 open roles
Full-time hours
Per the ad.
Fully remote
Only from certain places, per the ad: “Job Location: Europe / United States”
A relocation package
Help with the move, per the ad.
Relocation help
Indicative — the ad doesn’t promise sponsorship.
Work in English
English is required, per the ad.
Have 5+ years of experience
Mid-level role.
Competitive compensation with salary and equity
Comprehensive health coverage for you and your dependents
Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
Relocation support for employees moving to join the team in one of our office locations
A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Experience with ML workflow tooling (MLflow, Kubeflow, or similar)
Experience with FastAPI and Backend applications
Familiarity with data platforms like Databricks or Snowflake
Exposure to SRE practices or cloud security certifications
Hands-on experience with Prometheus, Grafana, or Datadog
Design and implement cloud infrastructure from the ground up
Build and maintain Kubernetes clusters optimized for GPU workloads and ML applications, as well as Production SaaS hosting
Implement GitOps practices using ArgoCD for continuous deployment
Develop infrastructure as code using Terraform
Create and maintain CI/CD pipelines for infrastructure and application deployment
Implement monitoring and observability solutions for distributed systems
Automate infrastructure management with Python and Bash
Collaborate with ML engineers to optimize infrastructure for model training and serving
Implement and maintain cost optimization strategies (FinOps) for cloud resources
Monitor and optimize cloud spending, especially for GPU-intensive workloads
5+ years of experience in cloud infrastructure and DevOps
3+ years of experience with Python
Strong experience with AWS and GCP cloud platforms
Deep expertise in Kubernetes, including multi-cluster management, GPU workload optimization, resource scheduling and autoscaling, and network policies and security
Experience with GitOps tools (ArgoCD preferred)
Extensive experience with cloud networking, including VPC design, load balancer configuration, network security and segmentation, and cross-cloud networking solutions
Strong CI/CD expertise, preferably with GitHub Actions
Proficiency in infrastructure as code (Terraform)
Experience with monitoring and observability tools
Experience with FinOps practices and cloud cost optimization
Fundamental is a London-based AI research and engineering company that develops advanced machine learning systems and developer tools. The company focuses on applied AI, bridging cutting-edge research with production-grade engineering to build products that serve developers and enterprises. Its team is composed of researchers, ML engineers, and software engineers working on model serving, MLOps, and applied AI challenges.
Fundamental is expanding its engineering and research presence in Spain, with a dedicated hub that hosts roles across ML research, MLOps, backend, and full-stack development. The company offers a research-driven culture with a strong emphasis on technical excellence, making it an attractive destination for international engineers and researchers looking to work on challenging AI problems while based in Spain.
Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS - the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict.
At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.
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