The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.
Third Dimension is building SuperSim, a new kind of simulator which can enable fast, cost-effective and photorealistic 3D simulations directly from source data using AI. We are working with customers across multiple industries, including autonomous vehicles, drones, robots in industrial and manufacturing environments, and more.
We’re looking for a Data Infrastructure / ML Engineer to build the backbone of our 3D AI systems. You’ll design scalable pipelines for 3D, video, image, and other sensor data (e.g., LIDAR) and develop the ML workflows that power SuperSim. Your work will enable our researchers to train, validate, and deploy models faster - ultimately shaping how robots and autonomous systems are tested in the real world.
In this role, you will:
- Build and maintain high-performance data pipelines to ingest, transform, and version multi-modal datasets (3D, video, sensor).
- Design and optimize distributed training and data-processing infrastructure - across cloud and containerized environments (Kubernetes, Ray, Dask, EKS, Buildkite).
- Collaborate with researchers to productionize ML models (PyTorch), from prototype to deployment.
- Develop tools and APIs that make data discoverable, reusable, and reproducible.
- Monitor and improve data quality, lineage, and performance across the ML lifecycle.
- Strong programming background in Python.
- Proficiency in distributed data-processing technologies (e.g., Ray, Apache Spark, Flyte, Dask).
- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and distributed training frameworks (Ray, RLLib, PyTorch DDP, or Horovod).
- Knowledge of dataset versioning, experiment tracking, and reproducibility tools (DVC, MLflow, etc.).
- Exposure to simulation, robotics, or autonomy testing pipelines.
- Experience with deep learning frameworks and ML workflows (PyTorch).
- Familiarity with 3D or robotics data formats (point clouds, meshes, radiance fields, LIDAR).
- Contributions to open-source ML/infra projects or publications in top-tier AI/ML/CV venues.
- Experience with frontend / UI work.
- London, UK / Graz, Austria/ Bay Area: This is a priority for us, as we're trying to build a presence around our already existing teams in London, Graz or the Bay area. Hybrid (remote + in office days) preferred.
- Remote: If hybrid is not an option, but you're amazing, we're open to having you work out your home location.
- Competitive salary & stock options – Everyone is an owner and shares in our success.
- Pension / retirement plan – Company contributions to support your long-term financial wellbeing.
- Health & wellness – Comprehensive health, dental, and vision insurance (with regional equivalents for employees outside the UK).
- Flexible time off – Generous holiday allowance plus local public holidays.
- Hybrid-first culture – State-of-the-art London workspace with the flexibility to work remotely.
- Workspace support – Latest hardware and home office equipment to set you up for success.
- Learning & development – Budget and time for conferences, courses, and workshops to keep you at the frontier of ML and 3D AI.
- Community & connection – Team offsites, events, and opportunities to connect with global colleagues.
Similar Jobs
Cloud • Greentech • Social Impact • Software • Consulting
Create and execute GTM outbound communication and enablement for BDR, Sales, and Customer Success. Translate product marketing messaging into email sequences, scripts, talk tracks, and enablement resources; coordinate launches and approvals; manage outbound sequence content and performance; gather field feedback and optimize materials; and drive cross-functional alignment to increase adoption and pipeline impact.
Top Skills:
ChorusGongHighspotOutreachSalesforceSalesloftSeismic
Gaming • Information Technology • Mobile • Software • Esports
Define and lead the gameplay vision with the Creative Director; refine systems (3Cs, combat, AI, weapons, progression); communicate direction and feedback; work hands-on in-engine; set scope and priorities; guide and support multidisciplinary teams.
Top Skills:
Unreal Engine 4Unreal Engine 5
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and maintain backend services for fraud and risk detection at scale. Deliver features end-to-end, partner with Data Science/ML, improve reliability and observability, respond to incidents, and build reusable systems to reduce financial loss and protect users.
Top Skills:
AWSBitcoinDockerDynamoDBEthereumGCPGeminiGleanGoJavaKafkaKubernetesLibrechatMongoDBPostgresPythonRabbitMQRuby
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
