Expand human ambition in the physical world.
Critical infrastructure is constrained by labor shortages, hazardous working conditions, and operational complexity. Watney builds and deploys autonomous robotic systems that increase the speed and capacity of buildout, starting with data centers.
About the RoleAt Watney, ML engineers turn a live fleet of robots into world class modals. The fleet produces large volumes of video from real work in the field, and turning that data into a model that performs better on the next deployment is one of the hardest problems at the company.
Our Machine Learning team members run training experiments, help curate and label the data behind them, and help evaluate what works on a real fleet. You'll build models that cover the gamut of real world challenges including perception, planning, navigation and manipulation.
Own model quality end-to-end: dataset curation, training, and evaluation.
Work with multimodal sensor data from Cameras, IMUs, LiDar and Odometry to shape the training set as the fleet grows.
Train and evaluate policies, experiment with data, feature and architecture ablations.
Deploy your best results to production and build the systems that guarantee low latency, 24/7 inference on a fleet of robots.
Work with Teleoperations and Fleet Operations to get the data the models need.
Trained large scale multimodal models on a fleet of GPUs using techniques such as video semantic segmentation, 6d pose estimation, VLAs and BEVs.
Have owned a dataset end-to-end: what to collect, what to label, and what to cut.
Write production training and inference code with Python, PyTorch or JAX, Triton.
Have found and fixed a problem with a training run or a model's real-world performance, and can name the evidence that pointed to it.
Experience working on Cluster management systems including Ray, Slurm or Kubernetes.
We’re committed to building a diverse, inclusive team. At Watney Robotics, we welcome people of all backgrounds and identities, and we make hiring decisions based on skills, experience, and potential. If you’re passionate about robotics but don’t meet every requirement, we still encourage you to apply!
Curious to learn more?Follow us here on X and LinkedIn
Skills Required
- Experience training large-scale multimodal models using techniques such as video semantic segmentation, 6D pose estimation, VLAs, or BEVs
- Experience owning datasets end-to-end, including data collection, labeling, and filtering
- Production training and inference programming experience with Python and PyTorch or JAX
- Experience with Triton
- Experience diagnosing and fixing training-run or real-world model performance problems using evidence
- Experience with cluster management systems such as Ray, Slurm, or Kubernetes
What We Do
Join us on our mission to deploy an abundant, intelligent workforce. Watney develops autonomous robots to enable the growth of critical infrastructure. Having recently raised $21 million in seed funding from Conviction, Abstract and A*, we’re partnering with the world’s largest hyperscalers to accelerate datacenter buildout and breakfix. You'll work alongside - The former GSM for the iPhone - The former founding engineer at Worldcoin - The engineer who built the world’s fastest EV racecar at ETH Zurich - … and many more Join now for a ground-floor seat with outsized ownership and visibility as we scale from prototype to production fleets. Ship real systems, shape the rollout playbook, and leave fingerprints on a category-defining robotics company.
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