Treeswift utilizes robotic and machine learning technology to build forestry tools. Backed by Convective Capital.
About the role
ML sits at the heart of Treeswift’s product translating complex sensor data into meaningful insights that drive critical decision-making for our customers. As our business grows the importance of this work only grows with it. You will join at a critical inflection point and will lead the charge on the following priorities (amongst others): Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Early-stage or fast-moving environments where scope and ownership evolve quickly
- Strong familiarity with models built on images, video, lidar, pointclouds, speech, or geospatial data sources
- Building and using cloud-based training and inference pipelines (including orchestration, deployment, and the operational realities of running models at scale)
- Willingness to drive architecture and approach across both, bring innovative ideas and rapid execution to new and existing models, and be accountable for the quality and consistency of our models across a growing breadth of operating conditions
- Leading development of our training and inference pipelines. You will lead how we build and evolve these pipelines as well as move us towards on-device inference for time-sensitive use cases
- 3+ years experience in leadership: setting clear direction for a team, driving architecture and design decisions, reviewing others' work, and mentoring individual engineers
More about this role
In the face of rising threats, increasing pressure on affordability, and unprecedented demand for power, Treeswift empowers energy companies to modernize their field work to meet the growth and challenges ahead.
We build physical AI for the field worker: whether on foot or in a vehicle, our technology is an ironman suit for engineers, linemen, and vegetation crews: same worker, same boots on the ground, now operating at 10x productivity. Our platform is powered by cutting edge hardware, sensors (LiDAR, camera, etc…), AI and software designed to revolutionize work in the toughest environments.
Our technology has enabled our customers to reduce wildfire risk, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms.
To tackle this challenge, we are bringing together a team of mission-driven experts with deep industry experience in robotics (Penn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle, MongoDB). We have raised funding from leading investors including Penny Pritzker’s Inspired Capital.
We are headquartered in midtown Manhattan, with additional offices in San...
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