Treeswift · 2 weeks ago
Machine Learning Engineer
New York, NY
Full-time
Hybrid
Mid, Senior Level
$140K/yr - $210K/yr
5+ years expTreeswift is a company focused on empowering energy companies to modernize their field work in response to rising environmental challenges. The Machine Learning Engineer will develop and deploy advanced machine learning solutions, collaborating with various teams to enhance model performance and scalability for energy infrastructure management.
Artificial Intelligence (AI)Environmental EngineeringInformation TechnologyMachine LearningRobotics
Responsibilities
Develop machine learning models that revolutionize our customers’ businesses. Treeswift develops machine learning algorithms that upend the cost and accuracy of field work for energy infrastructure. Our machine learning model development focuses on two primary areas: (a) LiDAR point cloud models to classify and segment landscapes and infrastructure and (b) image models to derive vegetation attributes such as species and health. In this role you will be responsible for bringing innovative ideas and rapid execution to new and existing models. In the course of development, you will collaborate closely with other teams (product, operations etc…) and have an opportunity to interact with end-users
Create a best-in-class feedback loop to accelerate model development. You will improve Treeswift’s ability to assess model performance and adapt to new operating conditions at scale. Treeswift’s cutting edge model development involves significant investment in a proprietary dataset to train our models
Help Treeswift scale. In this role you will be expected to bring prior experience with commercial machine learning model development and deployment to help Treeswift cost-effectively scale its technology to serve a growing number of customers and use cases. You will be responsible for enabling effective collaboration on model development within the engineering team, and you will contribute to efforts to ensure reliable and robust performance of models in production
Qualification
Required
Proven track record of training and deploying machine learning models at scale for commercial use cases
Experience in segmentation and object detection of point cloud data or image data or other sensor data
Experience creating, curating, and cleaning training datasets
Strong programming skills in Python
Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar
Excellent problem-solving and analytical abilities
Exceptional communication and collaboration skills
Preferred
Experience with semantic mapping
Experience with image processing techniques and computer vision fundamentals
Experience with one or more of: Sensor Fusion, SLAM, Visual Odometry
Building and using cloud-based training and inference pipelines
5+ years of professional experience or 3+ years with an advanced degree
Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or similar
Benefits
Comprehensive medical, dental and vision insurance
Life insurance package and disability coverage
Stock options
Paid leave for new parents
Unlimited PTO
401K
Company
Treeswift
Treeswift utilizes robotic and machine learning technology to build forestry tools.
11-50 employees
H1B Sponsorship
Treeswift has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Early StageTotal Funding
$21.71MKey Investors
Pathbreaker Ventures
2023-09-07Series Unknown· $10.81M
2022-03-28Seed· $4.8M
2021-12-20Seed· $6.09M
Leadership Team
Steven Chen
CEO and Co-Founder
Michael Shomin
CTO and Co-Founder
Recent News
2025-02-13
2025-02-13
2025-02-13
Company data provided by crunchbase