Machine Learning Engineer
Treeswift
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $140,000 - $210,000 per year
Job Level
Mid-LevelSenior
Tech Stack
CloudPythonPyTorchTensorflow
About the role
- Develop machine learning models that revolutionize our customers’ businesses.
- Create a best-in-class feedback loop to accelerate model development.
- Help Treeswift scale.
Requirements
- 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.
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningtraining datasetsPythondeep learningPyTorchTensorFlowsemantic mappingimage processingSensor FusionSLAM
Soft skills
problem-solvinganalytical abilitiescommunicationcollaboration