Machine Learning Engineer
The posting does not state a salary. This range is our estimate from the role, the location and the stack — treat it as a guide, not an offer.
- Level
- Senior
- Apply from
- United States
About the role
- Design and build cutting-edge deep learning models.
- Work on the entire ML lifecycle from data to deployment.
- Collaborate closely with engineering teams and end users.
- Optimize production data pipelines for model training.
- Combine open-source solutions with novel research.
Skills the posting asks for
- Python
- OpenCV
- SQL
- PyTorch
- TensorFlow
Summarised from the employer’s posting, which is reproduced in full below.
The employer’s full posting
Requirements
- Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience ,
- 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle ,
- Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.) ,
- (Desirable) A Master’s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning ,
- (Desirable) Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning ,
- (Desirable) Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications ,
- (Desirable) Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks ,
- (Desirable) Prior experience with distributed training using cloud infrastructure ,
- (Desirable) Prior experience with visual document understanding and layout analysis ,
- (Desirable) Published research or achieved SOA results on an ML application ,
- (Desirable) Prior experience with multi-modal deep learning models ,
- (Desirable) You have a passion for manufacturing and believe that the industry needs better software ,
- (Desirable) Prior experience working in a startup environment ,
- To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State
- As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end ,
- Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis ,
- Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users ,
- Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation ,
- Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications