About The Company
Bloomfield is a Carnegie Mellon spinout creating a global platform shaping the future of precision agriculture. We scan farms and vineyards at scale (capturing high resolution imagery and other sensor data), analyze every plant, and derive actionable intelligence to help growers be more efficient and productive. We collaborate with a variety of movement platform companies, from ATV and tractor manufacturers to robotics startups.
About The Role
Our rapidly growing engineering team is in search of an AI Engineer to lead the design and development of deep learning models on large amounts of high resolution image data, as well as analytical modeling solutions at scale on a cloud platform.
As an AI Engineer, you will work at start-up speed and can plan and develop roadmaps, adapting along the way to dynamic conditions. You should have a detail-oriented engineering and algorithmic mindset, and enjoy building, instrumenting, testing, and documenting large systems. You will have broad responsibilities, build a team as we grow, and be a part of the senior team. This is a full-time, exempt position that reports to the Head of Product.
Responsibilities
- Deep model development: develop new image processing models that include feature detection and instance segmentation.
- Develop and track model performance metrics across a variety of applications and data sets.
- Integrate model development and deployment into cloud-based automated data processing pipeline.
- Develop processes and algorithms for effective model retraining as necessary. You should have.
- Data labeling: develop image labeling strategies for new model training and validation, including processes for on-going Q&A of deployed models. Evaluate labeling tools, including compatibility with AI training and validation systems.
- Train and deploy models using Pytorch, MLFlow, Sagemaker in AWS.
Requirements
- Located near Pittsburgh, PA
- 3+ years of experience developing cloud-based AI solutions
- Proficient in common deep learning tools, including PyTorch, PyTorch Lightning, and TensorFlow
- Experience with multi-class models and hierarchical classification
- Proficient in common programming languages, including Python, C++, Java
Bonus Points
- MS degree in computer science, mathematics, engineering, or similar field
- Proficient in Machine Learning Operations management, with extensive AWS experience, and demonstrated experience with complete model lifecycle management
- Previous projects implementing Mask-RCNN and/or AWS Sagemaker
- Experience with stereo and multi-view image data
What We Offer
In addition to the opportunity to apply and develop your skills toward key business objectives, we offer an excellent compensation package including:
- Competitive base salary
- Medical, Dental and Vision Insurance
- 401(k) retirement plan
- Unlimited PTO policy
- Parental Leave
- Incentive stock options
Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, sexual orientation, disability, gender identity, protected veteran status, or other protected classes.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
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