Job Title: Computer Vision / Machine Learning (CV/ML) Engineer

Location: Remote/ Pacific Time Zone

Clearance Required: Public Trust Eligible

Salary: $110K-$125K

Application Deadline: March 31, 2025

To apply, please follow these steps:

Visit https://ibsscorp.com/careers/ .
Select the position you are interested in.
Review the job details, then click Apply Now.
Complete and submit your application.

Job Description

IBSS is looking for a full-time or part-time Computer Vision / Machine Learning Engineer to assist the AFSC Midwater Assessment and Conservation Engineering team in creating solutions that aid AFSC efforts to reduce bycatch, ensure sustainable fishing, and protect marine life. We are seeking a Computer Vision / Machine Learning (CV/ML) engineer to develop algorithms and software solutions to assist with achieving this goal. You will build models to automate species identification and length measurements from images of fish caught. The goal is to use advanced AI / Artificial Intelligence and Client techniques to revolutionize fisheries conservation, with projects involving tasks such as fish detection and tracking using cloud and edge computing, as well as fish age estimation through deep learning using otolith images. Common tasks will include object detection and semantic segmentation including using current paradigms such as few/zero-shot learning. Knowledge in other aspects of ML, such as using off-the-shelf OCR and voice-to-text models, is additionally valuable.

Key Responsibilities:

Developing Client and AI Methods: Collaborate with the IBSS & AFSC team on developing and monitoring automated detection systems.
Deep Learning Expertise: Train and implement deep learning models to detect and count fish in video frames. Utilize appropriate object detection and tracking methods in PyTorch and TensorFlow.
Implementing Innovative AI/Client Solutions: Apply cutting-edge technologies to enhance fisheries management. Utilize self-supervised learning and adapt models to various computing resources.
Transfer Learning & Sustainability: Transfer learning is used to accelerate development and PyTorch to facilitate efficient solutions.
Evaluate and Optimize Models: Oversee evaluation and optimization in TensorFlow or PyTorch for seamless deployment on edge computing devices.
Integrate current techniques to enhance workflow depending on the needs of the project, such as few-shot learning where limited annotations are available.
Container Deployments: Converting intricate, deep learning models into container deployments integrating with Tator.io, a comprehensive video and image annotation and review software platform.
Maintaining Technical Knowledge and Expertise: Stay current on the latest developments in deep learning, edge computing, container applications, and cloud computing to enhance the effectiveness of the project.
Collaborating with Cross-Functional Teams: Work with cross-functional teams to ensure successful model deployment while proactively addressing any challenges that may arise.
Collaborating with Scientific Groups: Work effectively with scientific groups with ML needs that have substantial domain knowledge (e.g., marine biology) but less knowledge of the advantages and limitations of ML.
Ensure Best Practices: Follow best practices in all stages of development.
Documentation: Thoroughly document each stage of the development process, from the initial model design to deployment and ongoing maintenance. This is essential for tracking the project's progress, troubleshooting, and future improvements.

Required Skills /Education/ Certifications & Qualifications:

Master's or PhD in Computer Science or similar with a focus on Computer Vision or Machine Learning. Relevant bachelor's degree with additional years of experience will be considered.
3+ years of experience in building and deploying deep learning models in Python.
Proficient in machine learning optimization, software development for real-time systems, container applications, and cloud computing.
Proficiency with common CV libraries like OpenCV, TensorFlow, Keras, PyTorch
Experience deploying models on edge devices with size, weight, and power constraints.
Expertise with Python, OpenCV, Linux, Windows, Docker, Git, and PyTorch.

Desired Skills:

Proficiency in Python, & typescript, and reverse engineering.
Familiarity with TensorFlow Lite, Cloud Computing (AWS, GCP), AutoML, and Vertex AI.
Certifications in TensorFlow, PyTorch, Docker, or Google Cloud Platform.
Contribution to open-source development using PyTorch.
Experience in distributed training of deep learning models.
Existing expertise in stereo length measurements
Background in marine biology, fisheries, or related science domain

About IBSS Corp.

Since 1992, IBSS, a woman-owned small business, has provided transformational consulting services to the Federal defense, civilian, and commercial sectors. Our services include cybersecurity and enterprise information technology, environmental science and engineering (including oceans, coasts, climate, and weather), and professional management services.

Our approach is to serve our employees by investing in their growth and development. As a result, our employees bring greater capabilities and provide exceptional service to our clients. In addition to creating career development opportunities for our employees, IBSS is passionate about giving back to the community and serving the environment. We strive to leave something better behind for the next generation.

We measure our success by the positive impact we have on our employees, clients, partners, and the communities we serve. Our tagline, Powered by Excellence, is a recognition of the employees that make up IBSS and ensures we deliver results with quality, applying industry best practices and certifications.

IBSS offers a competitive benefits package that includes medical, dental, vision, and prescription drug coverage with a company-paid deductible, paid time off, federal holidays, a matching 401K plan, tuition/professional development reimbursement, and Flex-Spending (FSA)/Dependent Care Account (DCA) options.

IBSS is an affirmative action and equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Click https://www.eeoc.gov/poster to see that the EEO is the law. Please direct any inquiries to the HR Department email at HR@ibsscorp.com.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to the Talent Acquisition department at Recruiting@ibsscorp.com

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