Senior AIML Engineer (Remote)

Full Time
Posted Today
Job description

About Benetech

Benetech believes that equitable access to education is a human right. Our technology and services break down systemic barriers and empower all learners regardless of ability. Around the world, we partner with local communities to expand inclusive and equitable education opportunities. To date, we have delivered more than 20 million accessible books helping over 1.5 million students, jobseekers, and adults to read, learn, and pursue their dreams. People at Benetech believe strongly in the mission, and we work hard to embody our Truths each day.

Attracting candidates from all backgrounds

Our Benetech team reflects the diversity of the people we impact. We hire great people from a wide variety of backgrounds, including members of historically marginalized or oppressed communities because it makes our organization stronger.

Research shows that individuals only apply to jobs if they meet all of the qualifications. We know there are great candidates who might not check all of the boxes and possess important skills we haven’t thought of. If that’s you, apply and tell us about yourself.

The Opportunity

We are hiring a Senior AI/ML Engineer to develop and deploy a scalable AI solution to achieve our vision of creating equity and inclusion in STEM education by bridging the gap in the availability of accessible STEM educational materials. This is a hands-on technical role where you will spend most of your time designing, coding, and implementing AI-based solutions, along with ongoing evaluation of model performance both in isolation as well as using results from production use cases. The potential candidate must have proven expertise using deep learning and computer vision to help promote numerous strategic business outcomes and drive innovation.

Key Responsibilities

  • Investigate and experiment with new model architectures to improve existing models, training pipelines, and run-time inference performance

  • Creatively balance the demands of production-level software engineering with exploratory research and development

  • Work with teams to develop and improve ML pipelines that go all the way from R&D to at-scale deployment

  • Be part of a Scrum-based software development team, attending daily standup, writing quality code, and reflecting on our process each sprint

  • Collaborate with product management, user experience, and engineering groups to develop new products and features.

  • Provide technical leadership and mentorship guidance to help team members perform, deliver, and grow

Qualifications and Core Competencies

  • Required:

    • Bachelor’s/Master’s degree in computer science, computer engineering, or relevant field or equivalent experience

    • At least five years' experience in designing, building, and deploying production scale software and AI platform/solutions to solve real-world problems

    • Experience developing, troubleshooting, validating, optimizing and deploying deep learning models for diverse computer vision tasks (e.g. segmentation, recognition and classification) using PyTorch, TensorFlow, or other deep learning frameworks

    • Proficiency in programming languages such as Python, JavaScript or C++

    • Experience in REST API development and NoSQL design

    • Experience developing and working with large datasets

    • Experience with MLOps and the lifecycle of model development from experimentation to production and measurement

    • Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment

  • Preferred:

    • Experience with cloud deployments, focused on automation, scale, performance, and reliability. AWS experience preferred.

    • Familiarity and experience with accessibility and accessible document formats

Travel Obligations


Physical Demands and Working Environment:

The bullet points below are representative of the physical demands and working environment that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made for individuals with disabilities to perform essential job functions.

  • Standard / Remote office setting; proximity to office equipment that includes electronic devices.

  • Must remain at a workstation for at least 50% of the time; will need to use equipment that includes electronic devices.

  • Perceive and interact with text, media, and people.

  • Communicate and accurately exchange information with text, media, and people.

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