Research Engineer - AI Content Understanding

Meta; Menlo Park (CA); On-site; USD 70,000 - 208,000; Full time

Job summary

Join a forward-thinking company as a Research Engineer on the Optical Character Recognition (OCR) team. In this role, you will engage in cutting-edge research and engineering to develop state-of-the-art OCR models that enhance various products. You will design innovative methods and tools, adapt machine learning techniques for modern environments, and collaborate with a globally distributed team. Your contributions will not only impact the development of pioneering technologies but also lead to publications and open-source initiatives. If you're passionate about advancing AI and making a significant impact, this opportunity is for you.

Benefits

Bonus

Equity

Comprehensive benefits

Qualifications

• Bachelor's degree in a relevant technical field or equivalent experience.
• Research experience in machine learning and natural language processing.

Responsibilities

• Design methods and tools to advance OCR models.
• Contribute to experiments and organize results.

Skills

Optical Character Recognition (OCR)

Computer Vision (CV)

Natural Language Processing (NLP)

Machine Learning

Deep Learning

Python

PyTorch

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in AI or related fields

Tools

Distributed Clusters

Multicore SMP

GPU

Job description

Meta is seeking a Research Engineer to join our Optical Character Recognition (OCR) team. We conduct focused research and engineering to build state-of-the-art OCR models that power all of Meta’s products. We are looking for strong engineers who have a background in OCR, CV or NLP.

Responsibilities

1. Design methods, tools, and infrastructure to push forward the state of the art in OCR models.
2. Define research goals informed by practical engineering concerns.
3. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
5. Work with a large and globally distributed team.
6. Contribute to publications and open-sourcing efforts.

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2. Research experience in machine learning, deep learning, and/or natural language processing.
3. Experience with developing machine learning models at scale from inception to business impact.
4. Programming experience in Python and hands-on experience with frameworks such as PyTorch.
5. Exposure to architectural patterns of large scale software applications.
6. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

1. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2. A PhD in AI, computer science, data science, or related technical fields.
3. Direct experience in OCR research.
4. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

US$70.67/hour to US$208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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