What are the responsibilities and job description for the Research Engineer - AI Content Understanding position at Lensa?
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Summary
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.
Required Skills
Research Engineer - AI Content Understanding Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
$70.67/hour to $208,000/year bonus equity benefits
Industry: Internet
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Summary
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.
Required Skills
Research Engineer - AI Content Understanding Responsibilities:
- Design methods, tools, and infrastructure to push forward the state of the art in OCR models.
- Define research goals informed by practical engineering concerns.
- Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
- Work with a large and globally distributed team.
- Contribute to publications and open-sourcing efforts.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Research experience in machine learning, deep learning, and/or natural language processing.
- Experience with developing machine learning models at scale from inception to business impact.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Exposure to architectural patterns of large scale software applications.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- A PhD in AI, computer science, data science, or related technical fields.
- Direct experience in OCR research.
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
$70.67/hour to $208,000/year bonus equity benefits
Industry: Internet
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Salary : $208,000
