Research Engineer, Computer Vision - Creators Menlo Park, CA • AI Research +1 more • Engineerin[...]

Meta; Menlo Park (CA); On-site; USD 8,000 - 251,000; Full time

Job summary

An innovative company is seeking a Research Engineer specializing in Computer Vision to join their dynamic applied research team. This role involves pushing the boundaries of AI and machine learning across various modalities, including video, audio, and images. You will be at the forefront of developing intelligent systems that enhance product experiences and drive innovation. With a focus on mentorship and collaboration, you will lead technical projects and contribute to groundbreaking research that shapes the future of social technology. If you're passionate about advancing AI in a collaborative environment, this opportunity is for you.

Benefits

Bonus

Equity

Health benefits

Qualifications

• 4+ years of experience in AI, Computer Vision, or related fields.
• Strong programming skills in Python and experience with AI/ML frameworks.

Responsibilities

• Develop algorithms and methodologies for AI perception systems.
• Mentor AI Engineers and drive large-scale projects across teams.

Skills

Generative AI

Computer Vision

Machine Learning

Python Programming

Project Leadership

Education

Bachelor's degree in Computer Science

Master's degree or PhD in Computer Science

Tools

PyTorch

Job description

Research Engineer, Computer Vision - Creators

Meta is seeking AI Specialists with expertise in the Computer Vision and/or Multimodal domain to join our applied research team in the Creators pillar. We push boundaries across multiple modalities (e.g., video, audio, image, behavior understanding). You will contribute to advancing state-of-the-art machine learning research and apply it to drive product innovation across our Family of Apps.

Responsibilities

1. Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences.
2. Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
3. Conduct research that enables learning the semantics of data (images, video, text, audio and other modalities).
4. Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches.
5. Apply in-depth knowledge of how the machine learning system interacts with the other systems around it.
6. Drive large efforts across multiple teams and assist in goal setting related to project impact.
7. Mentor other AI Engineers and improve the quality of AI work in the broader team.

Minimum Qualifications

1. 4+ years of industry experience in Generative AI, Computer Vision, or related fields.
2. Experience training Computer Vision or related AI/ML models.
3. Experience leading large scale technical projects in AI or ML.
4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
5. Programming experience in Python and hands-on experience with frameworks such as PyTorch.
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 or PhD in Computer Science, Computer Engineering, or relevant technical field.
2. First-authored publications at peer-reviewed conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH).
3. Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward.
4. Experience working on product or product research teams.
5. Experience working and communicating cross functionally in a team environment.

Compensation: $85.10/hour to $251,000/year + bonus + equity + benefits.

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.

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.