AI Specialist - VR

Meta; Burlingame (CA); On-site; USD 271,000 - 347,000; Full time

Benefits offered by this job

Bonus

Equity

Job summary

Meta Platforms, Inc. (Meta) in California seeks an AI Specialist - VR to develop scalable ML algorithms and shape feature roadmaps for immersive experiences. You will code with the engineering team and adapt methods to distributed clusters and GPUs.

You will gather data for training, train ranking models, run experiments, and assess impact on Meta's platforms. A PhD and publications are preferred, with a compensation package including bonus and equity.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Experience with research and/or work in ML, NLP, reinforcement learning, deep learning, recommender systems, pattern recognition, signal processing, data mining, AI, information retrieval, or computer vision.
• Experience coding in Java, C++, Perl, PHP, or Python.

Responsibilities

• Develop scalable algorithms using state-of-the-art ML and NN methodologies.
• Suggest, collect, and synthesize requirements and create a feature roadmap.
• Code deliverables in tandem with the engineering team.
• Adapt ML methods to distributed clusters, multicore SMP, and GPU.
• Research, design, and develop new algorithms to improve Meta's platforms.
• Gather data for machine-learning training.
• Train new ranking models and run experiments.
• Identify improvements in Meta's software and products.
• Present effects of engineering efforts on market standing from economic/game-theoretic perspectives.
• Develop scalable classifiers and tools using ML and data techniques.

Skills

Machine learning

NLP

Reinforcement learning

Deep learning

Recommendation systems

Pattern recognition

Data mining

Artificial intelligence

Information retrieval

Computer vision

Education

Bachelor's degree in Computer Science or related field

PhD in Computer Science or related field

Job description

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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.

Required Skills:

AI Specialist - VR Responsibilities:

1. Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
2. Suggest, collect, and synthesize requirements and create effective feature roadmap
3. Code deliverables in tandem with the engineering team
4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
5. distributed clusters, multicore SMP, and GPU)
6. Perform specific responsibilities which vary by team
7. Research, design, and develop new algorithms and techniques to improve the efficiency and performance of Meta's platforms
8. Gather data for machine-learning training
9. train new ranking models and run experiments
10. Identify potential improvements in Meta's software and technology products
11. Research and present effects of current engineering efforts on Meta's market standing from an economic and game-theoretic point of view
12. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. Experience with research and/or work in machine learning, NLP, reinforcement learning, deep learning, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
3. Experience coding in one or more of the following: Java, C++, Perl, PHP, or Python

Preferred Qualifications:

1. PhD in Computer Science, Computer Engineering, or relevant technical field
2. First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
3. Experience working and communicating cross functionally in a team environment
4. Experience with large scale model training, implementing algorithms, and evaluating speech-based systems
5. 3+ years experience as an Applied AI Research Scientist or an Applied AI Research Engineer
6. Experience taking ideas from research to production
7. Experience with developing scalable machine learning models in at least one of the following areas: Crawling, indexing, extraction, retrieval, ranking, recommendations, measurement, tooling, evaluation, query understanding, planning, vector databases, or embeddings
8. Experience evaluating alternative technical solutions by analyzing tradeoffs in performance, cost, and maintainability to recommend a path forward

Public Compensation:

$271,000/year to $347,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirative 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 [e-mail].