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# Software Engineer (Machine Learning, Technical Leadership) - Meta Business Agent

- **Company:** The Meta Game, Inc.
- **Location:** Menlo Park, CA, United States
- **Experience:** Expert
- **Salary:** $271,000.0 - $347,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Computer Engineering, Data Transformation, Data Structures, Graph Theory, Information Retrieval, Machine Learning, Natural Language Processing, Tensorflow, Sentiment Analysis, Tokenization, Pytorch, Technical Debt, Indexer, Scikit Learn, Information Technology, Optimization Algorithms
- **Published:** November 8, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3499539671&tx=JP1711FFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Software Engineer (Machine Learning, Technical Leadership) - Meta Business Agent Responsibilities, 1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

 2. 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD
 3. Experience influencing executive stakeholders across organizations through technical proposals, roadmap alignment, or strategic recommendations
 4. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
 5. Experience communicating and working across functions to drive solutions
 6. Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
 7. Experience driving large cross-functional/industry-wide engineering efforts, 1. Masters degree or PhD in Computer Science or a related technical field
 2. Understanding of information retrieval concepts, such as indexing, querying, and ranking
 3. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
 4. Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
 5. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn

## Description

1. Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
 2. Effectively communicate complex features and systems in detail
 3. Understand industry and company-wide trends to help assess and develop new technologies
 4. Partner & collaborate with organization leaders to help improve the level of performance of the team and organization
 5. Identify new opportunities for the larger organization and influence the appropriate people for staffing and prioritizing these new ideas
 6. Lead long term technical vision and roadmap for large cross-company efforts
 7. Suggest, collect and synthesize requirements and create an effective feature roadmap
 8. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt