What Jobs are available for Machine Learning in Austin?

**Summary:**
Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
2. Implement custom user interfaces using latest programming techniques and technologies
3. Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
4. Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
5. Architect efficient and scalable systems that drive complex applications
6. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
7. Work on a variety of coding languages and technologies
8. Establish ownership of components, features, or systems with expert end-to-end understanding
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
11. Demonstrated experience driving change within an organization and leading complex technical projects
12. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
**Preferred Qualifications:**
Preferred Qualifications:
13. Masters degree or PhD in Computer Science or a related technical field
14. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
15. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
16. Understanding of information retrieval concepts, such as indexing, querying, and ranking
17. Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
**Public Compensation:**
$85.10/hour to $251,000/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

**Summary:**
Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
2. Implement custom user interfaces using latest programming techniques and technologies
3. Develop reusable software components for interfacing with back-end platforms
4. Analyze and optimize code for quality, efficiency, and performance
5. Lead complex technical or product efforts and provide technical guidance to peers
6. Architect efficient and scalable systems that drive complex applications
7. Identify and resolve performance and scalability issues
8. Work on a variety of coding languages and technologies
9. Establish ownership of components, features, or systems with expert end-to-end understanding
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. 6+ years of programming experience in a relevant language or 3+ years of experience + PhD
12. Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
13. Experience building maintainable and testable code bases, including API design and unit testing techniques
**Preferred Qualifications:**
Preferred Qualifications:
14. 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
15. Experience with developing machine learning models at scale from inception to business impact
16. Knowledge developing and debugging in C/C++ and Java
17. Experience building and shipping high quality work and achieving high reliability
18. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
19. Exposure to architectural patterns of large scale software applications
20. Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
**Public Compensation:**
$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

**Summary:**
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.
**Required Skills:**
Product Manager, Machine Learning Responsibilities:
1. Display strong leadership, organizational and execution skills
2. Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
3. Incorporate data, research and market analysis to inform product strategies and roadmaps
4. Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health
5. Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
6. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
**Minimum Qualifications:**
Minimum Qualifications:
7. 8+ years product management or related industry experience with domain specific expertise in Machine Learning
8. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
9. Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
10. Experience delivering technical presentations
11. Experience in analyzing complex, large-scale data sets and making decisions based on data
12. Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution
13. Displaying leadership, organizational and execution skills
14. Proven communication skills
**Preferred Qualifications:**
Preferred Qualifications:
15. Experience with leveraging ML/AI to build large scale consumer products.
16. Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
17. Experience defining vision and strategy for a product.
18. Experience recruiting and leading a cross-functional team of world-class individuals.
19. Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.
**Public Compensation:**
$171,000/year to $238,000/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

**Summary:**
Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
2. Implement custom user interfaces using latest programming techniques and technologies
3. Develop reusable software components for interfacing with back-end platforms
4. Analyze and optimize code for quality, efficiency, and performance
5. Lead complex technical or product efforts and provide technical guidance to peers
6. Architect efficient and scalable systems that drive complex applications
7. Identify and resolve performance and scalability issues
8. Work on a variety of coding languages and technologies
9. Establish ownership of components, features, or systems with expert end-to-end understanding
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. 6+ years of programming experience in a relevant language or 3+ years of experience + PhD
12. Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
13. Experience building maintainable and testable code bases, including API design and unit testing techniques
**Preferred Qualifications:**
Preferred Qualifications:
14. 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
15. Experience with developing machine learning models at scale from inception to business impact
16. Knowledge developing and debugging in C/C++ and Java
17. Experience building and shipping high quality work and achieving high reliability
18. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
19. Exposure to architectural patterns of large scale software applications
20. Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
**Public Compensation:**
$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

**Summary:**
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.
**Required Skills:**
Product Manager, Machine Learning Responsibilities:
1. Display strong leadership, organizational and execution skills
2. Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
3. Incorporate data, research and market analysis to inform product strategies and roadmaps
4. Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health
5. Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
6. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
**Minimum Qualifications:**
Minimum Qualifications:
7. 8+ years product management or related industry experience with domain specific expertise in Machine Learning
8. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
9. Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
10. Experience delivering technical presentations
11. Experience in analyzing complex, large-scale data sets and making decisions based on data
12. Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution
13. Displaying leadership, organizational and execution skills
14. Proven communication skills
**Preferred Qualifications:**
Preferred Qualifications:
15. Experience with leveraging ML/AI to build large scale consumer products.
16. Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
17. Experience defining vision and strategy for a product.
18. Experience recruiting and leading a cross-functional team of world-class individuals.
19. Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.
**Public Compensation:**
$171,000/year to $238,000/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

**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. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
9. Telecommuting from anywhere in the US allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field and 12 months of experience in the job offered or in a computer-related occupation
11. Requires 12 months of experience involving the following:
12. Machine Learning Frameworks(s): PyTorch, MXNet, or Tensorflow
13. Machine Learning, recommendation systems, natural language processing, data mining or distributed systems
14. Translating insights into business recommendations
15. Hadoop /Hbase /Pig or Mapreduce /Sawzall /Bigtable
16. Scripting languages such as Perl, Python, PHP, and shell scripts
17. C, C++, Java, or C#
18. Python, PHP, or Haskell
19. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
20. Building highly-scalable performant solutions
21. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
**Public Compensation:**
$215,356/year to $240,240/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

**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. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
9. Telecommuting from anywhere in the US allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field and 12 months of experience in the job offered or in a computer-related occupation
11. Requires 12 months of experience involving the following:
12. Machine Learning Frameworks(s): PyTorch, MXNet, or Tensorflow
13. Machine Learning, recommendation systems, natural language processing, data mining or distributed systems
14. Translating insights into business recommendations
15. Hadoop /Hbase /Pig or Mapreduce /Sawzall /Bigtable
16. Scripting languages such as Perl, Python, PHP, and shell scripts
17. C, C++, Java, or C#
18. Python, PHP, or Haskell
19. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
20. Building highly-scalable performant solutions
21. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
**Public Compensation:**
$215,356/year to $240,240/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

**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. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer (Machine Learning) Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's Degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, or a related field and 24 months of experience in the job offered or in a related occupation
11. Requires 24 months of experience involving the following:
12. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
13. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
26. 15. Distributed systems
**Public Compensation:**
$286,028/year to $290,180/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

**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. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).
10. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation
12. Requires 12 months of experience involving the following skills:
13. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and,
26. 15. Distributed systems
**Public Compensation:**
$196,602/year to $240,240/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