Experience driving large cross-functional/industry-wide engineering efforts
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Experience communicating and working across functions to drive solutions
Experience mentoring/influencing executive stakeholders across organizations
Preferred experience
Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
Understanding of information retrieval concepts, such as indexing, querying, and ranking
Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
Qualification wording
10. Experience driving large cross-functional/industry-wide engineering efforts
11. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
12. Experience communicating and working across functions to drive solutions
13. Experience mentoring/influencing executive stakeholders across organizations
14. Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
15. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
16. Understanding of information retrieval concepts, such as indexing, querying, and ranking
18. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
Education & alternatives
16. Understanding of information retrieval concepts, such as indexing, querying, and ranking
17. Masters degree or PhD in Computer Science or a related technical field
18. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026
Employer says posted
Sep 12, 2025
Nov 3, 2026today
We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Pay
Higher than most similar jobs
$118K$193K
$219K–$301K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Time since we first saw it
Day 1
755
Early. Similar jobs usually come down between day 7 and day 55.
At Meta, jobs usually come down by about day 6.
From 10,040 similar postings that came down, and 405 of Meta’s. Coming down is not always a hire.
Meta is hiring
1000 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
PyTorch
scikit-learn
TensorFlow
Where the posting names them
14. Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
15. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
16. Understanding of information retrieval concepts, such as indexing, querying, and ranking
Yes. We’ve followed 24 other Software Engineer (Technical Leadership) - Machine Learning jobs there since November 2026. All 24 are still up.
CheyenneStill up after 1 day, first seen Nov 3
BellevueStill up after 1 day, first seen Nov 3
JuneauStill up after 1 day, first seen Nov 3
Salt Lake CityStill up after 1 day, first seen Nov 3
TopekaStill up after 1 day, first seen Nov 3
Little RockStill up after 1 day, first seen Nov 3
ColumbusStill up after 1 day, first seen Nov 3
SacramentoStill up after 1 day, first seen Nov 3
This jobUp 1 day so far, first seen Nov 3
Nov 3Today
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
**Summary:**
Meta is seeking talented principal 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 oversee 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 leading 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 (Technical Leadership) - Machine Learning Responsibilities:
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 & company-wide trends to help assess & develop new technologies
4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/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
**Minimum Qualifications:**
Minimum Qualifications:
9. Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
10. Experience driving large cross-functional/industry-wide engineering efforts
11. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
12. Experience communicating and working across functions to drive solutions
13. Experience mentoring/influencing executive stakeholders across organizations
**Preferred Qualifications:**
Preferred Qualifications:
14. Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
15. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
16. Understanding of information retrieval concepts, such as indexing, querying, and ranking
17. Masters degree or PhD in Computer Science or a related technical field
18. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
19. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
20. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
21. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
**Public Compensation:**
$219,000/year to $301,000/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@meta.com.