Software Engineer; Technical Leadership - Machine Learning
Job in
Nashville, Davidson County, Tennessee, 37247, USA
Listing for:
Meta
Full Time
position
Listed on 2026-01-01
Job specializations:
-
Software Development
Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 213000 - 293000 USD Yearly
USD
213000.00
293000.00
YEAR
Job Description & How to Apply Below
Position: Software Engineer (Technical Leadership) - Machine Learning
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:
Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features and systems in detailUnderstand industry & company-wide trends to help assess & develop new technologiesPartner & collaborate with organization leaders to help improve the level of performance of the team & organizationIdentify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideasLead long term technical vision and roadmap for large cross-company effortsSuggest, collect and synthesize requirements and create an effective feature roadmapIdentify and resolve performance and scalability issues, and drive large efforts to reduce technical debtMinimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience12+ years of programming experience in a relevant language OR 8+ years experience with a PhDProven track record of planning multi-year roadmap in which short-term projects ladder to the long-term missionExperience driving large cross-functional/industry-wide engineering effortsExperience utilizing data and analysis to explain technical problems and provide detailed feedback and solutionsExperience communicating and working across functions to drive solutionsExperience mentoring/influencing executive stakeholders across organizationsPreferred Qualifications
Masters degree or PhD in Computer Science or a related technical fieldExperience with frameworks like Tensor Flow, PyTorch, or Scikit-learnKnowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysisUnderstanding of information retrieval concepts, such as indexing, querying, and rankingDemonstrated experience with data structures and algorithms, including graph theory and optimization techniquesPublic Compensation
$213,000/year to $293,000/year + bonus + equity + benefits
Industry
Internet
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affluent 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
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