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Senior Meta Machine Learning Jobs in Tennessee (NOW HIRING)

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

We are where innovation meets purpose; and where your career can meet purpose as well.  We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

We are where innovation meets purpose; and where your career can meet purpose as well.  We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$118K - $156K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves asInovalon'scentral AI and machine learning hub. This team partners with Provider, Payer, and ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$118K - $156K/yr

The Senior Machine Learning Engineer will contribute to both classical machine learning and generative AI applications, collaborating closely with AI Product Managers and a distributed team to build ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$118K - $156K/yr

The Senior Machine Learning Engineer will contribute to both classical machine learning and generative AI applications, working across the full model development lifecycle and collaborating closely ...

Role Overview Grailed is looking for a Senior Machine Learning Engineer to drive personalization, recommendation, and product marketplace improvement efforts. This is a high-impact role for an ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... senior guidance * Excellent understanding of model evaluation techniques, feature engineering ...

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 ...

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Showing results 1-20

Senior Meta Machine Learning information

Is L7 senior at Google?

L7 at Google is considered a senior-level position, typically involving significant technical expertise and leadership responsibilities. It is often regarded as a senior or staff level role within Google's engineering hierarchy, requiring extensive experience and advanced skills in areas like machine learning or software development.

How much does L7 make at Meta?

An L7 Senior Meta Machine Learning engineer typically earns a base salary ranging from $250,000 to $350,000 annually, with additional compensation such as bonuses and stock options. Total compensation can exceed $400,000 depending on performance and stock grants. These figures are based on industry reports and may vary by location and experience.

What engineer makes $500,000 a year?

Senior Meta Machine Learning engineers can earn $500,000 or more annually, especially with bonuses and stock options in large tech companies. High compensation typically requires advanced skills in deep learning, extensive experience, and a strong track record of impactful projects.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

How much does a Meta senior machine learning engineer make?

A senior machine learning engineer at Meta typically earns between $150,000 and $200,000 annually, with total compensation including bonuses and stock options often exceeding this range. Compensation varies based on experience, location, and performance, and the role requires strong skills in deep learning, data analysis, and programming in Python or C++.
What are the most commonly searched types of Meta Machine Learning jobs in Tennessee? The most popular types of Meta Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Senior Meta Machine Learning jobs? Cities in Tennessee with the most Senior Meta Machine Learning job openings:
Infographic showing various Senior Meta Machine Learning job openings in Tennessee as of June 2026, with employment types broken down into 25% Full Time, and 75% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Sr. Director, Machine Learning Strategy

Sr. Director, Machine Learning Strategy

Dollar General

Goodlettsville, TN • On-site

Full-time

Posted 26 days ago


Dollar General rating

4.0

Company rating: 4.0 out of 10

Based on 4,478 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers


Job description


Company Overview

General Summary:

This role exists to build, scale, and operationalize Dollar General’s enterprise machine learning capabilities that directly drive measurable business outcomes. The Senior Director owns the ML strategy, platforms, and teams required to move from isolated models to production-grade, governed, reusable ML systems. This leader ensures ML investments are aligned to enterprise priorities, value realization, and responsible AI standards.


Job Details

Duties and Responsibilities:

  • Lead enterprise machine learning strategy spanning applied ML, MLOps, experimentation, and platform capabilities aligned to business priorities.
  • Build, mentor, and scale high-performing ML engineering and data science leaders across centralized and embedded delivery models
  • Own end-to-end lifecycle of ML systems from problem framing and modeling through deployment, monitoring, and continuous optimization
  • Partner with product, IT, security, legal, and business leaders to ensure governed, responsible, and scalable ML adoption.
  • Establish standards for model evaluation, experimentation, monitoring, and value measurement tied to financial and operational impact

Qualifications

Knowledge, Skills and Abilities:

  • Deep expertise in machine learning systems, model development, and production ML architectures
  • Strong understanding of MLOps, model monitoring, experimentation, and CI/CD for ML
  • Proven ability to translate business problems into scalable ML solutions with measurable impact
  • Experience leading senior technical managers and principal-level engineers
  • Strong judgment around responsible AI, model risk, data privacy, and governance
  • Ability to influence executive stakeholders and align cross-functional teams
  • Experience operating ML platforms in cloud-native environments
  • Excellent communication skills bridging technical and non-technical audiences

Work Experience and/or Education:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
  • Advanced degree (Master’s / MBA) in a quantitative or AI-related discipline preferred
  • 10+ years of experience in machine learning, data science, or applied AI roles
  • 5+ years leading ML engineering or data science teams at scale
  • Demonstrated experience deploying and operating production ML systems

Experience in retail, e-commerce, supply chain, or large-scale consumer data environments preferred

Qualifications:

Knowledge, Skills and Abilities:

  • Deep expertise in machine learning systems, model development, and production ML architectures
  • Strong understanding of MLOps, model monitoring, experimentation, and CI/CD for ML
  • Proven ability to translate business problems into scalable ML solutions with measurable impact
  • Experience leading senior technical managers and principal-level engineers
  • Strong judgment around responsible AI, model risk, data privacy, and governance
  • Ability to influence executive stakeholders and align cross-functional teams
  • Experience operating ML platforms in cloud-native environments
  • Excellent communication skills bridging technical and non-technical audiences

Work Experience and/or Education:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
  • Advanced degree (Master’s / MBA) in a quantitative or AI-related discipline preferred
  • 10+ years of experience in machine learning, data science, or applied AI roles
  • 5+ years leading ML engineering or data science teams at scale
  • Demonstrated experience deploying and operating production ML systems

Experience in retail, e-commerce, supply chain, or large-scale consumer data environments preferred

Education:UNAVAILABLEEmployment Type: FULL_TIME

What Dollar General employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Dollar General logo

About Dollar General

Sourced by ZipRecruiter

What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Goodlettsville, TN, US