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Facebook Machine Learning Jobs (NOW HIRING)

R3 Tek

Data Scientist

Bentonville, AR · On-site

Knowledge of a variety of machine learning techniques (clustering, decision tree learning ... Google Analytics, Site Catalyst, Core metrics, AdWords, Crimson Hexagon, Facebook Insights, etc.

Prolim Global

Facebook - Linguist III

Burlingame, CA · On-site

... machine learning frameworks, NLP Libraries and Tools 2-3 Years of experience working in a Linguist role Conversational assistant, ML Support, LLMs About PROLIM PROLIM is a leading provider of PLM ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a data scientist intern, you will work ...

Facebook App

Product Manager

San Francisco, CA

$114K/yr

When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

RADaR

Data Scientist

Columbia, MO · Hybrid

Design, develop, and deploy machine learning models to predict customer responses, optimize ... Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)

RADaR

Data Scientist

Saint Louis, MO · Hybrid

Design, develop, and deploy machine learning models to predict customer responses, optimize ... Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)

RADaR

Data Scientist

Kansas City, MO · Hybrid

Design, develop, and deploy machine learning models to predict customer responses, optimize ... Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)

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Facebook Machine Learning information

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How much do facebook machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for facebook machine learning in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

What is the difference between Facebook Machine Learning vs Data Scientist?

AspectFacebook Machine LearningData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML frameworksDegree in Statistics, Mathematics, Computer Science, or related fields; strong analytical skills
Work EnvironmentTech company, collaborative teams, focus on ML models and algorithmsVaried industries, data analysis, reporting, and insights generation
Employer & Industry UsagePrimarily in tech companies like Facebook, focusing on AI/ML productsAcross industries including tech, finance, healthcare, focusing on data analysis

Facebook Machine Learning specialists focus on developing and deploying machine learning models within Facebook's infrastructure, requiring strong programming and ML skills. Data Scientists analyze data to generate insights, often using statistical methods. While both roles require a background in data or computer science, Facebook Machine Learning roles are more technical and model-focused, whereas Data Scientists emphasize data analysis and interpretation.

What does a Facebook Machine Learning Engineer do?

A Facebook Machine Learning Engineer designs, builds, and deploys artificial intelligence models that power various features and products across Meta's platforms, such as Facebook, Instagram, and WhatsApp. Their work involves data preprocessing, model selection, training, evaluation, and optimization to improve user experiences like content recommendations, spam detection, and ad targeting. They also collaborate with product managers, researchers, and software engineers to integrate these models into scalable systems. The role requires strong programming skills, knowledge of machine learning algorithms, and experience with large-scale data processing.

What are the key skills and qualifications needed to thrive as a Facebook Machine Learning Engineer, and why are they important?

To thrive as a Facebook Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, usually backed by a relevant degree and experience in large-scale data analysis. Proficiency in Python, C++, TensorFlow or PyTorch, and experience with distributed computing systems are typically required. Strong problem-solving skills, collaboration, and effective communication help you work cross-functionally and drive innovative solutions. These skills enable the rapid development and deployment of impactful machine learning models at scale, which is crucial for Facebook's data-driven products and services.

How does a Facebook Machine Learning Engineer typically collaborate with product teams to deploy models into production?

As a Facebook Machine Learning Engineer, you will work closely with product managers, software engineers, and data scientists to integrate machine learning solutions into real-world products. This often involves participating in cross-functional meetings to understand product requirements, iterating on model prototypes, and ensuring smooth deployment and monitoring of models in production. Collaboration is key, as you will need to communicate technical insights to non-technical stakeholders and incorporate feedback to improve model performance. This dynamic environment provides opportunities to learn from experts across multiple domains and contribute directly to impactful, large-scale products.
More about Facebook Machine Learning jobs
What job categories do people searching Facebook Machine Learning jobs look for? The top searched job categories for Facebook Machine Learning jobs are:
Facebook Machine Learning jobs near you
Infographic showing various Facebook Machine Learning job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 15% Full Time, 79% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Cloud Software Engineer - AI/ML Project Top Secret/SCI w/Poly

Cloud Software Engineer - AI/ML Project Top Secret/SCI w/Poly

Peraton

Laurel, MD • On-site

$59.50 - $77.25/hr

Full-time

PTO

Posted 10 days ago

Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

45th of 204 rated it services

Job description

Responsibilities

Are you passionate about building cutting-edge cloud solutions that support national security? Do you thrive in fast-paced, mission-driven environments? Peraton is seeking a talented and skilledCloud Software Engineerto join our Cyber Intelligence team inLaurel, MD.

As part of a collaborative, high-impact integrated product development team, you'll work on next-generation cyber and AI/ML capabilities hosted on large-scale compute clusters and AWS Cloud infrastructure.

This is your chance to help shape innovative services that make a real difference. Interested in Artificial Intelligence and Machine Learning? If so, this is the position for you.

The Cloud Software Engineer Level 1 Engineer provides cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis/resolution.

#peratonroyalmove

#MPOJobs 

#AJCM #PeratonRoyalMove

#MDFSP

 Python, Java, C, C++, Hbase, Accumulo, Big Table, Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc., Hadoop Distributed File System (HDFS), JSON and/or BSON.  Taxonomy, Ontologies, and Big-Data Cloud Scalability (Amazon, Google, Facebook), cluster monitoring tools (e.g. Hobbit, Ganglia), Artificial Intelligence (AI), Large Language Model (LLM), Machine Learning (ML), AI/ML algorithms, statistical analysis, RAG, agents, and agentic workflow 

Qualifications

Basic Qualifications:

  • A Bachelor's Degree in Computer Science or in a related technical field from an accredited college or university is highly desired which will be considered equivalent to two (2) years of experience. NOTE: A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field.
  • Two (2) or more years of directly related experience in software development/engineering; including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution
  • At least 2 years of experience in software development/engineering, including requirements analysis, software development, installation, evaluation, enhancement, maintenance, and problem diagnosis/resolution.
  • Have demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, Big Table, etc.
  • Have at least one (1) year of experience developing software with high level languages such as Java, C, C++, et cetera.
  • Minimum of two (2) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts
  • An Active TS/SCI clearance with polygraph is required

Additional Desired Qualifications:

Preferred, not required, to have one of the following Cloud Developer Certifications:

    • AWS Certified Developer-Associate
    • AWS Certified Machine Learning-Associate
    • AWS Certified Machine Learning-Specialty 
    • AWS Certified Machine Learning-Specialty
    • AWS DevOps Engineer Professional
    • Certified Kubernetes Application Developer (CKAD)
  • Demonstrated experience with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, and/or Big Table
  • Demonstrated experience with Map/Reduce and/or Hadoop, Hive, and/or Pig
  • Demonstrated experience with the Hadoop Distributed File System (HDFS)
  • Demonstrated experience with Big-Data Cloud Scalability (e.g. Amazon, Google, and/or Facebook)
  • Demonstrated experience designing and developing web applications with JavaScript
  • Demonstrated experience designing and developing automated analytic software, techniques, and algorithms
  • Demonstrated experience with compute cluster monitoring tools (e.g. Hobbit, Ganglia)
  • Demonstrated experience with Accumulo internals, to include configuring, tuning, and testing Accumulo in many configurations (>200 node clusters)
  • Competencies and Skills:
  • Experience with Large Language Models (LLM), Agentic AI, and Retrieval-Augmented Generation (RAG)
  • Expertise in AWS Cloud Architecture design and development
  • Proficiency in using AWS SDKs and APIs
  • Expertise in Infrastructure as Code (IaC) tools like CloudFormation or Terraform
  • Skilled in Continuous Integration, Deployment, Testing and Monitoring practices
  • Knowledge and skill in implementing and using observability tools (e.g. Elasticsearch, OpenSearch)
  • Java programming for distributed systems, with experience in networking and multi-threading
  • Agile development experience with source code management practices and tools
  • Well-grounded in Linux fundamentals and knowledge in at least one scripting language (e.g. Python, Ruby, Perl, etc.)
  • Familiarity with microservices software development techniques and container-orchestration (e.g., Kubernetes)
  • Knowledge of security and compliance best practices

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

Investing in Your Growth: Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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