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Facebook Machine Learning Jobs (NOW HIRING)

Brilent

Senior Data Scientist

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. We are looking for exceptional people to ...

Brilent

Software Engineer 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 software engineering intern, you ...

Facebook App

Product Manager (Leadership)

New York, NY

$249K/yr

Together, we are committed to building innovative technologies -- Facebook, Instagram, Messenger ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Erth.AI Inc.

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a ... Founded by seasoned industry veterans and serial entrepreneurs with expertise from Zynga, Facebook ...

Erth.AI Inc.

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a ... Founded by seasoned industry veterans and serial entrepreneurs with expertise from Zynga, Facebook ...

Brilent

Senior NLP Scientist/Engineer

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, Microsoft and HP, and graduates of top-tier universities ...

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All JobsFacebook Machine Learning Jobs

Facebook Machine Learning information

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$14

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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.
Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning

Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning

University of Florida

Gainesville, FL • On-site

Full-time

Posted 20 days ago

University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

334th of 539 rated colleges and universities

Job description

Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning
Job no: 539783
Work type: Post Doc Associate
Location: Main Campus (Gainesville, FL)
Categories: Grant or Research Administration, Artificial Intelligence, Physical/Mathematical Sciences
Department:16120100 - LS-CHEMISTRY-GENERAL
Classification Title:
Post-Doctoral Associate in unsupervised and generative ML for chemistry
Classification Minimum Requirements:
PhD in Chemistry or related area
Strong coding (Python) and algorithm design skills
Expertise on ML tools for chemistry, in particular, generative AI
Experience with Python, ML, and AI for chemical applications
Job Description:
A Post-doctoral Associate in Theoretical Chemistry is available for work on a project in unsupervised and generative ML for chemical applications led by Dr. Ramon Miranda Quintana in the Department of Chemistry. We have a position available in our group to work on the development, implementation, and application of hyper-efficient unsupervised learning techniques to chemical problems, with emphasis on improvements to representation learning and generative methods.
Must have PhD in Chemistry or related area. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and availability of funds, may be renewed for up to two years.
Expected Salary:
The salary is competitive and commensurate with qualifications and experience, and the compensation includes a full benefits package. To see more, visit benefits.hr.ufl.edu.
Required Qualifications:
PhD in Chemistry or related area
Strong coding (Python) and algorithm design skills
Expertise on ML tools for chemistry, in particular, generative AI
Experience with Python, ML, and AI for chemical applications
Preferred:
Familiarity with HPC systems
Proven track record of research in ML/AI for chemistry
Strong coding foundation (Python)
Knowledge of C++ and CUDA
Special Instructions to Applicants:
For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting.
A complete application includes (1) a letter of application summarizing the applicant's qualifications, interests, and suitability for the position, (2) a complete curriculum vitae, (3) a list of at least two references. After initial review, letters of recommendation will be requested from the references for selected applicants.
Applications will be reviewed beginning immediately, and the position will remain open until filled. Only complete applications will be reviewed at this time. Applications received after this date may be considered at the discretion of the committee and/or hiring authority.
All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.
The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.
Health Assessment Required:No
Advertised: 05 May 2026 Eastern Daylight Time
Applications close:
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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853

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