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Facebook Machine Learning Jobs (NOW HIRING)

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML * George (our AI ...

Meta

Product Manager, Machine Learning

Seattle, WA

$146K/yr

Understand Facebook's strategic and competitive position and deliver products that are aligned with ... Machine Learning based personalization, ranking or recommendations services, or ad-tech * Requires ...

Meta

Software Engineer, Machine Learning

Boston, MA

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

Austin, TX · On-site

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

Redmond, WA · On-site

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

Sunnyvale, CA

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

Fremont, CA

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

Bellevue, WA · On-site

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

Menlo Park, CA · On-site +1

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

Santa Clara, CA · On-site +1

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

San Mateo, CA

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

Seattle, WA

$154K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

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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 3, 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 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.

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 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.

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 May 2026, with employment types broken down into 13% As Needed, 61% Full Time, 13% Part Time, and 13% 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.

Machine Learning Engineer

Krea

San Francisco, CA

Other

Posted 24 days ago

Job description

Machine Learning Engineer

At Krea, we are building next-generation AI creative tools.

We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.

We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.

We're looking for a machine learning engineer who can work on large-scale image and video models training experiments.

Some stuff you can do:

  • Train foundation diffusion models for image and video generation.
  • Train controllability modules such as IPAdapters or ControlNets.
  • Develop novel research techniques and put them into production.
  • Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets

Example experience and skills we're looking for:

  • Proven track record in working with image or video models at scale (publications or open-source contributions a plus)
  • Strong background in deep learning frameworks and distributed training paradigms.
  • Ability to iterate rapidly, and propose creative research directions

A bit more about us:

We've raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.

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