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Meta Machine Learning Engineer Jobs (NOW HIRING)

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... as a machine learning engineer. Must also possess: 2 years building & deploying ML-based ...

Quantum Machines

Machine Learning Engineer

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Experience with sim-to-real, multi-objective RL, or meta-learning- advantage

Hang

Machine Learning Engineer

New York, NY · On-site +1

... Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by ... About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team.

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

... Machine Learning Engineer to translate cutting-edge research into scalable, production-ready ... implement meta-learning methods to enhance model generalization and efficiency. • Improve ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

They are seeking a Machine Learning Engineer to translate research into scalable solutions ... implement meta-learning methods to enhance model generalization and efficiency. • Improve ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Meta LLaMA (fine-tuned/custom models for domain-specific tasks). * Collaborate with Data ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$210 - $260/hr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

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Meta Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do meta machine learning engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for meta machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Meta Machine Learning Engineer jobs?

Cities with the most Meta Machine Learning Engineer job openings:

What states have the most Meta Machine Learning Engineer jobs?

States with the most job openings for Meta Machine Learning Engineer jobs include:

Infographic showing various Meta Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer (Technical Leadership)

Meta

New York, NY

$271K/yr

Full-time

Posted 13 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta is seeking a Machine Learning Engineer to join our integrity engineering team. The ideal candidate will have deep industry experience building and deploying machine learning systems at scale, including model development, training infrastructure, and optimization. You will work on leveraging ML models to detect and enforce content to keep the platforms safe and create a better user experience across Meta's products — from payment fraud detection and click-through rate prediction to search ranking, content enforcement, and spam detection. This role involves applying advanced ML techniques to some of the most exciting and massive-scale prediction problems on the web.
Machine Learning Engineer (Technical Leadership) Responsibilities:
  • Drive the team's ML strategy & technical direction to pursue opportunities that advance machine learning capabilities across the organization
  • Design and develop end-to-end machine learning systems, from data pipelines to model training, evaluation, and deployment
  • Lead experimentation and A/B testing frameworks to measure and optimize model performance
  • Build highly scalable classifiers and ML tools leveraging deep learning, data regression, and rules-based models
  • Adapt and optimize machine learning methods for modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
  • Partner with research teams to translate cutting-edge ML research into production systems
  • Mentor and influence ML engineers across organizations, raising the bar for ML best practices
  • Identify new ML opportunities for the larger organization and influence staffing/prioritization of these initiatives
  • Effectively communicate complex ML systems and architectural decisions to technical and non-technical stakeholders

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading projects with industry-wide impact
  • Experience communicating and working across functions to drive solutions
  • Experience in mentoring/influencing engineers across organizations
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
  • Experience in driving large cross-functional/industry-wide engineering efforts
  • 12+ years of experience in programming languages (Python, C++, or Java) with technical background
  • 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with deep learning frameworks (PyTorch, TensorFlow) and ML infrastructure tools
  • Familiarity with MLOps practices, model monitoring, and production ML systems
  • Experience building and optimizing large-scale model training pipelines
  • Experience shipping ML-powered products to millions of users or launching new ML product lines
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Publications or contributions to the ML research community

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative 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 accommodations-ext@meta.com.
$271,000/year to $347,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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