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Temporary Meta Machine Learning Jobs in Edison, NJ

Meta

Research Scientist - Reality Labs

New York, NY

$184K/yr

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 ...

Meta

Data Science Director (IC)

New York, NY · On-site

$253K/yr

... Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta's revenue. The ...

Meta

Software Engineer, Systems ML

New York, NY · On-site

$189K - $224K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that.

Meta

Software Engineer, Systems ML

New York, NY · On-site

$154K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive scale. In ...

Meta

Technical Program Manager, Ads Ranking

New York, NY · On-site

$168K/yr

Meta Ads Ranking seeks a Technical Program Manager (TPM) to lead complex, large-scale programs advancing our infrastructure and platforms with the state-of-the-art in machine learning and AI systems ...

Meta

AI Research Scientist, Physical AI

New York, NY · On-site

$184K/yr

Degree must be completed prior to joining Meta * Currently has or is in the process of obtaining a PhD degree in Artificial Intelligence, Physical AI, Computer Vision (3D), Machine Learning, relevant ...

Meta

Product Designer, Human Interface

New York, NY · On-site

$139K/yr

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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Temporary Meta Machine Learning information

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How much do temporary meta machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for temporary meta machine learning in Edison, NJ is $23.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $26.39 per hour, depending on experience, location, and employer.

What is a temporary Meta machine learning job?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.

What are the key skills and qualifications needed to thrive as a temporary Meta machine learning engineer?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

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

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What cities near Edison, NJ are hiring for Temporary Meta Machine Learning jobs?

Cities near Edison, NJ with the most Temporary Meta Machine Learning job openings:

Temporary Meta Machine Learning jobs near you
Infographic showing various Temporary Meta Machine Learning job openings in Edison, NJ as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $49,141 per year, or $23.6 per hour.

Software Engineer, Systems ML - Compilers / Backend

Meta

New York, NY

$154K/yr

Full-time

Re-posted 23 days ago

Key responsibilities

  • Support the development of the compiler tool-chain for deep learning hardware components optimized for AR/VR systems.

  • Analyze, design, and implement compiler passes, optimizations, and code generation targeting machine learning accelerators.

  • Collaborate with algorithm research and hardware teams to map ML models to hardware, optimize performance, and improve toolchain efficiency.

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

Reality Labs (RL) focuses on delivering Meta's vision through Virtual Reality (VR), Augmented Reality (AR) and Wearable AI Devices. The compute performance and power efficiency requirements of our AI devices require custom silicon. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will unlock personalized on-device AI capabilities and blend virtual, physical worlds on wearable devices. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.
Software Engineer, Systems ML - Compilers / Backend Responsibilities:
  • Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators
  • Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance
  • Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability
  • Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools
  • Analyze and improve the efficiency, scalability, and stability of our toolchains. Optimize and tune kernels and compiled code to achieve latency targets for ML inference
  • Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues
  • Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years experience developing compilers, toolchains, runtime, or similar code optimization software
  • Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis
  • Experience in AI framework development or accelerating models on hardware architectures (GPU, TPU, custom AI ASICs)

Preferred Qualifications:
  • Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe
  • Experience with machine-code generation or compiler back-ends for on-device inference workloads
  • Experience working and communicating cross functionally in a team environment
  • Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience developing high-performance kernels or runtime components and tuning them for inference specific accelerator platforms

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.
$154,003/year to $217,000/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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