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Temporary Meta Machine Learning Jobs in Texas (NOW HIRING)

Meta

Critical Facility Engineer

Temple, TX · On-site

$88K/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

Critical Operations Manager

El Paso, TX · On-site

$143K/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

Critical Facility Engineer

El Paso, TX · On-site

$88K/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

ASIC Engineer, Design Verification

Austin, TX · On-site +1

$146K/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

ASIC Engineer, Power

Austin, TX · On-site +1

$146K/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

Network Engineer, Optical Deployment

Garland, TX

$135K/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

Network Engineer, Optical Deployment

Houston, TX · On-site

$135K/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

Network Engineer, Deployment & Support

El Paso, TX · On-site

$135K/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

Network Engineer, Deployment & Support

Rayville, LA · On-site

$135K/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

Product Manager

Austin, TX · On-site

$173K/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

Solutions Architect

Austin, TX · On-site

$152K/yr

Champion AI-native approaches by designing and integrating advanced AI and machine learning solutions into sales processes and customer experiences. This includes leveraging Meta's AI platforms and ...

Meta

Network Engineer, Deployment & Support

Garland, TX · On-site

$106K/yr

Working knowledge of Artificial Intelligence / Machine Learning models About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in ...

Meta

Network Engineer, Deployment & Support

Temple, TX

$106K/yr

Working knowledge of Artificial Intelligence / Machine Learning models * Advanced degree (Master's, PhD) in Computer Science, Engineering, or related discipline About Meta: Meta builds technologies ...

Meta

Network Engineer, Deployment & Support

Garland, TX · On-site

$106K/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

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 are the most commonly searched types of Meta Machine Learning jobs in Texas?

The most popular types of Meta Machine Learning jobs in Texas are:

What are popular job titles related to Temporary Meta Machine Learning jobs in Texas?

For Temporary Meta Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Temporary Meta Machine Learning jobs in Texas look for?

The top searched job categories for Temporary Meta Machine Learning jobs in Texas are:

What cities in Texas are hiring for Temporary Meta Machine Learning jobs?

Cities in Texas with the most Temporary Meta Machine Learning job openings:

Temporary Meta Machine Learning jobs near you

ASIC Engineer, Performance Architecture and Modeling

Austin, TX • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$146K/yr

Full-time

Re-posted 22 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta's Silicon Engineering organization is building custom silicon solutions that power the infrastructure underpinning Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture, performance and modeling, you will define and drive the architectural performance analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs designed for Meta's infrastructure. In this role, you will establish functional and performance modeling methodologies and long-term silicon roadmap strategy, as well as develop and analyze workloads, partnering with architecture, design, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.
ASIC Engineer, Performance Architecture and Modeling Responsibilities:
  • Drive microarchitectural exploration and trade-off analysis across compute, memory subsystem, interconnect, and I/O domains to inform silicon architecture decisions
  • Define and own the performance modeling strategy for custom infrastructure ASICs, including development of cycle-accurate and transaction-level simulation environments
  • Develop and maintain C++ models of AI chip IPs and subsystems for architecture exploration, performance analysis, and software development
  • Develop low-level workloads and kernels for machine learning training and inference applications
  • Establish performance analysis methodologies, benchmarking frameworks, and bottleneck identification techniques across the full ASIC pipeline
  • Collaborate with architecture, RTL design, and physical design teams to translate performance requirements into implementable microarchitectural specifications
  • Partner with software and systems teams to co-optimize workload scheduling, firmware, and driver behavior against silicon performance characteristics
  • Lead cross-functional technical reviews and communicate performance modeling results and architectural recommendations to engineering leadership
  • Define long-term performance modeling infrastructure roadmaps, including tooling, automation, and simulation platform investments
  • Mentor other engineers on performance modeling techniques, simulation methodology, and microarchitectural analysis best practices
  • Identify and resolve performance gaps between modeled and measured silicon behavior through structured root-cause analysis and model calibration

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of experience in ASIC design, silicon engineering, or a related technical field
  • Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools
  • 5+ years of experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs
  • Experience with performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon
  • Experience developing cycle-accurate or transaction-level performance models using C++ and SystemC for complex digital systems including processors, memory subsystems, or high-speed interconnects
  • Experience defining microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams
  • Experience with assembly programming languages, and compiler technologies

Preferred Qualifications:
  • Experience with AI numerics, data types, math functions, and precision/accuracy analysis
  • Experience writing and optimizing compute/collective kernels in CUDA or equivalent GPU programming frameworks
  • Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designs
  • Experience developing Python-based automation pipelines for simulation orchestration, regression testing, and performance data analysis
  • Familiarity with post-silicon performance validation and model-to-hardware correlation methodologies
  • Experience with hardware description languages (e.g., SystemVerilog, VHDL) and simulation environments used in ASIC development flows
  • Experience with high-level synthesis, power-performance-area trade-off analysis, or PPA-driven microarchitectural optimization

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.
$146,000/year to $209,000/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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