Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and ...
Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and ...
Machine Learning SoC Architect
Austin, TX · On-site
Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power t.
New
Machine Learning SoC Architect
Austin, TX · On-site
Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power t.
New
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Quick apply
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Work with contract manufacturing partners through the design-for-manufacturing process and ... Familiar with AI/ML, server, storage, network, machine learning systems About Meta: Meta builds ...
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... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred
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... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred
Machine Learning Engineer L-1
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$80K - $93K/yr
... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred
Machine Learning Engineer L-1
Austin, TX · On-site
$80K - $93K/yr
... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred
Quick apply
Machine Learning Engineer L-1
Austin, TX · On-site
$80K - $93K/yr
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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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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 ...
... contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 ... With access to professionals spanning more than 10,000 skills across AI & machine learning ...
... contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 ... With access to professionals spanning more than 10,000 skills across AI & machine learning ...
... contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 ... With access to professionals spanning more than 10,000 skills across AI & machine learning ...
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Experience with physical implementation of machine learning accelerators, network-on-chip architectures, or high-bandwidth memory interfaces About Meta: Meta builds technologies that help people ...
Contract Meta Machine Learning information
See Lockhart, TX salary details
$13.70 - $14.62
4% of jobs
$14.62 - $15.54
3% of jobs
$15.54 - $16.47
10% of jobs
$17.05 is the 25th percentile. Wages below this are outliers.
$16.47 - $17.39
13% of jobs
$17.39 - $18.32
13% of jobs
The median wage is $18.85 / hr.
$18.32 - $19.24
13% of jobs
$19.24 - $20.16
11% of jobs
$20.88 is the 75th percentile. Wages above this are outliers.
$20.16 - $21.09
12% of jobs
$21.09 - $22.01
14% of jobs
$22.01 - $22.93
6% of jobs
$22.93 - $23.86
2% of jobs
$13
$19
$23
How much do contract meta machine learning jobs pay per hour?
What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?
What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?
| Aspect | Contract Meta Machine Learning | Contract Data Scientist |
|---|---|---|
| Required Credentials | Master's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworks | Master's or PhD in Data Science, Statistics, or related fields; strong programming skills |
| Work Environment | Focus on developing and deploying machine learning models, often in AI projects | Data analysis, modeling, and interpretation to inform business decisions |
| Employer & Industry Usage | Tech companies, AI startups, research institutions | Finance, healthcare, marketing, and tech firms |
Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.
What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?
What is a contract Meta machine learning professional?
Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
136th of 242 rated software companies
Job description
Machine Learning SoC Architect Responsibilities:
- Work on algorithm analysis, performance analysis and architecture definition of Machine Learning ASICs
- Map Data Center workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency
- evaluate performance v/s area v/s power tradeoffs
- Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs
- Identify appropriate workloads and micro-benchmarks to be used for performance analysis and drive this analysis on simulation and emulation platforms to define and validate the architecture
- Evangelize your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team
- Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon on an aggressive schedule
- Collaborate with software and firmware teams to ensure that the ASIC meets end to end application performance goals while maintaining ease and efficiency of software development
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks, hardware/software partitioning etc
- 12+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis
- Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs
- Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools
- Experience with performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon
- Experience defining architecture and microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams
Preferred Qualifications:
- Familiarity with post-silicon performance validation and model-to-hardware correlation methodologies
- Programming in C or C++ with knowledge of mapping hardware algorithms to efficient C/C++ code
- Master's or PhD degree in Electrical Engineering, Computer Engineering or related field
- Domain knowledge in one or more of power/performance tradeoffs, ML networks, ML frameworks such as Pytorch
- Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designs
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 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.
$212,000/year to $294,000/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.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US