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.
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.
Senior Machine Learning Engineer
Austin, TX · On-site
$210K - $260K/yr
Meta-learning * Ranking, prediction or optimisation models * At least 3 years of experience building end-to-end machine learning systems, including training, deployment, serving and monitoring.
Senior Machine Learning Engineer
Austin, TX · On-site
$210K - $260K/yr
Meta-learning * Ranking, prediction or optimisation models * At least 3 years of experience building end-to-end machine learning systems, including training, deployment, serving and monitoring.
Senior Machine Learning Engineer
Austin, TX · On-site
$335 - $400/hr
Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...
New
Senior Machine Learning Engineer
Austin, TX · On-site
$335 - $400/hr
Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...
New
Senior Machine Learning Engineer
Austin, TX · On-site
$210 - $260/hr
Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...
Senior Machine Learning Engineer
Austin, TX · On-site
$210 - $260/hr
Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
Meta's 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.
Meta's 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.
Senior Machine Learning Engineer
Austin, TX · On-site +1
$335K - $400K/yr
Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...
Senior Machine Learning Engineer
Austin, TX · On-site +1
$335K - $400K/yr
Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...
Executive Director - Applied Artificial Intelligence Machine Learning
Plano, TX · On-site
$180 - $240/hr
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B ...
Executive Director - Applied Artificial Intelligence Machine Learning
Plano, TX · On-site
$180 - $240/hr
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B ...
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B ...
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B ...
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B ...
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B ...
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B ...
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure de.
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure de.
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure de.
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure de.
ASIC Engineer, Design
$146K/yr
Meta is seeking highly skilled Design Engineers to join our team. In this role, you will contribute to the development of advanced technology solutions, including machine learning, graphics, display ...
ASIC Engineer, Design
$146K/yr
Meta is seeking highly skilled Design Engineers to join our team. In this role, you will contribute to the development of advanced technology solutions, including machine learning, graphics, display ...
Experience with Design verification of Data-center applications like Video, Artificial Intelligence/Machine Learning (AI/ML) and Networking designs About Meta: Meta builds technologies that help ...
Experience with Design verification of Data-center applications like Video, Artificial Intelligence/Machine Learning (AI/ML) and Networking designs About Meta: Meta builds technologies that help ...
Do you want to solve complex network management problems using machine learning to improve ... as seasonal or temporary employment The benefits that generally apply to regular, full-time ...
Do you want to solve complex network management problems using machine learning to improve ... as seasonal or temporary employment The benefits that generally apply to regular, full-time ...
Do you want to solve complex network management problems using machine learning to improve ... as seasonal or temporary employment The benefits that generally apply to regular, full-time ...
Do you want to solve complex network management problems using machine learning to improve ... as seasonal or temporary employment The benefits that generally apply to regular, full-time ...
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 ...
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 ...
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?
| Aspect | Temporary Meta Machine Learning | Data Scientist |
|---|---|---|
| Credentials | Typically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are common | Requires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous |
| Work Environment | Project-based, often contract roles within tech companies, startups, or consulting firms | Full-time or contract roles in various industries including finance, healthcare, and tech |
| Industry Usage | Primarily in tech, AI, and machine learning-focused companies | Widely 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:
Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
137th of 245 rated software companies
Job description
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 data center workloads at scale. As an ASIC Engineer specializing in architecture, performance and modeling, you will define and drive the architectural definition, performance analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs designed for Meta's Data Centers. In this role, you will own ASIC architecture specification, establish the performance modeling methodology and long-term silicon roadmap strategy, partnering with other silicon, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.
Machine Learning SoC Architect Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
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.
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 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.
$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.
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