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Machine Learning Architect Jobs (NOW HIRING)

Meta

Machine Learning SoC Architect

Austin, TX

$212K/yr

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 ...

1872 Consulting

Machine Learning Engineer

Austin, TX · On-site

Job Summary : Striveworks is a leader in Machine Learning Operations for highly regulated ... design and architecture • Familiarity with Javascript Preferred : • Experience with ETL/data ...

Forhyre

Machine Learning Engineer

New York, NY · On-site

Understanding of data structures, data modelling and software architecture * Deep knowledge of math ... Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit ...

Quantum Machines

Machine Learning Engineer

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Solid software engineering fundamentals (architecture, Git workflows, testing, code review)

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... learning architecture design to training dynamics and execution strategy. Your innovations will ...

Virtu Financial

Machine Learning Researcher

New York, NY

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... learning architecture design to training dynamics and execution strategy. Your innovations will ...

Daman Inc

Machine Learning Engineer

San Antonio, TX · On-site

The Machine Learning (ML) Engineer, with an interest in a variety of disciplines, will strive to ... architecture, design patterns, reliability and scaling) of new and current systems. * Strong ...

Coretek Services

Architect - Machine Learning and Data

$65.25 - $84/hr

Coretek is seeking an Architect, Machine Learning and Data to lead the design of production machine learning and generative AI platforms on Microsoft Azure and Microsoft Fabric. This role sits at the ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

CERTIFICATIONS • AWS Certified Machine Learning - Specialty (Preferred) • AWS Certified Solutions Architect - Associate or Professional (Preferred) • Databricks Machine Learning Certification ...

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... Collaborate with the product team, architects, and others to understand the opportunities and ...

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Machine Learning Architect information

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$46.5K

$128.8K

$201.5K

How much do machine learning architect jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.
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Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Machine Learning SoC Architect

Austin, TX

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

$212K/yr

Full-time

Re-posted 8 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 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:
  • 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.

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