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Sr Enterprise Account Exec ( Armis / Veza )
ServiceNow
Remote, United States
You will produce new business sales revenue from a SaaS license model. You will accomplish this through account planning, territory planning, researching prospect customers, using business…
Added 1 min ago
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Software Engineer, AI Platform
Vanta
Remote, United States
- $224,000 to $263,000 USD / year
AI Platform builds the shared foundations that help teams across Vanta ship trustworthy AI products. We own SDKs, model integrations, agent infrastructure, and tools for evaluating and…
Added 1 min ago
Senior Manager, Employee Onboarding
Netflix
Los Angeles · Los Gatos
Added 4 mins ago
Vice President, AMER Solutions Engineering
Equinix (US) Enterprises, Inc.
United States
…technical sales strategy, customer architecture engagement model, and pre-sales solution development capabilities required to accelerate growth, protect existing revenue, and strengthen…
Added 4 mins ago
Lead Engineer, Health Data Integrations
Total Performance Consulting
GA
Map data from different sources into a common model that supports standard clinical terminology, patient matching, provenance, and auditability.
Added 4 mins ago
Language Enabled Analyst
Booz Allen Hamilton_United States
Wright Patterson AFB, OH
Added 4 mins ago
Naval Program Analyst
Booz Allen Hamilton_United States
Washington, DC
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Chemist
Booz Allen Hamilton_United States
Watervliet, NY
Added 4 mins ago
Power Platform Business Analyst & Developer
Booz Allen Hamilton_United States
Springfield, VA
We are seeking an experienced Power Platform Business Analyst & Developer to support the design, development, and delivery of business process solutions, such as tool, apps, and dashboards,…
Added 4 mins ago
Naval IT Project Manager
Booz Allen Hamilton_United States
Washington, DC
Added 4 mins ago
Supply Chain SME and Humanitarian Response Logistics Lead
Booz Allen Hamilton_United States
Silver Spring, MD
Added 4 mins ago
Enterprise Cybersecurity Cyber Logistics and Business Operations Analyst
Booz Allen Hamilton_United States
McLean, VA
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Aviation Analyst
Booz Allen Hamilton_United States
Norfolk, VA
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Network Engineer
Booz Allen Hamilton_United States
Reston, VA · Springfield, VA
Added 4 mins ago
Cybersecurity Engineer and Risk Analyst
Booz Allen Hamilton_United States
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Information System Security Officer
Booz Allen Hamilton_United States
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Applied AI Engineer
Booz Allen Hamilton_United States
McLean, VA · Fort Belvoir, VA
Experience deploying and managing analytical dashboards or mechanisms to track user interactions and model performance
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RMF Cybersecurity Engineer
Booz Allen Hamilton_United States
Fort Meade, MD
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Test Engineer
Booz Allen Hamilton_United States
Aurora, CO
Experience using Model-Based Systems Engineering tools to manage system definitions, technical baselines, and requirements verification
Added 4 mins ago
Cloud Architect
Booz Allen Hamilton_United States
Ashburn, VA
Added 4 mins ago
IT Project Manager
Booz Allen Hamilton_United States
Bremerton, WA
Added 4 mins ago
Data Security Engineer
Booz Allen Hamilton_United States
Fort Meade, MD · McLean, VA · Bratenahl, OH · Fort Belvoir, VA · Indianapolis, IN · Doral, FL · Omaha, NE · Huntsville, AL · Arlington, VA · Cleveland, OH · Colorado Springs, CO · Reston, VA
Added 4 mins ago
Data Security Engineer, Senior
Booz Allen Hamilton_United States
Colorado Springs, CO · Huntsville, AL · Fort Belvoir, VA
Added 4 mins ago
UI Full Stack Developer
Booz Allen Hamilton_United States
Albuquerque, NM
We are seeking a mid-level Full Stack Developer with an emphasis on front-end development to design, develop, and deploy modern web applications supporting secure AWS environments operating…
Added 4 mins ago
Data Scientist
Booz Allen Hamilton_United States
Chantilly, VA

Closed listing

Software Engineer, Systems ML

Frankfort, KY, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 6+ years of experience in software engineering with a focus on machine learning systems, AI infrastructure, or high-performance computing
Posting language: English
Posted: Sep 15, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

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 this role, you will design and develop high-performance ML systems, working across the full stack from model training and inference pipelines to hardware-aware optimizations. You will collaborate with researchers, platform engineers, and product teams to accelerate ML workloads and improve the efficiency of AI infrastructure that serves billions of users.

Required Skills:

Software Engineer, Systems ML Responsibilities:

Design, build, and optimize large-scale ML training and inference systems, including distributed computing frameworks and hardware-accelerated pipelines
Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring reliability, scalability, and low-latency execution
Identify and resolve performance bottlenecks across the ML stack using profiling, instrumentation, and benchmarking tools
Architect and evaluate trade-offs in ML system design, including memory bandwidth, compute utilization, and I/O throughput
Partner with research and product teams to translate ML model requirements into efficient infrastructure solutions
Define and track system-level metrics and service level objectives to maintain production reliability of ML serving systems
Lead technical design reviews and contribute to engineering standards for ML systems across the organization
Mentor other engineers on ML infrastructure best practices, debugging methodologies, and performance optimization techniques
Drive adoption of AI-augmented development workflows to expand engineering productivity and broaden the scope of deliverables
Contribute to staged rollout strategies using feature flagging and experimentation frameworks to safely deploy ML system changes

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6+ years of experience in software engineering with a focus on machine learning systems, AI infrastructure, or high-performance computing
Experience developing and optimizing ML training or inference pipelines using frameworks such as PyTorch, TensorFlow, or equivalent
Experience with distributed computing architectures and large-scale systems design for ML workloads
Experience programming in C++ and Python for performance-critical systems
Experience using profiling and performance analysis tools to identify and resolve bottlenecks in ML or compute-intensive systems

Preferred Qualifications:

Experience optimizing large-scale ranking and recommendation model inference on AI accelerator hardware
Experience with hardware-software co-design, including numerics optimization and SIMD or vectorization techniques
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with GPU programming using CUDA, ROCm, or equivalent hardware accelerator kernel development
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)

Public Compensation:

$154,003/year to $217,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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.

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