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Added 11 mins ago
J
Software Engineer II - Cloud-Native Agent Harness (Mecatl)
Jobgether
Remote, United States
- $157,500 to $192,500 USD / year
…work across backend systems, Kubernetes-native infrastructure, developer tools, APIs, and security frameworks. The position offers significant technical ownership, allowing you to drive…
Added 11 mins ago
AI Research Engineer (Agentic Reinforcement Learning)
Jobgether
Remote, United States
Through rigorous experimentation and benchmarking, you will push the boundaries of model performance, efficiency, and generalization.
Added 13 mins ago
Software Engineer, Systems ML
Meta
Pierre, SD
…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…
Added 13 mins ago
Staff Full-stack Engineer - Shopping (Remote-eligible)
Capital One
Pierre, SD
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Added 13 mins ago
Liability Claims Examiner | General Liability and Auto Liability Bodily Injury | License Preferred
Sedgwick
Pierre, SD
ARE YOU AN IDEAL CANDIDATE? We are looking for driven individuals that embody our caring counts model and core values that include empathy, accountability, collaboration, growth, and…
Added 13 mins ago
Liability Claims Representative | Auto Liability | Dedicated Client | Licensing Preferred
Sedgwick
Pierre, SD
ARE YOU AN IDEAL CANDIDATE? We are looking for driven individuals that embody our caring counts model and core values that include empathy, accountability, collaboration, growth, and…
Added 13 mins ago
Data Scientist 1
Baylor Scott & White Health
Pierre, SD
Model and Agent Lifecycle | 15% : Support models and AI agents from experimentation through deployment
Added 13 mins ago
Senior Manager, Security Operations Center
Rubrik
Pierre, SD
Set the direction and operating model for a modern SOC.
Added 13 mins ago
Analytics Developer 1
Baylor Scott & White Health
Pierre, SD
Added 13 mins ago
Presales Solutions Architect - ICX Channel
Siemens
Pierre, SD
◦ Enable partners to model a customer's domain as an enterprise ontology , build agents and machine learning that reason over it and act on it, and deliver working agentic applications that…
Added 13 mins ago
O
Senior Applied Scientist
Oracle
Pierre, SD
- $113,000 to $234,600 USD / year
Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
Added 13 mins ago
C
AI-Augmented Data Analyst
Cognizant
Pierre, SD
- $115,000 to $135,000 USD / year
Added 13 mins ago
EG
Senior Director of Finance
Eliassen Group
Pierre, SD
- $85 to $95 USD / hour
Added 16 mins ago
Vice President, Global Brand Creative & Experiences
Marriott
Bethesda, MD
Clarify the agency’s mandate, capability model, intake and prioritization process, quality standards, and relationship with internal clients and regional teams.
Added 21 mins ago
Sr. Director Commercial Loan Operations
Flagstar Bank
Hicksville, NY · Troy, MI
Develop and execute the enterprise-wide vision, strategy, and operating model for Commercial Loan Operations in alignment with the Bank's growth objectives, risk appetite, and profitability…
Added 24 mins ago
Software Engineer, Systems ML
Meta
Cheyenne, WY
…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…
Added 24 mins ago
Staff Full-stack Engineer - Shopping (Remote-eligible)
Capital One
Cheyenne, WY
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Added 24 mins ago
Liability Claims Examiner | General Liability and Auto Liability Bodily Injury | License Preferred
Sedgwick
Cheyenne, WY
ARE YOU AN IDEAL CANDIDATE? We are looking for driven individuals that embody our caring counts model and core values that include empathy, accountability, collaboration, growth, and…
Added 24 mins ago
Liability Claims Representative | Auto Liability | Dedicated Client | Licensing Preferred
Sedgwick
Cheyenne, WY
ARE YOU AN IDEAL CANDIDATE? We are looking for driven individuals that embody our caring counts model and core values that include empathy, accountability, collaboration, growth, and…
Added 24 mins ago
Senior Manager, Security Operations Center
Rubrik
Cheyenne, WY
Set the direction and operating model for a modern SOC.
Added 24 mins ago
Data Scientist 1
Baylor Scott & White Health
Cheyenne, WY
Model and Agent Lifecycle | 15% : Support models and AI agents from experimentation through deployment
Added 24 mins ago
Analytics Developer 1
Baylor Scott & White Health
Cheyenne, WY
Added 24 mins ago
Presales Solutions Architect - ICX Channel
Siemens
Cheyenne, WY
◦ Enable partners to model a customer's domain as an enterprise ontology , build agents and machine learning that reason over it and act on it, and deliver working agentic applications that…
Added 24 mins ago
O
Senior Applied Scientist
Oracle
Cheyenne, WY
- $113,000 to $234,600 USD / year
Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
Added 24 mins ago
C
AI-Augmented Data Analyst
Cognizant
Cheyenne, WY
- $115,000 to $135,000 USD / year

Closed listing

Software Engineer, Systems ML

Jackson, MS, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

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.

About employer

More about this job

Skills

ML
Distributed computing
C++
Python
Research
Debugging
Computer science
Computer engineering
Machine learning
PyTorch
TensorFlow
Hazard assessment

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