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Added 2 mins ago
Software Engineer, Systems ML
Meta
Denver, CO
Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across our Systems ML Engineering organization. In this role, you will define the architectural…
Added 18 mins ago
CI
Sr. Staff Software Engineer, Cribl Detect
Cribl, Inc
Denver, CO
- $230,000 to $280,000 USD / year
…aren't afraid to break a few things along the way if it means learning faster and building something better. This is where we experiment, prototype, and turn rough ideas into real products…
Added 24 mins ago
Information Security Advisor - Detection Engineer
Elevance Health
Indianapolis, IN
Machine learning concepts, anomaly detection, and predictive analytics for cybersecurity use cases experience preferred.
Added 36 mins ago
Software Engineer III, AI/ML, Google Labs
Google
Mountain View, CA · Boulder, CO
1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Added 36 mins ago
Staff Software Engineer, Agent Quality
Google
Sunnyvale, CA
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Added 51 mins ago
Sr. Machine Learning Engineer
TEC Group Inc
Dearborn, MI
Sr. Machine Learning Engineer 140,000 to 180,000 per year Yearly Bonus Summary: As a Senior Machine Learning Engineer within the AI Squad and reporting to the Director of AI Engineering,…
Added 55 mins ago
Senior Infrastructure Engineer
Jobgether
Remote, United States
Familiarity with scalable and reproducible machine learning pipelines and tools such as Kubeflow, MLflow, and Amazon SageMaker.
Added 1 hour ago
Staff Software Engineer, Search Ads Syndication Quality AI/ML
Google
Mountain View, CA
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Added 1 hour ago
Senior Technical Program Manager
Jobgether
Remote, United States
Added 1 hour ago
O
Principal Core Infrastructure Engineer-Network Capacity
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
…planning teams. You will work closely with Software Developers, Machine Learning Engineers, Data Scientists, domain experts, and product stakeholders to translate complex planning…
Added 3 hours ago
Technical Content Writer
Efficient Computer
TX · Austin, TX · San Francisco, CA
Embedded machine learning, digital signal processing, or real-time control
Added 3 hours ago
Software Engineer, Hybrid
Cisco
Research Triangle Park, NC
Proven experience in working with AI-native frameworks and integrating machine learning capabilities into enterprise applications to drive innovation and automated decision-making.
Added 3 hours ago
Senior Automation Engineer
Alcon Research, LLC. Company
Fort Worth, TX
…processes such as integrating Artificial Intelligence (AI)/Machine Learning (ML) systems, vision inspection systems, cobots, autonomous mobile robots (AMR), fully automated end-of-line…
Added 4 hours ago
DevOps Engineer
Jobgether
Remote, United States
Exposure to MLOps or machine learning pipeline development.
Added 4 hours ago
Software Engineer II Low Level Embedded Software
BAE Systems
Merrimack, NH
…aircraft and ground vehicle environments. Our team uses advanced machine learning-based algorithms to enable fast adaption for new and emerging threats for airborne, land, and maritime…
Added 4 hours ago
Power Automation Developer
GD Information Technology, Inc.
Remote, United States
…Automate, with a strong focus on secure application architecture, system integration, and custom development. This role blends architectural leadership with active solution delivery and…
Added 5 hours ago
PN
Post Doctorate Research Associate- Water Resource Engineer/Hydrologist
Pacific Northwest National Laboratory
UNAVAILABLE · Richland, WA · Seattle, WA
- $69,000 USD / year
Apply advanced physical, statistical, and machine learning approaches using both commercial-off-the-shelf and custom developed tools.
Added 6 hours ago
Data Scientist 1
Baylor Scott & White Health
Remote, United States
Applied Data Science and Experimentation | 20%: Apply statistical analysis, machine learning, natural
Added 7 hours ago
Data Scientist, ADAS Analytics Machine Learning
Mercedes-Benz
San Jose, CA
Build model-based ranking and scoring systems that reduce manual event triage, develop active-learning loops using engineer feedback, and proactively detect fleet-level anomalies.
Added 8 hours ago
TT
Staff Software Engineer, Infrastructure
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
Join a small AI and machine learning product team as a staff-level infrastructure engineer. You will build and operate reliable cloud infrastructure that supports AI agent workloads and…
Added 8 hours ago
KC
Product Installation Engineer - SPTS - 90% Travel. Oregon Based
KLA Corporation
Hillsboro, OR
- $33.75 to $57.36 USD / hour
…tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want…
Added 8 hours ago
AI/ML Engineer Team Lead
Vizient
Chicago · Irving · Centennial
Lead the architecture, development, deployment, and operation of enterprise-grade AI and machine learning solutions.
Added 8 hours ago
Mechatronics Engineer, Production Equipment
Zipline
South San Francisco, CA
…build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere…
Added 8 hours ago
Lead Mechanical Engineer, Production Equipment
Zipline
South San Francisco, CA
…build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere…
Added 8 hours ago
Controls Engineer, Production Equipment
Zipline
South San Francisco, CA
…build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere…

Closed listing

Software Engineer, Systems ML

Juneau, AK, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Oct 8, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across our Systems ML Engineering organization. In this role, you will define the architectural foundations that power large-scale machine learning infrastructure, spanning training systems, inference pipelines, ML compilers, high-performance computing frameworks, and on-device optimization. You will identify and solve the hardest cross-system ML infrastructure challenges, shape multi-year technical roadmaps, and amplify the impact of engineering teams through AI-native workflows and deep systems expertise. This is a role for engineers who identify problems others miss and drive them to resolution at organizational scale.

Required Skills:

Software Engineer, Systems ML Responsibilities:

Identify and solve the most complex cross-system ML infrastructure challenges spanning training, inference, compiler optimization, and hardware-software co-design, including problems that have resisted prior solution attempts
Define extensible architectural standards and technical foundations for ML systems that enable consistency and reliability across multiple engineering organizations
Develop and own the multi-year technical roadmap for ML systems infrastructure, balancing short-term delivery with long-term platform health and competitive positioning
Leverage AI-native tooling and workflows as a force multiplier to eliminate entire categories of engineering toil and accelerate cross-disciplinary work across the ML systems stack
Drive performance improvements across large-scale ML training and inference systems by identifying bottlenecks that span multiple subsystems, ownership boundaries, and abstraction layers
Establish invariants, correctness proofs, and systemic reliability practices that prevent whole classes of failures across ML infrastructure pipelines
Partner with research, hardware, and product engineering teams to translate theoretical ML systems advances into production infrastructure that delivers measurable efficiency and capability gains
Assess emerging AI and computing technologies, evaluate competitive ML infrastructure trends, and influence organizational strategy to ensure technical competitiveness
Mentor engineers across the organization by providing customized coaching, leading engineering programs, and establishing a culture of thoroughness and high craft in ML systems development
Communicate complex ML systems architecture and strategy clearly to technical and non-technical audiences, producing reference-quality design documents and roadmap artifacts

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12+ years of experience in software engineering with deep specialization in one or more ML systems domains including AI infrastructure, ML compilers, high-performance computing, GPU architecture, ML frameworks, or on-device optimization
Experience architecting and delivering large-scale ML training or inference infrastructure that has had measurable impact across multiple engineering organizations
Experience leading multi-year cross-functional technical initiatives, including defining metrics, managing dependencies, and driving execution across organizational boundaries
Experience developing high-performance ML systems infrastructure in C++, Python, or CUDA, including work at the intersection of hardware and software
Experience influencing technical direction and engineering practices across multiple teams through written proposals, design reviews, and stakeholder alignment

Preferred Qualifications:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience contributing to industry-wide ML systems efforts through publications, open-source projects, or standards bodies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Track record of applying AI tools and automation to redesign engineering workflows, with demonstrated efficiency or quality improvements at organizational scale
Experience with ML compiler stacks such as MLIR, XLA, or TVM, or with hardware-software co-design for custom ML accelerators
Experience defining and operationalizing reliability, performance, and correctness standards for distributed ML training or large-scale inference systems

Public Compensation:

$219,000/year to $301,000/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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