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Added just now
Software Engineer, AI/ML, Ads Quality
Google
New York, NY
1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Added just now
Staff Software Engineer, Google Workspace, AI/ML
Google
Sunnyvale, CA
5 years of experience leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Added 13 mins ago
Customer Success Engineer (Weekend Shift)
VAST Data
New York, NY
…significant applications and use cases, including File protocols, Machine learning, Object Storage, and high-performance computing, at customer sites and in the lab. You will consult on…
Added 13 mins ago
Data Engineer
KBR
Camarillo, CA
As a Data Engineer, you will be a critical part of the team that is responsible for enabling the development of data-driven decision analysis products through the innovative application,…
Added 15 mins ago
UG
Principal AI/ML Engineer Remote Nationwide or Office-Based in MN/DC/NJ
UnitedHealth Group
Eden Prairie, MN
- $164,600 to $282,200 USD / year
…systems, retrieval-augmented generation (RAG), and applied machine learning. You will use LLM-assisted coding to accelerate the design and implementation of complex systems while…
Added 19 mins ago
2027 Data Scientist/Machine Learning Engineer
The Aerospace Corporation
El Segundo, CA
We develop and apply state of the art artificial intelligence, machine learning, and data science technologies to aerospace and national security applications. We are looking for a…
Added 24 mins ago
Artificial Intelligence/Machine Learning Engineers
FIS Global
Jacksonville, FL
As an Artificial Intelligence and Machine Learning Engineer, you will design and build generative artificial intelligence and agent-based solutions used across the organization. You will…
Added 26 mins ago
Construction Mechanical Engineer II
Relativity Space
Long Beach, CA
…with reams such as Manufacturing, Propulsion, PBF, Avionics, Machine Shop, Facilities, EHS, and Security to name a few, working through design specification and execution of critical…
Added 38 mins ago
Manager, Cloud Engineering
S&P OPCO LLC
NY
Job Duties: S&P OpCo, LLC seeks a Manager, Cloud Engineering who will engineer storage solutions and content replication to meet performance requirements. Administer AWS infrastructure…
Added 47 mins ago
RC
Senior Ai/ML Engineer
Redhorse Corporation
Remote, United States
- $180,000 to $200,000 USD / year
…this mission, we are seeking an Artificial Intelligence (AI)/Machine Learning (ML) Engineer to support Condition-Based Maintenance Plus (CBM+) initiatives that improve aircraft sustainment…
Added 50 mins ago
WD
Hardware Development Engineering
Western Digital
San Jose, CA
- $106,600 to $142,100 USD / year
Experience with scripting, automation, machine learning, or data visualization tools is a plus.
Added 52 mins ago
Principal Test & Evaluation Engineer
CORP-Corporate Office
United States
…cutting-edge commercial technologies - such as 5G communications, machine learning, and emerging wireless solutions - to operational military use cases, enabling advanced battle-management…
Added 57 mins ago
Sr Construction Project Manager
Relativity Space
Long Beach, CA
Design and implement comprehensive risk-mitigation frameworks. Predict potential system bottlenecks and engineer sophisticated contingency strategies to safeguard delivery timeliness and…
Added 1 hour ago
Aegis Operating Environment Engineer
MANTECH
King George, VA
MANTECH seeks a motivated, career and customer-oriented Aegis Operating Environment (OE) Engineer to join our team in King George, VA. This is an onsite position.
Added 1 hour ago
Z
Staff Systems Engineer, Simulation Systems Verification and Validation Lead
Zoox
Foster City, CA
- $208,000 to $287,000 USD / year
…technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re…
Added 1 hour ago
R&D Mechanical Engineer
FANUC America
Rochester Hills, MI
Fundamental understanding of machine design, mechanisms, and mechanical system development
Added 1 hour ago
DC
Senior Engineer - ML Operations
Danaher Corporation
Remote, United States
- $180,000 to $220,000 USD / year
The Senior MLOps Engineer is responsible for owning significant parts of the machine learning and agentic AI lifecycle that powers Danaher’s next generation of AI-driven products and…
Added 1 hour ago
HPE Labs - AI/ML Engineer (Technical Lead)
Hewlett Packard Enterprise
Milpitas, CA
Strong, current depth across AI and machine learning, including supervised and unsupervised learning, deep learning, natural language processing, large language models, generative AI,…
Added 1 hour ago
Lead Cyber Security Engineer
The MITRE Corporation
Fort Meade, MD
Ability to identify opportunities to leverage Artificial intelligence, machine learning, automation, Continuous Integration/Continuous Development (CI/CD) pipelines, Platform Engineering to…
Added 1 hour ago
Network Engineer 3
CACI International
Fort Meade, MD
CACI is seeking an experienced Network Engineer to join our team in Fort Meade, MD , supporting critical intelligence systems and our nation's intelligence capabilities.
Added 1 hour ago
Principal Engineer, Intelligent Factory
Reynolds Consumer Products
Louisville, KY
We currently have an opportunity for a Principal Engineer, Intelligent Factory at our Louisville plant in Louisville, KY. This position will travel up to 25% and support the Hot Springs,…
Added 1 hour ago
Full Stack Software Engineer (US Based Remote)
Torus
Salt Lake City, UT
…through resilient, sustainable, and intelligent power. We design, engineer, manufacture, install, and support our systems end-to-end, standing behind them throughout their lifecycle. Torus…
Added 1 hour ago
Software Sales Senior Manager - Accenture Billing and Payments Engine
Accenture LLP Company
NY
Manage a personal pipeline sufficient to ensure full coverage of the individual sales target; keep the CRM system updated with accurate stage, forecast category and deal data at all times.
Added 1 hour ago
Software Product Management Pre Sales Senior Manager - ALIP
Accenture LLP Company
NY
Experience scoping and running proof-of-concept engagements for core system replacements: defining the representative policy set, configuring the test environment and presenting results to…
Added 1 hour ago
Director Software Engineer for BRCC Inbound Communication (Hybrid - Newark, NJ or NYC)
Broadridge Investor Comm Solutions Inc
Newark, NJ · Edgewood, NY
Lead the use of AI, machine learning, OCR, and document intelligence to improve classification, extraction, validation, exception handling, and workflow automation.

Closed listing

Software Engineer, Systems ML

Helena, MT, 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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