Jobs in the United States

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Added 4 mins ago
Forward Deployment (FD) Agentic Solutions Consultant - Sales
Jobgether
Remote, United States
At least 2 years of experience designing, building, or managing AI and automation solutions in roles such as Product Manager, Solutions Engineer, Sales Engineer, or Consultant.
Added 1 hour ago
J
Enterprise Solution Architect
Jobgether
Remote, United States
- $210,000 to $250,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Enterprise Solution Architect based in the United States…
Added 1 hour ago
Lead Specialist, AI Scientist
Pearson
Remote, United States
We are seeking a Lead Specialist, Applied AI Systems Engineer, to design, build, and continuously improve the intelligent systems that support Pearson’s work developing the next generation…
Added 1 hour ago
M
Senior Software Engineer
Microsoft
United States
- $119,800 to $261,000 USD / year
As a Senior Software Engineer, you will lead the design and development of a new solution that orchestrates Virtual Machine Scale Sets across Azure regions. The solution will help…
Added 1 hour ago
M
Software Engineer: Intern Opportunities for University Students - CoreAI - Redmond, WA
Microsoft
WA · Redmond, WA · Redmond
- $5,690 to $12,250 USD / month
Quickly learns new engineering methods, emerging AI and machine learning techniques and incorporates them into work processes.
Added 1 hour ago
M
Software Engineer- CoreAI
Microsoft
WA · Redmond, WA · Redmond
- $85,400 to $183,700 USD / year
As a Software Engineer in CoreAI, you will collaborate with engineers, applied scientists, and product teams to build AI-powered developer experiences, intelligent applications, and…
Added 1 hour ago
M
Senior Machine Learning Engineer - Applied Scientist
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · San Francisco, CA · Redmond · Mountain View · New York · San Francisco
- $119,800 to $261,000 USD / year
We are looking for a Senior Machine Learning Engineer - Applied Scientist to help define, evaluate, and build the next generation of AI-powered product experiences. This role requires a…
Added 1 hour ago
M
Senior Software Engineer - Minecraft
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
The Mojang Player Operations team is looking for a Senior Software Engineer to help drive innovation in Trust and Safety. Our team is accountable for ensuring our players have a world-class…
Added 1 hour ago
M
Senior Researcher/Engineer: AI for Biomolecular Modelling and Simulation
Microsoft
United States
- $119,800 to $261,000 USD / year
We invite you to join us on this mission. We are seeking Senior Researcher/Engineer with backgrounds in Machine Learning, Computational Chemistry, Physics or Biology. You will be working in…
Added 1 hour ago
M
Software Engineer 2
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · Redmond · Mountain View · New York
- $102,100 to $219,200 USD / year
Experience with machine learning model development, release, and operations.
Added 2 hours ago
Senior Machine Learning (ML) Engineer (CCC Casualty / Claims Intelligence)
EvolutionIQ
Remote, United States
As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions. You'll join a new engineering group at…
Added 2 hours ago
PN
Research Engineer II - Building Energy Analysis
Pacific Northwest National Laboratory
UNAVAILABLE · Richland, WA · Seattle, WA · Portland, OR
- $89,300 USD / year
The BS&DG is seeking a Research Engineer II - Building Energy Analysis with strong knowledge of building energy systems, programming and data analysis skills, and experience evaluating…
Added 2 hours ago
DISTINGUISHED SCIENTIST/ENGINEER FOR USW THEATER OPERATIONS
Naval Sea Systems Command
Naval Base Newport, RI
Added 2 hours ago
Founding Engineer, Process Modelling & Product
Roosevelt Talent
San Francisco, CA
…the world manages wastewater. Across thousands of factories and treatment plants, operators still record data, collect samples, and run lab work by hand to make the decisions that keep…
Added 2 hours ago
Senior AI Engineer – Claude & Databricks
Techstra Solutions
Pittsburgh, PA
Design and develop data pipelines supporting AI, analytics, and machine learning workloads.
Added 2 hours ago
Mid-Level Databricks Engineer
Techstra Solutions
Pittsburgh, PA
We are seeking a Mid-Level Databricks Engineer to design, develop, and support scalable data solutions using Databricks and modern cloud data platforms. This role will focus on building…
Added 2 hours ago
Senior Databricks Engineer
Techstra Solutions
Pittsburgh, PA
We are seeking a Senior Databricks Engineer / Technical Lead with 10+ years of experience in data engineering, data warehousing, and ETL/ELT, including significant hands-on experience…
Added 2 hours ago
Machine Learning Engineer Senior
Techstra Solutions
Dallas, TX
Leads in the development of cross-functional, multi-platform machine learning software systems. Uses technical knowledge and industry experience to design, build and maintain technology…
Added 2 hours ago
Databricks Engineer & AI Enablement Architect - Data Engineer III
Deloitte US
Baltimore, MD · Rosslyn, VA · Washington, DC
Databricks Certified Data Engineer Professional, Data Analyst Associate, Machine Learning Professional, or Generative AI Engineer Associate certification
Added 3 hours ago
Al ML Engineer
CGI Technologies and Solutions, Inc.
Lafayette, LA
The AI/ML Engineer is an engineer responsible for developing, testing, and deploying machine learning solutions that support analytics, automation, and decision making capabilities. This…
Added 3 hours ago
Forward Deployed Engineer
CGI Technologies and Solutions, Inc.
Lafayette, LA
. Collaborate with cross functional teams to translate complex business problems into machine learning solutions that guide prediction and forecasting.
Added 3 hours ago
Research Scientist/Engineer 4 - Biostatistics Department (temporary)
University of Washington
Seattle, WA
Reporting to Dr. Ali Shojaie, Department of Biostatistics Interim Chair and PI, the Research Scientist/Engineer 4 will be responsible for developing new statistical machine learning and AI…
Added 3 hours ago
Lead AI Software Engineer
Humana Inc.
Louisville, KY · Fort Lauderdale, FL · Nashville, TN · Tampa, FL · Dallas, TX
Develop production-grade applications integrating AI and machine learning capabilities.
Added 4 hours ago
Data Engineer - AI-Enabled Capacity Analytics
Comcast
Philadelphia, PA
Join Comcast's National Traffic and Capacity Management (NTCM) team as a Data Engineer III and help build trusted data solutions that support network capacity planning and optimization…
Added 4 hours ago
KC
Customer Engagement Engineer (FaST)
KLA Corporation
Hillsboro, OR
- $136,700 to $232,400 USD / year
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon…

Closed listing

Software Engineer, Systems ML

Harrisburg, PA, 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
Experience with ML compiler technologies such as MLIR, LLVM, TVM, XLA, or IREE
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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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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