Jobs in the United States

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Added 1 hour ago
J
Senior Machine Learning Engineer, Inference
Jobgether
Remote, United States
- $250,000 to $300,000 USD / year
…language model (LLM) technology. As a Senior Machine Learning Engineer, you will own inference optimization from research through production deployment, helping bring sophisticated models…
Added 1 hour ago
Program Manager II, Software Quality Assurance and Testing, Platforms and Devices
Google
Mountain View, CA
Partner with software engineer and program manager leads to establish objective entry/exit criteria, test matrix coverage requirements, and launch sign-off standards. Serve as a channel…
Added 1 hour ago
Hardware/Software Co-Design Engineer, Inference
Google
Sunnyvale, CA
Experience developing systems for performance modeling, simulation, or system analysis.
Added 1 hour ago
I
Member of Technical Staff, Product Security
Inferact
San Francisco, CA
- $200,000 to $400,000 USD / year
…prompts, and production traffic. You'll own the security of the systems that serve them: the inference platform and its APIs, the control plane, the cloud and Kubernetes infrastructure…
Added 1 hour ago
Staff Machine Learning Engineer（Risk Intelligence/AI Agent）
OKX
San Jose, CA
Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and…
Added 1 hour ago
T
Elasticsearch Engineer *No C2C*
TEKsystems
Lincoln, MA
- $120,000 to $250,000 USD / year
Designs, implements, integrates, and maintains systems and tools to automate complex cyber activities. Applies leading-edge principles, theories, and concepts. Contributes to the…
Added 2 hours ago
ASIC Design Verification Engineer, Google TPU
Google
Sunnyvale, CA
Experience with industry-standard simulators, revision control systems and regression systems.
Added 2 hours ago
Staff Software Engineer, Cloud ML Compute Services
Google
Kirkland, WA
5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
Added 2 hours ago
Machine Perception (MP) Engineer – Level 6
Northrop Grumman
Gilbert, AZ
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our…
Added 2 hours ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 2 hours ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 2 hours ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 2 hours ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 2 hours ago
Associate AI Engineer
Core VC
Los Angeles, CA
You'll ship quickly and experiment aggressively. Complex systems are built on simple, reliable ones, and we've spent a lot of time building that foundation. Now we want to see how far we…
Added 2 hours ago
AI Research Engineer
The Path
San Francisco, CA
…engineering to create models, orchestration, and evaluation systems that make therapy conversations deeply effective, clinically grounded, and…
Added 2 hours ago
Senior Backend Engineer - India
Lighthouz AI
Remote, United States
We're looking for a Backend Engineer with familiarity with front end tech to join our fast-growing engineering team. You'll play a key role in building and scaling the core infrastructure…
Added 2 hours ago
Z
Software Quality Engineer
ZipLiens
Franklin, TN
- $77,000 to $104,000 USD / year
…funds more quickly and accurately. We are looking for a quality engineer who is passionate about building the testing and evaluation that keeps complex, data-heavy products working…
Added 3 hours ago
Founding Software Engineer
Perceptis AI
Everett, WA · San Francisco, CA · Seattle, WA · Sunnyvale, CA
Added 3 hours ago
Senior/Staff Software Engineer [Full Stack]
Prudentia Sciences
Boston, MA · New York, NY
We're seeking an exceptional Senior/Staff Software Engineer to build and lead our core platform as we scale. This is a rare opportunity to join a high-impact technology company in a major…
Added 3 hours ago
P
QA Engineer
Purple-Squirrels
Newark, CA
- $110,000 to $135,000 USD / year
QA experience in automotive, embedded systems, or another hardware-adjacent software environment
Added 3 hours ago
Associate or Mid-Level AI/ML Engineer, Onsite in Boulder
Technical Integrity
Boulder, CO
We are looking for an entry- or mid-level engineer with hands-on skills in machine learning, cloud infrastructure, and software development to help build AI capabilities for satellite…
Added 3 hours ago
Senior Distributed Systems Engineer
OpenDataLabs
Remote, United States
We’re looking for a Distributed Systems Engineer to help design and build the scalable infrastructure powering data access and compute in the Vana network.
Added 3 hours ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · New York, NY · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 3 hours ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · New York, NY · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 3 hours ago
HPC & MLOps Engineer
C-Gen.AI
Mountain View, CA
As an HPC & MLOps Engineer, you will be a foundational member of our Data Center team - integral to the design, deployment, and maintenance of high-performance computing (HPC) and MLOps…

Software Engineer, AI/ML

New York, NY, United States

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Job details

Posting language: English
Posted: Nov 3, 2026

Original job description

Summary:

Meta is seeking an AI/ML Engineer to design, build, and deploy machine learning systems that power some of the world's most widely used products and platforms. In this role, you will develop and optimize AI models and pipelines at scale, applying techniques across deep learning, large language models, recommendation systems, and generative AI to solve high-impact problems across Meta's product ecosystem. You will work at the intersection of applied research and production engineering, translating cutting-edge AI advances into reliable, scalable systems that serve billions of users.

Required Skills:

Software Engineer, AI/ML Responsibilities:

Design, develop, and deploy large-scale machine learning models and AI pipelines across Meta's product surfaces, including ranking, recommendation, and generative AI systems
Own the end-to-end technical design of AI/ML systems, evaluating architectural trade-offs and selecting appropriate modeling approaches, training strategies, and inference frameworks
Instrument and profile ML training and serving pipelines to identify performance bottlenecks, reduce latency, and optimize compute efficiency at scale
Establish and maintain model evaluation frameworks, including offline metrics, online experimentation, and monitoring to ensure production model quality and reliability
Collaborate with product managers, data scientists, and research scientists to translate product requirements into ML problem formulations and deliver measurable improvements to key metrics
Contribute to the team's AI tooling and infrastructure by building reusable components, improving developer workflows, and driving adoption of best practices in model development and deployment
Apply privacy-by-design principles and integrity safeguards throughout the ML development lifecycle, partnering with cross-functional teams to meet data governance and compliance requirements
Mentor other engineers on ML system design, modeling techniques, and engineering craft, and actively contribute to recruiting and technical community programs
Use AI-augmented development workflows to expand scope across data analysis, product thinking, and operational readiness beyond core modeling work
Drive staged rollouts of new models using feature flagging and A/B testing frameworks, proactively monitoring for regressions and leading incident retrospectives to prevent recurrence

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6+ years of experience designing, training, and deploying machine learning or deep learning models in production environments
6+ years of experience with ML frameworks such as PyTorch or TensorFlow, and proficiency in Python for model development and data processing
Experience with large-scale distributed training, model optimization techniques (e.g., quantization, distillation, pruning), and ML serving infrastructure
Experience designing and running online experiments (A/B testing) to evaluate model impact on product metrics
Experience communicating technical decisions and trade-offs in writing to both technical and non-technical stakeholders, including design documents and postmortems

Preferred Qualifications:

Track record of driving cross-team technical initiatives that improved ML platform capabilities or established new modeling standards across an organization
Experience with large language models, generative AI systems, or foundation model fine-tuning and alignment techniques
Experience building recommendation or ranking systems at internet scale, including feature engineering, retrieval, and scoring pipelines
Experience developing ML observability tooling, including dashboards, alerting, and automated anomaly detection for production model health

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
Research
Machine learning
Product comprehension
Recruitment
Data analysis
Computer science
Computer engineering
Deep learning
PyTorch
TensorFlow
Python
Process data

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