Jobs in the United States

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Added 4 mins ago
Software Engineer, Machine Learning RecSys
Meta
Augusta, ME
Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
Added 4 mins ago
Director - Customer Response Engineering
Trellix
Augusta, ME
Practical use of AI or LLM tools in debugging, triage, or engineering workflows.
Added 4 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Augusta, ME
…environments, organizations, gateways, management console, developer portal, users, groups, and role-based…
Added 9 mins ago
Software Engineer, Machine Learning RecSys
Meta
Helena, MT
Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
Added 9 mins ago
Director - Customer Response Engineering
Trellix
Helena, MT
Practical use of AI or LLM tools in debugging, triage, or engineering workflows.
Added 10 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Helena, MT
…environments, organizations, gateways, management console, developer portal, users, groups, and role-based…
Added 31 mins ago
AI Engineer ||
Mastercard
O'Fallon, MO
…strong foundation in AI/ML concepts, with hands-on expertise in LLM systems, data preparation, and context design (including chunking) to build scalable, high-quality AI…
Added 36 mins ago
AE
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
Support the development and integration of AI/ML models, LLM integrations, or intelligent services into controlled or production-like systems under guidance.
Added 43 mins ago
Senior Full Stack Engineer
Foresight Works Ltd
NY · New York, NY
You've shipped LLM features to production: retrieval over customer data, embeddings (pgvector or a search engine), evaluation, and keeping cost in check.
Added 43 mins ago
Senior Full Stack Engineer
Foresight Works Ltd
San Francisco, CA
You've shipped LLM features to production: retrieval over customer data, embeddings (pgvector or a search engine), evaluation, and keeping cost in check.
Added 43 mins ago
Software Engineer (AI Agents)
Fluent, LLC
NY · New York, NY
You are a builder who ships. You are strong in Python and SQL, you have put at least one LLM-powered application in front of real users, and you know the difference between a demo and a…
Added 43 mins ago
Applied AI Engineer
Foresight Works Ltd
NY · New York, NY
Have 1+ years of experience building and shipping VLM/LLM based features to production.
Added 43 mins ago
Applied AI Engineer
Foresight Works Ltd
San Francisco, CA
Have 1+ years of experience building and shipping VLM/LLM based features to production.
Added 1 hour ago
Associate Full Stack Developer
Intercontinental Exchange (ICE)
Jacksonville, FL
We are seeking a Full Stack Developer I to join our innovative development team. In this role, you will contribute to building and modernizing the applications at the core of our mortgage…
Added 1 hour ago
TT
Mid/Senior Full Stack AI Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $250,000 USD / year
- Production experience building and orchestrating LLM agents, including use of an agent framework such as LangGraph, Mastra, or an agent SDK.
Added 1 hour ago
EG
Senior AI Engineer
Eliassen Group
Aberdeen Proving Ground, MD
- $80 to $90 USD / hour
Knowledge of LLM prompt engineering, model tuning, secure RAG, vector databases, and retrieval systems preferred.
Added 2 hours ago
Chief Engineer (Staff Engineer)
Morgan Pinnacle Group
San Francisco · San Francisco, CA
Experience working with conversational AI, LLM agents, or agentic AI systems.
Added 2 hours ago
Senior Machine Learning Engineer III ***Raleigh, NC***
RELX INC
Raleigh, NC
…system architecture, infrastructure, and productionization of ML/LLM…
Added 2 hours ago
Geospatial and Digital Innovation Development Leader
True Environmental
Remote, United States
Evaluate and pilot emerging capabilities, including GeoAI and LLM-assisted data compilation and metadata generation, automated defect and change detection from imagery and point clouds,…
Added 2 hours ago
Staff Software Architect
CVS Health
Concord, NH
…cost-optimized platforms supporting clinical AI/ML workloads - including LLM inference pipelines, document processing at scale, and real-time clinical data…
Added 3 hours ago
Java Full Stack Developer (Senior/Lead)
Cognizant
Plano, TX
As a Java Full Stack Developer (Senior/Lead), you will make an impact by designing, building, and scaling API-first, cloud-native applications and integrations using modern Java, AWS,…
Added 3 hours ago
G
Forward Deployment Agentic Engineer
Guidehouse
SAN ANTONIO, TX · HOUSTON, TX
- $70,000 to $116,000 USD / year
TWO (2) years of recent, hands-on experience building GenAI, LLM, or agentic solutions
Added 3 hours ago
TT
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $230,000 to $300,000 USD / year
- Design platform capabilities such as workspaces, permissions, billing, usage, SDKs, and terminal-first developer workflows.
Added 3 hours ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
…as model training and evaluation, text-analysis pipelines, LLM fine-tuning, retrieval-augmented generation (RAG) systems, AI agents, and AI opportunity and governance…
Added 4 hours ago
Senior Machine Learning Data Pipeline Engineer
NVIDIA USA
CA
Solid understanding of deep learning, embeddings, and LLM/VLM inference, including how training datasets are prepared and consumed by DNN teams.

Closed listing

Software Engineer, Machine Learning RecSys

Des Moines, IA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Sep 23, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply.

Required Skills:

Software Engineer, Machine Learning RecSys Responsibilities:

Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:

3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD
2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field
Experience with scripting languages such as Python, Javascript or Hack
Experience with developing machine learning models at scale from inception to business impact
Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
Experience building and shipping high quality work and achieving high reliability
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with scripting languages such as Pytorch and TensorFlow
Exposure to architectural patterns of large scale software applications
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
Master's degree or PhD in Computer Science or another ML-related field

Public Compensation:

$183,997/year to $257,000/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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