Jobs in the United States

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Added 1 min ago
Software Engineer I
American Express
Sunrise, FL
Integrate LLM APIs and develop effective prompt engineering strategies.
Added 1 min ago
Senior Manager - Technology Operations Engineering
American Express
Phoenix, AZ
…and monitoring for conversational AI, intelligent voice bots, LLM-based applications, Agentic AI frameworks, AI agents, and Model Context Protocol (MCP) servers, ensuring AI workflow…
Added 2 mins ago
Software Engineering Manager, AI Platform Engineering
SoFi
Seattle, WA
Partner with stakeholders: Work directly with internal developer customers and cross-functional engineering teams to distill complex requirements, obtain buy-in, and drive platform adoption.
Added 4 mins ago
Fellow Software Engineer-Eng (Agentic AI Architecture & Engineering)
UKG
Jefferson City, MO
- LLM-powered agents and tool-use architectures
Added 8 mins ago
Director - Customer Response Engineering
Musarubra US, LLC
Remote, United States
Practical use of AI or LLM tools in debugging, triage, or engineering workflows.
Added 9 mins ago
Staff Software Engineer, Chainguard Harness
Chainguard
Remote, United States
Experience evaluating LLM output quality and managing model cost at scale
Added 11 mins ago
Lead Architect , AI Solutions Architecture - Claim
Travelers Insurance Company
Jefferson City, MO
- Align AI platform capabilities to the strategic needs of business groups - spanning LLM selection and routing, RAG pipelines, memory systems, and tool/function-calling patterns - while…
Added 11 mins ago
Senior Architect, AI Solutions Architecture - ETS
Travelers Insurance Company
Jefferson City, MO
- Translate business requirements into practical AI platform designs - spanning LLM integration, RAG pipelines, memory systems, and tool/function-calling patterns - with a focus on…
Added 11 mins ago
Software Engineer, AI Systems
Miles Ahead Management LLC
Jacksonville, FL
…can design, build, and evaluate AI-based systems, including LLM integrations, agent workflows, retrieval and data pipelines, and the guardrails that keep them reliable. You're…
Added 16 mins ago
Principal AI Security Architect (Prisma AIRS) - NAM
Experis USA
Kansas City, MO
Experience securing AI/LLM environments in AWS, Azure, or GCP.
Added 16 mins ago
EU
Platform Engineering Technology Leader
Experis USA
NY
- $50 to $55 USD / hour
Preferred exposure to AI / GenAI (OpenAI, Copilot, LLM-powered solutions) and SRE / observability practices.
Added 16 mins ago
ConvergeProsperity - Product Forward Deployed Engineer, Insurance Growth Suite (Manager) - Products & Platforms
Deloitte
Saint Louis, MO
+ Practical understanding of LLM integration patterns, prompt engineering, and AI-powered application design
Added 16 mins ago
ConvergeProsperity - Product Forward Deployed Engineer, Insurance Growth Suite (Manager) - Products & Platforms
Deloitte
Kansas City, MO
+ Practical understanding of LLM integration patterns, prompt engineering, and AI-powered application design
Added 16 mins ago
O
Senior Software Developer - Healthcare Analytics & AI
Oracle
Jefferson City, MO
- $89,200 to $209,500 USD / year
- Contribute to LLM/agent-based features and analytics use cases.
Added 20 mins ago
Full Stack Cloud Developer
St. George Tanaq Corporation
Jefferson City, MO
We are seeking a Full Stack Cloud Developer to support the Department of Housing and Urban Development's Office of the Chief Information Officer (HUD OCIO).
Added 23 mins ago
DF
Senior Marketing & Insights Analyst
Dickinson Financial Corporation
Kansas City, MO
- $75,000 to $80,000 USD / year
+ Measure organic rankings, zero-click visibility, and AI citation share; use LLM-driven testing to iterate copy, prompts, and content variants.
Added 23 mins ago
U
Software Engineer II - Engineer
Uber
San Francisco, CA · Sunnyvale, CA
- $171,000 to $190,000 USD / year
Bring SOTA ML techniques from DLRM and LLM literature (Scaling Laws, Kernel Fusion, Latent Attention, Agentic Auto-Research, RL-based post-ranking, etc.) into our modeling stack.
Added 25 mins ago
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Deloitte
Saint Louis, MO
…generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production…
Added 25 mins ago
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Deloitte
Kansas City, MO
…generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production…
Added 25 mins ago
Knowledge Engineer / Semantic Expert for AI
Accenture LLP Company
NY
You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying…
Added 28 mins ago
C
Entry-Level Engineer - Python, Data Analytics & Generative AI Life Sciences Commercial
Cognizant
Jefferson City, MO
- $65,000 USD / year
+ Assist in the development and experimentation of Generative AI solutions (e.g., LLM-based applications, prompt engineering, embeddings)
Added 31 mins ago
L
Security Engineer, Vulnerability Management
LiveKit
Remote, United States
- $200,000 to $300,000 USD / year
- Experience in AI security, such as securing LLM applications or agent infrastructure.
Added 42 mins ago
AI Engineer 4 (AI Safety and Multimodal)
Capital One
San Jose, CA · McLean, VA · Cambridge, MA · NY
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Added 42 mins ago
Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)
Capital One
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Added 49 mins ago
Consultant – Compliance Data Science & AI
Sia
Charlotte, NC
Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral.

Uber

Software Engineer II - Engineer

San Francisco, CA, United States
Sunnyvale, CA, United States

$171,000 to $190,000 USD / year

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Job details

Pay: $171,000 to $190,000 USD / year
Apply by: Nov 13, 2026
Experience: Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 3+ years of full-time experience working on production ML systems.
Posting language: English
Posted: Nov 5, 2026

Original job description

About the Role

The UberEats Feed Ranking team is responsible for the ML ranking layer which personalizes the Eats Homefeed. This personalization layer is one of the main drivers of order growth across the Delivery organization. As a Machine Learning Engineer (MLE) on the Feed Ranking team, you will own and develop models across our entire ranking stack (Retrieval + Pre-Ranking, Second Pass Ranking, Post-Ranking). Our models are sophisticated (>5B parameters), our features are rich (near-realtime engagement history with 1-year lookback), and our serving requirements are stringent (>10M QPS with low latency and high availability). As an MLE, the reward for working within these requirements is significant - offline performance gains in our ranking models are strongly correlated with topline impact for the entire Eats business.

What You’ll Do

Own and develop on all parts of the ML lifecycle - both offline (training, model architecture, etc.) and online (serving efficiency, GPU provisioning + utilization, etc.).
Bring SOTA ML techniques from DLRM and LLM literature (Scaling Laws, Kernel Fusion, Latent Attention, Agentic Auto-Research, RL-based post-ranking, etc.) into our modeling stack.
Collaborate closely with backend engineers to ensure high-quality and reliability in end-to-end integration.
Coordinate with Science and Product partners to maximize the business impact of ML improvements.

Basic Qualifications

Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 3+ years of full-time experience working on production ML systems.
Strong proficiency in at least one programming language such as Python, Go, or Java.
Strong proficiency with common Deep-Learning frameworks (PyTorch, Tensorflow/Keras, Jax, etc.).
Experience with distributed data processing and ETL frameworks (Spark, Ray Data, etc.).
Strong technical communication and ability to manage multiple cross functional stakeholders.

Preferred Qualifications

Master's or PhD in Computer Science, Engineering, Mathematics or related field, with publications in the ML/AI space (papers, conference presentations, company technical blogs, etc.).
Industry experience working on Deep Learning Recommendation Systems and/or LLM model development at scale in a production/user-facing environment.
Experience optimizing Deep Learning model architectures + serving stack to improve GPU MFU across different hardware types.
Desire to grow into technical leadership and become a force multiplier for junior engineers.

For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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More about this job

Skills

ML
Develop models
Research
Computer science
Python
Go
Oracle Java
Deep learning
PyTorch
TensorFlow
Keras
Process data
Data engineering
Apache Spark
Communication skills
Presentation skills
Leadership
Collaboration

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