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Added 1 min ago
Optical Sensing Intern - Robot Perception
Rhoda AI
Mountain View,, CA
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and…
Added 3 mins ago
Senior Software Developer, AI Networking
NVIDIA USA
Remote, United States
…working with the latest NVIDIA hardware and technologies. We do full stack benchmarking for Data Center scale systems for AI training/inference and lower level benchmarks. We strive for…
Added 4 mins ago
Senior/Lead VLS Engineer - Global Circuits
SambaNova
San Jose, CA
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU…
Added 8 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 11 mins ago
U
Software Engineer II - Engineer
Uber
San Francisco, CA · Sunnyvale, CA
- $171,000 to $190,000 USD / year
…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…
Added 14 mins ago
AI & HPC Infrastructure Engineer
Accenture
Saint Louis, MO
…efficiency, governance, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire…
Added 24 mins ago
Senior AI Engineer
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Own full lifecycle delivery - design, development, testing, deployment, monitoring, and maintenance.
Added 30 mins ago
Full-stack Engineer 4
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…real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies.…
Added 30 mins ago
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Capital One
San Jose, CA · McLean, VA · Cambridge, MA · NY
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 30 mins ago
Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)
Capital One
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 31 mins ago
Sr. Software Engineer
The Home Depot
Remote, United States
Building and operating full-stack observability platforms integrating Prometheus, Grafana, Datadog, New Relic, and Stackdriver, with custom telemetry pipelines, and intelligent alerting to…
Added 32 mins ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
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…most have deep expertise in specific areas of the technology stack (front end, back end, data, security etc.), all are comfortable swimming across lanes. This is really important in…
Added 32 mins ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Kansas City, MO
…most have deep expertise in specific areas of the technology stack (front end, back end, data, security etc.), all are comfortable swimming across lanes. This is really important in…
Added 32 mins ago
AI & Distributed Systems Fullstack Engineer - Senior - Consulting - Location OPEN
EY
Jefferson City, MO
…most have deep expertise in specific areas of the technology stack (front end, back end, data, security etc.), all are comfortable swimming across lanes. This is really important in…
Added 41 mins ago
IC
Cloud Software Development Engineer
Intel Corporation
OR
- $111,030 to $156,740 USD / year
…focus on understanding partner software stacks and enabling full-stack optimization, ensuring seamless integration of Intel hardware features. In this role, you will directly contribute to…
Added 46 mins ago
Senior Forward Deployed Engineer
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CA · GA
You’ll work with the full Workday Developer Platform stack. You’ll run custom agents on the Workday Agent Harness, the same agent runtime and infrastructure Workday uses internally. You’ll…
Added 46 mins ago
Forward Deployed Engineer
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You’ll work with the full Workday Developer Platform stack. You’ll run custom agents on the Workday Agent Harness, the same agent runtime and infrastructure Workday uses internally. You’ll…
Added 46 mins ago
Principal Forward Deployed Engineer
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CA · GA
You’ll work with the full Workday Developer Platform stack. You’ll run custom agents on the Workday Agent Harness, the same agent runtime and infrastructure Workday uses internally, and…
Added 48 mins ago
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SailPoint Practice Architect II-IAM (Fulltime Remote)
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Dallas, TX
- $148,200 to $222,400 USD / year
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Strong understanding of IAM integrations, APIs, and automation (PowerShell, Python, Infrastructure as Code concepts)
Added 51 mins ago
Sr. Agentic Operations & Observability Consultant - Automation
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…brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex…
Added 56 mins ago
Senior Fullstack Engineer, FanX AI
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Adaptability: You have comfort working full stack in Python when needed to get things done. You have some experience with design tools like Figma or Sketch. If you've never worked with any…
Added 56 mins ago
Senior Fullstack Engineer, FanX AI
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Adaptability: You have comfort working full stack in Python when needed to get things done. You have some experience with design tools like Figma or Sketch. If you've never worked with any…
Added 57 mins ago
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Senior Salesforce Administrator (GTM)
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Remote, United States
- $140,000 to $180,000 USD / year
…and improve, and you’ll have a say in how the entire GTM tech stack comes together. The changes you make will improve our end-to-end sales process: from how quickly quotes become bookings…
Added 57 mins ago
Full-Stack AI Engineer (AI Service Engines & Integration)
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+ Strong Python; experience with at least one other modern language (TypeScript, C#, Java, or Go).
Added 57 mins ago
Growth Engineer
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San Francisco, CA
- 3+ years of full-stack engineering experience, ideally including time on a growth, monetization, or activation team at a fast-growing consumer or prosumer product

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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