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Senior AI/ML Engineer
TEKsystems
New York, NY
- $119,800 to $179,800 USD / year
…We are seeking a highly skilled and motivated Senior AI/ML Engineer with 57 years of experience in data engineering and at least 3 years in AI/ML engineering. The ideal candidate will have…
Added 5 mins ago
Senior Director, Data and AI Engineer
Otsuka America Pharmaceutical Inc.
Jefferson City, MO
…team is a centralized capability and comprises of programmers, full-stack AI and data engineers who work closely with other Data and Analytics, AI Scientists, Data Scientists, various roles…
Added 5 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 10 mins ago
Infrastructure Reliability Engineer
Fidelity Technology Group, LLC
Durham, NC
We are seeking an Infrastructure Reliability Engineer to join our Compute management team. In this role, you will collaborate with senior technology professionals, peers across operations…
Added 11 mins ago
U
Software Engineer II - Engineer
Uber
San Francisco, CA · Sunnyvale, CA
- $171,000 to $190,000 USD / year
…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 +…
Added 15 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 19 mins ago
RH
Software Engineer
Robert Half
Dublin, OH
- $140,000 to $150,000 USD / year
We are looking for a Software Engineer to help strengthen and evolve a mission-critical internal platform in Dublin, Ohio. In this role, you will build and refine full-stack solutions that…
Added 24 mins ago
Senior AI Engineer
Suffolk Construction Company, Inc
Boston, MA
Own full lifecycle delivery - design, development, testing, deployment, monitoring, and maintenance.
Added 30 mins ago
Full-stack Engineer 4
Capital One
Plano, TX
…the entire lifecycle of their auto loan. Leveraging a modern full-stack ecosystem, you will engineer critical infrastructure-from reimagining core payment and ledger systems to developing…
Added 30 mins ago
AI Engineer 4 (AI Safety and Multimodal)
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
EY
Saint Louis, 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
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 38 mins ago
C
Product Engineer, Foundations Team
Coast
NY
- $160,000 to $215,000 USD / year
…job will get visibility not just across engineering, but the full business, including our risk and underwriting team as well as finance, product, and design. We’ve embraced AI as an…
Added 39 mins ago
Founders' Office - Special Projects (Technical)
BackOps
United States
Are a strong full-stack engineer who has shipped production software solo, quickly, and at a high quality bar.
Added 42 mins ago
IC
Cloud Software Development Engineer
Intel Corporation
OR
- $111,030 to $156,740 USD / year
As a Cloud Software Development Engineer, you will play a pivotal role in designing, developing, and optimizing cutting-edge software solutions tailored for cloud, hybrid-cloud, and…
Added 45 mins ago
AI Portfolio Solution Architect (Sr Stf)
Lockheed Martin
Virtual Three, TX
…and agentic capabilities. You will define architecture, guide full-stack delivery, establish reusable engineering patterns, and ensure solutions are measurable, trustworthy, compliant with…
Added 46 mins ago
AI Systems Engineer - DevOps& Observability Manager
EY
Kansas City, MO
+ Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and…
Added 46 mins ago
AI Systems Engineer - DevOps& Observability - Senior
EY
Jefferson City, MO
+ Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and…
Added 46 mins ago
AI Systems Engineer - DevOps& Observability Manager
EY
Jefferson City, MO
+ Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and…
Added 46 mins ago
AI Systems Engineer - DevOps& Observability - Senior
EY
Saint Louis, MO
+ Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and…
Added 46 mins ago
AI Systems Engineer - DevOps& Observability Manager
EY
Saint Louis, MO
+ Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and…
Added 46 mins ago
AI Systems Engineer - DevOps& Observability - Senior
EY
Kansas City, MO
+ Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and…

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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