Staff Machine Learning Engineer - Rider Intelligence

Uber; Seattle (WA); Presencial; USD 232 000 - 258 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Bonus program

Equity award

401(k) plan

Benefits

Resumo da oferta

Uber is seeking a Staff Machine Learning Engineer for the Rider Intelligence team to shape technical direction and lead the design of ML solutions across homepage personalization, recommendations, and intent understanding. You will collaborate with product teams to deliver personalized experiences and mentor engineers, driving technical excellence across multiple Uber business lines.

The role emphasizes real-time sequential recommendations, transformer-based models, and agentic AI approaches,

Qualificações

• Advanced ML expertise including ranking, sequential modeling, and transformers.
• Strong Python3 programming with hands-on ML framework experience.
• Proven track record leading complex ML initiatives and driving business impact.

Responsabilidades

• Shape technical and scientific direction for homepage personalization and recommendations.
• Lead development of sequential models, intent-aware ranking, and LLM-based solutions.
• Partner with product teams to deliver personalized experiences and measurable engagement gains.
• Mentor engineers and raise the team's technical excellence.

Conhecimentos

Machine learning

Deep learning

Recommendation systems

Python

Formação académica

Master's or PhD in Computer Science / ML

Ferramentas

PyTorch

TensorFlow

Descrição da oferta de emprego

About the role and team

The Rider Intelligence team powers personalization across Uber’s app homepage, helping users discover and access the most relevant services at the right time. Our work spans ranking homepage components, predicting and suggesting users’ next destinations, understanding user intent to deliver tailored experiences, presenting promotions at the right time, and optimizing the overall homepage experience across multiple business lines, including Rides, Eats, Grocery, and more.

As a Staff Machine Learning Engineer, you will shape the technical and scientific direction across these problem domains and lead the design and development of ML solutions, such as real-time sequential recommendation models, intent-aware ranking, and LLM-based and agentic solutions that go beyond traditional retrieval and ranking approaches. You will partner closely with product teams to deliver personalized user experiences, drive technical strategy across teams, and mentor engineers at various levels to elevate the team's technical excellence.

What You’ll Do

• Drive ML technical strategy: Shape the technical and scientific direction of homepage personalization and recommendation systems.
• Build advanced ML solutions: Lead the development of sequential recommendation models, intent-aware ranking, and LLM-based and agentic solutions.
• Deliver product impact: Partner with cross-functional teams to improve user experience, engagement, and business outcomes across Uber’s business lines.
• Provide technical leadership: Drive engineering excellence, influence technical decisions across teams, and mentor ML engineers.

Basic Qualifications

• Deep expertise in machine learning, deep learning, and recommendation systems, including ranking, sequential modeling, and transformer architectures.
• Strong programming skills in Python3 with hands‑on experience using ML frameworks such as PyTorch or TensorFlow.
• Proven track record of leading complex ML initiatives, driving measurable business impact, and influencing technical direction across teams.

Preferred Qualifications

• 8+ years of industry experience designing, developing, and deploying machine learning models in large-scale production environments.
• Master's or PhD degree in Computer Science, Machine Learning, or a related field.
• Experience with advanced recommendation architectures, such as transformer-based sequential modeling, generative recommendation, and foundation models for personalization.
• Experience applying LLMs and agentic AI to personalization, recommendation, or user intent understanding.
• Experience optimizing multi-objective ranking systems across engagement, conversion, revenue, and long-term user value.
• Demonstrated research contributions through publications at top-tier ML conferences, patents, or successful application of novel ML techniques in production.

For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 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.