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Weekend Machine Learning Jobs in Santa Clara, CA

The Drive Machine Learning team builds the prediction and intelligence systems that power this business, including delivery and pickup time estimation, merchant prep-time prediction, order release ...

Machine Learning Engineers

San Jose, CA · On-site

$136K - $280K/yr

Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to ...

Machine Learning Engineer

San Jose, CA · On-site

$188 - $271/hr

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

The Machine Learning Engineer will architect and develop high-performance AI systems, manage large-scale datasets, and translate state-of-the-art research into production-ready code while ...

Spark Tek Inc is seeking a highly skilled Machine Learning Engineer to design and build a low-latency query understanding and intelligent routing system. The role involves working on data modeling ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

Aven is seeking Machine Learning Engineers who are passionate about building product models from idea to delivery. In this role, you will maintain models in production, build infrastructure for ...

Adobe is looking for a Senior Machine Learning Engineer to help shape the future of agentic AI in the enterprise. In this role, you will design, build, and scale cutting-edge platforms and products ...

We are looking for Machine Learning Engineers who have built product models from idea to delivery. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and ...

We're hiring a Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high‑stakes legal work -- from intake ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$196K - $221K/yr

As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative research ...

Showing results 41-60

Weekend Machine Learning information

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Cities near Santa Clara, CA with the most Weekend Machine Learning job openings:

Infographic showing various Weekend Machine Learning job openings in Santa Clara, CA as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer, Drive

Visa Hunt

Sunnyvale, CA • On-site

$150 - $210/hr

Other

Posted 11 days ago


Job description

About the Team

DoorDash Drive powers deliveries placed through merchants' own channels—including their websites, mobile apps, and phone orders—using DoorDash's logistics network. The Drive Machine Learning team builds the prediction and intelligence systems that power this business, including delivery and pickup time estimation, merchant prep-time prediction, order release optimization, logistics decision‑making, and AI‑powered delivery quality signals.

Drive presents a unique machine learning challenge. Every merchant has different operational workflows, preparation patterns, and customer expectations, requiring models that generalize across millions of deliveries while adapting to highly diverse merchant behavior. Our team has significant opportunities to improve prediction accuracy, optimize logistics decisions, and build AI‑native experiences that directly improve merchant, consumer, and dasher outcomes.

About the Role

As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end—from feature engineering and model development to experimentation, deployment, monitoring, and continuous iteration.

Your work will span several high-impact problem areas:

  • Build next-generation machine learning models for delivery ETA, pickup ETA, merchant prep‑time estimation, and order release prediction that improve reliability for merchants and consumers.
  • Develop deep learning models that leverage large‑scale spatiotemporal, marketplace, and behavioral signals to improve prediction accuracy.
  • Apply reinforcement learning and optimization techniques to improve logistics decision‑making, assignment strategies, and marketplace efficiency.
  • Build AI‑native product experiences using large language models (LLMs) and vision‑language models (VLMs). For example, transform pickup photos, item verification flows, receipts,
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