Machine Learning Engineer jobs in Cupertino

TEKsystems c/o Allegis Group

Overview: We are seeking a Machine Learning Engineer to join a high-impact team focused on advancing LLM evaluation, NLP, and AI-driven automation. This role centers on designing scalable evaluation frameworks, optimizing prompt strategies, and building systems that ensure high-quality, consistent m

Apple, Inc.

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions o

Apple

Sr Machine Learning Engineer, Tech Lead — Autograder Systems, Evaluation We are looking for a Senior MLE Tech Lead to join a centralized evaluation organization and define the next generation of autograder quality across 20+ of Apple's most visible generative AI features. You will own the end-to-end

United IT Solutions

Tittle: Senior MLOps Engineer (LLM / Agentic Systems) Location: Cupertino, CA / Austin, TX (Onsite) Role Overview We are seeking a Senior MLOps Engineer to build and scale intelligent, data-driven platforms for next-generation AI systems. This role focuses on developing LLM-powered applications, age

Apple, Inc.

The Motion & Interaction team has created intuitive experiences for our customers through motion sensing. When you simply raise your wrist, shake your head, or move your device to interact, it's the work of engineers and scientists on this team. Our fingerprints can be found across core capabili

Apple, Inc.

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including

Apple, Inc.

Do you want to play a part in the next revolution in Foundation Models? Contribute to model hill climbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done - just by asking

Apple, Inc.

Helping people travel safely is one of our primary functions here on Apple Maps. We are the traffic team at Apple Maps and our main mission is to deliver accurate travel times and incidents for the world in realtime. \\n\\nWe want to make sure that our recommendations are as accurate and responsive

Apple, Inc.

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they cr

HCLTech

HCLTech is looking for a highly talented and self- Senior MLOps Technical Lead to join it in advancing the technological world through innovation and creativity. Job Title: Senior MLOps Technical Lead Job ID: 2820452 Position Type: Full-time Location: US Onsite- Cupertino, CA/ Austin, TX Onsite Mand

Apple

Role Number: 200661334-0836 Summary Apple's Hardware Technologies Formal Verification team is seeking an AI/ML Engineer to work at the intersection of Artificial Intelligence and Formal Verification. In this role, you will explore, prototype, and build AI-powered systems — with a focus on Large Lang

Apple

A leading technology company in Cupertino seeks a Research Scientist in AI to conduct groundbreaking research in deep learning and large language models. The ideal candidate will develop and fine-tune domain-specific LLMs for various NLP tasks and ensure the translation of product requirements into

Apple

Weekly Hours: 40 Role Number: 200657395-0836 Summary As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously improving in production. You will bridge the gap between data science and engineering, driv

Apple

Apple’s products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer’s needs and create personalized experiences by adapting to user behaviors with machine learning running locally

Apple

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine learning solutions from research and experimentation through to robust, production-grade deployment. DES

Apple

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next revoluti

Apple

Role Number: 200618377-0836 Summary Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, producti

Apple

We are looking for a Machine Learning Engineer who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies and resulting data to achieve a given task. This role will be collabora

Apple

Role Number: 200620203-0836 Summary At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple

Apple

Role Number: 200650295-0836 Summary The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers and machine learning engineers passionate about delivering innovative