282 jobs for "Applied Research Engineer"

AIML - Applied ML Engineer, Responsible AI

At Apple

Posted on Oct 19

View job Apply on company site

Senior Manager, AI/ML Applied Research

At Vanguard - Malvern

Posted on Oct 27

View job Apply on company site

Applied Researcher 5 (AI Foundations: Evaluation and Agentic Workflows)

At Capital One - McLean · Cambridge

Posted on Nov 8

View job Apply on company site

Analytics Specialist, Associate, Portfolio Analytics Group (PAG)

At BlackRock - New York

Posted on Nov 7

View job Apply on company site

2027 Summer Intern - Research and Development - Vehicle Aerodynamics and Machine Learning

At General Motors - Warren

Posted on Oct 30

View job Apply on company site

GE Vernova Battery Engineering & Technology Intern - Summer 2027

At GE Vernova - Niskayuna

Posted on Oct 27

View job Apply on company site

AI Engineer 4 (Gen AI Platform Services)

At Capital One - San Francisco · McLean

Posted on Nov 8

View job Apply on company site

Lead Application Engineer - Romax

At Cadence - Shanghai

Posted on Oct 16

View job Apply on company site

Manager, AI Research

At Vanguard - Toronto

Posted on Oct 22

View job Apply on company site

UX Researcher - Global Monetization Product and Technology

At TikTok - Seattle

Posted on Oct 14

View job Apply on company site

Postdoctoral Appointee - Experimental Thermal Sciences & Engine Combustion, Hybrid

At Sandia National Laboratories

Posted on Nov 5

View job Apply on company site

Laboratory Technician

At Leidos - Aberdeen

Posted on Oct 24

View job Apply on company site

Machine Learning Engineer II

At TD Bank - Toronto

Posted on Oct 30

View job Apply on company site

Lead AI Engineer for Sales Assistant Platform Technology - Lead Software Engineer

At JPMorgan Chase - Jersey City

Posted on Oct 30

View job Apply on company site

Machine Learning Engineer with Focus on Generative 3D Representations - Europe Vision Group

At Apple

Posted on Oct 19

View job Apply on company site

Sr MTS Electrical Engineer

At Applied Materials - Santa Clara

Posted on Nov 7

View job Apply on company site

Associate, AI Data Scientist- Private Markets

At BlackRock - Bengaluru

Posted on Nov 4

View job Apply on company site

Director, Footwear Research, Nike Sport Research Lab - Innovation

At NIKE, Inc. - Beaverton

Posted on Oct 20

View job Apply on company site

Internship- Imaging product engineer

At ASML - San Jose

Posted on Oct 28

View job Apply on company site

Senior Applied Machine Learning Scientist (predictive analytics)

At TD Bank - Toronto

Posted on Oct 14

View job Apply on company site

Apple

AIML - Applied ML Engineer, Responsible AI

SpainPosted 20 days ago

Apply on company site View full job

Join a team at the forefront of defending Apple's ecosystem. Our Data and ML Innovation team builds the large-scale machine learning systems that protect millions of users from emerging threats and ensure the integrity of our products.

We are looking for an experienced Applied ML Engineer who has a proven track record of shipping production models. The ideal candidate is passionate about tackling complex safety and security challenges using state-of-the-art techniques. In this role, you will design, build, and deploy the critical machine learning systems that are foundational to the safety of Apple's products, all while upholding our deep commitment to user privacy.

Description
As engineer on this team, you will own the full lifecycle of our abuse detection machine learning models. You will collaborate closely with researchers to understand the threat landscape and partner with software and product teams to deploy robust, scalable defenses. We believe the most effective security systems are built by engineers who can translate adversarial insights into production-ready code. Your work will directly contribute to the architecture of Apple's AI platform and protect users from real-world harm. Here is what you will do:","responsibilities":"Design, build, and deploy production-grade ML models to detect and mitigate abuse across multiple modalities (text, image, audio).
Own the full ML lifecycle: from prototyping and data analysis to deployment, monitoring, and the continuous improvement of models in production.
Drive the data strategy to continuously improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems.
Architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering automated enforcement actions in real-time.
Collaborate with cross-functional partners in engineering, research, and product to define project requirements, establish technical direction, and deliver robust security solutions.

Preferred Qualifications
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Hands-on experience with fine-tuning or aligning large language models for security or safety applications.
Experience building large-scale data processing pipelines and ML infrastructure.
Experience driving technical projects and collaborating with large, diverse, cross-functional teams.

Minimum Qualifications
Proven experience shipping machine learning models to production. You have owned the end-to-end lifecycle of a model, from development to deployment and maintenance.
Strong familiarity with research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)
Ability to work with sensitive and offensive content as part of building robust security and abuse detection systems.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

View company profile