3,564 jobs for "AI Intern"

AIML - Machine Learning Research Lead, RL Agents, MLR

At Apple - Cupertino

Posted on Oct 9

View job Apply on company site

Creative Product Operations Intern (International Advertising - Creative and Brand Innovation) - 2027 Summer - Intern (Global Monetization Product and Technology) - 2027 Start

At TikTok - San Jose

Posted on Oct 9

View job Apply on company site

EMEA Talent Acquisition Intern (Talent Acquisition) - 2027 Start

At TikTok - London

Posted on Oct 9

View job Apply on company site

Creative Product Manager Intern (International Advertising - Creative and Brand Innovation) - 2027 Summer - Intern (Global Monetization Product and Technology) - 2027 Start

At TikTok - San Jose

Posted on Oct 9

View job Apply on company site

TikTok Shop - Service Delivery Program Manager

At TikTok - Kuala Lumpur

Posted on Oct 9

View job Apply on company site

Security Engineer, Detection & Response - Global Security Organization - Threat Management Incident Response and Investigation

At TikTok - San Jose

Posted on Oct 9

View job Apply on company site

Industry Principal- Appian Architect

At Infosys - Sydney

Posted on Oct 9

View job Apply on company site

Anti-Bribery & Anti-Fraud Program Leader

At Cargill - Wayzata

Posted on Oct 9

View job Apply on company site

Global Product Support (GPS) Engineer

At Applied Materials - Santa Clara

Posted on Oct 9

View job Apply on company site

Supplier Account Technologist

At Applied Materials - Santa Clara

Posted on Oct 9

View job Apply on company site

Technical Project/Program Manager II

At Applied Materials - Austin

Posted on Oct 9

View job Apply on company site

Advanced Analytics (AA&I) and Innovation, Associate, Technical Specialist

At Morgan Stanley - Bengaluru

Posted on Oct 9

View job Apply on company site

Sr. Analyst, Product and Pricing Operations

At Salesforce - Toronto

Posted on Oct 9

View job Apply on company site

Partner Operations Associate Analyst

At Salesforce

Posted on Oct 9

View job Apply on company site

Senior Product Manager, Salesforce Platform

At Salesforce - San Francisco · New York

Posted on Oct 9

View job Apply on company site

Manager, Technical Consulting

At Salesforce - Bangalore

Posted on Oct 9

View job Apply on company site

Enterprise Account Executive - Germany - Healthcare & Life Sciences

At Salesforce - Frankfurt · Berlin

Posted on Oct 9

View job Apply on company site

Sr. Data Scientist

At Visa - Bengaluru

Posted on Oct 9

View job Apply on company site

Senior Manager, Full-stack Engineer-People Leader-EDT

At Capital One - McLean · Richmond

Posted on Oct 9

View job Apply on company site

Sr. Professional Services Engineer

At Palo Alto Networks - Bengaluru

Posted on Oct 8

View job Apply on company site

Apple

AIML - Machine Learning Research Lead, RL Agents, MLR

Cupertino, CA$216,200 – $394,000Posted Oct 9, 2026

Apply on company site View full job

We are looking for a hands-on research lead to drive our work on reinforcement learning and post-training for agentic AI, and to manage a small team of senior researchers working on related problems in RL, agentic tool-calling, synthetic environment generation, model scaling, and multimodal action models. You will help set direction for how we develop infrastructure, training, runtime and evaluation procedures for interactive agents - tool calling, coding, computer use, and long-horizon tasks.

This role sits inside a research organization pursuing first-principles approaches to core AI problems: generative foundation models across modalities (text, images, graphs, scientific and engineering data), vision-language modeling and implicit world modeling, self-supervised learning, and search and evolutionary methods for optimizing both agents and the environments they learn in. A distinctive part of our agenda is designing methods that fit Apple's deployment reality - on-device and hybrid (device plus private cloud) execution, co-designed with current and future hardware - and that take advantage of what this ecosystem uniquely enables, such as deeply personalized, long-context agentic experiences. We aim for both field-changing research and direct impact on Apple products and internal engineering processes.

MLR is a research group first. Management here is about spreading the load of running a team, not stepping away from the work - everyone, including leads, stays hands-on. We support continued engagement with the academic community: publishing, conference service, student collaboration, and internships.

Description

* Lead research on RL and post-training for agentic capabilities: reward, preference optimization, and verifier design, training recipes, and evaluation for tool calling, coding, and multi-step interactive tasks.

* Build and own synthetic data and task-generation pipelines - generating diverse, verifiable tasks and environments, along with the interactive environments and benchmarks that go with them, and the curricula that turn them into capable agents.

* Drive codebases and infrastructure for the core RL research effort and help engage partner teams to use and co-develop the framework.

* Manage and mentor a small team (3-4) of senior researchers and research engineers with distinct specialties, shaping a shared research direction while protecting room for bottom-up, idea-driven work.

* Stay hands-on: run experiments, write code, and contribute directly to the team's most important technical problems.

* Connect post-training research to efficiency and deployment: what works under on-device and hybrid compute constraints, and how method design interacts with hardware.

* Collaborate across the organization on adjacent directions, including methods for environment and agent co-optimization, self-improvement, world models used as planners or policies, and personalized long-context agents.

* Publish in top venues and engage with the broader research community.

Preferred Qualifications

Experience taking research from idea to product or production impact

Familiarity with efficiency-aware modeling: small models, mixture-of-experts, quantization, distillation, inference-cost constraints, or hardware-aware method design

Interest or background in open-endedness, evolutionary computation, curriculum or environment design, multi-agent systems, or self-improving systems

Principled or theoretical grounding in RL - representation, exploration, or optimization views of policy learning - alongside strong empirical work

Breadth across core machine learning - generative models, self-supervised learning, pre-training - and perspective on the field's longer arcs, not only its most recent methods

Experience growing other researchers, and managing researchers and engineers with heterogeneous specialties and synthesizing their work toward a common goal

Experience owning a large RL or post-training codebase

Minimum Qualifications

PhD in machine learning or a related field, or equivalent research experience

7-10+ years of research experience beyond PhD in industry or as an academic research lead

Strong track record in RL and/or post-training of large models, demonstrated through publications, open-source contributions, or shipped systems

Leadership experience: setting and defending a research direction over multiple years, and directing others' work - through direct reports, PhD students, postdocs, or sustained project teams. Formal management experience is welcome but not required

Experience owning ML infrastructure, frameworks and codebases, including open-source research frameworks or environment suites others build on

Strong engineering skills; comfortable working hands-on in large training codebases

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $216,200 and $394,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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