133 jobs for "Machine Learning Engineer, AI Agent"

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Lead Applied AI & Machine Learning Engineer

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Senior Software Engineer, Machine Learning & AI

At Apple

Posted on Oct 19

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Senior Machine Learning Engineer

At Atlassian - Remote / Flexible

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Cyber Threat Defense Sr AI/ML Engineer

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AI Lead Solutions Engineer -Forward Deployed

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AI/ML Engineer

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AI/ML Engineer

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Software Engineer - AI

At PNC - Pittsburgh

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Applied AI ML Lead-AI Engineer

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Principal Software Engineer, GenAI Platform

At Roblox - San Mateo

Posted on Oct 28

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Technology Lead

At Infosys - Sao Paulo

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AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety

At Apple - San Francisco Bay Area

Posted on Oct 19

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Machine Learning Engineer - LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling

At Apple - Cupertino

Posted on Oct 15

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Apple

AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety

San Francisco Bay Area, CA$184,700 – $324,800Posted 21 days ago

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Would you like to play a part in protecting Apple Intelligence from real-world misuse before it reaches users? We're looking for a Machine Learning Engineer to join Apple's Responsible AI red-teaming function - a dedicated team focused on actively probing Apple Intelligence features to find real safety vulnerabilities. In this role you'll own a cluster of AI features, invent novel attacks against them, and build the tooling to scale your own techniques.

Description

This role focuses on actively red-teaming Apple Intelligence features - pre-ship and post-ship - to find real, reproducible vulnerabilities. You'll take in signals from feature risk assessments, policy definitions, evaluation results, code changes, and published attack research, and use them to probe for novel failure modes across features and models, including attacks in agentic scenarios.Producing red-teaming findings that meaningfully improve Apple's Responsible AI posture requires validating that an issue is real and reproducible, triaging its severity and reach, and driving it to resolution through the right stakeholders. This role also involves building automated red-teaming tooling - attack generation, batch orchestration, and feedback loops against known issues - to scale beyond manual testing, and partnering with a dedicated crowd and with adjacent security teams to scale efforts as well as share findings and best practices.This role heavily draws on adversarial and creative technical thinking, applied security and linguistic expertise, cross-functional communication, and sustained ownership of a feature area over time. Prior experience in AI red-teaming recommended.","responsibilities":"Own a dedicated cluster of Apple Intelligence features and build sustained expertise in their architecture and failure modesActively probe systems pre-ship and post-ship to find real, reproducible vulnerabilitiesInvent novel attack strategies and keep pace with newly published jailbreak and attack researchValidate and triage findings by severity and reach, and drive them through to mitigationDesign and build automated red-teaming tooling to scale attack generation and testing coverageIdentify gaps in policy and evaluation coverage and feed them back to eval and mitigation teamsPartner with the internal and external crowd and and with adjacent security teams to route findings appropriatelyWork with highly sensitive content, including exposure to offensive and controversial material.

Preferred Qualifications

Experience working in the Responsible AI space.Prior scientific research and publication experience.Strong organizational and operational skills working with large, multi-functional, and diverse teams.Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.

Minimum Qualifications

MS, or PhD in Computer Science, Machine Learning, Statistics, or related fields; or an equivalent qualification acquired through other avenues.Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures.Strong engineering skills and experience in writing production-quality code in Python.Deep experience in foundation model-based AI programming (i.e.: using DSPy for optimizing foundation model prompts, for example) and a drive to innovate in this space.Experience working with noisy, crowd-based data labels and human evaluations.

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 $184,700 and $324,800, 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

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