AIML - Machine Learning Engineer, Evaluation - Responsible AI and Safety

Apple; Cambridge (MA); On-site; USD 166,000 - 292,000; Full time

Benefits offered by this job

Employee stock programs

Relocation assistance

Comprehensive medical & dental

Job summary

Apple in Cambridge, MA is seeking a Senior Machine Learning Engineer to lead Responsible AI Evaluation for next-gen generative features. You will develop measurable safety criteria, design data collection and evaluation datasets, and build robust pipelines for scalable insights.

You will work hands-on across LLMs, diffusion models, and multimodal systems, collaborating with engineering, privacy, and policy teams to ensure safe and inclusive products for users worldwide.

Qualifications

• Develop metrics for evaluating safety and fairness risks inherent to generative models and Gen-AI features.
• Design datasets, identify data needs, and implement creative solutions to scale and expand data coverage through human and synthetic generation methods.
• Develop sampling strategies and combine human annotation with auto‑grading to deliver high-quality, high‑confidence insights at a fast pace and large scale.
• Design, implement, and optimize data pipelines, collaborating cross‑functionally to execute end‑to‑end safety evaluations.
• Drive operational excellence by automating manual workflows and optimizing evaluation velocity to meet rapid product release cycles.
• Distill complex project findings into actionable insights for product engineering teams and safety policy development.
• Work with highly‑sensitive content, including exposure to offensive and controversial material.

Responsibilities

• Lead end-to-end safety evaluations for global generative AI features.
• Develop and operationalize policy risk assessments into measurable criteria.
• Collaborate with cross-functional teams to drive safety improvements across products.
• Analyze evaluation results, conduct failure investigations, and iterate with human feedback to improve safety metrics.

Skills

Safety metrics design

Data pipeline development

Human-in-the-loop methods

Sampling strategies

Cross-functional collaboration

Handling sensitive content

Job description

AIML - Machine Learning Engineer, Evaluation - Responsible AI and Safety

Cambridge, Massachusetts, United States Machine Learning and AI

Join Us in Shaping the Future of Generative AI at Apple!Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an experienced Senior Machine Learning Engineer to help shape the future of responsible AI evaluation for the next generation of generative features.In this role, you will work to assess, quantify, and improve the safety and inclusivity of Apple’s Generative-AI powered features and products. Your work will tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. You will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models, while upholding Apple's values, privacy, and quality standards.As part of Apple’s Responsible AI group within the Software Engineering organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. You’ll anticipate safety risks and deliver trusted, high-quality AI experiences to users around the globe.

Description

We are seeking a visionary Senior Machine Learning Engineer to drive Responsible AI Evaluation efforts for global generative AI products. In this role, you will provide critical technical execution for operationalizing policy and risk assessments into measurable criteria; designing datasets; developing LLM- and human-in-the-loop methods for data analysis; and implementing robust data pipelines to produce reliable, scalable insights that inform ship/no-ship product decisions.Pre- and post-launch, you will be deeply hands‑on—analyzing evaluation results, conducting failure investigations, and leveraging human and automated feedback to continuously improve feature safety and build user trust. As a senior technical leader on the team, you will champion technical excellence, empower leadership with data-driven safety recommendations, and systematically solve complex engineering roadblocks. This role heavily draws on applied data science, scientific investigation, cross-functional collaboration, and defending safety metrics to stakeholders and decision-makers.

Minimum Qualifications

• Develop metrics for the evaluation of safety and fairness risks inherent to generative models and Gen-AI features.
• Design datasets, identify data needs, and implement creative solutions to scale and expand data coverage through human and synthetic generation methods.
• Develop sampling strategies and combine human annotation with auto‑grading to deliver high-quality, high‑confidence insights at a fast pace and large scale.
• Design, implement, and optimize data pipelines, collaborating cross‑functionally to execute end‑to‑end safety evaluations.
• Drive operational excellence by automating manual workflows and optimizing evaluation velocity to meet rapid product release cycles.
• Distill complex project findings into actionable insights for product engineering teams and safety policy development.
• Work with highly‑sensitive content, including exposure to offensive and controversial material.

Preferred Qualifications

• Experience working with multimodal models, agentic systems, and/or diverse languages and locales
• Experience with compliance and regulatory needs in the AI space, specifically regarding child safety, clinical/health applications, or companionship chatbots
• Experience conducting large scale benchmarking across models and capabilities

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 $165,800 and $292,400, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.