Jobs in the United States

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Added 3 mins ago
Software Engineer III, AI/ML Recommendations, Rankings, Predictions
Google
Mountain View, CA
Experience integrating generative AI tools or LLM interfaces into workflows.
Added 3 mins ago
Senior Staff Software Engineer, Generative AI, Search Intelligence
Google
Mountain View, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 42 mins ago
Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads
Google
Mountain View, CA · Pittsburgh, PA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 1 hour ago
Senior Staff AI Engineer, Multimodal Agentic AI for Glasses
Google
San Jose, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 1 hour ago
Vice President, Go to Market
Eliza
Remote, United States
…organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to…
Added 1 hour ago
Staff AI Engineer, Multimodal Agentic AI for Glasses
Google
San Jose, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 1 hour ago
Artificial Intelligence (AI) Engineer
City of New York
New York City, NY
The New York City Police Department seeks a technically motivated AI Engineer to support the development, automation, and integration of artificial intelligence solutions within its…
Added 1 hour ago
Agentic AI Engineer – Workflow Orchestration & Prompt Engineer
ManpowerGroup
Charlotte, NC
Experience designing, implementing, and optimizing multi-step LLM, generative AI, and agentic workflows.
Added 2 hours ago
Staff Software Engineer, Backend Infrastructure and Rapid Prototyping, Google Labs
Google
New York, NY · Cambridge, MA · Mountain View, CA
5 years of experience leading ML design, optimizing end-to-end ML (deployment, evaluation, tuning), and integrating generative AI tools or Large Language Model (LLM) interfaces.
Added 2 hours ago
Senior Staff Software Engineer, AI/ML Diagnostic Systems and Hardware Coverage
Google
Sunnyvale, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 3 hours ago
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Software Engineer 2 - CoreAI
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $219,200 USD / year
…experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent,…
Added 3 hours ago
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Senior Security Engineer
Microsoft
CA · Sunnyvale, CA · Sunnyvale
- $119,800 to $261,000 USD / year
As a Senior Security Engineer in the Microsoft AI Infrastructure Information Security team, you will lead large-scale security assessments of complex and high-risk applications, cloud…
Added 3 hours ago
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Software Engineer II- Copilot, Agents and Platforms
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · Redmond · Mountain View · New York
- $102,100 to $219,200 USD / year
Hands-on experience building and operating generative AI or agentic systems in production, with direct ownership over quality, reliability, and iteration.
Added 3 hours ago
Director, AI Security
J&J Family of Companies
Raritan, NJ
Establish AI discovery capabilities to identify enterprise use of generative AI, AI applications, agents, and models across the full AI footprint, and prioritize gaps in security coverage.
Added 3 hours ago
Applied AI Lead Engineer for Banking Technology
Citigroup
Jersey City, NJ
Applied AI Lead Engineer, Banking Technology SVP (Hybrid)
Added 4 hours ago
A/AI Software & Systems Engineer Sr Stf
Lockheed Martin
Bethesda, MD
Demonstrated experience architecting and delivering AI-powered production systems - including deep hands-on work with LLMs, VLMs, and/or Generative AI
Added 4 hours ago
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Senior DevOps & AI Platform Engineer (GCP) - REMOTE
Cognizant
Tempe, AZ
- $62,500 to $99,000 USD / year
Cognizant is seeking a Senior DevOps & AI Platform Engineer (GCP) to support Couche Tard Inc. This role is responsible for building and operating a secure, scalable, and automated Google…
Added 4 hours ago
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Campus Undergraduate Summer Internship Program - 2027 Cybersecurity AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
…innovate, and make an impact from day one. As a Cybersecurity AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week Summer Internship Program and contribute to…
Added 4 hours ago
Full Stack Forward Deployed Engineering Senior Manager/Assoc Director
Accenture
Saint Louis, MO
(If Associate's Degree, must have minimum 6 years work experience), AI certifications or agentic tool experience is a plus
Added 4 hours ago
A/AI Systems Engineer - E2
Lockheed Martin
Littleton, CO
Knowledge of LLMs, Generative AI, LLM Tool Calling, Model Context Protocol (MCP), RAG, Python (PyTorch, TensorFlow, scikit-learn, NumPy, Pandas), MLOps, NLP, Computer Vision, Reinforcement…
Added 4 hours ago
Software Development Engineer, CE Tech
Amazon
Denver, CO
…and businesses), our suppliers, and our organization. We use generative AI (GenAI) to make our engineering teams more productive, and to make the shopping experience better for our…
Added 5 hours ago
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(USA) Staff, Software Engineer
Walmart
BENTONVILLE, AR
- $110,000 to $220,000 USD / year
Join Walmart as a Staff Software Engineer to lead the design, development, and deployment of scalable data platform capabilities and AI-driven applications. This role involves driving the…
Added 5 hours ago
Data Engineer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 5 hours ago
AI Engineer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 5 hours ago
Generative AI Engineer Role
OpenDataJobs
Remote, United States
Click Apply below to register for Generative AI Engineer Role.

AIML - Machine Learning Engineering Manager, Evaluation - Responsible AI and Safety

Cupertino, CA, United States

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.

Apply on jobs.apple.com About employer

Applications open in a new tab.

Job details

Pay: 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.
Posting language: English
Posted: Oct 30, 2026

Original job description

Summary Join Us in Shaping the Future of Generative AI at Apple!

Are you passionate about building and leading teams that make AI systems safer, more inclusive, and globally representative? Apple is seeking an experienced Engineering Manager to lead a team shaping the future of responsible AI evaluation for the next generation of generative features.

In this role, you will lead a team of machine learning engineers and data scientists working to assess, quantify, and improve the safety and inclusivity of Apple’s Generative-AI powered features and products. You and your team's 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 set technical direction, anticipate safety risks, and develop a team to deliver trusted, high‑quality AI experiences to users around the globe.

Description We are seeking a visionary Machine Learning Engineering Leader to build, mentor, and develop a high-performing team, driving Responsible AI Evaluation efforts for global generative AI products. In this role, you will provide critical technical direction for operationalizing policy and risk assessments into measurable criteria; designing datasets; developing LLM- and human-in-the-loop methods for data analysis; and overseeing the implementation of data pipelines to produce reliable, scalable insights to inform ship/no-ship product decisions. Pre and Post-launch, you will remain 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 champion for your team, you will foster an inclusive culture of technical excellence, empower senior leadership with safety recommendations, and systematically remove roadblocks to ensure team success. This role heavily draws on applied data science, scientific investigation and interpretation, strategic cross-functional stakeholder management, including negotiating requirements and defending safety metrics to leadership, and metrics reporting and presentation to stakeholders & decision-makers.

Responsibilities

Develop metrics for evaluation of safety and fairness risks inherent to generative models and Gen-AI features Design datasets, identify data needs, and work on creative solutions, scaling and expanding 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 Use and implement data pipelines, and collaborate cross-functionally to execute end-to-end safety evaluations Drive operational excellence by automating manual workflows, optimizing evaluation velocity, and scaling infrastructure to meet rapid product release cycles. Distill project findings into insights for product engineering teams and safety policy development Work with highly-sensitive content with exposure to offensive and controversial content

Minimum Qualifications MS or PhD in Computer Science, Linguistics, Cognitive Science, HCI, Psychology, Mathematics, Physics, or a similar science or technology field with a strong basis in scientific data collection and analysis + at least 4 years of relevant work experience, or BA/BS with 8+ years of relevant work experience, with 2+ years directly managing engineering teams Experience gathering and analyzing varied language, image, voice, video, and/or multi-modal data, including human- and LLM-generated data Experience with LLM-Judges as well as human-in-the-loop techniques, including designing human annotation projects, writing guidelines, and dealing with highly multi-labeled, nuanced, and often conflicting data Proficiency in data science, machine learning, analytics, programming with Python & Pandas, and AI-assisted coding tools; experience with one or more plotting & visualization libraries Cross-functional collaboration skills to prioritize competing projects needs, set and maintain schedules for project milestones, and communicate with all levels of team members, as well as internal and external stakeholders A rigorous approach to metric development; interpretation of experiments and evaluations; and presentation to executives Comfortable leading a team that works with sensitive or potentially offensive content.

Preferred Qualifications Experience working in the Responsible AI space Passion for building innovative, high‑impact products and teams that draw upon interdisciplinary skills Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable A Social Science or Humanities background, or other demonstrable interest in socio-technical issues Prior scientific research and publication experience Proven track record of contributing to diverse teams in a collaborative environment 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

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.

EEO Statement 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

Accessibility 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

Application Deadline Apple accepts applications to this posting on an ongoing basis.

Apply on jobs.apple.com About employer

More about this job

Skills

Machine learning
Lead a team
Data analysis
Stakeholder management
Computer science
Python
Collaboration
Social sciences
Research

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Work requirements

Jobs in the United States