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J&T Business Consulting

<div><div><div>Company: Confidential Client 
</div><div>Location: San Francisco, CA (Hybrid) 
</div><div>Salary: $240,000 &ndash; $380,000 base + equity + bonus 
</div><div>Recruitment Partner: J&amp;T Recruitment &ndash; Exclusively Retained 
</div>J&amp;T Recruitment has been exclusively retained by a rapidly scaling AI technology company in San Francisco that is building cutting-edge generative AI platforms used by global enterprise clients. 
They are seeking a Senior AI Engineer to design and deploy production-grade machine learning systems and contribute to the architecture of next-generation AI products.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3> 
<ul><li>Design, train, and deploy large-scale machine learning and generative AI models</li> 
<li>Build scalable data pipelines for model training and inference</li> 
<li>Develop production-ready ML services and APIs</li> 
<li>Work closely with product managers and data scientists to translate research into production systems</li> 
<li>Optimize models for performance, cost, and latency</li> 
<li>Contribute to the design of distributed AI infrastructure</li> 
<li>Stay up to date with advancements in LLMs, transformer architectures, and generative AI</li> 
</ul><h3 class="jobSectionHeader">Tech Stack</h3> 
<ul><li>Python</li> 
<li>PyTorch / TensorFlow</li> 
<li>Hugging Face / Transformers</li> 
<li>Kubernetes</li> 
<li>AWS / GCP</li> 
<li>Vector databases</li> 
<li>ML pipelines (Airflow / Kubeflow)</li> 
</ul><h3 class="jobSectionHeader">Requirements</h3> 
<ul><li>5+ years of experience in Machine Learning or AI Engineering</li> 
<li>Strong experience building and deploying ML models to production</li> 
<li>Experience working with LLMs, NLP, or generative AI systems</li> 
<li>Strong programming skills in Python</li> 
<li>Experience with distributed systems and cloud platforms</li> 
</ul><h3 class="jobSectionHeader">Interview Process</h3> 
<div><ul><li>Recruiter Screening (30 minutes) &ndash; Introduction via J&amp;T Recruitment</li></ul> 
<ul><li>Technical Coding Interview (60 minutes) &ndash; Python and ML fundamentals</li></ul> 
<ul><li>Machine Learning System Design (90 minutes) &ndash; Designing scalable ML architecture</li></ul> 
<ul><li>Technical Deep Dive (90 minutes) &ndash; Discussion around previous AI projects</li></ul> 
<ul><li>Final Leadership Interview (45 minutes) &ndash; Cultural and team alignment</li></ul></div></div></div><div></div>

Senior AI Engineer

Arcade

<div>
 
 About Arcade
 
 
 
 Arcade is building the world&rsquo;s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we&rsquo;re building the infrastructure to make that real.
 
 
 We&rsquo;ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
 
 
 Arcade is headquartered in San Francisco&rsquo;s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We&rsquo;re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we&rsquo;re building fast.
 
 
 
 Overview Of Role
 
 
 
 We are seeking an Applied AI Engineer to join our growing team and help advance our generative AI capabilities. This role blends hands-on model development with integration of cutting-edge AI techniques into production systems. You&rsquo;ll contribute to research, model experimentation, and implementation working closely with cross-functional teams to bring AI-driven products to life.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with engineering and product teams to train and fine-tune machine learning models, including diffusion models, LLMs, and other emerging generative architectures
 </li>
 <li>
 Develop tools and pipelines that support scalable, efficient, and production-ready AI systems
 </li>
 <li>
 Collect, clean, and analyze large-scale datasets to improve model performance and reliability
 </li>
 <li>
 Deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency
 </li>
 <li>
 Design and deploy text-to-image models and LLM-based applications, including advanced prompt engineering, fine-tuning, and multi-component workflows
 </li>
 <li>
 Maintain and monitor deployed models in cloud-based production environments
 </li>
 <li>
 Stay current with developments in generative AI, contribute to the research environment, and apply new developments to enhance pipeline performance
 </li>
 <li>
 Communicate technical concepts clearly across technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, AI/ML, or a related field
 </li>
 <li>
 Strong proficiency in Python and familiarity with Linux environments; hands-on experience with machine learning libraries like PyTorch, TensorFlow,, etc.
 </li>
 <li>
 Strong fundamentals in machine learning concepts, with a deep understanding of algorithms and their underlying mechanics ("under the hood")
 </li>
 <li>
 Familiarity with training, fine-tuning, and evaluating models, especially with large-scale datasets
 </li>
 <li>
 Familiarity with data preprocessing, cleaning, and feature engineering
 </li>
 <li>
 Awareness of recent developments in generative AI, diffusion models, and LLMs
 </li>
 <li>
 Familiarity with cloud platforms and deploying AI models in cloud-based environments
 </li>
 <li>
 Excellent problem-solving and analytical thinking skills with close attention to detail
 </li>
 <li>
 Excellent communication and collaboration skills in a fast-paced and collaborative environment.
 
 
 </li>
 </ul>
 
 Additional
 
 
 
 Competitive compensation
 
 
 Lunch provided daily
 
 
 Company events
 
 
 Arcade is an equal opportunity employer. We&rsquo;re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.
 
 
</div>

Applied AI Engineer

Apple

iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless hardware-software integration consistently pushes mobile photography boundaries. Features like the Photonic Engine, Portrait mode, and Super-high-resolution photos transform moments into magical experiences that delight our customers globally. 
 
The Camera Technologies &amp; Systems team, within Camera &amp; Photos org, delivers unparalleled image and video experiences by innovating at the intersection of state-of-the-art machine learning and computer vision. As a Senior Machine Learning Engineer, you&rsquo;ll pioneer research and develop groundbreaking generative AI for image enhancement and restoration. Your work will enable new camera capabilities across the Apple ecosystem. Every &quot;Shot on iPhone&quot; billboard showcases our ingenuity; we invite you to join our mission and contribute to a world-renowned visual narrative. 
 
Description 
 
As a Machine Learning Engineer, you will be instrumental in driving the innovation of Apple's next-generation iPhone and iPad camera algorithms. You will identify, research, and develop cutting-edge generative AI-based machine learning models to address complex challenges in camera applications. You will collaborate cross-functionally with GPU optimization and framework teams to seamlessly integrate and deploy these advanced features into production, directly shaping the future of mobile imaging. 
 
Preferred Qualifications 
 
Advanced Generative AI Applications: Extensive practical experience in the design, training, and fine-tuning of complex generative AI architectures, encompassing diffusion models, autoregressive models, GANs, and VLMs. Demonstrated success in optimizing and deploying generative models is a plus. 
 
Computer Vision Foundation: Robust theoretical and practical foundation in core computer vision principles, particularly applied to image and video enhancement and restoration tasks such as denoising, super-resolution, and in-painting. 
 
Analytical &amp; Communication Skills: Exceptional analytical problem-solving capabilities and technical communication skills, essential for cross-functional collaboration and presenting complex research. 
 
Proven Research: Publication record in highly selective, peer-reviewed conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICML, ICLR) 
 
Minimum Qualifications 
 
Generative AI Expertise: In-depth understanding and practical experience with advanced generative AI architectures, including (but not limited to) diffusion models, Generative Adversarial Networks (GANs), and autoregressive models. 
 
ML Development Lifecycle: Demonstrated industry experience in the full lifecycle development, optimization, and deployment of machine learning models. 
 
Technical Proficiency: Strong programming skills in Python and deep learning frameworks (e.g., PyTorch). 
 
An MS or PhD in Computer Science, Engineering, or a related technical discipline. 
 
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 . 
 
Pay &amp; 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 $147,400 and $272,100, 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.

Camera and Photos - Machine Learning Engineer

Promise

<div>Company Overview
Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track&mdash;while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable.
Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology.
Backed by over $50 million in funding from top investors &ndash; such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments &ndash; Promise has been recognized as one of Fast Company's &quot;World's Most Innovative Companies of 2022,&rdquo; &ldquo;Forbes Next Billion-Dollar Startups 2024,&rdquo; and Y Combinator&rsquo;s #1 GovTech startup.<h2 class="jobSectionHeader">
About the Role</h2>
At Promise, we&rsquo;re transforming how people in financial difficulty connect with public services&mdash;using technology to make systems simpler, faster, and more human. As a Software Engineer - AI, you&rsquo;ll design and deliver end-to-end generative AI and large language model (LLM) applications that directly power this mission.
You&rsquo;ll build AI pipelines and infrastructure for prompt engineering, fine-tuning, document parsing, and RAG systems, and help bring new AI capabilities from early concept into real-world deployment. You&rsquo;ll be developing AI products that will be deployed across a variety of complex customer use cases. This role requires comfort operating in ambiguity and strong technical judgment about what to build now versus what to scale over time. Your work will drive innovation, automation, and efficiency across our platform&mdash;helping government services reach people more effectively and with greater dignity.
This is a chance to be on the frontier of applied AI: shaping systems that not only push technical boundaries but also make a real-world impact at scale.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2>
Build with purpose: Design and develop AI-powered applications and services, focusing on generative AI and LLMs.
Create pipelines: Implement services for generative AI integrations, document parsing, model fine tuning, and RAG systems, ensuring they are reliable and production-ready.
Drive automation: Partner across teams to identify opportunities where AI reduces friction, increases efficiency, and solves real-world challenges.
Stay ahead: Track and apply advancements in the AI landscape, guiding strategy and adoption.
Shape strategy: Contribute to the vision, goals, and roadmap for AI/ML development at Promise as an individual contributor with meaningful ownership over technical decisions.<h2 class="jobSectionHeader">
Bonus Points</h2>
While not required, we&rsquo;re especially excited about candidates who:<ul><li>
Have taken a product or major feature from 0 1.</li><li>
Have experience building in early-stage or high-growth environments.</li><li>
Have founded or co-founded something &mdash; even if it didn&rsquo;t succeed.</li><li>
Have scaled AI-powered systems beyond initial prototypes.</li><li>
Bring strong product instincts alongside technical depth.</li></ul><h2 class="jobSectionHeader">
Who Thrives at Promise</h2>
You&rsquo;ll love it here if:<ul><li>
You are energized by big, complex challenges and the opportunity to solve them.</li><li>
You want your work to have a real, measurable impact on people&rsquo;s lives.</li><li>
You take ownership and run toward problems, not away from them.</li><li>
You&rsquo;re energized by building in environments where not everything is fully defined yet.</li><li>
You value clear, candid, and constructive communication.</li></ul>
Promise is not for you if:<ul><li>
You prefer hierarchy and rigid structures. We operate with freedom and responsibility.</li><li>
You are uncomfortable with change. We move fast, adapt often, and expect agility.</li><li>
You want a typical corporate culture. We are mission-driven, ambitious, and direct.</li><li>
You believe efficiency means &ldquo;doing less.&rdquo; We believe efficiency means doing better.</li></ul>
Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. To request a reasonable accommodation, please email accommodations@joinpromise.com.
Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.
Compensation Range: $170K - $240K</div>

Software Engineer - AI

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
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 . 
 
Pay &amp; 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 $147,400 and $272,100, 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.

AI Engineer, AI & Data Platforms (AiDP)

Realign

<div>San Francisco, California 94016 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-6

Are you excited about using AI/ML models to drive innovation across disciplines? Are you passionate about developing intelligent agents that transform how engineering decisions are made? If so, please come and join us! 
 
We are a multi-functional team focused on building platforms and tools that enhance the engineering design processes behind millions of Apple products-including iPhone, iPad, Apple Watch, AirPods, Vision Pro, and more. This is a unique opportunity to apply your AI/ML expertise and software development skills to have a real impact at scale. 
 
Description 
 
We are seeking a top-tier AI Application Engineer with strong architectural thinking, deep AI/ML knowledge, and robust software development skills to help design, build, and deploy intelligent systems powered by machine learning and large language models (LLMs). 
 
In this role, you'll work at the intersection of applied AI and software engineering-translating ground breaking research into practical, scalable tools. You&rsquo;ll take ideas from feasibility studies and rapid prototypes to production-ready solutions with intuitive, high-quality user experiences. Your contributions will shape how engineering teams make faster, smarter decisions across many Apple hardware programs.&quot;,&quot;responsibilities&quot;:&quot;Serve as a founding engineer to shape the project&rsquo;s technical foundation. 
 
Partner with hardware teams to define AI product features and scope. 
 
Benchmark, adapt, and integrate AI/ML models into existing software systems. 
 
Architect and implement the end-to-end software solution. 
 
Deploy and support AI tools for hardware engineering teams. 
 
Preferred Qualifications 
 
Hands-on experience developing AI-powered applications 
 
Experience designing and deploying agentic AI systems 
 
Extensive knowledge with popular LLMs such as Gemini, Claude, and GPT 
 
Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) 
 
Demonstrated ability to bring innovative AI research into production systems 
 
Hands-on experience with cloud services and containerization technologies 
 
Additional experience in Java or C++ is a plus 
 
Master's or PhD in Computer Science, Computer Engineering, or a related field 
 
Minimum Qualifications 
 
BS and a minimum of 3 years relevant industry experience 
 
Strong understanding of generative AI models, particularly large language models (LLMs) 
 
Proficiency in Python 
 
Excellent software engineering skills, versed in modular and object-oriented design methodology and general SW standard processes 
 
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 . 
 
Pay &amp; 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 $139,500 and $210,100, 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.

AI Application Engineer

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