machine learning engineer intern

Cegedim

<div>
 
 Votre Mission Chez Cegedim
 
 
 
 Join us in building the infrastructure that powers next-generation AI solutions.At Cegedim Academy, we're looking for passionate MLOps Engineering Interns to work alongside experienced mentors and talented peers on real-world AI and machine learning platforms. As part of the internship, you'll contribute to building scalable, reliable, and production-ready systems that support the deployment and operation of AI solutions.This is a hybrid, fast-paced environment where innovation, collaboration, and continuous learning are encouraged. You'll gain hands-on experience with modern cloud and MLOps technologies while helping deliver AI systems at scale.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Build and maintain machine learning deployment pipelines
 </li>
 <li>
 Automate model training, testing, and deployment workflows
 </li>
 <li>
 Implement CI/CD practices for machine learning applications
 </li>
 <li>
 Monitor model performance, reliability, and data drift in production
 </li>
 <li>
 Manage cloud infrastructure supporting AI workloads
 </li>
 <li>
 Improve observability, governance, and reproducibility of ML systems
 </li>
 <li>
 Collaborate with AI Engineers, Software Engineers, and mentors throughout the project lifecycle
 </li>
 <li>
 Learn industry best practices for operating machine learning systems
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 Currently pursuing or recently completed (2025 or 2026) a degree in:
 
 
 <ul>
 <li>
 Computer Science
 </li>
 <li>
 Computer Engineering
 </li>
 <li>
 Artificial Intelligence
 </li>
 <li>
 Data Science or related fields
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Understanding of software engineering and DevOps fundamentals
 </li>
 <li>
 Familiarity with Docker and containerization concepts
 </li>
 <li>
 Knowledge of CI/CD pipelines and version control systems
 </li>
 <li>
 Interest in cloud computing and machine learning operations
 </li>
 <li>
 Familiarity with Kubernetes, MLflow, Airflow, GitHub Actions, GitLab CI, AWS, Azure, or GCP is a plus
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong teamwork, communication, and problem-solving skills
 </li>
 <li>
 Curiosity, initiative, and a willingness to learn
 </li>
 <li>
 Ability to work in a collaborative environment
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Work on real-world AI infrastructure and deployment challenges
 </li>
 <li>
 Receive mentorship from experienced professionals
 </li>
 <li>
 Gain practical experience with modern MLOps tools and cloud platforms
 </li>
 <li>
 Collaborate in a supportive and innovative environment
 </li>
 <li>
 Build skills that prepare you for a career in MLOps and Cloud Engineering
 </li>
 </ul>
</div>

MLOps Engineering Intern

Revolut

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the Internship Programme
Our Internship Programme is designed for ambitious students who want to make their summer count. Over 8&ndash;10 paid weeks, you&rsquo;ll work on real projects, tackle meaningful challenges, and develop your skills alongside industry experts. It&rsquo;s an opportunity to learn, innovate, and build a solid foundation for your career.
Top performers may be offered a place on our Graduate Programme the following year, giving you the opportunity to return and continue your journey at Revolut.
About the role
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering scalable solutions that move the business forward.
We&rsquo;re looking for Data Scientist and Analyst Interns who believe no data task is too complex. You&rsquo;ll dig into databases, uncover root causes, design smart solutions, and write the code to bring them to life.
Up to shape what&rsquo;s next in finance? Let&rsquo;s get in touch.
Join us from anywhere
The Internship Programme is open to international applicants ready to relocate to one of our tech hubs in Poland, Portugal, the UAE, or the UK. We&rsquo;ll support you with visa assistance, travel costs, and accommodation (conditions apply). You&rsquo;ll be expected to spend around 3 days per week in the office (where role and location allow).
Key dates<ul><li>
Applications: open from May 2026</li><li>
Recruitment process: July&ndash;December 2026</li><li>
Programme start: June / July 2027</li></ul> 
Roles are filled on a rolling basis &mdash; apply early.
What you'll be doing<ul><li>
Taking part in a hands-on bootcamp and working on real projects across multiple teams</li><li>
Helping to build analytical tools and machine learning models (such as dashboards and ETLs) to support product launches</li><li>
Improving visibility in user sign-up flows and operational funnels</li><li>
Enhancing and maintaining data infrastructure (including ETLs and LookML) to keep data accessible and reliable</li><li>
Collaborating with teams across Operations, Growth, and Product to refine features and uncover insights</li><li>
Supporting decision-making with ad-hoc analysis (e.g., interest rate sensitivity, incentive profitability, conversion rates)</li><li>
Learning from industry leaders and staying aligned with team priorities through weekly meetings</li><li>
Managing tasks, tracking progress, and communicating key outcomes</li><li>
Sharing updates with our global teams</li><li>
Receiving regular feedback to guide your development</li></ul>
What you'll need<ul><li>
To be in your penultimate year of a bachelor&rsquo;s or master&rsquo;s degree in computer science, maths, physics, or a similar field (graduating in 2028)</li><li>
Impressive Python and SQL skills</li><li>
An interest or experience in analytics engineering, product analytics, data science, or ML engineering</li><li>
A solid foundation in maths and statistics</li><li>
A proactive, results-driven mindset</li><li>
Fluency in English</li><li>
Great communication, organisational, and problem-solving skills</li><li>
To be comfortable working in a fast-paced, diverse team environment</li><li>
Full-time availability for summer 2027</li><li>
The ability to attend a Revolut office in your country of employment at least 3 days per week (this is a hybrid role)</li></ul>
Compensation range<ul><li>
Krakow: PLN7,600 - PLN7,600 gross monthly*</li><li>
Poland: PLN7,600 - PLN7,600 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice</div>

Internship Programme 2027: Data Scientist and Analyst

FlyRank

FlyRank AI is opening remote, self-paced unpaid AI internships across six tracks. Every specialization includes General AI Fluency foundations. Pick your track, build a real capstone project with AI tools, and earn proof that recruiters can actually verify.When you complete it, you walk away with:<ul><li>A verifiable credential with a public verification page</li><li>An eligible letter of recommendation</li><li>Anthropic course certificates (covered through the Claude Partner Network, when available)</li><li>A real portfolio capstone you own</li><li>Authorization to list FlyRank AI as work experience on your LinkedIn</li><li>Access to the FlyRank community, office hours, and network intros after graduation</li><li>The 6 Tracks</li><li>General AI Fluency &mdash; Learn to work with AI as a partner, across every role. No technical background required.</li><li>AI Marketing &mdash; Run experiments and move real numbers with AI tools. Strong English writing required.</li><li>Front-end AI Engineering &mdash; Build and ship client-ready web projects with AI as your pair-programmer. Intermediate HTML/CSS/JS and React required.</li><li>Backend AI Engineering &mdash; Build RAG pipelines, agents, and APIs &mdash; the engine behind real AI products. Intermediate Python or Node.js required.</li><li>Machine Learning &mdash; Build production AI systems with real data and modern tooling. Strong Python required.</li><li>UI/UX Design &mdash; Prompt, design, critique, and ship a portfolio-ready product using AI-native design tools. Intermediate Figma required.</li></ul>How it works<ul><li>Apply &mdash; Sign in with LinkedIn, pick a track, write a few sentences. ~5 minutes.</li><li>Onboard &mdash; Get approved, complete the AI Fluency kickoff, then start your track checklist.</li><li>Build &mdash; Work assignments at your own pace and ship a real capstone artifact.</li><li>Graduate &mdash; Earn a verifiable credential and an eligible recommendation letter.</li></ul>Self-paced. You set the schedule around school, a job, or another commitment.Who this is for<ul><li>18+</li><li>Self-directed &mdash; you manage your own time</li><li>Comfortable communicating in English</li><li>Ready to actually use AI tools, not just read about them</li></ul>No degree required. No location restriction. No prior internship required.https://internship.flyrank.ai/Pay: From $2,000.00 per monthBenefits:<ul><li>Employee assistance program</li><li>Flexible schedule</li><li>Professional development assistance</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: Remote

AI Intern – SEO & Automation Projects

ChatGPT Jobs

<div>
 
 Job Description
 
 
 
 AI/ML Engineering Intern
 
 
 
 Company:
 
 Synopsys
 
 
 
 Location:
 
 Mountain View, CA (On-site, Remote)
 
 
 
 Category:
 
 Interns/Temp
 
 
 
 Hire Type:
 
 Intern
 
 
 
 Job ID:
 
 17595
 
 
 
 Base Salary Range:
 
 $0-$0
 
 
 
 Remote Eligible:
 
 Yes
 
 
 
 Date Posted:
 
 05/27/2026
 
 
 
 About This Opportunity
 
 
 
 Synopsys' Generative AI Center of Excellence defines the technology strategy to advance applications of Generative AI across the company. The GenAI COE pioneers the core technologies - platforms, processes, data, and foundation models - to enable generative AI solutions, and partners with business groups and corporate functions to advance AI-focused roadmaps.
 
 
 We are looking for a motivated AI/ML Engineering Intern to join our team for the summer and contribute to exciting projects in Artificial Intelligence &amp; Machine Learning. This internship offers an opportunity to work on real-world problems, collaborate with experienced engineers and researchers, and gain hands-on experience building intelligent software solutions. The ideal candidate is curious, technically strong, eager to learn, and excited to apply AI/ML concepts to practical engineering challenges.
 
 
 What You'll Be Doing
 
 
 <ul>
 <li>
 Support the development and evaluation of AI/ML prototypes and software solutions
 </li>
 <li>
 Contribute to projects involving machine learning, data analysis, automation, or Generative AI applications
 </li>
 <li>
 Help prototype and test AI-powered features, models, or proof-of-concepts
 </li>
 <li>
 Participate in software development activities including coding, debugging, testing, and documentation
 </li>
 <li>
 Collaborate with engineers and researchers on technical problem solving and project execution
 
 
 </li>
 </ul>
 What You'll Need
 
 
 <ul>
 <li>
 Currently pursuing a Bachelor's, Master's, or equivalent degree in Computer Science, Software Engineering, Electrical Engineering, or similar field
 </li>
 <li>
 Proficiency in Python programming
 </li>
 <li>
 Familiarity with Python libraries such as NumPy, Pandas, or scikit-learn
 </li>
 <li>
 Understanding of basic data structures and algorithms
 </li>
 <li>
 Knowledge of software development fundamentals
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Good communication skills and willingness to learn
 
 
 </li>
 </ul>
 Key Program Facts
 
 
 <ul>
 <li>
 Program Length: Summer internship program
 </li>
 <li>
 Location: Sunnyvale, CA
 </li>
 <li>
 Working Model: In-office
 </li>
 <li>
 Full-Time/Part-Time: Full-time
 </li>
 <li>
 Start Date: September 2025
 </li>
 </ul>
</div>

AI/ML Engineering Internship

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

tTAmIvfFVv</div>

AI/ML Engineer – Agentic AI

Prolific

<div>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We&rsquo;re looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you&rsquo;ll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (EST)

Apple

The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video catalog. 
 
Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy. 
 
Join us, you&rsquo;ll develop scalable systems and machine learning models that drive search relevance, personalization, and understanding of content at scale. Working closely with cross-functional partners in product and design, you&rsquo;ll translate cutting-edge research in advanced machine learning and generative AI into secure and delightful production features used by millions every day. 
 
Description 
 
As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. 
 
You&rsquo;ll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards. 
 
This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production-shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight.&quot;,&quot;responsibilities&quot;:&quot;Solve complex research problems and implement solutions from concept to execution. 
 
Design and implement retrieval and ranking systems using semantics and user context. 
 
Build and deploy ML, NLP and LLM models to improve search relevance and personalization. 
 
Analyze data and model performance to identify opportunities for search quality enhancement. 
 
Develop automated tests for continuous integration and ensure successful production deployment. 
 
Conduct A/B tests to measure search improvements. 
 
Collaborate with cross-functional teams to innovate intelligent video catalog text search. 
 
Enhance search recall and ranking for global Apple devices across all platforms and languages. 
 
Utilize big data tech to evaluate content discovery features. 
 
Ensure systems meet Apple&rsquo;s privacy, efficiency, and user experience standards. 
 
Preferred Qualifications 
 
Experience with search or recommendation systems, and semantic retrieval or vector databases. 
 
Expertise in transformer architectures, embeddings, and retrieval or ranking models. 
 
Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions. 
 
Exposure to evaluation and safety frameworks for LLM-based systems. 
 
Knowledge of reinforcement learning and other modern post training practices for LLMs. 
 
Passion for developing intelligent, human-centered experiences to enhance content discovery. 
 
Minimum Qualifications 
 
Experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs). 
 
Strong programming skills in Python, Java and Go for building scalable ML systems. 
 
Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment. 
 
Ability to translate product goals into technical solutions, improving user experience. 
 
Strong communication, collaboration, and analytical problem-solving skills. 
 
In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more. 
 
Industrial experience in search, classification, recommendation systems, or related fields. 
 
Familiarity with A/B testing and data-driven product development. 
 
Passionate about creating products loved by customers at Apple. 
 
Bachelor&rsquo;s degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. 
 
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.

Machine Learning Engineer, ASE Search Team

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