At a Glance
- Tasks: Join a team to optimise ML workloads for Apple’s cutting-edge hardware and software.
- Company: Apple, a leader in innovation and technology with a diverse culture.
- Benefits: Competitive salary, health benefits, flexible work options, and growth opportunities.
- Other info: Collaborative environment with opportunities to engage with developers and open source communities.
- Why this job: Make a real impact on the future of machine learning in iconic Apple products.
- Qualifications: Experience in programming, machine learning, and GPU optimisation techniques.
The predicted salary is between 63000 - 77000 £ per year.
Pro Apps ML Ecosystem Engineer
Apple’s Metal Pro Apps Ecosystem team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for i OS, mac OS and Apple TV
Apple’s GPU, Graphics and Displays org provides the graphics software foundation across all of Apple's innovative products, including Mac, i Pad, i Phone, and Apple TV.
Our responsibilities encompass the frameworks, developer tools, and device drivers for the GPU and Display on Apple’s hardware.
MPSGraph provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple to improve the ML inference potential and performance applications on for i OS, mac OS and Apple TV.
GGML's Metal Pro Apps and ML Ecosystem team is now seeking a world-class, driven, and dedicated engineer to work alongside developers to integrate and optimize ML workloads for Apple’s ANE and GPU silicon into their mac OS and i OS applications.
Are you ready to engage with developers to advance their success using Apple’s tools and technologies related to ML?
Responsibilities: Analyze developers products and report on their use of the ML API, recommending optimizations, algorithms, and techniques to improve their applications.
Contribute platform enablement and optimisations to key open source projects.
Host developers during in-person engineering sessions.
You will be a key source for all aspects of ML application development, including engineering, documentation, training, and relationship management.
- Support adoption of GPU-accelerated training by 3rd party Apps and key middleware.
- Performing in-depth analysis of an application’s full stack to drive the best possible performance across hardware families.
- Representing Apple to these 3rd party clients and open source communities, managing the relationships, and driving the engineering work
- GPU compute framework development, maintenance, and optimization.
- Proven programming and problem-solving skills.
- Good understanding of machine learning fundamentals.
- Exemplary written and oral communication skills.
- GPU compute programming models & optimization techniques.
- Machine learning development using one or more ML frameworks (Py Torch, Tensor Flow. or JAX).
- Experience with system level programming and computer architecture.
At Apple, we’re not all the same.
And that’s our greatest strength.
We draw on the differences in who we are, what we’ve experienced and how we think.
Because to create products that serve everyone, we believe in including everyone.
Therefore, we are committed to treating all applicants fairly and equally.
As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations.
Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
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Pro Apps ML Ecosystem Engineer employer: Apple Technical Recruitment
As an Associate Quantity Surveyor in London, you will join a dynamic team that values collaboration and innovation, offering a competitive salary of £85,000 - £95,000. The company fosters a supportive work culture with ample opportunities for professional development and career progression, ensuring that you can grow your skills while working on high-profile projects. With a focus on employee well-being and a commitment to excellence, this role provides a rewarding environment for those looking to make a significant impact in the construction industry.
Contact Details:
Apple Technical Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Pro Apps ML Ecosystem Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Apple Technical Recruitment or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Apple Technical Recruitment.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Apple Technical Recruitment.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Apple Technical Recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Pro Apps ML Ecosystem Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Apple Technical Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Apple Technical Recruitment and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Apple Technical Recruitment
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Apple Technical Recruitment uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
