Full-Time
Machine Learning Research Engineer
Apple
10,001+ employees
Designs and sells hardware and software
No salary listed
Cupertino, CA, USA
In Person
Bachelor's, Master's, PhD
 AI & Machine Learning (2) |
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- A Bachelor’s degree and a minimum of 3 years of relevant industry experience.
- At least 3 years of hands-on experience in machine learning research, which can include Ph.D. work.
- A proven track record of success in deep learning, including publications in top machine learning or computer vision venues.
- Familiarity with the latest machine learning and computer vision innovations, including generative artificial intelligence modeling techniques.
- Proficiency in Python and software skills in common machine learning tools such as PyTorch or TensorFlow.
- Knowledge of machine learning and specifically deep learning, including principles, model prototyping and architecture design, training procedures, visualization and debugging methodology, and objective function design.
- Research components of machine learning-based approaches to image and video processing problems by inventing models, designing appropriate datasets and pipelines to train them, prototyping new architectures to improve performance, and studying existing literature.
- Collaborate closely with team members to optimize model efficiency and deploy models on particular hardware architectures.
- Work with cross-functional teams to achieve quality and computational requirements for shipping the technology.
- Demonstrate the technology, present to leadership, and discuss progress with colleagues.
- A Ph.D. or Master’s degree specializing in machine learning.
- Experience implementing custom operations in CUDA.
- Experience designing practical machine learning implementations and applying machine learning in industry.
- Experience with generative modeling, optical flow, perceptual quality, machine learning for video, or data compression.
- Excellent written and oral communication skills.
Apple designs, manufactures, and sells hardware and software across iPhone, iPad, Mac, Apple Watch, and Apple TV, plus services like the App Store, Apple Music, iCloud, and Apple Pay. The products work together through an integrated ecosystem where devices run Apple’s own operating systems and sync data via iCloud, delivering a seamless user experience. It differentiates itself by controlling both hardware and software end-to-end, maintaining a unified design, and expanding services and spatial computing. Its goal is to provide a cohesive, high-quality experience across devices while growing services revenue and expanding its ecosystem.
Company Size
10,001+
Company Stage
IPO
Headquarters
Cupertino, California
Founded
1976
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Simplify's Take
What believers are saying
- Apple launched M6 Mac mini and M5 Ultra Mac Studio on August 25, 2026.
- Developers can run local LLMs on M6 and M5 Ultra for private AI workflows.
- Apple disclosed $17.1 billion Ireland taxes, reducing uncertainty from the EU back-tax dispute.
What critics are saying
- Apple cut 200+ jobs on August 21, 2026, exposing Siri and Vision Pro weakness.
- Camera AirPods slipped to 2027 after supply and software problems, delaying AI wearables.
- Vision Pro demand remains weak; if smart glasses fail, Apple’s spatial strategy stalls.
What makes Apple unique
- Apple’s vertical silicon stack, from M6 to M5 Ultra, tightens hardware-software control.
- Apple’s privacy brand still differentiates, especially in on-device AI and encrypted emergency features.
- Apple’s ecosystem lock-in across iPhone, Mac, Watch, AirPods, and services remains unmatched.
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Benefits
Health Insurance
Dental Insurance
401(k) Retirement Plan
401(k) Company Match
Tuition Reimbursement
Performance Bonus
Relocation Assistance
Employee Stock Purchase Plan
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↓ -5%Nvidia is set to report earnings on Wednesday as its stock prepares to end a seven-session losing streak. The chipmaker's results come amid heightened competition in the AI chip market. Apple has announced new Mac mini and Mac Studio desktop computers featuring significant processor upgrades, continuing its push into AI-enhanced computing. OpenAI has claimed its new Jalapeno chips outperform Nvidia's current chip lineup, marking a notable challenge to Nvidia's dominance in AI hardware. The development signals growing competition as AI companies seek alternatives to Nvidia's GPUs for training and deploying large language models.
Nvidia is set to report second quarter earnings after market close on Wednesday. Analysts expect adjusted earnings per share of $2.09 on revenue of $92 billion, representing a 96% year-over-year revenue increase and continued quarter-over-quarter acceleration. Apple unveiled new versions of its Mac Mini and Mac Studio on Tuesday, targeting AI developers. The compact desktops have become popular in the AI community, with certain models increasingly difficult to find in stores. The Mac Mini has gained traction due to its relatively low cost and ability to operate without a display, making it ideal for running AI agents. The Mac Studio has attracted engineers with its powerful chips.
Apple has announced refreshed Mac mini and Mac Studio models featuring two new chips: the M6, Apple's first 2nm M-series chip, and the M5 Ultra. The updates primarily target local AI inference and software development workflows. The M6 includes a 12-core CPU with Apple's first three-core-type design and a 12-core GPU, with up to 32GB memory capacity. The M5 Ultra offers up to 512GB memory and 1.2TB per second unified memory bandwidth, essentially combining two M6 Max chips. These specs address growing demand for running large language models locally. Since macOS 26.2 enabled distributed AI inference via Thunderbolt 5 last December, developers have been daisy-chaining Mac minis and Studios as alternatives to Nvidia GPU-based systems. The Mac mini with M6 starts at $899, whilst the Mac Studio with M5 Ultra begins at $5,499. Both devices are available for preorder today and ship on 22 September.
Apple has unveiled updated Mac Mini and Mac Studio desktop computers featuring new M6 and M5 Ultra chips. The Mac Mini now offers M6 and M5 Pro options, skipping the M5 generation entirely. The M6 chip marks Apple's first 2-nanometre processor, featuring a 12-core CPU with newly introduced performance cores designed for multithreaded tasks. Apple claims the M6 delivers 20% faster multithreaded performance than the M5 and 40% faster than the M4. The chip includes 12 GPU cores and a dual 16-core Neural Engine for enhanced AI capabilities. The M6 Mac Mini starts at $899, representing a $200 price increase, with 16GB unified memory and bandwidth reaching 170GB per second. The Mac Studio introduces the M5 Ultra, Apple's first quad-die architecture chip. It features 36 CPU cores and 80 GPU cores, with UltraFusion technology providing over 4.4TB per second inter-die bandwidth.
RapidSOS has enabled Apple Emergency SOS Live Video for emergency services across Brazil. The feature allows iPhone users to securely share live video with 190 dispatchers during emergencies through RapidSOS UNITE. The technology works by letting telecommunicators send video requests to callers' devices during emergency calls. Users can share their camera's live feed with a single tap, and the connection is encrypted by default. Callers can stop sharing at any time. RapidSOS first enabled the feature in the United States with iOS 18's release in September 2024. The company's network includes over 723 million connected devices and serves 23,500 federal, state and local agencies across 16 countries. The feature is available at no additional cost to Brazilian emergency communications centres using UNITE core modules.