AIML - Machine Learning Researcher, Siri Information Intelligence

Key Skills

Keras software library, Python Programming, PyTorch, Rust, TensorFlow

Job Description

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.

Do you want to make Siri and Apple products smarter for our users? Do you want to be a part of redefining how people use their computing devices to search and access information? Are you excited by early stage initiatives with potential for huge impact?

The AIML Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, , computer vision and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup.

Join a new team in Apple AIML that is investigating novel visual capabilities across all Apple products that will transform the way people engage with the world around them! We’re looking for strong engineers to work on cutting-edge technology, collaborate with experts across Apple, and deliver new end-to-end experiences that delight customers.

Key Qualifications

• 3+ years of professional experience in machine learning for computer vision applications
• Excellent knowledge and good practical skills in major machine learning algorithms
• Proven track record of developing and productionalizing high-quality computer vision algorithms
• Strong interpersonal skills able to work independently as well as in a team
• Excellent software design problem solving and debugging skillsFluency in Python and another language (C/C++, Go, Rust)
• Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch…)

Description

As a machine learning engineer you are excited to seek and tackle high impact problems using deep learning and large data sets. You will stay up to date with the latest research in detection, segmentation and metric learning and work with a team of highly qualified computer vision and machine learning specialists to develop innovative computer vision/machine learning systems in the area of visual search. You'll be involved in all phases of model development including data analysis, prototyping, testing, deployment.

We work closely with teams across Apple worldwide and are looking for expert Applied ML Engineers to join our Agile development teams. You will have great technical skills, a drive for high quality software and the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success. You will fit into our teams, be a fantastic collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment.

If this is you, we'd love to hear from you.

Education & Experience

MS, Ph.D. in a related field , or equivalent experience

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 $131,500 and $198,100, 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.