What are the responsibilities and job description for the Machine Learning Systems Infrastructure Engineer - SIML, ISE position at Karkidi?
In this role, you will be building infrastructure to support product-focused machine learning projects. You will build systems that leverage machine learning to index terabytes of data for projects in domains like image generation, LLMs, computer vision, natural language processing, human-computer interaction, and text recognition. You will define and build out systems for analysis of failure modes of algorithms built upon this data, and for reporting overall benchmarking results for model comparisons. The technology you build will play a major role in defining important datasets, ingestion of annotated / inferred data into our systems, and making the data available to machine learning scientists in a seamless manner. This role requires a diverse set of skills, from tackling low-level distributed computing challenges at bare metal, to contributing to internal client user experiences by building stable interfaces, and everything in between.
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As the ideal candidate, you enjoy variety, and are passionate about working on new things on a frequent basis. You love working with a large number of people across teams throughout the company, and driving solutions that take multiple partners into account. You are either a machine learning industry pro, or an outstanding engineer wanting to expand your horizons and learn more about the nitty gritty of how ML projects are launched from inception to release.
Minimum Qualifications
- 5 years of experience in full-stack development.
- Experience in Java and / or Python, and C / C .
- Solid working knowledge of machine learning fundamentals.
- Proven experience in systems engineering fundamentals and system design, and can show strong expertise in one or more systems engineering stacks.
Preferred Qualifications
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 $170,700 and $256,500, 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.
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Salary : $170,700 - $256,500
