Cellular Data Science & Machine Learning Engineer

Cellular Data Science & Machine Learning Engineer

Do you have a passion for invention and self-challenge? Do you thrive with pushing the limits of what’s considered feasible? As part of a world class modem team, you’ll craft sophisticated innovative embedded firmware that deliver more performance in our products than ever before! You’ll work across fields to transform improved hardware elements into a single, coordinated design. Join us, and you’ll help us innovate new wireless systems technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you’ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world. As a Cellular 4G / 5G Firmware Data Science & Machine Learning Engineer, you will be at the center of the embedded 5G / 4G / multimode cellular firmware effort within a silicon design group responsible for crafting and productizing state-of-the-art cellular SoCs!

Description

Data Science & Machine Learning Engineer will be responsible for developing groundbreaking data processing pipeline based on machine learning models and demonstrating data science algorithms to parse extensive data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem. In addition, you will be closely partnering with FW engineering teams in integrating and deploying ML models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with an amazing team, brainstorm new insights, and develop models and algorithms to solve complicated problems that have a meaningful impact.

Minimum Qualifications

• BS and a minimum of 3 years relevant industry experience
• Proficient Python developer with 3+ years proven programming skills using standard ML tools such as PyTorch, Tensorflow, and HuggingFace
• Good understanding of machine learning, deep learning and natural language (including LLMs) processing and ability to optimize machine learning models to adapt to solving various kinds of issues
• Hands on experience in implementing end-to-end machine learning projects
• Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes

Preferred Qualifications

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 $139,500 and $258,100, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

#J-18808-Ljbffr