Urgent! Cellular Machine Learning Software Engineer Job Opening In San Francisco – Now Hiring Apple
**Weekly Hours:** 40
**Role Number:** 200622017-3401
**Summary**
Join the Wireless Technologies and Ecosystems team and be part of an elite team of engineers, working with multi-functional teams to drive innovation and develop products used by millions worldwide.
We are looking for a highly technical individual who can excel in a fast-paced environment.
Be ready to make something extraordinary when you come here.
Industry-defining technologies are the norm at Apple.
People who work here have reinvented and defined entire industries with our products and services.
The same real passion for innovation also applies to our business practices - strengthening our dedication to leave the world better than we found it.
You should join Apple if you want to help deliver the next amazing Apple product.
**Description**
Apple’s Cellular Software team is seeking talented and highly motivated engineers to work across layers on groundbreaking cellular technologies.
The position involves identifying and developing Artificial Intelligence (AI) / Machine Learning (ML) solutions to augment and enhance core cellular technologies for our iPhone, iPad, Watch and other wireless product lines.
We are passionate about keeping our users connected anytime wherever they go with industry-best user experience.
This team takes pride in not just coming up with proven software designs but also in disrupting traditional models of the cellular ecosystem.
We do whatever it takes to bring user experience to the next level.
Are you passionate about applying AI/ML to enable groundbreaking cellular technologies?
Then we are looking for you.
In this role you will be a key member of the Cellular SW AIML team with following responsibilities.
**Minimum Qualifications**
+ Bachelor's degree in Computer Science, Electrical Engineering, or equivalent majors.
+ 3+ years industry experience in researching and developing AI / machine learning solutions for commercial products.
+ Experience in supervised and unsupervised learning methods.
+ Expertise in implementing different Machine Learning algorithms, one or more of Deep Learning, Reinforcement Learning, Tree-based models, Graphical Models, RNN/LSTM, Transformers.
+ Experience building machine learning models trained on large datasets making use of industry-grade data & training pipelines.
+ Good understanding of algorithm complexity and experience in carrying out performance vs.
complexity trade-off analysis.
+ Strong proficiency in Python and ML frameworks (e.g., PyTorch or TensorFlow) for data pre-processing, ML model training, and hyper parameter tuning.
**Preferred Qualifications**
+ Master's or PhD degree in Computer Science, Electrical Engineering, or equivalent majors.
+ Hands-on work with LLMs including experience building or fine-tuning LLMs for software engineering tasks is a plus.
+ Understanding of prompt engineering, and retrieval-augmented generation (RAG) is a plus.
+ Familiarity with current generative AI ecosystem (e.g. ChatGPT, Claude) and experience with using LLMs for tools and workflows is a plus.
+ Research and publication history in the AI/ML field (e.g., ICLR, NeurIPS, CVPR, ICCV/ECCV, industry lab publications).
+ Ability to communicate effectively, both written and verbal, with cross-functional teams.
**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 $147,400 and $272,100, 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.
(https://www.apple.com/careers/us/benefits.html)
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your Cellular Machine Potential: Insight & Career Growth Guide
Real-time Cellular Machine Jobs Trends in San Francisco, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Cellular Machine in San Francisco, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 8746 jobs in United States and 407 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in Cellular Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a Cellular Machine Learning Software Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Cellular Machine Learning Software Engineer Jobs San Francisco.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Cellular Machine Learning Software Engineer Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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Before the Interview:To prepare for your Cellular Machine Learning Software Engineer interview at Apple, research the company, understand the job requirements, and practice common interview questions.
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