Urgent! Cellular Data Science & Machine Learning Engineer Job Opening In San Diego – Now Hiring Apple
**Role Number:** 200626568-3543
**Summary**
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 best-in-class modem team, you’ll craft sophisticated, innovative embedded firmware that delivers more performance in our products than ever before.
You’ll work across teams to transform improved hardware elements into a single, integrated design.
Join us, and you’ll help us innovate new wireless system 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! Do you want to have an impact on every single Apple product?
**Description**
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 designing and productizing pioneering cellular SoCs.
**Minimum Qualifications**
+ BS and a minimum of 3 years relevant industry experience
+ Proficient Python developer with proven programming skills using standard ML tools such as PyTorch, Tensorflow, HuggingFace, etc.
+ 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
+ Experience in fine tuning LLM model with SFT, LoRA and other techniques
+ Proven knowledge of reinforcement learning with experience in employing PPO/DPO/GRPO to enhance LLM model performance
+ Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and the reduction of manual processes
**Preferred Qualifications**
+ Ph.D. degree in machine learning, data science or computer science
+ Proficient Python developer with 5+ years proven programming skills using standard ML tools such as PyTorch, Tensorflow, HuggingFace, etc.
+ Solid 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
+ Have a deep understanding of reinforcement learning with experience in employing PPO/DPO/GRPO to enhance LLM model performance
+ Experience in fine tuning LLM model with SFT, LoRA and other techniques
+ Experience in developing machine learning models and /or deep learning models, feature engineering, and rich experience in implementing end-to-end machine learning projects
+ Experience in applying analytics and statistical methods to transform data into useful insights and actionable results
+ Experience with relational database (e.g Postgres), SQL and non-relational database (e.g. MongoDB)
+ Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes
+ Strong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies
**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 $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.
(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) .
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Cellular Data Potential: Insight & Career Growth Guide
Real-time Cellular Data Jobs Trends in San Diego, 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 Data in San Diego, 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 45082 jobs in United States and 1638 jobs in San Diego. This comprehensive analysis highlights market share and opportunities for professionals in Cellular Data 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 Data Science & Machine Learning 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 Data Science & Machine Learning Engineer Jobs San Diego.
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 Data Science & Machine Learning Engineer Jobs United States varies, but the pay scale is rated "Standard" in San Diego. 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.
Key qualifications for Cellular Data Science & Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Cellular Data Science & Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Cellular Data Science & Machine Learning Engineer interview at Apple, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Cellular Data Science & Machine Learning Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!