Description

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.

Responsibilities

• Data Science & Machine Learning Engineer will be responsible for developing pioneering data processing pipeline based on machine learning models and leveraging data science algorithms to parse massive data and logs in timely manner to automatically solve the issues or provide recommendations for the next step of solving the 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 the entire automation system to deliver analysis results to benefit FW engineers in debugging issues.
• You will work with amazing team, brainstorm new insights, and develop models and algorithms to solve problems that have a substantial impact.

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.

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 .