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Apple Cellular 4G/5G Firmware Data Science & Machine Learning Engineer United States, California, San Diego 976591430
25.07.2024
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Description
Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial 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 significant impact.
Minimum Qualifications
- Master’s degree in Data Science or Computer Science
- Proficient Python developer with 3+ years proven programming skills using standard ML tools such as PyTorch, Tensorflow, HuggingFace
- Good understanding of machine learning, deep learning (including LLMs) and natural language 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
- Ph.D. degree in Data Science or Computer Science
- Proficient Python developer with 5+ years validated programming skills using standard ML tools such as PyTorch, Tensorflow, HuggingFace
- Proven understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues
- 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 using 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.Mango DB)
- Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes
- Strong critical thinking and interpersonal 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 $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.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 take affirmative action to ensure 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.
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