Machine Learning Application Engineer, Employee Experience & Productivity Austin,Texas,United States Software and Services Imagine what you could do here… At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. What inspires you? Creating something new and finding solutions to complex problems? Bring passion and dedication to your job and there’s no telling what you could accomplish. IS&T Corporate Systems team is looking for a creative and motivated Software Engineer with excellent problem solving and interpersonal skills. The work we do here has a large impact on Apple, from enabling our internal businesses to do their best work, to providing rich, highly usable experiences to our customers and partners. Our teams foster a collaborative environment with creative, smart & fun people using state of the art technologies. Engineering excellence is expected. Come join us for this once in a lifetime opportunity in building solutions for Apple that has worldwide impact. **Description** As a Software Engineer you will be responsible in building the next generation of intelligent systems for Apple’s corporate applications. You will work in a dynamic environment to take an ideation to implementation in a multi-functional environment. The ideal candidate will be self-motivated, pro-active and solution oriented. Attention to detail and dedication to providing a high-quality, stable delivery are essential. You will be challenged to find creative solutions to technical problems, feel comfortable working with complex systems and large data sets, collaborating in a team environment. We promote innovation to improve our product performance and stay deeply focused on delighting our users. **Minimum Qualifications** + 4+ years of professional experience as a Software Engineer in AI or ML Platforms. + 4+ years of professional experience API development for serving generative models using Java, Springboot framework. + Prior experience of working with machine learning & LLMs. + 4+ years of professional experience in developing data pipelines and working with streaming data processing frameworks like Apache Kafka, Flink, or Spark. + Bachelor’s degree in Computer Science or equivalent work experience. **Key Qualifications** **Preferred Qualifications** + Proficiency in programming languages such as Java, Python or R. + Knowledge of data engineering principles, including data preprocessing, ETL processes, and tools. + Proven track record of working on AI/ML projects from conception to deployment. + Prior experience with prompt engineering and vector embeddings. + Knowledge of LLM model architectures - GPT, BERT. + Experience interfacing with ML Platform team utilizing and integrating ML APIs with applications. + Familiarity with ML libraries and frameworks, including TensorFlow, PyTorch, Pandas, and Scikit-learn. + Understanding of RAG and graph-based RAG methodologies. + Skills in rapid prototyping and experimentation with generative models. + Experience in performance optimization, particularly in enhancing model performance and inference speed for real-time applications+ Understanding of RAG and graph-based RAG methodologies. + Skills in rapid prototyping and experimentation with generative models. + Experience in performance optimization, particularly in enhancing model performance and inference speed for real-time applications. **Education & Experience** **Additional Requirements** + 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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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