Machine Learning Engineer

Job Summary
:
Apple is a place where extraordinary people gather to do their lives best work, and they are seeking a Machine Learning Engineer to engage with research teams and lead software engineering features. The role involves incorporating the latest developments in Machine Learning technology, mentoring engineers, and collaborating with multiple teams to enhance speech recognition models.

Responsibilities
:

• Engage with research teams to map out technology roadmaps including external partners like AWS.

• Write software to incorporate the latest developments in open-source Machine Learning technology and make it accessible to speech researchers at Apple.

• Lead weekly syncs with research and engineering teams on challenges and future directions.

• Mentor engineers and researchers on best software engineering practices through code reviews and discussions.

• Scope out, plan, and lead major software engineering features with a one-year time horizon.

• Lead weekly meetings with multiple contributors and stakeholders to ensure project stays on track.

• Leverage deep understanding of Software Engineering, Machine Learning, and Speech Processing to suggest new directions to take to leadership and partner teams.

• Make technical recommendations and help team implement Machine Learning tools and pipelines that incorporate best practices for preserving customer privacy during training and evaluation of speech recognition models.

• Work with partner teams to troubleshoot and fix tools and infrastructure used by speech researchers to unblock work and serve as a technical liaison between multiple engineering teams at Apple and Speech Recognition researchers.

Qualifications
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Required
:

• Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Software Engineering, Machine Learning or related field and 1 year of experience in the job offered or related occupation.

• 1 year of experience with applying Machine Learning and Artificial Concepts including neural networks, conformers, and transformers to improve speech recognition models.

• 1 year of experience with using Machine Learning toolkits, including PyTorch and experience optimizing models for faster computation.

• 1 year of experience with leveraging GPUs in distributed workloads for machine learning tasks to train large, highly accurate machine learning models while using GPU resources efficiently to allow more research ideas and improve models for customers faster.

• 1 year of experience utilizing Python for software engineering tasks.

• 1 year of experience managing large Python codebase with more than ten contributors.

• 1 year of experience managing machine learning projects with interdisciplinary teams including researchers, engineers, and linguists to improve models for customers.

• 1 year of experience using speech understanding and speech concepts for all products and languages including a variety of acoustic environments and accents.

• 1 year of experience utilizing technical knowledge and distilling requirements to work with infrastructure partner teams internally and externally.

Company
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Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, USA, with a team of 10001+ employees. The company is currently Late Stage.