ML Data and Search Engineer - SPG

Key Skills

Apache Kafka, AWS, Azure, Database, Elasticsearch, Linux Operating system, Presto, Spark-SQL, SQL

Job Description

Play a role in bringing autonomous technologies to the real world. As an engineer in the Special Projects Group, you will be part of a team building infrastructure, models, and tools for new technologies that will shape the future. We are looking for an experienced and highly motivated engineer to help build the next generation of data processing, modeling, and search systems. In this team, you will have the opportunity to explore and prototype solutions using the latest technologies, and engineer software products that help accelerate the development of cutting-edge autonomous systems.

Key Qualifications

• Experience working with large/distributed datasets and non-/relational databases
• Strong software engineering skills in complex, multi-language systems; fluency in Python
• Experience working with cloud data processing technologies (AWS, Spark, Elasticsearch, SQL, Presto, etc)
• Experience working with non-standard data types (e.g. camera imagery, serialized formats, bonus: ROS bags or similar)
• Knowledge of data mining, statistical modeling, and machine learning methodologies
• Ability to thrive in a fast-paced work environment
• Clear and concise written and verbal communication skills

Description

You will be building and integrating end-to-end data processing pipelines. You will contribute to developing a compelling and intuitive platform for introspecting and analyzing large datasets. You will work cross-functionally with specialists across robotics, high-performance computing, and machine learning to build data-driven solutions.

• Develop and scale data processing pipelines using the latest open-source technologies
• Develop novel analytical strategies to evaluate the data that an autonomous system both consumes and produces
• Work on applied ML solutions in the areas of data mining, modeling, and forecasting
• Be self-motivated in seeking solutions when the correct path isn’t always known
• Mentor fellow engineers in your areas of expertise; contribute to a team culture that values effective collaboration, direct communication, technical perfection, and innovation
• Influence and lead cross-functional initiatives that will align the project toward data-driven decision making

Education & Experience

• MS/PhD or equivalent experience in physical sciences, computer science, data science/machine learning, or other engineering background
• 3+ years industry experience

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 $138,900 and $256,500, 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.