SonicJobs Logo
Left arrow iconBack to search

Software Development Engineer

Apple
Posted 2 months ago, valid for 11 days
Location

Seattle, WA 98164, US

Salary

$171,600 - $258,100 per year

Contract type

Full Time

By applying, a Sonicjobs account will be created for you. Sonicjobs's Privacy Policy and Terms & Conditions will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.

Sonic Summary

info
  • Apple Inc. is seeking a Machine Learning Engineer in Seattle, Washington, to enhance the Siri virtual assistant's reasoning capabilities.
  • Candidates must have a Master's degree in a relevant field and at least 6 years of experience in machine learning and distributed systems.
  • The role involves developing scalable tooling for large language models and requires proficiency in Python and another object-oriented programming language.
  • The base pay for this position ranges from $171,600 to $258,100 per year, depending on skills and experience.
  • Employees are also eligible for stock options, bonuses, and comprehensive benefits, including medical coverage and educational reimbursement.
Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description


APPLE INC has the following available in Seattle, Washington. Work with machine learning (ML) systems and large language models (LLM) to help build advanced reasoning capabilities for the Siri virtual assistant. Work in a collaborative team of ML engineers, scientists, and software developers focused on LLM planner modeling to build the next generation of the Siri virtual assistant. Develop reliable, scalable tooling for training, simulation, and evaluation of LLMs and agentic systems. Hands-on role to design and run experiments in simulation and integrating client-side components with backend systems into a production-ready testable environment. Work with state-of-the-art technologies that push the boundaries of LLM agent reasoning, system architecture, and rapid iteration. Collaborate closely with ML developers, client-side engineers, and deep learning leaders to bring enhanced LLM reasoning capabilities into production. 40 hours/week. 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 $171,600 - $258,100/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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: https://www.apple.com/careers/us/benefits.html. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Minimum Qualifications


Master’s degree or foreign equivalent in Computer Science, Information Science, Computer Engineering, or related field and 6 years of experience in the job offered or related occupation. 6 years of experience with each of the following skills is required: Using Python and at least one other object-oriented programming language including Java or Swift to build high performance evaluation and simulation frameworks with good fidelity with on-device systems. Designing and building distributed systems for cloud computing. Building end-to-end distributed system architecture spanning iOS client and server-side development. Performing system design, development, testing, debugging, release, and maintenance. Utilizing data engineering workflows and tools including Apache Spark, Iceberg, or Airflow, and large-scale data processing pipelines. Developing long-term strategic visions and execute scalable solutions in fast-paced, agile environments. Building simulation software with expertise in ML frameworks 2 years of experience with the following is required: LLM-based training data generation, model training, and evaluation workflows. Working with agent-based simulation frameworks, Agentic RAG systems, context engineering, and LLM evaluation best practices.

Preferred Qualifications


N/A



Learn more about this Employer on their Career Site

Apply now in a few quick clicks

By applying, a Sonicjobs account will be created for you. Sonicjobs's Privacy Policy and Terms & Conditions will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.