AIML - ML Engineer, Siri & Information Intelligence
Cupertino, California, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: Apr 30, 2024Weekly Hours: 40
Role Number:200549376
The Siri Conversation Intelligence (SCI) team is crafting groundbreaking technology for large scale systems, spoken language, machine learning, and LLMs to enable better conversational experience with Siri. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to fulfill their requirements and find what they are looking for. As part of the SCI team, you will work with a hard-working team who crafted the intelligent assistant that helps users get things done — just by asking! You'll drive research in deep learning and develop the most sophisticated natural language and conversation understanding systems. You should be passionate about working with software and platform engineers to integrate the models on-device and improve the natural language understanding (NLU) ability of Siri. Excellent interpersonal skills will be required to coordinate work across multiple teams to ship the state-of-the-art technology to production and impact all Siri users.
Key Qualifications
- Proven understanding of machine learning technology, deep learning (including LLMs) and NLU
- 5-10+ years proven programming skills using standard ML tools such as C/C++, Python, PyTorch, Tensorflow, Hugging Face, etc.
- Hands-on experience working (training, fine-tuning, optimizing, deploying) with large models (e.g. LLMs)
- Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency
- Excellent problem-solving (e.g. via building forward-looking prototype systems), critical thinking, strong communication, and collaboration skills
- Publication at top ML/DL/NLP conferences such as NeurIPS, ACL, EMNLP, etc. is a plus!
Description
As a member of this team, you'll develop novel ML/DL models including LLMs for NLU and conversational understanding, work with platform and software engineers to convert and compile the models to run on device and integrate them with runtime systems, optimize latency and performance of the models, and diagnose model errors and perform accuracy hill-climbing for shipped products, etc.
Education & Experience
Master's, or PhD or equivalent experience in Computer Science, Machine Learning or a related field
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 $138,900.00 and $208,300.00, 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.
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.
Tags: Computer Science Deep Learning EMNLP LLMs Machine Learning NeurIPS NLP NLU PhD Python PyTorch Research TensorFlow
Perks/benefits: Career development Conferences Health care Relocation support
Region:
North America
Country:
United States
Job stats:
6
1
0
Categories:
Deep Learning Jobs
Engineering Jobs
Machine Learning Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Engineer II jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Consulting-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs