We are committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. We truly believe in the power of predictive ...
We are committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. We truly believe in the power of predictive ...
Machine Learning Engineer
Palo Alto, CA · On-site
As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...
Machine Learning Engineer
Palo Alto, CA · On-site
As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing ...
Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing ...
Quick apply
Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing ...
Machine Learning Inference Engineer
San Francisco, CA · On-site
$200K - $250K/yr
Title: Machine Learning Inference Engineer Location: San Francisco, CA - Hybrid Salary: $200K-$250K + Equity A rapidly growing AI startup is hiring a Machine Learning Inference Engineer to help ...
Machine Learning Inference Engineer
San Francisco, CA · On-site
$200K - $250K/yr
Title: Machine Learning Inference Engineer Location: San Francisco, CA - Hybrid Salary: $200K-$250K + Equity A rapidly growing AI startup is hiring a Machine Learning Inference Engineer to help ...
Machine Learning Inference Engineer
San Francisco, CA · On-site
$200K - $250K/yr
Title: Machine Learning Inference Engineer Location: San Francisco, CA - Hybrid Salary: $200K-$250K + Equity A rapidly growing AI startup is hiring a Machine Learning Inference Engineer to help ...
Machine Learning Inference Engineer
San Francisco, CA · On-site
$200K - $250K/yr
Title: Machine Learning Inference Engineer Location: San Francisco, CA - Hybrid Salary: $200K-$250K + Equity A rapidly growing AI startup is hiring a Machine Learning Inference Engineer to help ...
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Quick apply
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Machine Learning Engineer
San Mateo, CA · On-site
We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...
Machine Learning Engineer
San Mateo, CA · On-site
We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...
Machine Learning Engineers
$136K - $280K/yr
Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to ...
Machine Learning Engineers
$136K - $280K/yr
Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to ...
As a Machine Learning Engineer in OpenAI's Integrity team, you will design and deploy advanced machine learning models, collaborate with cross-functional teams, and optimize models to ensure they ...
As a Machine Learning Engineer in OpenAI's Integrity team, you will design and deploy advanced machine learning models, collaborate with cross-functional teams, and optimize models to ensure they ...
Machine Learning Engineer
San Francisco, CA · On-site
$100K - $150K/yr
The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the ...
Machine Learning Engineer
San Francisco, CA · On-site
$100K - $150K/yr
The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the ...
Machine Learning Engineer (Remote)
South San Francisco, CA · On-site +1
$55 - $73/hr
Machine Learning Engineer (Contract) Pay rate: $55-73/hr+ (Depends on experience) Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours. Duration: Through Dec ...
Machine Learning Engineer (Remote)
South San Francisco, CA · On-site +1
$55 - $73/hr
Machine Learning Engineer (Contract) Pay rate: $55-73/hr+ (Depends on experience) Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours. Duration: Through Dec ...
This role We're looking for a machine learning engineers who can work on large-scale image and video models training experiments. What you'll do * Train foundation diffusion models for image and ...
This role We're looking for a machine learning engineers who can work on large-scale image and video models training experiments. What you'll do * Train foundation diffusion models for image and ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
The Machine Learning Engineer will be responsible for scaling models, building training infrastructure, and ensuring reproducibility across large-scale biological datasets while collaborating with ...
The Machine Learning Engineer will be responsible for scaling models, building training infrastructure, and ensuring reproducibility across large-scale biological datasets while collaborating with ...
Machine Learning Scientist
San Francisco, CA · On-site
$180K - $270K/yr
About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a ...
Machine Learning Scientist
San Francisco, CA · On-site
$180K - $270K/yr
About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$140K - $190K/yr
As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$140K - $190K/yr
As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...
As a Machine Learning Engineer, you will shape the technical direction of the company by automating the ML life-cycle and engaging directly with customers while contributing to the architectural ...
As a Machine Learning Engineer, you will shape the technical direction of the company by automating the ML life-cycle and engaging directly with customers while contributing to the architectural ...
They are seeking a Machine Learning Engineer to train and deploy critical models for their core product, focusing on interpreting unstructured data and improving model performance. Responsibilities ...
They are seeking a Machine Learning Engineer to train and deploy critical models for their core product, focusing on interpreting unstructured data and improving model performance. Responsibilities ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
Weekend Machine Learning information
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Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
Imagine what you can do here! We are committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. We truly believe in the power of predictive simulation to make the impossible possible, transform industries and improve people's lives. As a member of the Product Design FEA team, you will play a pivotal role in developing innovative machine learning technologies and directly impact the success of new iPhone, iPad, Mac, Apple Watch, Vision Pro and many more future products. Come join us and put a dent in the universe!
Description
As a core member of the product design team, you will be responsible for developing and implementing ground-breaking machine learning methods that are based on predictive finite element simulations and important design load cases. The machine learning models will drive rapid design iterations by assessing potential risks and optimizing design trade-offs. You will be fully integrated with the product design team from the earliest stages to engineer ground breaking products.
Minimum Qualifications
Strong Expertise in Machine Learning, Deep Learning, and Optimization
Knowledges of Finite Element Analysis and/or other numerical methods in computational physics and mechanics
Proficiency in Python and relevant packages for ML
Outstanding communication skills
Passion for creating innovative, high-quality products
Desire to work in a fast-paced environment with passion for creating cutting edge products
M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience
Preferred Qualifications
Strong expertise in GNNs, CNNs, and transformer-based architectures
Implement and optimize these models for large-scale datasets on scalable ML platforms
Ability to work independently in white space and deal with an incredible fast-paced environment
Excellent cross-functional collaboration and written and verbal communication skills
Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline
Publications in top journals or conferences
Description
As a core member of the product design team, you will be responsible for developing and implementing ground-breaking machine learning methods that are based on predictive finite element simulations and important design load cases. The machine learning models will drive rapid design iterations by assessing potential risks and optimizing design trade-offs. You will be fully integrated with the product design team from the earliest stages to engineer ground breaking products.
Minimum Qualifications
Strong Expertise in Machine Learning, Deep Learning, and Optimization
Knowledges of Finite Element Analysis and/or other numerical methods in computational physics and mechanics
Proficiency in Python and relevant packages for ML
Outstanding communication skills
Passion for creating innovative, high-quality products
Desire to work in a fast-paced environment with passion for creating cutting edge products
M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience
Preferred Qualifications
Strong expertise in GNNs, CNNs, and transformer-based architectures
Implement and optimize these models for large-scale datasets on scalable ML platforms
Ability to work independently in white space and deal with an incredible fast-paced environment
Excellent cross-functional collaboration and written and verbal communication skills
Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline
Publications in top journals or conferences
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976