We're looking for passionate junior and mid-level researchers to work on ambitious curiosity-driven ... You have a strong research background in machine learning or related fields, and regularly publish ...
We're looking for passionate junior and mid-level researchers to work on ambitious curiosity-driven ... You have a strong research background in machine learning or related fields, and regularly publish ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others * You know the ins and outs of Python, especially as it ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others * You know the ins and outs of Python, especially as it ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others * You know the ins and outs of Python, especially as it ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others * You know the ins and outs of Python, especially as it ...
Software Engineer, Machine Learning
Bodega Bay, CA · On-site
$135K - $200K/yr
At least 2 years of industry experience in building and deploying production-level machine learning models. * Deep understanding and practical experience with NLP techniques and frameworks, including ...
Quick apply
Software Engineer, Machine Learning
Bodega Bay, CA · On-site
$135K - $200K/yr
At least 2 years of industry experience in building and deploying production-level machine learning models. * Deep understanding and practical experience with NLP techniques and frameworks, including ...
Machine Learning Engineer
Carlsbad, CA · On-site
Design tools and interfaces for interactive machine learning and teaching. * Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in ...
Machine Learning Engineer
Carlsbad, CA · On-site
Design tools and interfaces for interactive machine learning and teaching. * Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in ...
Design tools and interfaces for interactive machine learning and teaching. * Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in ...
Design tools and interfaces for interactive machine learning and teaching. * Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in ...
Software Engineer, Machine Learning
San Francisco, CA · On-site
$135K - $200K/yr
At least 2 years of industry experience in building and deploying production-level machine learning models. * Deep understanding and practical experience with NLP techniques and frameworks, including ...
Software Engineer, Machine Learning
San Francisco, CA · On-site
$135K - $200K/yr
At least 2 years of industry experience in building and deploying production-level machine learning models. * Deep understanding and practical experience with NLP techniques and frameworks, including ...
Software Engineering Lead, Machine Learning
Bodega Bay, CA · On-site
$135K - $300K/yr
Proven industry experience in building and deploying production-level machine learning models. * Deep understanding and practical experience with NLP techniques and frameworks, including training and ...
Quick apply
Software Engineering Lead, Machine Learning
Bodega Bay, CA · On-site
$135K - $300K/yr
Proven industry experience in building and deploying production-level machine learning models. * Deep understanding and practical experience with NLP techniques and frameworks, including training and ...
AIML - Machine Learning Researcher, MLR
$147K - $272K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven ...
AIML - Machine Learning Researcher, MLR
$147K - $272K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven ...
Software Engineering Lead, Machine Learning
San Francisco, CA · On-site
$135K - $300K/yr
Proven industry experience in building and deploying production-level machine learning models. * Deep understanding and practical experience with NLP techniques and frameworks, including training and ...
Software Engineering Lead, Machine Learning
San Francisco, CA · On-site
$135K - $300K/yr
Proven industry experience in building and deploying production-level machine learning models. * Deep understanding and practical experience with NLP techniques and frameworks, including training and ...
AIML - Machine Learning Researcher, MLR
Cupertino, CA · On-site
$147K - $272K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven ...
AIML - Machine Learning Researcher, MLR
Cupertino, CA · On-site
$147K - $272K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven ...
AIML - Machine Learning Researcher, MLR
$212K - $386K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven ...
AIML - Machine Learning Researcher, MLR
$212K - $386K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven ...
AIML - Machine Learning Researcher, MLR
$147K - $272K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate mid-level and senior researchers to work on ambitious curiosity-driven ...
AIML - Machine Learning Researcher, MLR
$147K - $272K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate mid-level and senior researchers to work on ambitious curiosity-driven ...
AIML - Machine Learning Researcher, MLR
Cupertino, CA · On-site
$147K - $272K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate junior and mid-level researchers to work on ambitious curiosity-driven ...
AIML - Machine Learning Researcher, MLR
Cupertino, CA · On-site
$147K - $272K/yr
Play a part in building the next revolution of machine learning technology ... We're looking for passionate junior and mid-level researchers to work on ambitious curiosity-driven ...
... in mid-2026. Responsibilities and Expectations * Designing Model Architectures: Core work on ... Able to handle and protect proprietary technology and strategies with the highest level of ...
... in mid-2026. Responsibilities and Expectations * Designing Model Architectures: Core work on ... Able to handle and protect proprietary technology and strategies with the highest level of ...
Machine Learning Engineer
San Francisco, CA · On-site
$225K - $300K/yr
Mid-training and post-training of foundation models * Novel objectives derived from longitudinal ... We are primarily hiring for senior and staff-level engineers who are comfortable owning critical ...
Machine Learning Engineer
San Francisco, CA · On-site
$225K - $300K/yr
Mid-training and post-training of foundation models * Novel objectives derived from longitudinal ... We are primarily hiring for senior and staff-level engineers who are comfortable owning critical ...
Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML techniques to solve large-scale, real-world problems * Own the full ML lifecycle ...
Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML techniques to solve large-scale, real-world problems * Own the full ML lifecycle ...
Machine Learning Engineer Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress ...
Machine Learning Engineer Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress ...
Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML techniques to solve large-scale, real-world problems * Own the full ML lifecycle ...
Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML techniques to solve large-scale, real-world problems * Own the full ML lifecycle ...
Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML techniques to solve large-scale, real-world problems * Own the full ML lifecycle ...
Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML techniques to solve large-scale, real-world problems * Own the full ML lifecycle ...
Mid Level Machine Learning Teaching information
What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?
| Aspect | Mid Level Machine Learning Teaching | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, ML, or related; teaching experience | Bachelor's or Master's in CS, Data Science, or related; often requires experience |
| Work Environment | Educational institutions, online platforms, corporate training | Tech companies, finance, healthcare, research labs |
| Employer & Industry Usage | Educational and training sectors, universities, online education | Private sector, industry-specific applications, research |
| Common Search & Comparison Intent | Understanding teaching roles in ML, educational careers | Data analysis, modeling, industry applications |
Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.
What are the most commonly searched types of Machine Learning Teaching jobs in California? The most popular types of Machine Learning Teaching jobs in California are:
What are popular job titles related to Mid Level Machine Learning Teaching jobs in California? For Mid Level Machine Learning Teaching jobs in California, the most frequently searched job titles are:
What job categories do people searching Mid Level Machine Learning Teaching jobs in California look for? The top searched job categories for Mid Level Machine Learning Teaching jobs in California are:
What cities in California are hiring for Mid Level Machine Learning Teaching jobs? Cities in California with the most Mid Level Machine Learning Teaching job openings:
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Play a part in building the next revolution of machine learning technology. We're looking for passionate junior and mid-level researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. ..As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues...
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will advance the frontier of machine learning through a combination of self-directed research - proposing your own research ideas and demonstrating their feasibility, and collaborative research working with your colleagues on larger problems, sharing implementation and experimentation. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
Demonstrated expertise in machine learning research working on at least some of the following topics - Reinforcement Learning, LLMs training, LLMs test-time adaptation/scaling, Reasoning/Planning, Diffusion Language Models, Audio Generative/Recognition Models, and Multimodal generative models.Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc)Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch. Strong mathematical skills in linear algebra and statistics.
Ability to formulate a research problem, design, experiment, implement and communicate solutions.Ability to work in a diverse collaborative environment.PhD, or equivalent practical experience, in Computer Science, or related technical field.Hands on experience on at least some of the following: Torch Titan or Lingua, Sharded models, FSDP, DDP, fine-tuning pipelines for common models such as Llama, Mixtral, etc
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will advance the frontier of machine learning through a combination of self-directed research - proposing your own research ideas and demonstrating their feasibility, and collaborative research working with your colleagues on larger problems, sharing implementation and experimentation. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
Demonstrated expertise in machine learning research working on at least some of the following topics - Reinforcement Learning, LLMs training, LLMs test-time adaptation/scaling, Reasoning/Planning, Diffusion Language Models, Audio Generative/Recognition Models, and Multimodal generative models.Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc)Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch. Strong mathematical skills in linear algebra and statistics.
Ability to formulate a research problem, design, experiment, implement and communicate solutions.Ability to work in a diverse collaborative environment.PhD, or equivalent practical experience, in Computer Science, or related technical field.Hands on experience on at least some of the following: Torch Titan or Lingua, Sharded models, FSDP, DDP, fine-tuning pipelines for common models such as Llama, Mixtral, etc
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