Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...
Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...
As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage ...
As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage ...
Role Overview We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models ...
Role Overview We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models ...
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm ...
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm ...
Machine Learning Engineer
Los Angeles, CA · On-site
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
Machine Learning Engineer
Los Angeles, CA · On-site
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
Role Overview We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models ...
Role Overview We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models ...
As a Machine Learning Engineer, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage cutting ...
As a Machine Learning Engineer, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage cutting ...
Machine Learning Manager
San Francisco, CA · On-site
$180K - $250K/yr
Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...
Machine Learning Manager
San Francisco, CA · On-site
$180K - $250K/yr
Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Expert
Palo Alto, CA · On-site
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm ...
Machine Learning Expert
Palo Alto, CA · On-site
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm ...
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Quick apply
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a ...
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a ...
As a Machine Learning Engineer, you will develop state-of-the-art AI intelligence solutions and collaborate with a team to enhance technology and drive innovation. Responsibilities : • Leverage ...
As a Machine Learning Engineer, you will develop state-of-the-art AI intelligence solutions and collaborate with a team to enhance technology and drive innovation. Responsibilities : • Leverage ...
They are seeking a Machine Learning Engineer to join their Offline Infrastructure team, where the role involves building and evolving infrastructure for training data generation and ML workflows.
They are seeking a Machine Learning Engineer to join their Offline Infrastructure team, where the role involves building and evolving infrastructure for training data generation and ML workflows.
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $280K/yr
About the Role At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We're looking for an ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $280K/yr
About the Role At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We're looking for an ...
Machine Learning Engineer
San Diego, CA · Hybrid
$70 - $95/hr
Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization Responsibilities: * Design, build, and maintain scalable machine learning pipelines supporting model ...
Machine Learning Engineer
San Diego, CA · Hybrid
$70 - $95/hr
Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization Responsibilities: * Design, build, and maintain scalable machine learning pipelines supporting model ...
Machine Learning Engineer
San Diego, CA · Hybrid
$70 - $95/hr
Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization Responsibilities: * Design, build, and maintain scalable machine learning pipelines supporting model ...
Machine Learning Engineer
San Diego, CA · Hybrid
$70 - $95/hr
Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization Responsibilities: * Design, build, and maintain scalable machine learning pipelines supporting model ...
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
Quick apply
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
Machine Learning information
See California salary details
$25.2K - $30.8K
5% of jobs
$32.7K is the 25th percentile. Wages below this are outliers.
$30.8K - $36.4K
59% of jobs
$36.4K - $42K
9% of jobs
$42.4K is the 75th percentile. Wages above this are outliers.
$42K - $47.6K
17% of jobs
$47.6K - $53.2K
4% of jobs
$53.2K - $58.8K
2% of jobs
$58.8K - $64.4K
3% of jobs
$64.4K - $70K
0% of jobs
$70K - $75.6K
0% of jobs
$75.6K - $81.2K
0% of jobs
$81.2K - $86.8K
0% of jobs
$25.2K
$42K
$86.8K
How much do machine learning jobs pay per year?
As of Jul 6, 2026, the average yearly pay for machine learning in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.
What engineer makes $500,000 a year?
Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.
What is a Machine Learning job?
A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.
What are some typical day-to-day responsibilities in a Machine Learning role?
As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
What jobs can I get with machine learning?
With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.
What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?
To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.
Which 3 jobs will survive AI?
Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What are popular job titles related to Machine Learning jobs in California? For Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in California look for? The top searched job categories for Machine Learning jobs in California are:
What cities in California are hiring for Machine Learning jobs? Cities in California with the most Machine Learning job openings:
Apple rating
8.1
Based on 667 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine learning solutions from research and experimentation through to robust, production-grade deployment.
Description
The MLE will collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. This hire will design end-to-end AI/ML solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. You will benchmark, adapt, and integrate AI/ML models into existing systems.
Minimum Qualifications
8 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.
Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.
Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems.
Experience building large-scale machine learning systems using big data technologies such as Spark, SQL, Snowflake, or similar platforms.
Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow or similar.
Experience building and deploying applications using large language models (e.g., GPT-4, Claude, Gemini, or open-source alternatives) via APIs or self-hosted inference.
Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen to build multi-step, tool-augmented AI workflows.
Preferred Qualifications
10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.
Solid understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.
Strong problem-solving skills with the ability to translate ambiguous business problems into well-defined ML solutions.
Excellent cross-functional communication skills with the ability to collaborate effectively across engineering and data science teams.
Familiarity with LLM evaluation practices including output quality assessment, hallucination detection, and latency benchmarking in production environments.
Description
The MLE will collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. This hire will design end-to-end AI/ML solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. You will benchmark, adapt, and integrate AI/ML models into existing systems.
Minimum Qualifications
8 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.
Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.
Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems.
Experience building large-scale machine learning systems using big data technologies such as Spark, SQL, Snowflake, or similar platforms.
Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow or similar.
Experience building and deploying applications using large language models (e.g., GPT-4, Claude, Gemini, or open-source alternatives) via APIs or self-hosted inference.
Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen to build multi-step, tool-augmented AI workflows.
Preferred Qualifications
10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.
Solid understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.
Strong problem-solving skills with the ability to translate ambiguous business problems into well-defined ML solutions.
Excellent cross-functional communication skills with the ability to collaborate effectively across engineering and data science teams.
Familiarity with LLM evaluation practices including output quality assessment, hallucination detection, and latency benchmarking in production environments.
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