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Machine Learning Algorithms Jobs in California (NOW HIRING)

Motorola

Machine Learning Engineer

Los Angeles, CA

Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum ...

Apple

Machine Learning/Computer Vision Engineer

Sunnyvale, CA · On-site

$130K - $154K/yr

Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans ...

Motorola

Machine Learning Engineer

Los Angeles, CA

Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum ...

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Machine Learning Algorithms information

What are machine learning algorithms?

Machine learning algorithms are computational methods that enable computers to learn patterns and make decisions or predictions from data without being explicitly programmed for each task. These algorithms can be classified into categories such as supervised learning, unsupervised learning, and reinforcement learning, each suited for different data and goals. Examples include decision trees, support vector machines, neural networks, and clustering algorithms. The choice of algorithm depends on the type of problem, the nature of the data, and the desired outcome.

What are the key skills and qualifications needed to thrive as a Machine Learning Algorithms Engineer, and why are they important?

To excel as a Machine Learning Algorithms Engineer, you need a solid background in mathematics, statistics, programming (especially Python or R), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow, PyTorch, or scikit-learn), data preprocessing tools, and cloud platforms is typically required, along with knowledge of version control systems. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These skills and qualities are critical for designing robust models, collaborating with cross-functional teams, and translating complex data into actionable solutions.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, including base pay, bonuses, and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of successful projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI specialists are likely to continue thriving as AI advances because they develop, interpret, and improve AI systems. These roles require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and staying updated with new tools like TensorFlow or PyTorch are essential for these jobs.

What is the difference between Machine Learning Algorithms vs Data Scientists?

AspectMachine Learning AlgorithmsData Scientists
CredentialsKnowledge of algorithms, programming, statisticsAdvanced degrees in data science, statistics, or related fields
Work EnvironmentDeveloping, testing, and tuning algorithmsAnalyzing data, building models, interpreting results
Industry UsageEmbedded within data science workflows and toolsLeading data analysis projects, decision-making

While machine learning algorithms are the core tools used by data scientists, the role of a data scientist encompasses understanding, applying, and interpreting these algorithms within broader data analysis and business contexts. Machine learning algorithms are technical components, whereas data scientists integrate these tools to derive insights and inform strategies.

Is ML a high paying job?

Machine Learning (ML) jobs are generally well-paid due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but many ML roles offer competitive compensation compared to other tech positions.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in algorithms, data science, and deep learning. These positions usually involve leadership responsibilities, extensive experience, and may be located in competitive tech hubs or large organizations with substantial AI investments.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning Algorithms specialist?

As a Machine Learning Algorithms specialist, collaborating with cross-functional teams such as data engineers, software developers, and product managers can present challenges like aligning on project goals, communicating complex technical concepts to non-experts, and integrating models into existing systems. It's important to establish clear communication channels, define shared objectives early, and actively participate in iterative feedback cycles. These practices help ensure that machine learning solutions are both technically sound and aligned with business needs.
What are popular job titles related to Machine Learning Algorithms jobs in California? For Machine Learning Algorithms jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Algorithms jobs in California look for? The top searched job categories for Machine Learning Algorithms jobs in California are:
Machine Learning Algorithms jobs near you
Machine Learning/Computer Vision Engineer - Senior

Machine Learning/Computer Vision Engineer - Senior

Apple

Sunnyvale, CA • On-site

$143K - $189K/yr

Full-time

Posted 22 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.
We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.
5+ years of experience working on ML projects for 3D computer vision or graphics applications.Strong software engineering skills and proficiency in Python and PyTorch.Comprehensive understanding of diffusion models, transformers and auto-encoders.Capable of making well-informed and practical decisions in a rapidly evolving environment.BA degree in computer vision, computer graphics, machine learning or related field.
Good software engineering skills and proficiency in C/C++.MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering orrelated fields.Excellent communication and experience working with multi-functional teams.Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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