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Machine Learning Algorithms Jobs in California (NOW HIRING)

Design and implement state-of-the-art machine learning algorithms for processing multimodal biosignals, including time series, spatial, and spectral data. * Build and optimize neural network ...

Design and implement state‑of‑the‑?? machine learning algorithms for processing multimodal biosignals, including time series, spatial, and spectral data. * Build and optimize neural network ...

Showing results 41-60

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?

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 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 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.

What careers are there in machine learning algorithms?

Careers in machine learning algorithms include roles such as machine learning engineer, data scientist, research scientist, and AI developer. These positions typically require skills in programming, statistics, and familiarity with tools like Python, TensorFlow, or PyTorch, and often involve developing models, analyzing data, and deploying AI solutions.
Infographic showing various Machine Learning Algorithms job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Display Algorithm Engineer / Machine Learning Engineer

Apple, Inc.

San Francisco, CA • On-site

Other

Posted 11 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

The Display Intelligence team in the Visual Experience & Incubation organization has worked on color calibrations including gray tracking, gamma cal, uniformity, primary, as well as display features such as True Tone, ambient light sensor confidence estimator, Auto Brightness, spatial computing display interplay and many other novel features to enable the best front-of-screen user experience. Many new display technologies bring ever evolving challenges in imaging & sensing, requires innovations in signal and image processing, color imaging and machine learning algorithms. The expanding Apple product lines also create exciting opportunities for novel display prototypes and productization to deliver the best ecosystem experience.
Description
We are looking for passionate scientists and engineers that have strong background in signal and image processing, color imaging, and machine learning.
Minimum Qualifications
Bachelors Degree in Science, Technology, Engineering or equivalent, 10+ years of experience in imaging or machine learning.
Strong hands-on skill on ML algorithm development.
Solid background in signal and image processing or color imaging.
Experience with Python, including familiarity with crucial package such as PyTorch, Tensorflow etc.
Preferred Qualifications
M.S./PhD in Science, Technology, Engineering (e.g. Color and/or Imaging Science, Computer Science, Electrical Engineering) or equivalent field and 5+ years of relevant experience
Familiarity with agentic AI technology and applications
Exceptional written and verbal communication skills, especially in the communication of technical concepts to a cross-functional team as well as leadership
Proven ability to work collaboratively within a large group of engineers
Proactive, self-motivated engineer who can take the initiative and lead improvement, drive & meet key project targets

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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