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Algorithms Jobs in California (NOW HIRING)

Toyon

Algorithm Developer

Goleta, CA

$120K - $200K/yr

Experience developing and testing algorithms for processing real-world image or radar data is strongly desired. Experience with wave physics (RF, acoustic, optical) is strongly desired. WE OFFER AN ...

Applied Materials

Algorithm Developer

Santa Clara, CA · On-site

$131K - $180K/yr

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform algorithmic C&F for an algorithmic feature, including problem analysis, data gathering, literature ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · On-site

$114K - $156K/yr

Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity, computationally-efficient hardware models. * Contribute to silicon bring-up, debugging, and ...

Amat

Algorithm Developer

Santa Clara, CA · On-site +1

$184K - $253K/yr

Evaluate and develop algorithms in computer vision and machine learning/deep learning for defect detection, defect classification, metrology, and image analysis. * Prototype innovative algorithmic ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · On-site

$114K - $156K/yr

Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity, computationally-efficient hardware models. * Contribute to silicon bring-up, debugging, and ...

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Algorithms information

See California salary details

$65.1K

$132.4K

$189K

How much do algorithms jobs pay per year?

As of Jun 19, 2026, the average yearly pay for algorithms in California is $132,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,204.00 and $156,676.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithms are fundamental to many jobs in technology, data science, software engineering, and artificial intelligence. Professionals in these roles develop, analyze, and implement algorithms to solve problems, optimize processes, and create software solutions, often using programming languages like Python, Java, or C++. Knowledge of data structures, mathematical concepts, and coding skills are essential in these fields.

What is the job of an algorithm?

The job of an algorithm is to provide a step-by-step procedure for solving a specific problem or performing a task efficiently. In programming and data analysis, algorithms are used to process data, make decisions, and optimize outcomes, often requiring knowledge of coding languages and logical thinking.

What is the difference between Algorithms vs Data Analysts?

AspectAlgorithmsData Analysts
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, research labs, software developmentBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed to develop models, optimize processes, and automate tasksUsed to interpret data, generate reports, and support decision-making

Algorithms focus on designing step-by-step procedures for problem-solving and are essential in software development and AI. Data Analysts interpret and visualize data to help organizations make informed decisions. While both roles work with data, algorithms are more technical and programming-intensive, whereas data analysts focus on data interpretation and reporting.

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

To thrive as an Algorithms Engineer, you need a strong background in computer science, mathematics, and data structures, typically supported by a relevant degree. Familiarity with programming languages like Python or C++, version control systems, and algorithm analysis tools is essential. Strong analytical thinking, problem-solving ability, and effective communication skills set exceptional candidates apart. These competencies are crucial for designing efficient solutions, optimizing performance, and collaborating effectively within technical teams.

What are algorithms in the context of computer science jobs?

Algorithms are step-by-step procedures or sets of rules designed to solve specific problems or perform tasks, commonly used in computer science for data processing, calculation, and automated reasoning. Professionals who work with algorithms develop, analyze, and optimize these procedures to improve the efficiency and effectiveness of software and systems. Understanding algorithms is crucial for roles like software engineers, data scientists, and researchers, as it enables them to create solutions that are both correct and efficient.

What jobs pay 500,000 a year in the US?

In the field of algorithms, senior roles such as Principal Data Scientist, Lead Machine Learning Engineer, or Chief Data Officer can reach or exceed $500,000 annually, especially in large tech companies or finance firms. These positions typically require advanced skills in machine learning, data analysis, and programming, along with extensive experience and often a master's or PhD degree.

What are some common challenges faced by professionals working in algorithm development roles?

Professionals in algorithm development often encounter challenges such as balancing computational efficiency with accuracy, ensuring scalability for large datasets, and adapting algorithms to evolving requirements. Collaborating closely with data scientists, engineers, and product teams is essential to align solutions with real-world constraints and business goals. Staying current with the latest research and technologies is also important, as the field evolves rapidly and new methods frequently emerge.

What jobs pay 10,000 a month without a degree?

In the field of algorithms and related tech roles, high-paying jobs such as software developers, data scientists, and machine learning engineers can earn $10,000 or more per month, often without a formal degree if they have strong coding skills, experience, and certifications. Freelance consulting, contract work, or positions in tech startups may also offer such salaries based on expertise and project scope.
Algorithms jobs near you
Director of Algorithms, Ads Engineering

Director of Algorithms, Ads Engineering

Apple

Cupertino, CA • On-site

Full-time

Posted 8 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

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses...Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, Maps, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes -- from small app developers to big, global brands. When advertising is done right, it benefits everyone...Apple's advertising platform connects millions of developers and businesses with users across one of the world's most valuable digital ecosystems -- and the intelligence behind every ad decision lives in the algorithms. As the Director of Algorithms within Ads Engineering, you will lead the applied scientists and ML engineers who build and scale that intelligence: state-of-the-art retrieval, ranking, auction, and budget optimization systems that determine relevance, efficiency, and outcomes at massive scale. This is a role for a leader who wants to solve hard algorithmic problems that matter -- where privacy constraints sharpen the work rather than limit it, and where craft and rigor are the standard..
As the Director of Algorithms within Ads Engineering, you will be the driving force behind the intelligence engine that powers Apple's advertising ecosystem. You will lead a multidisciplinary organization of engineering managers, applied scientists, ML engineers, and systems engineers -- setting the vision, shaping the roadmap, and delivering at the intersection of cutting-edge research and production-scale engineering.Success in this role requires a leader who approaches problem-solving with tact, values diverse perspectives, and builds strong, trusting partnerships across organizational boundaries to deliver solutions that respect our users and empower our advertisers.
15+ years of professional experience in Machine Learning, Applied Science, or Software Engineering, with a strong focus on performance advertising, search, or recommendation systems.10+ years of engineering leadership experience, including a proven track record of managing other managers as well as senior/staff-level individual contributors.Deep technical expertise across the entire algorithms funnel, including signals processing, candidate matching, predictive modeling (e.g., CTR/CVR), and ranking.Experience with modern techniques using embeddings, transformer architectures, distillation methods, and reinforcement learning based methods.Extensive experience in algorithm engineering, with a strong understanding of how to build, deploy, and scale high-throughput, low-latency ML systems in production environments.Exceptional communication and diplomatic skills, with the ability to build consensus, navigate complex cross-functional relationships, and articulate technical strategies to both technical and non-technical stakeholders.A demonstrated commitment to fostering an inclusive, respectful, and highly collaborative team culture that empowers individuals to do their best work.Strong alignment with Apple's core values, particularly regarding user privacy and delivering premium user experiences.
Experience with privacy-enhancing technologies (PETs) or building ML systems under strict privacy constraints.Experience with Ads technology and domain.Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field, accompanied by relevant industry experience.

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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