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Contractual Computer Science Artificial Intelligence Jobs in California

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Contractual Computer Science Artificial Intelligence information

What is the difference between Contractual Computer Science Artificial Intelligence vs Contractual Data Scientist?

AspectContractual Computer Science Artificial IntelligenceContractual Data Scientist
Required CredentialsDegree in Computer Science, AI certificationsDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, research labs, startupsBusiness analytics, finance, healthcare sectors
Employer & Industry UsageDevelop AI models, algorithms, machine learning systemsAnalyze data, build predictive models, extract insights

Contractual Computer Science Artificial Intelligence roles focus on developing AI algorithms and systems, often requiring specialized certifications. In contrast, Contractual Data Scientists analyze data to inform business decisions. Both roles are common in tech-driven industries but differ in their core functions and skill sets.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for artificial intelligence (AI) roles, as many positions require knowledge of algorithms, programming languages like Python, and machine learning frameworks such as TensorFlow or PyTorch. Entry-level AI jobs often seek candidates with skills in data analysis, programming, and problem-solving, and certifications or specialized training can enhance prospects.

What are the most commonly searched types of Computer Science Artificial Intelligence jobs in California?

The most popular types of Computer Science Artificial Intelligence jobs in California are:

What cities in California are hiring for Contractual Computer Science Artificial Intelligence jobs?

Cities in California with the most Contractual Computer Science Artificial Intelligence job openings:

Contractual Computer Science Artificial Intelligence jobs near you

Sr. Machine Learning Engineer

Santa Clara, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

$143K - $189K/yr

Full-time

Re-posted 3 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Do you want to make Siri and Apple products safer for our users? The Siri and Information Intelligence team
is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more. We are deeply committed to ensuring that our platform remains a safe, welcoming, and trustworthy environment for everyone.
Description
We are looking for a highly skilled Machine Learning Engineer to join our Search Safety team. In this role, you will build and deploy state-of-the-art machine learning models designed to detect, demote, and filter harmful, abusive, or policy-violating content across our search ecosystem. You will work at the intersection of Search, Natural Language Processing (NLP), Image and Trust & Safety, addressing complex challenges like query intent understanding, adversarial evasion, jailbreaking, and multimodal content filtering. If you are passionate about protecting users and building robust ML systems at scale, we want you on our team.
Minimum Qualifications
3+ years of industry related experience, working in collaborative environments
Experience with utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models
Understanding product requirements then translating them into modeling tasks and engineering tasks
Proficient in at least two programing languages such as: Python, Go, Java, C/C++
BS in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related field or equivalent work experience
Preferred Qualifications
Experience working on content moderation, spam detection, fraud, or Trust & Safety ML teams.
Experience in red-teaming, adversarial training, or robustness evaluation of ML models.
Building machine-learned models and integrating safety signals directly into the search ranking and retrieval pipelines, balancing safety constraints with search relevance and user engagement.
MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related fieldor equivalent work experience

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

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