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Machine Learning Ai Jobs in California (NOW HIRING)

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... Stay up to date with the latest advancements in AI, ML, and related technologies, and quickly learn ...

Mentor team members and contribute technical expertise to strategic data and AI initiatives. * Stay current with emerging Machine Learning and Artificial Intelligence technologies and practices.

Nace AI is a company focused on leveraging machine learning to drive product value. They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... AI's strategic objectives. Key Responsibilities: * Design, build, and maintain end-to-end ML ...

Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $342K/yr

  • Medical

  • Retirement

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-fro ... As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ...

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Showing results 21-40

Machine Learning Ai information

What are the key skills and qualifications needed to thrive as a machine learning AI?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What is a machine learning AI?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What are some common challenges faced when collaborating with cross-functional teams as a machine learning AI?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What cities in California are hiring for Machine Learning Ai jobs?

Cities in California with the most Machine Learning Ai job openings:

Infographic showing various Machine Learning Ai job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Scientist Intern (TikTok-Content Ecology-LLM application) - 2026 Start (PhD)

TikTok

San Jose, CA • On-site

$60/hr

Internship

Medical, Life

This job post has expired today. Applications are no longer accepted.


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

107th of 244 rated software companies


Job description

Responsibilities
The Content Ecology Algorithm Team drives TikTok's AI innovations in LLMs, NLP, Computer Vision (CV), multimodal learning, and recommendation algorithms. We develop cutting-edge AI capabilities that power multiple business lines, including Local Services, Search, Core Video Architecture, Professional Content (PGC), and User Growth (UG). Our work includes: - Short Video Content Understanding - Building multimodal AI models to analyze video, text, and speech. - Global Trending Event Detection - Developing real-time AI systems to detect viral trends worldwide. - Intelligent Customer Service - Implementing chatbot and automation solutions using LLMs. - AI-Driven Content Discovery - Enhancing personalized content recommendations through advanced algorithms. With millions of daily users, our work directly impacts TikTok's growth and user engagement. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities: - Develop and optimize LLM, NLP, CV, and recommendation models to improve TikTok's content ecosystem. - Implement multimodal AI solutions, integrating video, text, and speech understanding. - Optimize LLM-powered search, discovery, and content recommendation systems for better user engagement. - Train and fine-tune deep learning models using TensorFlow, PyTorch, or other ML frameworks. - Deploy and scale machine learning solutions in a distributed computing environment. - Work closely with AI researchers, software engineers, and business teams to apply AI technologies effectively.
Qualifications
Minimum Qualifications: - PhD in Computer Science, Machine Learning, AI, or a related field. - Strong programming skills in Python, C++, or similar languages. - Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. - Solid understanding of machine learning, NLP, CV, or recommendation algorithms. Preferred Qualifications: - Experience with distributed computing and optimizing AI models for real-world applications. - Ability to apply machine learning techniques to enhance business and user experiences. - Publications in top AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.) or strong contributions to open-source AI projects. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $60- $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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