ZipRecruiter

Log In

1

Al Developer Jobs in California (NOW HIRING)

Trinity Technology Solutions

AI Engineer

San Jose, CA · On-site

... engineering embedding fine tuning etc * Experience in working with structured as well as ... Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI ...

RevSpring, Inc.

Linux Site Reliability Engineer

Irvine, CA · On-site

$61.25 - $81.25/hr

Experience with automation/acceleration and/or DevOps techniques and technologies * Experience with containeriazation, orchestration, IaC, and/or CI/CD (Docker et al is a plus) * Experience with ...

RevSpring Inc

Linux Site Reliability Engineer

Irvine, CA

$61.25 - $81.25/hr

Experience with automation/acceleration and/or DevOps techniques and technologies * Experience with containeriazation, orchestration, IaC, and/or CI/CD (Docker et al is a plus) * Experience with ...

E-Solutions

AL/ML Full Stack Engineer

Encino, CA

Excellent programming skills. Expertise in front-end technologies, including JavaScript, CSS3 and HTML5. Expertise in server-side programming languages including Java, Ruby, PHP and Python. Excellent ...

Oracle

Software Developer 5

Redwood City, CA · On-site

As a Sr. Principal Softwa re Development Engineer in the Oracle Cloud Infrastructu re (OCI ... Facilitate and oversee re al-world operational re adiness , going beyond simple API integration to ...

Staffingine LLC

AI/ML engineer

Los Angeles, CA · On-site

$123K - $148K/yr

AI/ML engineer Job Location: Los Angeles, CA Job Type: Contract * 6 8 years of Handson experience ... Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI ...

Tensordyne

Sr. ASIC EDA Workflow Engineer

Sunnyvale, CA · On-site +1

... Al inference solutions that will make Al even more advantageous for compelling new generative AI ... Knowledge of Linux system administration and familiarity with cloud-based devops, with experience ...

Tensordyne

Sr. ASIC EDA Workflow Engineer

Sunnyvale, CA · On-site

... Al inference solutions that will make Al even more advantageous for compelling new generative AI ... Knowledge of Linux system administration and familiarity with cloud-based devops, with experience ...

Apple

CVML Algorithm Engineer

Sunnyvale, CA · On-site

... AL to develop efficient workflowExperience with software design, design data pipeline, and use C/C++Excellent interpersonal skills, communication, and documentation skills, including ability to ...

Tensordyne

Hardware Design Engineer

Sunnyvale, CA · On-site

... Al inference solutions that will make Al even more advantageous for compelling new generative AI ... Own multiple aspects of hardware system engineering of Tensordyne's flagship AI products. * Gather ...

Tensordyne

Hardware Design Engineer

Sunnyvale, CA · On-site

... Al inference solutions that will make Al even more advantageous for compelling new generative AI ... Own multiple aspects of hardware system engineering of Tensordyne's flagship AI products. * Gather ...

next page

Showing results 1-20

All JobsAl Developer JobsAl Developer Jobs in California

Al Developer information

How does an AI Developer typically collaborate with data scientists and software engineers on projects?

AI Developers frequently work in cross-functional teams, collaborating closely with data scientists to understand data requirements and model objectives, and with software engineers to integrate AI solutions into larger applications. Effective communication is essential, as AI Developers often translate complex technical concepts into actionable tasks for team members. Regular meetings, code reviews, and shared development environments are common practices to ensure alignment and smooth project progress. This collaborative structure helps deliver robust and scalable AI-driven products.

Is AI developer a good career?

An AI developer is a highly in-demand role focused on creating and implementing artificial intelligence solutions, often requiring skills in programming, machine learning, and data analysis. The field offers strong job growth, competitive salaries, and opportunities across various industries such as technology, healthcare, and finance.

Which 3 jobs will survive AI?

For an AI developer, roles that require complex problem-solving, creativity, and emotional intelligence are more likely to persist. These include jobs like AI ethics specialists, AI trainers and data annotators, and roles in strategic decision-making that involve human judgment. Such positions often require domain expertise, critical thinking, and interpersonal skills that are difficult for AI to replicate fully.

What is the difference between Al Developer vs Data Scientist?

AspectAl DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; programming skills in Python, TensorFlowBachelor's or higher in Statistics, CS, or related; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech or AI-focused companiesAnalyzes data, builds predictive models, reports insights; in tech, finance, healthcare sectors
Employer & Industry UsageTech companies, AI startups, R&D labsTech firms, finance, healthcare, research institutions

While both roles involve working with data and programming, Al Developers focus on creating AI algorithms and applications, whereas Data Scientists analyze data to extract insights and build models. The roles often overlap but differ in primary objectives and skill emphasis.

What are AI Developers?

AI Developers are professionals who design, build, and implement artificial intelligence solutions, such as machine learning models, neural networks, and natural language processing systems. They work with large datasets, programming languages, and AI frameworks to create intelligent software applications that can automate tasks, analyze data, and solve complex problems. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI capabilities into various products and services.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors, often in large tech companies or finance firms. These positions usually require advanced skills in AI, deep learning, and data analysis, along with extensive experience and sometimes specialized certifications. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

How much does an AI developer get paid?

AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch tend to command higher salaries.

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

To thrive as an AI Developer, you need strong programming skills (especially in Python), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems is essential, and certifications in AI or data science can be advantageous. Creativity, analytical thinking, and effective communication help you design innovative solutions and collaborate with multidisciplinary teams. These skills and qualities are crucial for developing robust AI models that solve real-world problems efficiently and responsibly.
What are popular job titles related to Al Developer jobs in California? For Al Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Al Developer jobs in California look for? The top searched job categories for Al Developer jobs in California are:
Al Developer jobs near you

Member of Technical Staff - TPU Systems (JAX / XLA / PALLAS)

RadixArk

Palo Alto, CA • On-site

Other

Posted 10 hours ago

Job description

About the Role

RadixArk is looking for a TPU Systems Engineer to build high-performance inference and training systems using JAX, XLA, and Pallas. You'll push model workloads to their limits on TPU hardware, working on SGLang-JAX and other critical infrastructure that enables efficient deployment of frontier models on Google's tensor processing units.

Requirements
  • 3+ years experience building production ML systems utilizing JAX/Torch, XLA, or TPU-focused frameworks. 
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or equivalent industry experience
  • Deep understanding of XLA internals preferred: HLO, MLIR, operator fusion, SPMD partitioning, and sharding strategies.
  • Strong performance tuning instincts across compiler and runtime layers
  • Experience with distributed inference systems (e.g. SGLang, vLLM) or training frameworks (e.g. Miles, Alpa, Pathways)
  • Proficiency in Python with demonstrated ability to write high-performance, production-quality code
  • Experience writing custom GPU/TPU/AI Accelerator kernels. Familiarity with Pallas for kernel development is strongly preferred. 
Responsibilities
  • Build high-performance inference and training systems using JAX/XLA/Pallas, including SGLang-JAX
  • Push large-model workloads to the limits on the newest TPU hardwares
  • Optimize end-to-end latency and throughput for LLM serving on TPU infrastructure
  • Design and implement SPMD strategies for efficient distributed inference and training
  • Design and implement Pallas kernels for operations that require customized low level control for best performance
  • Profile and optimize XLA compilation pipelines and HLO graph transformations
  • Collaborate with kernel engineers and compiler teams to achieve performance wins across the stack
  • Contribute to open-source projects with TPU optimization guides, benchmarks, and architectural insights
  •  
    About RadixArk

    RadixArk is an infrastructure-first company built by enggineers who've shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework).
    We're on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training.
    Our team has optimized kernels serving billions of tokens daily,designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastucture that powers leading Al companies and research labs.
    We're backed by well-known infrastructure investors and partner with  NVIDIA, Google,AWS,and frontier Al labs.
    Join us in building infrastructure that givees real leverage back to the Al community.

    Compensation

    We offer competitive compensation for this 1-year residency program, with health benefits and potential for conversion to a full-time role. Compensation is determined by location and prior experience. Strong residents may receive offers to join RadixArk full-time with equity after program completion.

    Equal Opportunity

    RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Apply