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Software Engineer Ai Model Training Jobs in California

Senior Software Engineer, AI Model Lifecycle

San Francisco, CA · On-site

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Software Engineer for the AI Model Lifecycle team will play a crucial role in building a ... Implement and maintain end-to-end training pipelines for Large Language Models. * RFT and ...

Senior Software Engineer, AI Model Lifecycle

Sunnyvale, CA · On-site

$143K - $189K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Software Engineer for the AI Model Lifecycle team will play a crucial role in building a ... Implement and maintain end-to-end training pipelines for Large Language Models. * RFT and ...

Experiment with SOTA models and data curation techniques to maximize AI training efficiency and ... Industries Software Development Referrals increase your chances of interviewing at Orbifold AI by ...

AI Software Engineer

El Segundo, CA · On-site

$80K - $210K/yr

  • Medical

  • Retirement

  • PTO

About the Role We're looking for an AI/ML Software Engineer to play a foundational role in ... Establish scalable MLOps pipelines and real-time inference services to streamline model training ...

Software Engineer - AI

Irvine, CA · On-site

$98.60 - $157.80/hr

  • Medical

  • Life

  • Retirement

  • PTO

AI Engineering & Agent Development*** Design and develop AI-powered agents for engineering ... Integrate Large Language Models (LLMs) into enterprise applications and workflows.**Software ...

System Software Engineer - AI

Palo Alto, CA · On-site

$140 - $200/hr

  • Retirement

System Software Engineer - AI About us: We are a stealth‑mode startup building foundational ... models. * Identify and resolve performance bottlenecks in distributed training and inference ...

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Showing results 21-40

Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in California?

For Software Engineer Ai Model Training jobs in California, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in California look for?

The top searched job categories for Software Engineer Ai Model Training jobs in California are:

What cities in California are hiring for Software Engineer Ai Model Training jobs?

Cities in California with the most Software Engineer Ai Model Training job openings:

Infographic showing various Software Engineer Ai Model Training job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Senior Software Engineer, AI Model Lifecycle

Crusoe

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
About This Role:
The Senior Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs).
What You'll Be Working On:
  • Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling.
  • Implement and maintain end-to-end training pipelines for Large Language Models.
  • RFT and Reinforcement learning to the fine tuning and training sections
  • Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).
  • Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale.

What You'll Bring to the Team:
  • Advanced degree in Computer Science, Engineering, or a related field.
  • 4-5+ years of industry experience leading and driving impactful projects in the AI Space
  • Experience in Generative AI (Large Language Models, Multimodal).
  • Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques.
  • Proactive and collaborative approach with the ability to work autonomously
  • Passion for building cutting-edge AI products and solving challenging technical problems.

Bonus Points:
  • Proficiency in Golang or Python for large-scale, production-level services and PyTorch
  • Contributions to open-source AI projects such as vLLM or similar frameworks.
  • Performance optimizations on GPU systems and inference frameworks.

Benefits:
  • Competitive compensation
  • Restricted Stock Units
  • Paid time off & paid holidays
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off

Compensation Range
Compensation will be paid in the range of up to $172,425 - $230,945 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.