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Machine Learning Ai Developer Jobs in Santa Clara, CA

Machine Learning/AI Engineer (Lead)

Fremont, CA · On-site

$112K - $147K/yr

Machine Learning Lead/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD ***Need Strong experience in ...

Machine Learning/AI Engineer (Lead)

Hayward, CA · On-site

$117K - $154K/yr

Machine Learning Lead/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD ***Need Strong experience in ...

Machine Learning/AI Engineer (Lead)

Santa Clara, CA · On-site

$119K - $157K/yr

Machine Learning Lead/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD ***Need Strong experience in ...

Machine Learning/AI Engineer (Lead)

San Mateo, CA · On-site

$116K - $153K/yr

Machine Learning Lead/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD ***Need Strong experience in ...

Machine Learning/AI Engineer (Lead)

Sunnyvale, CA · On-site

$121K - $160K/yr

Machine Learning Lead/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD ***Need Strong experience in ...

Machine Learning/AI Engineer (Lead)

San Jose, CA · On-site

$120K - $158K/yr

Machine Learning Lead/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD ***Need Strong experience in ...

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...

Abaka AI is built on a mission to be the world's most trusted data partner for AI companies. They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ...

Abaka AI is built on the mission to be the world's most trusted data partner for AI companies, supporting global partners with reliable and scalable data solutions. The Machine Learning Engineer will ...

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... We're looking for seasoned engineers with machine learning backgrounds to support this mission.

Develop machine learning applications according to requirements * Select appropriate datasets and ... Train ML/AI algorithms and test them for accuracy, precision and recall. * Perform statistical ...

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Machine Learning Ai Developer information

See Santa Clara, CA salary details

$11

$62

$84

How much do machine learning ai developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for machine learning ai developer in Santa Clara, CA is $62.69, according to ZipRecruiter salary data. Most workers in this role earn between $55.34 and $71.15 per hour, depending on experience, location, and employer.

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

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What cities near Santa Clara, CA are hiring for Machine Learning Ai Developer jobs? Cities near Santa Clara, CA with the most Machine Learning Ai Developer job openings:
Infographic showing various Machine Learning Ai Developer job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $130,393 per year, or $62.7 per hour.

Machine Learning/AI Engineer (Lead)

Nexwave

Fremont, CA • On-site

$112K - $147K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role : Machine Learning Lead/AI Engineer (Lead)


Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office)

Exp Req : 15-20 Yrs Max


Visa : USC/GC/GC EAD


***Need Strong experience in Snowflake , Azure Machine Learning, MLOps


Role Summary


We are seeking a hands-on Machine Learning / AI Engineer to lead the adoption, governance, and productionization of ML and AI solutions within a leading Dental Insurance organization. This role will serve as the technical advisor and mentor for citizen data scientists and ML practitioners, establishing best practices, scalable architectures, and operational frameworks for AI/ML solutions. The ideal candidate has strong experience with Snowflake, Azure Machine Learning, MLOps, and enterprise AI platforms.


Key Responsibilities

Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps.

Partner with business, product, data engineering, and analytics teams to identify and prioritize AI/ML use cases.

Guide citizen data scientists and analysts in developing production-ready ML solutions.

Design, build, and operationalize ML models and AI solutions using Snowflake and Azure ML.

Establish model governance, monitoring, versioning, explainability, and model lifecycle management processes.

Collaborate with Data Engineering teams to build scalable feature engineering and data pipelines.

Evaluate and recommend AI/ML tools, frameworks, and architectural patterns.

Support deployment and operationalization of predictive analytics, NLP, GenAI, and intelligent automation use cases.

Ensure compliance with security, privacy, and regulatory requirements in a healthcare/insurance environment.


Required Qualifications

7+ years of experience in Data Science, Machine Learning, or AI Engineering.

Strong hands-on experience with Azure Machine Learning and MLOps.

Experience working with Snowflake, including Snowpark, ML capabilities, and AI features.

Proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.

Experience deploying and monitoring ML models in production environments.

Strong understanding of feature engineering, model governance, and model lifecycle management.

Excellent communication and stakeholder management skills.


Preferred Qualifications

Experience in Healthcare or Insurance domains (Dental Insurance preferred).

Experience with Generative AI, LLMs, RAG architectures, and AI governance.

Familiarity with Azure OpenAI, Snowflake Cortex, and enterprise AI platforms.


Regards,

Mike Smith

mike.smith@vbize.net