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Machine Learning Engineer Associate Jobs in San Jose, CA

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

RIT Solutions

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...

Poesis LLC

Machine Learning Engineer

Menlo Park, CA

Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We ...

LeanData

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

Skild AI

Machine Learning Engineer

San Mateo, CA

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...

Eragon

Machine Learning Engineer

San Francisco, CA

Machine Learning Engineer We're looking for a Machine Learning Engineer to build and deploy production-grade AI systems. In this role, you'll take models from research to real-world applications ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Acceler8 Talent

Machine Learning Engineer

Alameda, CA · On-site

$200K - $250K/yr

Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...

Acceler8 Talent

Machine Learning Engineer

Hayward, CA · On-site

$200K - $250K/yr

Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...

Acceler8 Talent

Machine Learning Engineer

San Mateo, CA · On-site

$200K - $250K/yr

Machine Learning Engineer - San Francisco, CA What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that ...

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Showing results 1-20

All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in San Jose, CA

Machine Learning Engineer Associate information

See San Jose, CA salary details

$48.6K

$96.8K

$154.7K

How much do machine learning engineer associate jobs pay per year?

As of Jun 17, 2026, the average yearly pay for machine learning engineer associate in San Jose, CA is $96,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $111,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in San Jose, CA? The most popular types of Machine Learning Engineer jobs in San Jose, CA are:
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What cities near San Jose, CA are hiring for Machine Learning Engineer Associate jobs? Cities near San Jose, CA with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Machine Learning Engineer

Machine Learning Engineer

RAPID EAGLE INC

Sunnyvale, CA • Remote

$70 - $80/hr

Full-time

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

Job description

Machine Learning Engineer
100% Remote
We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value. The ideal candidate will have strong expertise in machine learning algorithms, data engineering, model deployment, and cloud technologies.

Key Responsibilities:
  •  Design, develop, and deploy machine learning models for predictive analytics, classification, recommendation systems, and NLP applications. 
  •  Build and optimize end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, and deployment. 
  •  Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate business requirements into ML solutions. 
  •  Develop and maintain scalable APIs and microservices for model serving. 
  •  Monitor model performance, retrain models, and implement MLOps best practices. 
  •  Work with large-scale structured and unstructured datasets. 
  •  Optimize model accuracy, scalability, and reliability in production environments. 
  •  Implement CI/CD pipelines for ML model deployment and lifecycle management. 
Required Skills:
  •  5+ years of experience in Machine Learning Engineering or Data Science. 
  •  Strong programming skills in Python. 
  •  Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, XGBoost. 
  •  Strong understanding of machine learning algorithms, statistics, and data structures. 
  •  Experience with SQL, data processing, and feature engineering. 
  •  Hands-on experience with cloud platforms such as AWS, Azure, or GCP. 
  •  Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps tools. 
  •  Knowledge of REST APIs, microservices architecture, and model deployment. 
  •  Experience working with distributed computing frameworks such as Spark.
Rapid Eagle logo

About Rapid Eagle

Sourced by ZipRecruiter

Rapid Eagle is dedicated to delivering testing solutions that help organizations take on important initiatives and reach their goals. They have a strong understanding of various industries and functions, utilize advanced technology, and operate on a global scale. The company encourages a culture of entrepreneurial thinking at all levels, promoting ownership, leadership, and accountability. What sets Rapid Eagle apart is their expertise in providing comprehensive testing solutions. They have a specialized team with extensive knowledge and experience, combining traditional values, a strong work ethic, and expertise in specific domains. The management team also has a deep understanding of client expectations. In short, Rapid Eagle Technologies is an IT company that focuses on testing solutions, brings together a skilled team with industry expertise, and strives to meet client expectations.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2005

Social media

Twitter

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