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Machine Learning Engineer Associate Jobs in San Leandro, CA

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

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 ...

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 ...

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 ...

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 ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

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Machine Learning Engineer Associate information

See San Leandro, CA salary details

$46.9K

$93.4K

$149.2K

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

As of Jul 18, 2026, the average yearly pay for machine learning engineer associate in San Leandro, CA is $93,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $107,400.00 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 job categories do people searching Machine Learning Engineer Associate jobs in San Leandro, CA look for? The top searched job categories for Machine Learning Engineer Associate jobs in San Leandro, CA are:
What cities near San Leandro, CA are hiring for Machine Learning Engineer Associate jobs? Cities near San Leandro, CA with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer

Aivra Health LLC

San Francisco, CA โ€ข On-site

Other

Medical, Retirement, PTO

Posted 2 days ago


Job description

Machine Learning Engineer

Location: San Francisco, CA, USA (Hybrid/Remote)

Job Type: Full-Time

About the Role

We are seeking an innovative Machine Learning Engineer to design, develop, and deploy machine learning models that solve real-world business challenges. You will collaborate with data scientists, software engineers, and product teams to build scalable AI-powered solutions.

Key Responsibilities
  • Design, train, and deploy machine learning models.
  • Build data preprocessing and feature engineering pipelines.
  • Optimize model performance and accuracy.
  • Deploy ML models into production environments.
  • Collaborate with Data Scientists and Software Engineers.
  • Monitor model performance and retrain models when needed.
  • Maintain documentation for ML workflows.
  • Research and implement new machine learning techniques.
Required Qualifications
  • Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong Python programming skills.
  • Knowledge of Machine Learning algorithms.
  • Understanding of statistics and data structures.
  • Excellent analytical and problem-solving skills.
Preferred Skills
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • MLflow
  • AWS
  • Docker
  • Kubernetes
  • SQL
  • Git
Benefits
  • Health Insurance
  • Paid Time Off
  • Flexible Work Schedule
  • Learning & Development
  • 401(k)
  • Career Growth Opportunities