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Entry Level Machine Learning Engineer Jobs in Santa Clara, CA

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 ...

Skild AI

Machine Learning Engineer

San Mateo, CA

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 ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

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 ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA · On-site

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

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 ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

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 ...

Altera

Machine Learning Engineer

San Jose, CA · On-site

About the Role We are seeking a Machine Learning Engineer to help drive the development,optimizationand deploymentof Altera FPGA Compiler. In this role, you will work at the intersection of machine ...

New

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Santa Clara, CA

Entry Level Machine Learning Engineer information

See Santa Clara, CA salary details

$35.5K

$82K

$139.5K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for entry level machine learning engineer in Santa Clara, CA is $81,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $92,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Santa Clara, CA? The most popular types of Machine Learning Engineer jobs in Santa Clara, CA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Santa Clara, CA? For Entry Level Machine Learning Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Santa Clara, CA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Santa Clara, CA with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $81,976 per year, or $39.4 per hour.

Machine Learning Engineer

Indotronix International Corporation

Pleasanton, CA • On-site

Contractor

Posted 13 days ago

Job description

Machine Learning Engineer | Pleasanton, California, United States Machine Learning Engineer (Azure Focus) - Remote (PST) [About the Role] Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a fully remote environment. This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real business impact by delivering robust, scalable models for enterprise applications. [Responsibilities] - Design, build, and deploy machine learning models using neural networks and NLP techniques to solve business challenges - Manage the complete ML lifecycle: data preparation, model selection, training, evaluation, deployment, and ongoing performance monitoring - Leverage Python and ML frameworks (TensorFlow, PyTorch, Keras) to develop, optimize, and maintain models - Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining in Azure environments - Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver production-ready AI solutions - Utilize Azure Machine Learning, Azure DevOps, and Azure Databricks for end-to-end ML operations [Required Skills and Experience] - Proven track record developing and deploying machine learning models into Microsoft Azure cloud platforms - Hands-on expertise with neural networks and NLP methods (text classification, sentiment analysis, entity extraction, chatbots, or language models) - Advanced proficiency in Python; practical experience with R and SQL for data extraction and statistical modeling - Deep understanding of supervised and unsupervised learning algorithms, model evaluation, and optimization - Mastery of modern ML frameworks (TensorFlow, PyTorch, Keras) in production - Demonstrable experience in MLOps: CI/CD for ML, model monitoring, version control, retraining, and production support [Preferred Skills] - Experience with Azure Databricks, Azure Functions, and Azure Pipelines - Familiarity with containerization (Docker/Kubernetes) for scalable ML deployments - Strong feature engineering and ML pipeline automation skills [Benefits] - 100% remote work-collaborate with a diverse team from anywhere within PST hours - Opportunity for contract extension and career progression on impactful enterprise AI projects - Exposure to best-in-class Azure ML infrastructure and enterprise DevOps practices [How to Apply] Excited to build and deploy cutting-edge AI solutions in Azure? Submit your resume now. Qualified candidates will be contacted for an initial screening and technical interview.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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