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Entry Level Machine Learning Engineer Jobs in Sunnyvale, CA

Human Archive

Machine Learning Engineer

San Francisco, CA · On-site

$100K - $150K/yr

The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the ...

Amat

Machine Learning Engineer

Santa Clara, CA · On-site +1

$184K - $253K/yr

We're looking for a seasoned machine learning engineer with a deep ML foundation who has actively kept pace with the field-someone equally comfortable with classical ML and the latest generative ...

Aven

Machine Learning Engineer

Campbell, CA · On-site

We are looking for Machine Learning Engineers who have built product models from idea to delivery. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and ...

Relace

Machine Learning Engineer

San Francisco, CA · On-site

The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$165K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

... more programming languages such as Python, Java * Strong understanding and working knowledge of distributed systems, isolation and micro services * Good understanding of machine learning, deep ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

... more programming languages such as Python, Java * Strong understanding and working knowledge of distributed systems, isolation and micro services * Good understanding of machine learning, deep ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

We invite you to help us build that future. (See how people use Elicit today on Twitter; explore our vision in the roadmap.) About the role As a Machine Learning Engineer at Elicit, you'll build ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Sunnyvale, CA

Entry Level Machine Learning Engineer information

See Sunnyvale, CA salary details

$35.7K

$82.5K

$140.4K

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

As of Aug 6, 2026, the average yearly pay for entry level machine learning engineer in Sunnyvale, CA is $82,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $93,400.00 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 Sunnyvale, CA? The most popular types of Machine Learning Engineer jobs in Sunnyvale, CA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Sunnyvale, CA? For Entry Level Machine Learning Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Sunnyvale, CA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Sunnyvale, 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 Sunnyvale, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $82,521 per year, or $39.7 per hour.

Machine Learning Engineer

Amiri Recruiting

Mountain View, CA

$140K - $220K/yr

Full-time

Re-posted 13 days ago

Job description

Machine Learning Engineer

This is an opportunity with an early stage startup.(M-F, in Mountain View, CA)

About the Role

We're looking for an ML research-focused software engineer to join us on our mission to build AI superpowers for developers.

What you'll do

  • Train and fine-tune large language models

  • Navigate high levels of uncertainty and prioritize high-value ML experiments to maximize product impact

  • Demonstrate initiative and the ability to start and make progress on projects independently

  • Swiftly design, track, and analyze experiments results. Meticulously document findings, conduct ablation studies, and synthesize data into actionable insights.

  • Participate in the ML reading group and level up the team's knowledge of LLM training and infrastructure

About you

  • Strong software engineering skills. There are no pure research scientists at the company.

  • Strong grasp of the feasibility frontier of CS, AI, and LLMs, from H100 bandwidth to GPT-4 capabilities to vector database performance.

  • Deep curiosity about the code generation problem. Willingness to constantly re-examine priors in the face of new discoveries.

  • Skilled in transforming successful experimental outcomes into robust, scalable features for the core product offering

  • Experience training and iterating on large production neural networks in any domain (self-driving, language models, etc.) is a strong plus

  • Familiarity with AI-powered developer tools like Copilot, ChatGPT, and others is a strong plus

What we believe

  • Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station).

  • Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical.