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Entry Level Machine Learning Jobs in Mountain View, CA

Junior Web Application Developer

Sunnyvale, CA · On-site

$78K - $101K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

... Entry-level software engineers are expected to bring significant skills and training, and then to ... Experience with mathematical optimization, machine learning, signal processing or advanced ...

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry-level research role for individuals with ...

Keep learning about AI, machine learning, and software development to grow your skills ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

Keep learning about AI, machine learning, and software development to grow your skills ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

Strong engineering background coupled with experience around machine learning, pattern recognition, etc. * Code using primarily Python, Nodejs and PHP. * Work closely with other engineers on the team ...

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Entry Level Machine Learning information

See Mountain View, CA salary details

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How much do entry level machine learning jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level machine learning in Mountain View, CA is $20.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $22.40 per hour, depending on experience, location, and employer.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio; internships or entry-level positions can provide practical experience.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What are the most commonly searched types of Machine Learning jobs in Mountain View, CA? The most popular types of Machine Learning jobs in Mountain View, CA are:
What are popular job titles related to Entry Level Machine Learning jobs in Mountain View, CA? For Entry Level Machine Learning jobs in Mountain View, CA, the most frequently searched job titles are:
What cities near Mountain View, CA are hiring for Entry Level Machine Learning jobs? Cities near Mountain View, CA with the most Entry Level Machine Learning job openings:
Infographic showing various Entry Level Machine Learning job openings in Mountain View, 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 $43,229 per year, or $20.8 per hour.

Junior Web Application Developer

SynergisticIT

Sunnyvale, CA • On-site

$78K - $101K/yr

Other

Posted 22 days ago


Job description

Junior Java Full Stack Developer — Build, Deploy, and Get Noticed If you know how to code but are not getting callbacks, the problem may not be your ability—it may be your job-market readiness. Employers are looking for junior full-stack developers who can do more than complete assignments. They want candidates who can design APIs, connect databases, understand frontend and backend workflows, use Git, and talk confidently about how their applications work. SynergisticIT is seeking candidates interested in Java full-stack development, Spring Boot, React or JavaScript, REST APIs, SQL, microservices, cloud fundamentals, and DevOps basics. This posting is ideal for candidates who want to build a strong foundation in enterprise-style development and become more competitive for entry-level and junior developer roles. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is useful because it helps candidates move from scattered learning to a structured job-placement-focused process. Instead of simply collecting certificates or watching tutorials, candidates can focus on employer-aligned skills, stronger projects, interview readiness, and better resume presentation. Take the next step toward becoming a job-ready Java full-stack developer— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.