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Entry Level Machine Learning Jobs in Novato, CA (NOW HIRING)

SynergisticIT

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

From staffing to full implementation of projects we provide the highest quality IT Services. We Focus on Java/Full stack and Data Science/Machine learning/Python/AI candidates. You'll be responsible ...

Pwc

AI & GenAI Data Scientist - Manager

San Francisco, CA · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SynergisticIT

jr java developer/Data analyst

Berkeley, CA

$139K - $167K/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 ...

Sidecar

Software Engineer - Fraud

San Francisco, CA

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 ...

Windfall

Market Development Lead

San Francisco, CA · On-site

This is not an entry-level role. We're looking for someone who has already proven they can generate ... Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights ...

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All JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Novato, CA

Entry Level Machine Learning information

See Novato, CA salary details

$14

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

As of Jun 20, 2026, the average hourly pay for entry level machine learning in Novato, CA is $20.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $22.31 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.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

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 engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
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What cities near Novato, CA are hiring for Entry Level Machine Learning jobs? Cities near Novato, CA with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Entry Level Machine Learning Engineer

Entry Level Machine Learning Engineer

SynergisticIT

San Francisco, CA

Other

Posted 23 days ago

Job description

Entry Level Machine Learning Engineer

SynergisticIT understands the complex nature of the job market and how difficult it can be to secure a position, especially for fresh graduates. Therefore, we assist and help tech-savvies to convert their passions into professions. We go above and beyond to keep you working in your niche. As we focus on long-term success, we provide complete career development solutions. From job search to upskilling portfolio and interview preparation, we can guide you at every step of your career. SynergisticIT spares no efforts to connect you with a large network of tech giants, including Google, Apple, PayPal, Dell, Cisco, Client, etc.

Presently, we are actively looking for an Entry Level Machine Learning Engineer with a driven mindset. Get the right opportunity and gain experience in building web-centric solutions on Java.

Who Should Apply: Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking to make their career in IT Industry. We also assist in filing for STEM extension and H1b and Green card filing. Candidates who are serious about their future in the IT Industry and have set big goals for themselves.

Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill Enhancement Programs if the candidates are missing skills or experience which our clients need with great outcomes. Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement.

Candidates who Lack Experience Have had a break in careers Lack Technical Competency candidates who want to get employed and make a career in the Tech Industry

REQUIRED SKILLS For Java/Software Programmers:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java, javascript, C++ or software programming
  • Spring boot, Microservices and REST API's experience
  • Excellent written and verbal communication skills

For data Science/Machine learning REQUIRED SKILLS

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, Time series analysis

Technical skills are required by clients for selection even if its Junior or entry level position each additional Technical skill helps a candidate's resume to be picked by clients over other job seekers. Clients hire candidates with the right technical skills which they need and reject candidates who lack the required technical skills.

No third party candidates or c2c candidates Please apply to the posting No phone calls please. Shortlisted candidates would be reached out

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