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

Windfall

Market Development Lead

San Francisco, CA

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 ...

Windfall

Market Development Lead

San Francisco, CA

$105K - $150K/yr

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 ...

Windfall

Market Development Lead

San Francisco, CA

$105K - $150K/yr

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 ...

Chariot Defense

Engineering Technician

San Bruno, CA · On-site

$24.40 - $65.40/hr

In this entry-level role, you will support the assembly, testing, and basic prototyping of ... Skills in CNC machining, sheet metal, PCBA assembly and wire harness builds. Role Requirements

TEAM, Inc.

ECS LDAR Apprentice

Benicia, CA

$49K - $54K/yr

TEAM is seeking an entry level person interested in learning and assisting in Leak Detection ... Working in plant and/or shop areas around production machinery with extreme noise levels. * Must be ...

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Entry Level Machine Learning information

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

As of Jun 23, 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

Market Development Lead

Windfall

San Francisco, CA

Full-time

Posted yesterday

Job description

As the Market Development Lead, you'll serve as the critical bridge between our marketing efforts and the sales team, playing a pivotal role in accelerating our revenue pipeline. 

You will execute high-quality inbound follow-up and warm outbound motions while building and iterating the AI-assisted workflows that power the top of our funnel.

This is not an entry-level role. We're looking for someone who has already proven they can generate a pipeline, write sequences that convert, and operate independently.

This role is for a highly motivated, intellectually curious professional who wants to be at the intersection of human persuasion, AI-powered outreach, and GTM operations.

You'll run and tune an AI-powered motion, chasing down high-intent inbound leads, calling into warm AI-sourced accounts, leading post-event follow-up, and making sure our sellers spend their time where it counts: in the room with qualified opportunities. 

If you're someone who geeks out on great copy, wants to understand how AI is reshaping GTM, and is hungry to build and scale something from the ground up, this is your role.

We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.

Responsibilities:
  • Own top-of-funnel pipeline generation across early stage inbound leads and Artisan AI-sourced leads into qualified opportunities
  • Execute rapid, thoughtful follow-up with webinar attendees, field event contacts, and marketing-sourced leads to book sales meetings
  • Drive pre- and post-event outreach to maximize pipeline generated from field events and conferences, using AI to handle research and first drafts so you can focus on high value conversations 
  • Build, write, and optimize Outreach sequences while owning message quality, brand alignment, and AI personalization
  • Leverage AI tools like Artisan, Outreach, and Claude for account identification, persona mapping, and tailored messaging
  • Identify and pre-qualify cold key persona contacts and ICP accounts across target verticals
  • Surface quality insights to RevOps, Sales, and Marketing on lead conversion to optimize GTM feedback loop
  • Serve as a signal amplifier between the top of funnel and the sales floor to improve the overall sales motion
Requirements:
  • Bachelors degree or equivalent experience
  • Minimum 1–3 years of experience in a sales development, inside sales, or growth marketing role with a demonstrable track record of quota attainment
  • Strong written communication skills—you can write a cold email that actually gets a reply
  • Comfortable making phone calls to high-propensity leads
  • Demonstrated ability to work with CRM and sales engagement tools (HubSpot, Outreach, Salesforce, or equivalent)
  • Intellectually curious with a genuine interest in how AI is changing sales and GTM motions
  • Strong instinct for the human role in AI-assisted outreach—you know AI helps with scale, but you own quality and persuasion
  • Proven ability to self-manage pipeline, prioritize high-intent leads, and operate independently 
  • Based in San Francisco; able to work from our SF office
Preferred Qualifications:
  • Experience in B2B SaaS, data, or martech
  • Experience selling into or prospecting within at least one of our core verticals: Retail, Travel & Hospitality, Financial Services, or Nonprofit organizations
  • Exposure to AI prospecting tools (Artisan, Clay, or similar)
  • Interest in a career path toward Sales, RevOps, Growth Marketing, or GTM Engineering
About Windfall
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.
 
We comply with CCPA. For more information on how we comply, review our privacy notice.
 
Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 
 
We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.