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Entry Level Machine Learning Jobs in Bakersfield, CA

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Entry Level Machine Learning information

See Bakersfield, CA salary details

$12

$18

$22

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

As of Jul 26, 2026, the average hourly pay for entry level machine learning in Bakersfield, CA is $18.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $19.62 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 $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

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 knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

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 jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
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Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Bakersfield, CA as of July 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $37,568 per year, or $18.1 per hour.
Field Specialist II / Completions

Field Specialist II / Completions

Weatherford

Bakersfield, CA

$30 - $38/hr

Full-time

Posted 6 days ago

Weatherford rating

7.3

Company rating: 7.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 86 rated oil and gas companies

Job description

Join our team as a Field Specialist and become the key technical interface at well sites, delivering superior service quality to clients in the oil and gas industry. This role offers progressive career growth from entry-level to senior positions, where you'll apply specialized techniques to troubleshoot complex technical issues, manage equipment installations, and lead field operations crews. Available 24/7 to meet customer needs, you'll work hands-on with advanced technology while maintaining the highest standards of safety, quality, and client satisfaction.

Roles and Responsibilities

  • Client Interface & Service Delivery: Act as the primary point of contact at well sites, managing service assignments and coordinating Weatherford personnel to ensure exceptional service quality and client satisfaction

  • Operations Management: Plan and execute jobs from preparation through completion, including tool mobilization, equipment testing, on-site operations, and timely submission of job reports, service tickets, and invoicing documentation

  • Technical Expertise: Operate, maintain, and troubleshoot tools and equipment according to work instructions; perform engineering checks, hand calculations, and software computations based on real-time field data

  • Safety Leadership: Participate in daily safety meetings, toolbox talks, and Job Hazard Analysis (JHA); maintain equipment and work areas in safe, presentable conditions while upholding HSE policies and the Company's Rules to Live By

  • Team Leadership: Senior roles will mentor junior specialists, lead equipment failure investigations, support Root Cause Analysis reports, and provide technical advisory services to management and clients

  • Inventory & Quality Control: Effectively manage site inventory and supplies; analyze data to recommend services and solutions; ensure all work meets required quality standards

  • Continuous Improvement: Follow up on equipment failures with the R&M team, contribute to research initiatives, and identify opportunities to improve products, procedures, and service delivery

Skills / Education

  • High School Diploma

  • 1 - 2 years of experience in the Oil & Gas industry

  • Technical Certificate from accredited Technical/Vocational School

  • Strong fundamentals in Mechanics, and/or Hydraulics

  • Proficiency in Mathematics, basic Physics, and computer fundamentals

  • Critical thinking, complex problem solving, active learning, and strong listening skills

  • Excellent reading and writing abilities with sound judgment and decision-making capabilities

  • Quality control analysis and service orientation mindset

  • Mathematical reasoning and ability to visualize tool assembly, repair, and modifications

  • Effective time management and ability to react efficiently when operating tools and machinery

  • Physical capability to perform demanding field work tasks

  • Strong information ordering skills with ability to identify and solve problems proactively

  • 50-75% of domestic travel is required. Valid Driver license.

Compensation Range: $30-$38 per hour 

#LI-KP1

Weatherford is a leading global energy services company. Our world-class experts partner with customers to optimize their resources and realize the full potential of their assets. Across our operating locations, including manufacturing, research and development, service, and training facilities, operators choose us for strategic solutions that add efficiency, flexibility, and responsibility to any energy operation.  

We are focused on technology development, digital solutions, and defining our footprint in the new energy space. Our ability to provide integrated solutions across our segments will be critical to growth in our core operations and the energy transition.  

Energy producers face unique challenges every day, so it is our job to create solutions that enhance safety, streamline operations, and sustain uptime to meet or exceed their targets. We operate across the global energy landscape employing some of the best diverse talent in the industry. At Weatherford, we understand the value each individual brings to the table. We celebrate diversity in all its forms and are immensely proud of our workforce. We invite you to join our passionate, talented, world-class team.  

When you join Weatherford, you instantly feel connected to something bigger - a community that is grounded by our core values and driven to create innovative solutions for our customers. We celebrate each other's successes, grow together, and learn from each other constantly. Individually, we are impressive. Together, we are unstoppable. We are One Weatherford. 

Join Us:  

Weatherford is producing energy for today and tomorrow- with global opportunities as unlimited as your sense of adventure. Join us to make an impact on our customers, the industry, and the world.  

Weatherford is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.


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