ZipRecruiter

Log In

2

Entry Level Machine Learning Jobs in Concord, CA

Aviso, LLC

Junior Quality Engineer

Fremont, CA · On-site

$75K - $90K/yr

This is an exceptional entry-level career pathway designed for an early-career professional looking ... In this role, you will take a deeply hands-on approach from day one, learning our Quality ...

TEAM, Inc.

ECS LDAR Apprentice

Benicia, CA · On-site

$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 ...

previous page

Showing results 41-60

All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Concord, CA

Entry Level Machine Learning information

See Concord, CA salary details

$13

$19

$23

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

As of Aug 7, 2026, the average hourly pay for entry level machine learning in Concord, CA is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $20.82 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.

More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Concord, CA? The most popular types of Machine Learning jobs in Concord, CA are:
What are popular job titles related to Entry Level Machine Learning jobs in Concord, CA? For Entry Level Machine Learning jobs in Concord, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Concord, CA look for? The top searched job categories for Entry Level Machine Learning jobs in Concord, CA are:
What cities near Concord, CA are hiring for Entry Level Machine Learning jobs? Cities near Concord, CA with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Concord, CA as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 34% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $39,860 per year, or $19.2 per hour.

Junior Quality Engineer

Aviso, LLC

Fremont, CA • On-site

$75K - $90K/yr

Full-time

Posted 23 days ago

Job description

We are seeking a high-energy, technically minded Junior Quality Engineer to join our quality team. This is an exceptional entry-level career pathway designed for an early-career professional looking to build a long-term career in a fast-paced, high-precision contract manufacturing environment.
In this role, you will take a deeply hands-on approach from day one, learning our Quality Management Systems (QMS) from the ground up. You will support product inspections, analyze technical data, manage ERP/Epicor specifications, and collaborate closely with cross-functional teams and external client accounts (primarily within the aerospace sector). If you have an engineering mindset, a positive attitude, and a belief that no operational task is too small to deserve excellence, this is the perfect launchpad for your career.
Ideal Candidate Profile & Experience
  • Education: Bachelor’s degree in Mechanical Engineering or a related technical discipline preferred, or equivalent hands-on experience.
  • Experience Level: 0 to 2 years of experience in an engineering, manufacturing, or internship capacity. Experience within a job shop or contract manufacturing environment is a major plus.
  • Mindset: A strong technical/engineering mindset paired with a desire to learn rapidly in a fast-paced environment.
  • Work Ethic: A resilient, proactive attitude—someone who thrives in a highly collaborative, hands-on manufacturing environment and takes pride in precise documentation.
  • Tech-Savvy: Highly comfortable picking up new software, ERP systems (Epicor), and technical tools quickly.
  • Client-Facing Skills: Professional, clear, and articulate communication style when collaborating with internal teams and external customer accounts.
Key Responsibilities
Core Technical & Quality Duties
  • Product Inspections & Testing: Conduct thorough, hands-on physical inspections and testing to ensure contract manufactured products, components, and materials conform to strict client specifications.
  • Specification & Data Management: Learn to manage and enter engineering specifications and Change Orders (CO) within our Epicor system to support client accounts.
  • Data Analysis: Apply statistical analysis tools to identify quality trends and uncover process optimization opportunities on the production floor.
  • Root-Cause & CAPA Support: Assist engineering teams with investigations into quality non-conformances, utilizing root-cause analysis and 8D problem-solving methodologies.
  • QMS Compliance: Help maintain quality documentation, procedures, and forms to ensure alignment with ISO 9001 and ISO 13485 standards.
  • Equipment & Audits: Assist with the calibration of testing equipment and participate in internal, customer, and regulatory audits.
Strategic Customer & Team Collaboration
  • Customer-Centric Documentation: Develop clear, tailored document control instructions for key customer accounts to enhance compliance and satisfaction.
  • Cross-Functional Communication: Act as a proactive liaison between project managers, production teams, and international business units to streamline quality workflows.
  • Workflow Optimization: Utilize production schedule and machine load insights to prioritize tasks, enabling ahead-of-schedule preparation of quality documentation.
  • Continuous Improvement: Participate in team meetings, document action items, and actively suggest ways to streamline reporting and analysis processes.
Technical Skills & Qualifications
  • Design & Inspection: Familiarity with CAD software and quality inspection tools. Strong foundational skills in blueprint reading and Geometric Dimensioning and Tolerancing (GD&T).
  • Software Proficiency: Highly proficient in MS Office, specifically Excel (for data analysis) and PowerPoint (for presenting quality findings).
  • Regulatory Awareness: Exposure to or a strong desire to learn industry standards such as ISO 9001, ISO 13485, and cGMP.
  • Physical & Safety Commitment: Ability to perform physical tasks associated with quality audits, including the ability to move or transport inspection materials weighing up to 25 lbs. Strict adherence to safety protocols and wearing personal protective equipment (PPE) in designated manufacturing areas.