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Entry Level Machine Learning Engineer Jobs in Davis, CA

Staffingine LLC

AI Engineer

Woodland, CA · On-site

AI Engineer Job Location: Woodland - California Job Type: Contract ... Design develop and deploy machine learning models and algorithms using Python Lead data science ...

Epic

Software Engineer

Elk Grove, CA · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Prophecy Technologies

Data Scientist

Elk Grove, CA · On-site

We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision ...

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Entry Level Machine Learning Engineer information

See Davis, CA salary details

$32.4K

$75K

$127.5K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for entry level machine learning engineer in Davis, CA is $74,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $84,800.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
More about Entry Level Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Davis, CA? The most popular types of Machine Learning Engineer jobs in Davis, CA are:
What cities near Davis, CA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Davis, CA with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Davis, CA as of May 2026, with employment types broken down into 1% Internship, 92% Full Time, 5% Part Time, 1% Contract, and 1% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $74,972 per year, or $36 per hour.

Data Analytics / Data Scientist Engineer - AGS 0527 SS#

NavitasPartners

Sacramento, CA

$40/hr

Full-time

Posted 4 days ago

Job description

Job Title: Data Analytics / Data Scientist Engineer

Location: Multiple locations across United States
Job Type: Full-Time / Contract

Note: We are looking for candidates who are eligible for Top Secret Clearance.

Position Overview

We are seeking a highly skilled Data Analytics / Data Scientist Engineer to support advanced aerospace and defence analytics initiatives. This role focuses on leveraging large-scale telemetry, mission systems, and maintenance datasets to drive predictive insights and improve operational readiness.

The ideal candidate will work on high-impact programs involving predictive maintenance, anomaly detection, and mission capability optimization within a complex, data-rich environment.

Key Responsibilities

  • Analyze large-scale datasets including telemetry, mission systems, and maintenance data
  • Develop predictive models for:
    • Equipment readiness
    • Failure trends
    • Maintenance optimization
  • Perform time-series analysis on sensor and operational data
  • Identify anomalies and patterns impacting system performance and mission success
  • Build and deploy machine learning models to support sustainment strategies
  • Collaborate with cross-functional teams including engineering, operations, and analytics
  • Create dashboards and visualizations to communicate insights to stakeholders
  • Support data-driven decision-making for operational and logistics optimization

Required Skills & Experience

  • Strong programming skills in Python (Pandas, NumPy, SciPy)
  • Experience with Machine Learning and predictive modelling
  • Proficiency in statistical analysis and modelling techniques
  • Solid experience with SQL and data querying
  • Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib)
  • Hands-on experience with time-series data analysis
  • Ability to work with large, complex datasets in production environments

Preferred / Nice-to-Have

  • Experience working with sensor data analytics
  • Exposure to telemetry data processing and exploitation
  • Background in flight test data reduction and analysis
  • Experience in aerospace, defence, or other regulated industries
  • Familiarity with predictive maintenance and reliability engineering

Work Environment

  • Collaborative, cross-functional team environment
  • High-impact, mission-driven projects
  • Opportunity to work on cutting-edge analytics and data science initiatives

Summary

This role is ideal for a data-driven professional passionate about solving complex, real-world problems using advanced analytics and machine learning. You will contribute directly to improving system performance, reliability, and operational efficiency in a highly technical domain.

For more details reach at shubham.sharma@navitassols.com.