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Entry Level Machine Learning Engineer Jobs in Sacramento, CA

... machining and custom engineered tools that increase productivity, optimize costs, and accelerate ... Description The Mechanical Engineer I role is an entry-level engineering position responsible for ...

... machining and custom engineered tools that increase productivity, optimize costs, and accelerate ... Description The Mechanical Engineer I role is an entry-level engineering position responsible for ...

As a Physical Verification Engineer, you will be a key technical contributor within the ... Drive adoption of machine learning (ML) and artificial intelligence (AI)based physical verification ...

Mechanical Engineer

Rancho Cordova, CA · On-site

$68K - $72K/yr

Job Summary The Mechanical Engineer I is an entry-level engineering role responsible for supporting ... requirements Learning & Professional Development Build knowledge of products, materials ...

Seco is a global metal cutting and machining solutions provider with a strong heritage in ... Committed to safety, sustainability, continuous improvement, and ongoing learning. Qualification ...

New

Seco is a global metal cutting and machining solutions provider with a strong heritage in ... Committed to safety, sustainability, continuous improvement, and ongoing learning. Qualification ...

New

Seco is a global metal cutting and machining solutions provider with a strong heritage in ... Committed to safety, sustainability, continuous improvement, and ongoing learning. Qualification ...

New

Seco is a global metal cutting and machining solutions provider with a strong heritage in ... Committed to safety, sustainability, continuous improvement, and ongoing learning. Qualification ...

New

Showing results 21-40

Entry Level Machine Learning Engineer information

See Sacramento, CA salary details

$32K

$74K

$125.8K

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

As of Aug 10, 2026, the average yearly pay for entry level machine learning engineer in Sacramento, CA is $73,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $83,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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.

What is an entry level machine learning engineer?

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 most commonly searched types of Machine Learning Engineer jobs in Sacramento, CA? The most popular types of Machine Learning Engineer jobs in Sacramento, CA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Sacramento, CA? For Entry Level Machine Learning Engineer jobs in Sacramento, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Sacramento, CA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Sacramento, CA are:
What cities near Sacramento, CA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Sacramento, CA with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Sacramento, CA as of August 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $73,962 per year, or $35.6 per hour.

Assistant Adjunct Professor

University of California - Davis

Sacramento, CA • On-site

$124K - $130K/yr

Other

Re-posted 5 days ago


University Of California Davis rating

7.9

Company rating: 7.9 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

208th of 617 rated colleges and universities


Job description

Position overview
Salary range: A reasonable estimate for this position is $124,200 - $130,000
Application Window

Open date: June 10, 2026

Most recent review date: Thursday, Jun 25, 2026 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 1, 2027 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

Assistant Adjunct Professor - Engineering Skills Education Director

Anticipated start: September 21, 2026
Position duration: One-year with possibility of renewal
Percent time:100%

The UC Davis Professional Master's Program in Medical Device Development (MDD) invites applications to serve as Instructor of Record in the graduate level "Engineering Skills" sequence offered across Fall, Winter, and Spring quarters (courses are MDD 421: Engineering Skills 1: Computer Aided Design and Simulation; MDD 422: Engineering Skills 2: Electronics, microcontrollers, and coding; MDD 423: Engineering Skills 3: Prototyping. In addition to formal instruction, the candidate will oversee curriculum development, mentor student project teams, and support experiential learning activities within the Tech Foundry.

Candidates will be expected to contribute to the research and scholarly mission of the Tech Foundry through engineering design, prototype development, and translational research activities. They will also collaborate with faculty, researchers, clinicians and industry partners on projects, presentations and publications.

Position Description:

Research & Scholarly Work (65%)

The candidate is expected to contribute to the research and scholarly mission of the Tech Foundry through engineering design, prototype development, and translational research activities. The Tech Foundry is a core self-supporting device development facility with a mission to support research, innovation, and instructional support in the medical domain and beyond. The candidate will collaborate with faculty, researchers, clinicians, and industry partners on projects involving mechanical design, machining, CAM, additive manufacturing, and fabrication workflows. Contributions may include supporting and collaborating on scholarly publications, presentations, and other research activities that advance innovation, device development, and engineering solutions in healthcare and related fields.

Teaching (30%)

The candidate is expected to serve as the Engineering Skills Education Director for the UC Davis Tech Foundry. Responsibilities include serving as Instructor of Record for the SSGPDP graduate-level Engineering Skills sequence (MDD 421, 422, and 423), a three-course series that provides hands-on training in medical device design and development (see below for course descriptions). The curriculum includes engineering computing, CAD, simulation, prototyping, additive manufacturing, CNC machining, electronics, embedded systems, and machine learning applications for medical devices.

In addition to formal instruction, the candidate will oversee curriculum development for self-supporting activities, mentor student project teams, and support experiential learning activities within the Tech Foundry. The candidate is also expected to lead the development and delivery of non-degree educational programs, technical workshops, and workforce development activities for students, industry professionals, and community audiences.

MDD 421: Engineering Skills I (3 units, Fall) introduces foundational skills in coding (Python), computer-aided design (CAD), and numerical simulation. Students develop engineering problem-solving capabilities through modeling, finite element analysis, and design for manufacturability, with an emphasis on real-world medical device applications.

MDD 422: Engineering Skills II (3 units, Winter) builds on these foundations and focuses on prototyping and manufacturing. Students gain hands-on experience with rapid prototyping technologies such as 3D printing, laser cutting, and CNC machining, while learning to translate CAD designs into physical devices. The course also introduces workflows for converting medical imaging data into anatomical models and emphasizes design for fabrication in a regulated biomedical context.

MDD 423: Engineering Skills III (3 units, Spring) advances into integrated systems and emerging technologies, including electronics, embedded systems, and machine learning for medical devices. Students work with single-board computers, sensors, and custom circuit design, culminating in a project to build a functional device (e.g., a calorie-estimation system using optical sensing and ML techniques).

University and Professional Service (5%)

The candidate is expected to contribute service to the Department of Biomedical Engineering through participation on committees and working groups that support departmentally based self-supporting graduate professional degree programs. Service activities may include curriculum planning, program assessment, student recruitment, admissions, and continuous improvement efforts that advance the educational mission and long-term success of the programs.

The University will not offer sponsorship for this position. The successful candidate must be able to demonstrate that they are legally authorized to work in the United States.

Qualifications
Basic qualifications (required at time of application)

* Master's degree in Mechanical Engineering, Manufacturing Engineering, Biomedical Engineering, or related field

* Demonstrated expertise developing CAD models and generating CAM toolpaths for CNC machining of metals and plastics, and performing assembly and testing of experimental equipment or prototype systems of moderate complexity.

Preferred qualifications (other preferred, but not required, qualifications for the position)

* Prior teaching or training experience in a hands-on or applied setting

* Industry experience in medical devices, biomedical engineering, or advanced manufacturing

* Familiarity with interdisciplinary, project-based instruction

Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

  • Authorization to Release Information Form - This form is required for all applicants applying to academic recruitments. Please see the Employment Disclosure Requirements webpage for more information. Download, complete, sign, and upload the form.

  • Statement of Teaching

  • Statement of Research (Optional)

Reference requirements
  • 3-5 required (contact information only)
Apply link: https://recruit.ucdavis.edu/JPF07688

Help contact: celflores@ucdavis.edu

About UC Davis

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, Students and Third Parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

To implement this process, UC Davis requires all applicants for any open search to complete, sign, and upload the form entitled, "Authorization to Release Information" into UC RECRUIT as part of their application. If an applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration.

UC Davis is a smoke and tobacco-free campus.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UC Davis positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check.

The University of California, Davis (UC Davis) is committed to creating a welcoming and inclusive environment for all employees and students. Our excellence in research, teaching, and service are embodied by members of our academic community who share our commitment to these values. A variety of resources and programs are available to academics, staff, and students that reflect the core values reflected in our strategic plan: "To Boldly Go," our Principles of Community, the Office of Academic Affairs' Mission Statement, and the UC Board of Regents Policy 4400.

UC Davis is also a national leader in inclusive practice. There are numerous links available on the About Us webpage where you can learn more about our administration, campus rankings, locations, campus safety, sustainability, visiting UC Davis and UC Davis Health.

The university is consistently ranked among the top institutions in the world for campus sustainability practices by the UI Green Metric World University Rankings. UC Davis is focused on achieving net-zero greenhouse gas emissions and repeatedly shown its commitment to preserving a healthy and sustainable environment for generations to come.

The University of California and UC Davis are committed to offering a wide variety of benefits for employees. The University of California Employee benefits and UC Davis New Employee benefits webpages have additional information.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Job location
UC Davis Tech Foundry, Aggie Square, Sacramento, CA

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