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Entry Level Machine Learning Engineer Jobs in Sacramento, CA

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

... machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the creation of AI ...

Mechanical Engineer

Woodland, CA · On-site

$100K - $110K/yr

... partners and learning from experienced technical leads. Location & Travel · Onsite role in ... forming, machining, casting, weldments, and/or injection molding, with an interest in design-for ...

Mechanical Engineer

Davis, CA · On-site

$100K - $110K/yr

... partners and learning from experienced technical leads. Location & Travel • Onsite role in ... forming, machining, casting, weldments, and/or injection molding, with an interest in design-for ...

Mechanical Engineer

Woodland, CA · On-site

$100K - $110K/yr

... partners and learning from experienced technical leads. Location & Travel · Onsite role in ... forming, machining, casting, weldments, and/or injection molding, with an interest in design-for ...

Mechanical Engineer

Woodland, CA · On-site

$100K - $110K/yr

... learning from experienced technical leads. Location & Travel Onsite role in Woodland/Davis, CA. Up ... Familiarity with manufacturing processes such as sheet metal forming, machining, casting, weldments ...

Mechanical Engineer

Davis, CA · On-site

$100K - $110K/yr

... partners and learning from experienced technical leads. Location & Travel · Onsite role in ... forming, machining, casting, weldments, and/or injection molding, with an interest in design-for ...

Mechanical Engineer

Davis, CA · On-site

$100K - $110K/yr

... learning from experienced technical leads. Location & Travel Onsite role in Woodland/Davis, CA. Up ... Familiarity with manufacturing processes such as sheet metal forming, machining, casting, weldments ...

... learning from experienced technical leads. Location & Travel Onsite role in Woodland/Davis, CA. Up ... Familiarity with manufacturing processes such as sheet metal forming, machining, casting, weldments ...

Mechanical Engineer

Woodland, CA · On-site

$100K - $110K/yr

... learning from experienced technical leads. Location & Travel Onsite role in Woodland/Davis, CA. Up ... Familiarity with manufacturing processes such as sheet metal forming, machining, casting, weldments ...

Mechanical Engineer

Davis, CA · On-site

$100K - $110K/yr

... partners and learning from experienced technical leads. Location & Travel • Onsite role in ... forming, machining, casting, weldments, and/or injection molding, with an interest in design-for ...

Mechanical Engineer

Davis, CA · On-site

$100K - $110K/yr

... partners and learning from experienced technical leads. Location & Travel · Onsite role in ... forming, machining, casting, weldments, and/or injection molding, with an interest in design-for ...

Showing results 41-60

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 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $73,962 per year, or $35.6 per hour.

Full-time

Posted 2 days ago

New


Job description

WHO WE ARE:

Seco is a global metal cutting and machining solutions provider with a strong heritage in innovation, precision tools, and lasting partnerships. With sustainability at the heart of how we work, we help manufacturers solve complex challenges and shape the future of manufacturing through collaboration, technology, and customer-focused solutions.

Seco SOLVA is transforming manufacturing by going beyond cutting tools to deliver holistic, end-to-end solutions that improve efficiency, profitability, and competitiveness across the full production process. Built on Seco's strong legacy, strategic partnerships, and innovative thinking, SOLVA helps manufacturers unlock their full potential through fast, easy, and sustainable solutions.

We are now looking for a Project Engineer to develop and deliver end-to-end manufacturing solutions from concept through industrialisation. In this role, you will combine machining expertise, digital engineering tools, project leadership, and customer collaboration to define practical technical approaches, implement robust solutions, and create measurable value for customers and partners.

Job Summary:
As Project Engineer, you will lead technical projects from concept through implementation, ensuring delivery to agreed scope, quality, timelines, cost, and customer expectations. You will analyse manufacturing processes, define machining and tooling strategies, use CAD/CAM and simulation software to optimise solutions, and coordinate customers, sales teams, technical partners, and internal specialists. You will also support proposals, validation, reporting, project governance, and continuous improvement while representing Seco as a trusted technical partner.

This role reports to the Regional Innovation Hub Manager

Key responsibilities of the role:

Technical & Project Responsibilities

  • Lead end-to-end manufacturing projects from concept to implementation, delivering quality solutions on time and within scope.
  • Turn customer needs into practical machining, tooling, and execution strategies.
  • Use CAD/CAM and simulation tools to optimise processes, proposals, validation, and project documentation.

Technical Leadership

  • Shape high-performing cutting-tool applications and machining strategies.
  • Provide technical direction on tool design, programming, process optimisation, and digital solution validation.

Team Management

  • Bring together sales, engineering, customer support, and technical specialists to achieve shared project goals.
  • Coach colleagues and share expertise to strengthen team capability and delivery.

Customer Engagement

  • Build trusted customer relationships and shape solutions that create clear business value.
  • Partner with sales throughout consultation, implementation, and troubleshooting.
  • Lead customer discussions and develop tailored tooling and machining solutions.

Operational & Strategic Oversight

  • Coordinate multiple projects, balancing priorities, resources, risks, and customer commitments.
  • Track performance and continuously improve workflows, standards, and project delivery.

Industry & Market Alignment

  • Turn customer feedback and market trends into new technical opportunities.
  • Benchmark competing solutions and champion digital transformation in manufacturing.

Data Analysis & Reporting

  • Analyse trial, process, and customer data to guide technical decisions and recommendations.
  • Showcase impact through case studies and measures such as tool life, cycle time, quality, productivity, and cost savings.

Health, Safety, Environment, and Compliance

  • Champion a safe, responsible, and environmentally conscious working culture.
  • Follow company policies and support risk management, quality improvement, and audits.

Required Competencies:

Skills and strengths we hope you bring

  • Strong machining expertise across turning, milling, drilling, cutting-tool applications, and process optimisation.
  • Hands-on experience with CAD/CAM, manufacturing simulation, and programming 2-, 3-, and 5-axis machines, including multitasking machines.
  • Confident project leader with strong problem-solving, planning, coordination, and attention to detail.
  • Clear communicator who can engage customers, influence technical decisions, and collaborate across sales, engineering, suppliers, and partners.
  • Digitally confident with CRM, Microsoft 365, project tools, dashboards, data analysis, and technical reporting.
  • Fluent written and spoken English, with effective presentation and report-writing skills.

Behavior

  • Customer-focused and accountable, with the technical credibility to create measurable value.
  • Autonomous, rigorous, and adaptable, while enjoying collaboration across diverse teams.
  • Curious, innovative, and data-driven, with a practical approach to complex manufacturing challenges.
  • Committed to safety, sustainability, continuous improvement, and ongoing learning.

Qualification and Experience:

  • Bachelor's degree in engineering, manufacturing, mechanical engineering, or a related technical field, or equivalent relevant industry experience.
  • 5-7 years of experience in production or mechanical engineering, technical application support, industrial sales, or customer-facing project delivery, preferably in metal cutting or manufacturing services.
  • Demonstrated experience leading technical projects, defining machining or tooling methodology, and delivering solutions from concept through implementation.
  • Experience with value-based or consultative selling, process development, CAD/CAM programming, CRM systems, and Microsoft Office tools.
  • Fluent English and willingness to travel domestically and internationally; a valid passport is required. Agile project management and Lean Six Sigma qualifications are advantageous.

Important information:
Selection and interviews will take place on an ongoing basis, so we encourage you to submit your application through the job link as soon as possible, and no later than 25 August 2026. To help us keep the recruitment process fair, smooth, and consistent for everyone, please submit your application only through the job link and not by personal email.