1

Senior Machine Learning Engineer Jobs in Ceres, CA

Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in ... and engineering. * Drive dealership relationships at multiple levels. Grow market share and sales.

Senior Safety Representative

Merced, CA · On-site

$92K - $130K/yr

... by operations, engineering, and the corporate ESH hierarchy. * Maintain absolute emergency ... You must be able to maintain three points of contact when climbing on/off machinery or on ladders.

Job Purpose In partnership with Engineer Manager, Maintenance Manager, Maintenance Supervisor and ... packaging machinery. • Trouble shooting. • Prioritize PM and AM activities with the weekly ...

Whether we are building schools to provide inspiring spaces for learning, roads to connect ... Program Director Required Qualifications: * 10+ years experience as a Senior Project Manager ...

Whether we are building schools to provide inspiring spaces for learning, roads to connect ... Program Director Required Qualifications: * 10+ years experience as a Senior Project Manager ...

We're one of the largest engineering and system integration firms in the United States providing ... Deliver regular updates to senior leadership on BD initiatives, progress, and market trends to ...

We're one of the largest engineering and system integration firms in the United States providing ... Deliver regular updates to senior leadership on BD initiatives, progress, and market trends to ...

Showing results 21-40

Senior Machine Learning Engineer information

See Ceres, CA salary details

$61K

$129.7K

$188.1K

How much do senior machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior machine learning engineer in Ceres, CA is $129,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $147,100.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Machine Learning Engineer jobs in Ceres, CA?

For Senior Machine Learning Engineer jobs in Ceres, CA, the most frequently searched job titles are:

What cities near Ceres, CA are hiring for Senior Machine Learning Engineer jobs?

Cities near Ceres, CA with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Ceres, CA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,726 per year, or $62.4 per hour.

Market Manager - Northern California

Lotlinx

Modesto, CA • On-site

$85K/yr

Full-time

Posted 23 days ago


Job description

Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management.

Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities.

Lotlinx is experiencing tremendous growth and has an exciting opportunity for a Market Manager based in Northern California.

Role details

The Market Manager builds & maintains influential relationships with customers and dealers by creating demand for Lotlinx products, proactively offering solutions. This person will generate sales with new dealerships, increasing market penetration, and contributing revenue. They will work with client launch teams, sales development, account management, and other business partners.

Key Responsibilities

  • Uncover dealer pain points/sales opportunities
  • Align Lotlinx's solutions to the dealer's business needs
  • Build consensus on proposals and secure agreements
  • Ensure dealer activation and smooth transition of the relationship to account management
  • Build and work a sales pipeline
  • Meet activity and revenue targets
  • Use best practices and knowledge of internal or external business issues to improve products/services or processes
  • Act as a resource for colleagues with less experience
  • Additional projects as needed

What You'll Be Doing Day-to-Day

  • Demand Creation: Identify and address the technical needs of complex, emerging, or underpenetrated prospects. Utilize a fundamental understanding of all Lotlinx's solutions to align them with customer business needs. Drive and create new opportunities within assigned accounts.
  • Account Management: Create selling opportunities through a planned discovery process. Develop a well-rounded understanding of customer needs and proficiently translate them into tailored Lotlinx product solutions. Execute solution selling by applying a comprehensive knowledge of Lotlinx products and design processes. Drive profit growth and maximize margins by promoting value-added, long-term solutions with an emphasis on demand creation and engineering.
  • Drive dealership relationships at multiple levels. Grow market share and sales.

What We Are Looking For

  • In-depth knowledge and experience of automotive industry and dealerships
  • Complex problem solver
  • Communicative and high energy
  • Self-motivated and ambitious
  • Well-organized and able to multitask, managing time wisely
  • Team player
  • Revenue-focused
  • Customer-focused
  • Works independently; receives minimal guidance

Requirements

  • Bachelor's degree or equivalent experience
  • 5+ years of sales experience preferred
  • Experience with presentation tools, Salesforce, and Outreach
  • Proven track record of sales success
  • Experience in the automotive industry is required
  • Existing in-market dealer relationships highly preferred

Pay: $85,000 base salary + uncapped commissions

Benefits: Medical, Dental, Vision, Matching 401k

Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Lotlinx is not currently able to offer sponsorship for employment visa status.

Lotlinx is headquartered in Peterborough, NH and has locations in Holmdel NJ, Manitoba, Ontario and British Columbia, Canada in addition to a large team spanning from the US to Canada.

Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees, their abilities and seek to foster an open, cooperative, dynamic environment where the team and company alike can thrive.