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Machine Learning Engineer Biotech Jobs in Modesto, CA

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

System Engineer

Lathrop, CA · On-site

$71 - $107/hr

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Senior Controls Engineer

Modesto, CA · On-site

$90K - $130K/yr

Control system validation experience of pharmaceutical/biotech systems a plus * Other PLC platform ... Learning and growth are key parts of the E Tech culture. We provide you with training and ...

Control system validation experience of pharmaceutical/biotech systems a plus * Other PLC platform ... Learning and growth are key parts of the E Tech culture. We provide you with training and ...

Senior Controls Engineer

Modesto, CA · On-site

$90K - $130K/yr

Control system validation experience of pharmaceutical/biotech systems a plus * Other PLC platform ... Learning and growth are key parts of the E Tech culture. We provide you with training and ...

Senior SAP Consultant

Modesto, CA · On-site

$150 - $190/hr

Experience with Agile or DevOps delivery methodologies. * Exposure to AI, SAP Business AI, SAP Joule, SAP BTP, machine learning, or enterprise automation initiatives. * SAP certifications are a plus.

Engineer, Sustaining

Livermore, CA · On-site

$100K - $145K/yr

Health Spending Plans * Comprehensive Online Learning Center - houses thousands of training ... Knowledge of machining, assembly, welding, brazing, anodizing, cleaning, and other precision ...

Keep learning - Take advantage of tuition reimbursement to further your education or skillset ... Has knowledge of commonly used concepts, practices, and procedures utilized in machine/system ...

Quality Engineer 3

Livermore, CA · On-site

$122K - $160K/yr

Health Spending Plans * Comprehensive Online Learning Center - houses thousands of training ... in the machining, semiconductor equipment, automotive or medical device sector * Ability to ...

Quality Engineer 3

Livermore, CA · On-site

$122K - $160K/yr

Health Spending Plans * Comprehensive Online Learning Center - houses thousands of training ... in the machining, semiconductor equipment, automotive or medical device sector * Ability to ...

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Machine Learning Engineer Biotech information

See Modesto, CA salary details

$33.2K

$135.9K

$204.1K

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

As of Aug 26, 2026, the average yearly pay for machine learning engineer biotech in Modesto, CA is $135,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $163,500.00 per year, depending on experience, location, and employer.

What does a machine learning engineer do in biotech?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do machine learning engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a machine learning engineer in biotech?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

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

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Modesto, CA?

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

What job categories do people searching Machine Learning Engineer Biotech jobs in Modesto, CA look for?

The top searched job categories for Machine Learning Engineer Biotech jobs in Modesto, CA are:

What cities near Modesto, CA are hiring for Machine Learning Engineer Biotech jobs?

Cities near Modesto, CA with the most Machine Learning Engineer Biotech job openings:

System Engineer

Lathrop, CA • On-site


Symbotic
Computer and Computer Peripheral Equipment and Software Wholesalers • 51 - 200 employees

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

184th of 246 rated software companies

Good employer

Respectful managers

Uninterrupted breaks


Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
Symbotic is seeking a System Engineer to support the day-to-day reliability, availability, and performance of our automated warehouse systems in a live production environment. This role is hands-on and operational in nature, aligned closely with a Maintenance Engineer or Lead Automation Technician profile. The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro-mechanical and automated systems to ensure safe, consistent system uptime. This role is not commissioning-focused, not controls-programming-heavy, and not customer-facing, but instead centered on system health, equipment reliability, and technical execution on site
What we do
The System Engineer is part of the Customer Operations organization which is responsible for leading the day-to-day operations of Symbotic's robotic material handling system. The Customer Operations organization drives operational excellence by engaging and partnering with our onsite customers to drive best-in-class quality, safety and system performance.
What you'll do
  • Monitor and maintain the health of automated systems including conveyors, lifts, robotic vehicles, motors, sensors, and PLC-controlled equipment.

  • Perform advanced electrical, mechanical, and automation troubleshooting to resolve production-impacting issues.

  • Diagnose failures across PLCs (Allen-Bradley), VFDs, AC/DC motors, servo motors, sensors, and control hardware.

  • Support and execute preventive and corrective maintenance activities on automated equipment.

  • Utilize system data, alarms, logs, and dashboards to identify fault conditions and recurring issues.

  • Document maintenance activities, repairs, and findings using CMMS systems (e.g., Maximo) and internal tools.

  • Act as a senior technical escalation point during system disruptions or downtime events.

  • Partner with on-site maintenance, operations, and technical teams to restore and stabilize system performance.

  • Provide technical guidance and on-the-job support to maintenance technicians and operators.

  • Step in to support critical on-site technical functions as needed to maintain operational continuity.

  • Ensure compliance with OSHA, LOTO, electrical safety, and Symbotic safety standards.

What you'll need
  • Bachelor's degree in Electrical Engineering, Computer Science, Software Engineering, Automation Engineering, or a related field, or equivalent hands-on experience.

  • Minimum of 1 year of hands-on experience with PLCs, preferably Allen-Bradley, focused on diagnostics and troubleshooting (not heavy programming).

  • Minimum of 1 year of experience with VFDs, including diagnosing speed, torque, and drive-related issues.

  • Minimum of 1 year of experience working with AC and DC motors.

  • Hands-on experience with automated systems such as conveyor systems, conveyor belts, vertical lifts, and motor-driven equipment.

  • Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS, robotics, servo motors, or 480V systems.

  • Working knowledge of SQL, Python, and Linux for diagnostics, log review, and system interaction.

  • Strong hands-on experience assembling, operating, maintaining, and troubleshooting robotics and electro-mechanical systems.

  • Prior experience in maintenance engineering, automation maintenance, or lead maintenance technician roles preferred.

Our Environment
  • Work is performed in an active industrial environment with high levels of automation.

  • Ability to work at heights of up to 45 feet and within confined spaces.

  • Ability to lift and/or move up to 50 pounds.

  • Exposure to varying temperatures and production conditions.

  • Must comply with all PPE, LOTO, fall protection, and electrical safety requirements.

  • Ability to work flexible hours, including off-shifts, as needed to support system uptime and recovery.

  • Valid driver's license required.

#LI-DM1
#LI-Onsite
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $71,000.00 - $107,000.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.


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