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Contract Machine Learning Engineer Biotech Jobs in Spring Valley, CA

Apple

Machine Learning Engineer- Gen AI

San Diego, CA · On-site

Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem ...

AppFolio

Staff Machine Learning Engineer

San Diego, CA · On-site

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on -- training, fine-tuning, inference, RAG ...

AppFolio

Sr. Machine Learning Engineer

San Diego, CA · On-site

$111K - $152K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Apple

Machine Learning Engineer- Gen AI

San Diego, CA

$142K - $214K/yr

Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem ...

Cisco

Principal Machine Learning Engineer

San Diego, CA · On-site

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

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All JobsContract Machine Learning Engineer Biotech JobsContract Machine Learning Engineer Biotech Jobs in Spring Valley, CA

Contract Machine Learning Engineer Biotech information

See Spring Valley, CA salary details

$32.2K

$131.8K

$198K

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

As of Jul 4, 2026, the average yearly pay for contract machine learning engineer biotech in Spring Valley, CA is $131,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $158,600.00 per year, depending on experience, location, and employer.

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

AspectContract Machine Learning Engineer BiotechContract Data Scientist Biotech
CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and pipelines for biotech applicationsAnalyzes data, builds statistical models, and interprets biological data
Industry UsageUsed in biotech R&D, drug discovery, and personalized medicineApplied in clinical data analysis, biomarker discovery, and research

Contract Machine Learning Engineers focus on developing and deploying ML models specific to biotech challenges, while Contract Data Scientists analyze biological data to extract insights. Both roles require strong technical skills but differ in their primary focus—model development versus data analysis.

What job categories do people searching Contract Machine Learning Engineer Biotech jobs in Spring Valley, CA look for? The top searched job categories for Contract Machine Learning Engineer Biotech jobs in Spring Valley, CA are:
What cities near Spring Valley, CA are hiring for Contract Machine Learning Engineer Biotech jobs? Cities near Spring Valley, CA with the most Contract Machine Learning Engineer Biotech job openings:
Contract Machine Learning Engineer Biotech jobs near you
Senior Machine Learning Engineer, Robotics

Senior Machine Learning Engineer, Robotics

Waymo

San Diego, CA

$110K - $152K/yr

Other

Posted 15 days ago

Job description

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. 

The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning. 

This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team.

You will:

  • Transition low-level Perception tasks from algorithms to machine learning
  • Work on system integration and optimization
  • Evaluate task-level and system-level quality, developing new metrics as needed

You have:

  • Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study 
  • 5+ years of industry experience
  • Strong C/C++ skills
  • Proficiency with Python
  • Experience with Computer Vision and Machine Learning
  • Experience with System Integration

We prefer:

  • Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline
  • Experience with sensor data processing (Lidar, camera, or radar)
  • Experience in the AV industry

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