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Contract Machine Learning Engineer Biotech Jobs in Spring Valley, CA

Internship or research experience in data engineering, machine learning, or software engineering * Healthcare and/or revenue cycle management (RCM) exposure through coursework, research, internships ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 Jun 9, 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:
Machine Learning Engineer - Generative AI

Machine Learning Engineer - Generative AI

Qualcomm

San Diego, CA • On-site

Full-time

Posted 23 days ago


Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 186 rated software companies


Job description

Job Summary:
Qualcomm Technologies, Inc. is seeking an experienced Machine Learning Engineer specializing in Generative AI to join their core AI team. The role involves designing, developing, and deploying cutting-edge generative AI solutions, focusing on Large Language Models and intelligent agent systems.
Responsibilities:
• Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
• Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
• Create robust evaluation frameworks for measuring and improving model performance
• Build and maintain agentic workflows for autonomous AI systems
• Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Qualifications:
Required:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, or related work experience.
• OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Electrical Engineering, or related work experience.
• OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• Bachelor's or Master's degree in Computer Science, or related technical field
• 3+ years of experience in Machine Learning/AI engineering
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
• Practical experience with LLM deployments and fine-tuning
• Experience with vector databases and embedding models
• Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
• Strong understanding of RAG architectures and implementation
Preferred:
• Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
• Knowledge of prompt engineering and chain-of-thought techniques
• Experience with containerization and microservices architecture
• Background in Reinforcement Learning
• Contributions to open-source AI projects
• Experience with ML ops and model deployment pipelines
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985