1

Flexible Machine Learning Engineer Biotech Jobs in California

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Flexible working hours with a core collaboration window; 25 days annual leave. Job Overview Job ID 20985 Job Title Machine Learning Engineer Work Mode Onsite Experience 0-3 Years Ready to Apply?

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Unlimited/flexible paid time off * High‑impact role within a YC‑backed startup * Direct ...

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Job Summary The Machine Learning Engineer will lead the development of advanced Machine Learning and Artificial Intelligence solutions that support large-scale business applications and customer ...

New

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...

next page

Showing results 1-20

Flexible Machine Learning Engineer Biotech information

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

AspectFlexible Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML frameworksDegree in Statistics, Mathematics, or related fields; proficiency in data analysis
Work EnvironmentDevelops and deploys ML models in biotech R&D and production settingsAnalyzes biological data to extract insights, often in research labs or biotech companies
Employer & Industry UsageUsed by biotech firms focusing on AI-driven drug discovery and diagnosticsCommon in biotech research, clinical data analysis, and bioinformatics

The main difference is that a Flexible Machine Learning Engineer Biotech primarily develops and implements machine learning models tailored for biotech applications, while a Data Scientist Biotech focuses on analyzing biological data to generate insights. Both roles require strong technical skills, but the engineer emphasizes model deployment and integration, whereas the scientist emphasizes data interpretation and statistical analysis.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in California? The most popular types of Machine Learning Engineer Biotech jobs in California are:
What job categories do people searching Flexible Machine Learning Engineer Biotech jobs in California look for? The top searched job categories for Flexible Machine Learning Engineer Biotech jobs in California are:
What cities in California are hiring for Flexible Machine Learning Engineer Biotech jobs? Cities in California with the most Flexible Machine Learning Engineer Biotech job openings:

Machine Learning Engineer

Recruiting from Scratch

San Francisco, CA • On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
Recruiting from Scratch represents a dynamic and innovative company in the healthcare AI sector that is on a mission to transform healthcare operations through advanced machine learning. The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing workflows.
Responsibilities:
• Develop and optimize machine learning models using Python, PyTorch, and TensorFlow to enhance healthcare operations.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing workflows and systems.
• Conduct experiments and analyze data to improve model performance and accuracy.
• Implement best practices in machine learning and software engineering to ensure high-quality deliverables.
• Participate in code reviews and contribute to a culture of continuous improvement and innovation.
Qualifications:
Required:
• 3+ years of experience in machine learning engineering or a related field.
• Proficient in Python and experienced with frameworks such as PyTorch and TensorFlow.
• Strong understanding of machine learning algorithms and their applications in real-world scenarios.
• Experience in developing and deploying scalable machine learning models.
Preferred:
• Familiarity with healthcare data and understanding of industry-specific challenges.
• Experience with cloud platforms and deployment of machine learning solutions in production environments.
• Knowledge of data preprocessing and feature engineering techniques.
Company:
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware. Founded in 2021, the company is headquartered in Albany, USA, with a team of 11-50 employees. The company is currently Early Stage.

Recruiting from Scratch logo

About Recruiting from Scratch

Sourced by ZipRecruiter

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2021

Social media